Digitized by the Internet Archive in 2011 with funding from Boston Library Consortium Member Libraries http://www.archive.org/details/provisionofqualiOOIaff working paper department m. |DEC 21 of economics PROVISION OF QUALITY AND POWER OF INCENTIVE SCHEMES IN REGULATED INDUSTRIES Jean-Jacques Laffont Jean Tirole No. 528 August 1989 massachusetts institute of technology 50 memorial drive Cambridge, mass. 02139 PROVISION OF QUALITY AND POWER OF INCENTIVE SCHEMES IN REGULATED INDUSTRIES Jean-Jacques Laffont Jean Tirole No. 528 August 1989 MIT *«R*«irs DEC 2 1 1989 flEOSVED PROVISION OF QUALITY AND POWER OF INCENTIVE SCHEMES IN REGULATED INDUSTRIES by Jean-Jacques Laffont ** and Jean Tirole April 1989 * Research support from the Taussig visiting professorship at Harvard University, the Guggenheim Foundation, the Pew Charitable Trust/Ford Foundation ENS Program, the Center for Energy Policy Research at M.I.T., the National Science Foundation, and the French Ministry of Education is gratefully acknowledged. ** GREMAQ, Universite des Sciences Sociales, Toulouse. *** Harvard University and Massachusetts Institute of Technology. Abstract We study the incentives of a regulated monopoly to supply quality. an experience good, the current level of sales yields For information about no quality and the cost reimbursement rule is the only instrument to achieve the conflicting goals of provision of quality and cost reduction. for quality moves optimal contracts increase in the discount factor raises toward the cost-plus A high concern contracts; and power of incentive schemes. an In contrast, for a search good, direct sales incentives can be provided to supply quality; cost-plus whether or a high fixed-price quality concern contracts then drives depends quality are net substitutes or net complements. optimal on contracts whether toward quantity and 1 . Introduction . An unregulated monopolist may have two incentives the and incentive" "sales the quality when (experience good) then quality is a reduction in quality incentive the monopolist has no , consumers observed by is consumers may repeat their purchase in the future. is , quality: and thus revenue as the monopoly price exceeds marginal cost. reduces sales, contrast, When incentive." "reputation observed by consumers before purchasing (search good) In provide to with linked the monopolist's desire to only purchasing after supply quality unless to The provision of quality keep its reputation and preserve future profits. In this paper, we investigate whether Before doing so, quality exist in a regulated environment. and verifiable distinguish between observable observable by consumers either before incentives similar or quality. after it to consumption. useful to is Quality provide is usually Quality is furthermore verifiable if its level can be (costlessly) described ex-ante in a When quality is verifiable, the contract and ascertained ex-post by a court. regulator can impose a quality target to the regulated firm or more generally reward or punish the firm directly as a function of the level of quality. For instance a regulatory commission may dictate the heating value of gas or may punish outages. an electric Formally, utility on the basis of the number and intensity of the regulation of verifiable quality is analogous to the regulation of a multiproduct firm, as the level of quality on a given product may be treated as the quantity of another, fictitious product. This paper will be concerned with observable but unverifiable quality. The effectiveness of a new weapons system, regulated television station, See Sappington theories of the regulation. the level of the quality of broadcasting by a services enjoyed by a for and Laffont-Tirole [1983] [1988] regulation of a multiproduct firm with railroad information-based and without cost passenger or the probability of a core melt-down at a nuclear plant are hard to quantify and include in a formal contract. As Kahn [1988, p. 22] argues: But it is far more true of quality of service than of price that the primary responsibility remains with the supplying company instead of with the regulatory agency, and that the agencies, in turn, have devoted much more attention to the The reasons for this are fairly latter than to the former. Service standards are often much more difficult to clear. specify by the promulgation of rules. When quality is unverif iable unregulated firm First, regulation. Second, to provide , the regulator must recreate the incentives of an quality without throwing away the benefits of it must reward the regulated firm on the basis of sales. the threat of nonrenewal of the regulatory license, of second sourcing or of deregulation makes the regulated firm concerned about its reputation as supplier of quality. The focus of our analysis is the relationship between quality concern and power of optimal incentive An schemes. incentive scheme high- is powered if the firm bears a high (low) fraction of its realized costs. fixed-price contract is very high-powered, and a cost-plus (low-) Thus a contract is very low-powered. The link between quality and the power of incentive schemes has been much For instance, there has been a concern that "incentive regulation" discussed. (understand: high-powered incentive schemes) conflicts with safe the operation of nuclear power plants by forcing management to hurry work, There have been accounts shortcuts and delay safety investments. switch to after its a high-powered incentive scheme privatization (Vickers -Yarrow [1988, 2 p. produced 228]). 2 a for poor Similarly, British Telecom record on Kahn [1988, the I, that (price quality p. 24] take the caps) front contends It is not surprising that the dissatisfaction with the quality performance subsequently led to the costly development and monitoring of quality indices to be included in the incentive schemes. that, under cost-of -service regulation (a very low-powered Incentive scheme), In the matter of quality "far more than in the matter of price, of the monopolist on the one hand and the nearly coincident than in conflict." consumer on the intuition monetary costs these is paid the Second, by consumers First, incomplete. costs. regulation, are and more other interest are more Kahn's intuition is that the regulated monopolist does not suffer from incurring monetary costs because the some through components importantly, to direct of under enhance quality charges. quality pure This Involve non cost-of -service regulated firm does not gain from providing costly services either so that a low perceived cost of supplying quality does not imply a high incentive to supply quality. 3 Last, in the context of military procurement, Scherer [1964, pp. 165-166] has suggested that There is reason to believe that the use of fixed-price contracts would not greatly reduce the emphasis placed on quality in weapons development projects, although it might affect certain marginal tradeoff decisions with only a minor expected impact on future sales. To give formal arguments to assess the relevance of these perceptions, we introduce two related natural monopoly models of an experience and of a search good. Whether the power of regulatory contracts when decreases quality becomes more desirable depends crucially on whether contractual incentives can be based on sales (on top of cost) or not, i.e., on whether the regulated firm 3 In practice, one does not observe pure cost-of -service regulation. Due to the regulatory lag, the regulated firm is, like an unregulated monopolist, the residual claimant for the revenue it generates and costs It incurs between rate reviews (the differences being that the prices are fixed and that the regulated monopolist is concerned about the ratchet effect) thus actual cost-of -service incentive schemes are not as low-powered as one might believe. We will not try to study (variants of) cost-of-service regulation, but will rather focus on optimal regulation. See Joskow and Rose [1987] for empirical evidence on the level of services under cost-of-service regulation. ; supplies a experience search good, the experience an good. is then reputation the fixed amount a The supplier's incentive, of a as although other has no incentive to provide losing of procurement model, interpretations and latter the possible are former model The consumers who observe quality before purchasing. thought regulator possibility the i.e., an regulated from the the , of our static search good model has the firm sell to In contrast, future sales. two-period model our unverif iable ex-ante is alternative than to accept the product. quality In regulator purchases quality Because firm. or as best regulation model, a particular, (in is regulated some products are experience goods) To separate issues in this paper we choose cost functions for which the incentive-pricing dichotomy (Laf font-Tirole holds. [1988]) Pricing not is used to extract the rent due to asymmetric information. In the case of an experience pood , we argue incentives that quality and those to reduce cost are inherently in conflict. has a types but single instrument the the cost reimbursement rule High-powered incentives schemes of incentives. increase -- firm's perceived cost of -- The regulator more concerned decreases, schemes. about which the induces future, the provide both to induce cost reduction providing quality. crowding-out effect implies that the more important quality is, power of an optimal incentive scheme. supply to This the lower the We also show that when the firm becomes its perceived regulator to cost offer of more quality supplying powerful incentive We thus find Scherer's suggestion quite perceptive. In the case of a search good , the crowding-out effect is latent but has no influence on the power of incentive schemes. In our model, the regulator can separate the two incentive problems because it has two instruments: reimbursement rule and sales incentives. The incentive to provide quality is provided through a reward based on a quality index, sales corrected by the price charged by cost the firm. which is As in the the level case of of an experience cost-reducing activity the good, encouraged is through the cost reimbursement rule, which is now freed from the concern of providing the right This dichotomy does not, however, quality incentives. in the of desirability schemes; it has decrease the has quality effect no on imply that an increase power the of an indirect effect because higher services may and cost reducing marginal of level optimal which output, thus affects turn in changes regulator's the incentive increase or value of the arbitrage between incentives and rent extraction. While there exists a vast literature on the provision of quality by an monopoly, unregulated devoted this to that assume discriminate Mussa-Rosen 4 surprisingly issue the in a monopolist among consumers and [1978]) little regulated offers with investigate theoretical environment. range a different of Besanko verifiable tastes effect of the work of Lewis and unverifiable quality. Sappington [1988] , who for et been has al . [1987] qualities quality (a to la imposing minimum quality standards or price ceilings (see also Laffont [1987]). the research Closer to our paper is examine both verifiable and Sales depend on a demand parameter, price and quality. When quality is unverifiable, Lewis and Sappington assume that the regulator monitors prices (but not cost, quantity or quality) and operates transfers to the firm. To give incentives to provide quality the regulator allows prices in excess of the (known) marginal cost. A higher mark-up above marginal cost raises the dead-weight loss due to pricing but also raises quality. Lewis and Sappington show that the rent derived by the firm from its private information about the demand parameter is higher when quality is verifiable than when it is not. Our work differs from theirs in that, among other things, we allow cost observation and focus on the effect of quality concerns on the power of incentive schemes. 4 See, e.g., Tirole [1988, chapters 2 and 3] The paper is organized as follows. His imperfect knowledge of the production and output of a natural monopoly. and of the activities cost-reducing demand and function makes provision 3 problems quality/services of cannot be disentangled from other costs, Section the of inducing non trivial. monetary services enter total cost but Services are monetary or nonmonetary; aggregate accounting data. develops a single product, 2 The regulator observes the total cost, price static model of sales incentive. technology Section cannot be recovered from the i.e., solves for the optimal incentive scheme. Section 4 shows that the optimum can be implemented by a scheme that is linear realized cost and a quality in both Section sales data. 5 index that is computed from price and links variations in the quality concern and the slope Section (power) of incentive schemes. 6 discusses reputation incentives. It develops a model of an experience good in which a quality choice has permanent This model is one of moral hazard (unverif iable intertemporal choice quality. of information about future The observation of quality today reveals effects. quality). In many contrast, models reputation of in the industrial organization literature have assumed that the firm can be "born" a high- or low-quality producer, and can, at a cost masquerade as a high-quality producer if it is a low-quality producer. Appendix B stages a variant of the reputation models of Kreps-Wilson [1982], Milgrom-Roberts [1982] and Holmstrom [1982] in a regulatory context and obtains moral-hazard model. Section 7 results similar to those in the concludes the paper and suggests some desirable extensions Part A: 2. Search goods. The model . We consider a natural monopoly producing a single commodity in quantity q with observable but unverif iable quality/services model, we briefly discuss the methodology. s. We assume Before describing the that the firm's cost increases with output and with the level of services, decreases with the cost reducing activity e and depend on some privately known technological parameter j3; C - C(q,s,e,/?). On the demand side, we assume that the regulator does not perfectly know the demand curve; otherwise he would be able to infer the exact level of services provided by the firm from the price and output data; we thus posit an inverse demand function p - P(q,s,0). where P decreases with q and increases with and s, demand parameter which a is 8 known by the is Our model is thus one of two-dimensional moral hazard only. especially two-dimensional adverse selection (/? (e firm and s) and In order to obtain a and 6). closed form solution, we specialize it to linear cost and demand functions, which enable us to reduce the problem to a one-dimensional adverse selection one Quantity and quality are said to be gross complements if an increase in marginal willingness to pay: quality raises the consumers' „ . - ^- > . Quantity and quality are net complements if an increase in quality raises the net marginal willingness cost: marginal b 2, c) a ^ s g_ = —dsdq — pay, to 3(p-C - — ^ ds i.e., the difference between price and ) ^— > 0. As we will see, the effect of quality i j concerns on the power of incentive schemes depends on whether quantity and quality are net complements or net substitutes. Let us now describe the model in more detail. The (variable) cost function is C - (/3+s-e)q, (2.1) where fi in [/?,/?] is an intrinsic cost parameter known only to the firm and e is the firm's cost-reducing activity or effort and is also unobservable by the regulator. Note See Sappington theories of the regulation. that (2.1) assumes that the cost of providing quality and Laf font-Tirole for [1983] [1988] regulation of a multiproduct firm with is information-based and without cost The remark below shows that a relabelling of variables allows the monetary. cost of providing quality to be nonmonetary. The cost regulator. verifiable is C by and, accounting convention, the Similarly, we assume without loss of generality that the regulator receives directly the payment pq made by the consumers good, born by where p is the After paying C price. good's regulator pays a net transfer t to the exchange in for and receiving pq , the the firm (that will depend on observable and verifiable variables C,p,q). Letting V( e ) (with of effort, > 0, V" > 0, yj>' \j>"' denote the firm's disutility ^ 0) the firm's utility or rent is U - t-^(e). (2.2) Consumers observe the quality before purchasing the (search) good and derive from the consumption of the commodity a gross surplus: S g (q,s,0) (2.3) where A,B,h,k - (A+ks-hOq known are 2 - positive fq - I^Mi constants 2 , and 8 in [8,6] is a demand parameter. The inverse demand curve is then (2.4) p - p A+ks-htf-Bq. Quantity and quality are always gross complements in this model, and are net complements if k > 1 and net substitutes if k < The technical assumption optimal. i]>"' > 1. We will of course focus on ensures that stochastic mechanisms are not Note that S g differs from at q - 0. One can think of S g as a local approximation in the relevant range. Or one might allow services to affect consumers even in the absence of consumption. The reader should be aware that the Spencian comparison between the marginal willingnesses to pay for quality of the marginal and the average consumers under unregulated monopoly requires that S° be equal to zero at q — 0. parameters that put the problem in the relevant range ^ —> —> 0, ^ Q Let > 1+A 1 be cost social the public of funds. The consumers '/taxpayers' net surplus is: (2.5) S n (A+ks-h0)q 2 2 - - §q -pq- (1+A) (C-pq+t) (2.6) S Remark : n (A+ks-h0)q (ks ' hg) 2 - Suppose further that the firm exerts a second services Then the disutility of effort is V( e+S ) to consumers vividly that cost-reducing activities yj>' an :. increase per unit of output. s Letting e « e+s • becomes C - (/?+s-e)q and the disutility of effort is substitute . Suppose that the accounting cost is C — (/3-e)q, where e that provides s +A(A+ks-h0-Bq)q- (1+A) (C+t) our model covers the case of a nonmonetary cost the effort to reduce cost. of effort 2 - fq As mentioned above, of providing quality. type From (2.5) can be rewritten: (2.4), are . includes the taxes needed by the regulator to finance the firm. (2.5) is -Oi^Ml (e) V"( the accounting cost e) , This remark shows • and the provision of services (s) marginal disutility a utilitarian regulator maximizes the sum of in services raises the (e+s) of exerting effort to reduce cost. Under complete information , consumer and producer surpluses under the constraint that the firm be willing to participate: jw - (l+A)(A+ks-htf)q Max (2.7) { q s e . , ) - B(| + A)q (ks " hg) 2 2 - L -(l+A)((^+s-e)q+t)+t-^(e)j, s.t. g A is funds strictly positive because distortive taxes are used to raise public t-iKe) > 0, (2.8) where (2.8) normalizes the firm's reservation utility to be zero. program the enough, (2 ( . 7) , (2 . 8) concave is ) and its For B large (interior) maximum is characterized by the first-order conditions: (2.9) (l+A)p-ABq - (1+A) (/3+s-e) (2.10) (l+A)kq-k(ks-hfl) - (1+A)q (2.11) V'(e) - q (2.12) t - 4>(e). equates the marginal social utility of the commodity (composed of (2.9) the utility marginal marginal gain of to -r-(Apq) the its commodity marginal to consumers social cost S and ((1+A)C financial the Similarly, ). (2.10) equates the marginal social utility of service quality to its marginal social cost. (2.11) marginal utility equates the marginal disutility of effort \f>' (e) to its And (2.12) says that no rent is left to the firm. q. Equations (2.9) P" c i and (2.10) are most easily interpreted in the following forms (2.10' v f£f '3s ) (a number shadow cost r; ' h 2_ Bq --or price-marginal between optimal where + A |H q" - (1+A) j£. v ' 3s 5s The Lerner index the i ^ - TXT ^ 1+A T) p (2.9')' v level of and 1 -- is equal to a Ramsey index times) the inverse of the elasticity of demand. of services public cost ratio funds equates times the marginal cost of quality. 10 the marginal increase in gross surplus revenue to plus the And the social For the record, it is worth comparing the regulated level of quality with that chosen by an unregulated monopoly. linear are services, in either zero monopoly solution is the if quantity Spence in an [1975], Quality maximal or (if is an and quality are net complements. may monopolist unregulated "bang-bang." substitutes quantity and quality are net if upper bound on quality exists) As Because the cost and demand functions over- undersupply or quality for a given quantity. Optimal regulation under asymmetric information 3. We now assume that the regulator faces He knows neither information. nor 8 e and /J on p € F. and 8 [{),&] asymmetry of However, s. the regulator is Bayesian statistician who maximizes a The firm knows E [8,8]. and cannot observe 8 welfare and has a prior distribution F„ on a multidimensional Faced with this informational gap, he observes C, p and q. assumed to behave as fi . expected social and a prior distribution before contracting. The regulator knows that consumers equate their marginal utility of the commodity to the price, hence: p - A+ks-h0-Bq. (3.1) Using the observability of p and unobservable service quality level q, it is possible in the consumers' s to eliminate the gross valuation of the commodity which becomes: - |q 2 +pq S g (p,q) (3.2) - |(p-A+Bq) 2 . Similarly, the cost function becomes: C - (3.3) Note (/J that combination 7 * + (2 /? M ' -e)q + q and + -r-8 8 k ' p-A+Bq 8 enter . - This the cost function only feature which also holds 11 through the for firm's the linear and regulator's objective functions below) (see single -dimensional adverse-selection problem, closed-form solution. Consider now reduces model the and will enable us to to obtain a a 9 the firm's objective function (recalling our accounting convention that the regulator pays the cost and receives the revenue) U - (3.4) t-V-(e) - p-A+Bq t-V> _ k C qj From the revelation principle we can restrict the problem of control of the firm to the analysis of direct and truthful revelation mechanisms. For simplicity F(-)of 7 on [7,7] - we assume P + % B.p +£ the monotone hazard rate property: that » the cumulative distribution (the convolution of F, d(F(-v)/f (7)) —— —f- and F„) satisfies Appendix A.l derives > 0. sufficient conditions on the primitive distributions function F, and F„ for this to hold. The first- and second-order conditions of incentive compatibility are (see Appendix A. 2): E+Bq_ (3.5) V (3 .6) E±|3 where t dt/d7, etc... . gj < A more general formulation of the consumers' tastes would, lead to a truly two-dimensional adverse-selection problem. The qualitative results would be similar, but the technical analysis would be greatly complicated (See Laffpnt, Maskin and Rochet [1987], for example). This assumption avoids bunching without significant loss for the economics of the problem. 12 The social welfare function can be written (see (2.7)): 2 W - |q + (1+A)pq (3.7) The i(p-A+Bq) 2 - regulator maximizes 1+A) ( 7 -e) q+q ( p-A+Bq ( (3 . 5) , (3 . 6) ) +0(e))-AU. k expected social welfare conditions compatibility incentive the - function under the and individual the rationality constraint of the firm: U( 7 ) > (3.8) for any 7. The maximization program is, using U as a state variable, Max (3.9) s . 2 J j|q 2 +(l+A)pq- i(p-A+Bq) - (1+A) ( 7 -e)q+q p-A+Bq +y.(e) k •AUjdF( Ac 7 ) first-order incentive t. (3.10) U( 7 ) - -V-'(e) (3.11) e-1 < (3.12) U( 7 ) > 0. Equation (3.10) another is compatibility constraint (3.5). version Moreover, of the because U( 7 ) is decreasing, IR-constraint (3.8) reduces to the boundary condition (3.12). A. 2, (3.11) is a rewriting of the second-order condition (3.6). the From Appendix We ignore it in a first step and later check that it is indeed satisfied by the solution of the subconstrained program. For A and B large enough, the program is concave and the optimum is characterized by its first-order conditions A. 3). (see Appendix Let ^( 7 ) denote the Pontryagin multiplier associated with (3.10) and H the Hamiltonian associated with the program {(3.9), (3.10), From the (3.12)). Pontryagin principle, we have: 11 We implicitly assume here that it is worth producing for any 7 in 13 [ 7 7] , £<7) - (3.13) |5 - - A - From the transversality condition and (3.13) we derive: (3.14) - AF( 7 >. /,( 7 ) Maximizing the Hamiltonian with respect to q, p D e, we after some get algebraic manipulations: £^±B3 ABq - (1+A) 7 . e+ (3.15) (1+A)p (3.16) (l+A)kq-k(p-A+Bq) - (1+A)q (3.17) V'(e) - q Equations - - ^ ££$ and (3.15) w l4 (e). (3.16) which correspond to the maximizations with respect to q and p coincide with effort the e, about reminiscent of and quantity and quality price, information (2.9) technology the (although are demand and implied by) not (2.10). the That same as parameter. the for is, under given complete result This incentives -pricing result for multiproduct firms obtained in Laffont-Tirole [1988], a is dichotomy Appendix A. derives a more general class of cost functions for which the dichotomy holds in this quality problem. To extract part of the firm's rent, a given output level Appendix A. p(7) > 0, q(f) (compare (3.17) and (2.11)), except when shows 3 < the effort is distorted downward for that and e(7) for < the solution to ((3.15), 7-7. (3.16), (3.17)), In particular the neglected second-order 0. condition for the firm (l-e(7) > 0) is satisfied. Next we compare information about ft and the levels of quality 6: 14 under complete and incomplete Proposition of quality level The 1: is lower under incomplete information if and only than under complete information quantity and if quality are net complements. Proof See Appendix A. 5. : information makes Incomplete rent extraction difficult and power of incentive schemes, i.e., leads to a decrease in effort. and cost marginal reduces output. If quantity reduces This raises quality and the net are complements, lower services are desirable; and conversely for net substitutes. Note that asymmetric information lowers quality exactly when the unregulated monopolist oversupplies quality. To conclude this section, for a search good sales quality in the same way cost is an indicator of effort an indicator are (and quality) of The . regulation of quality and effort under asymmetric information is therefore in the spirit of the regulation of a multi-product firm (see Laffont-Tirole [1988]). 4. Implementation of the optimal regulatory mechanism For each announcement of the firm's consumers' achieve, technological parameter and of the the regulator imposes taste parameter, . a quantity to produce and a market price a level of average cost to to charge. An appropriate net transfer t(7) is offered to induce truthful behavior. This Then, (4.1) transfer can be reinterpreted as v follows. Let z "— q - •"- — -, -**. k the first-order incentive compatibility condition is (see Appendix A. 2): g+^ (7 . z) g_ o or 15 dt dz (4.2) (7-z) < -i/>' Differentiating (4.2) we obtain: 2 d t (4.3) -V>"(7-z) d^ 1 kd 7 dz > From the second-order condition -j— d7 ^ > — dz^ r\ A. 3. Therefore and 1 dz ds — -j— < d7 -j— - d7 from Appendix rr t" 0, the transfer as a function of z is a convex and i.e., decreasing function (see Figure 1) FIGURE As in Laffont and Tirole HERE. 1 the convex non- linear transfer function [1986], t(z) can be replaced by a menu of linear contracts t(z, 7 ) - a(7)+b(7)(z( 7 )-z), where z(7) is announced value the ex-post value. of — - —— -^- ; and -*-^- z is the observed The transfer is therefore a function of a performance index which subtracts from the realized average cost an approximation of the service quality inferred from market data. In other words, the firm is offered a choice in a menu of linear contracts and is rewarded or penalized according to deviations from an index aggregating data cost and service quality data inferred by the observation of the market price and quantity and the a priori knowledge on the demand function. The coefficient b(7) sharing the overrun v i>' (e (7)) where e (7) is the in the performance index is solution of the regulator's optimization program. Indeed, * .-. Max -ja( 7 )+V>'(e (7) ) (z( 7 ) -7+e) 3X <c -j>(e) } Ie,7) implies \p' (e (7)) - V' ( e) an d therefore 16 e - e (7) and a(7)+^"e (7)(z(7)-z) <^\s t-ljJ (Y~z) = constant /N ^/l— t-^(y-z) - constant "> FIGURE 16A 1 +}/>' (e (j))z(-y) - 0. If a(«) (7))z(7) - any for 7-7. then 7 or a(7) - t(7), is chosen so that a(7)+V>' (e Alternatively, the menu of linear contracts can be decomposed into a * linear sharing of total costs overruns with a coefficient sharing and a linear coefficient b„(7> - t V' overruns of e ( in service the quality ™ Ce - —— (y) v ' q (7) i/>' — b, (7) index ' with a (7)) or - a( 7 ) + b (7)(C(7)-C)+b ( 7 ) 2 1 p(7)+Bq( 7 ) k p+Bq k Since the firm is risk neutral we see that our analysis extends immediately to the case in which random additive disturbances affect total inverse demand function Proposition and C the P. implemented be The optimal regulatory scheme can 2. cost menu of contracts that are linear in realized cost through a and a in quality index equal to sales corrected by the price level: t Clearly, - S- bl C +b -^9Li 2 parameters the schemes, b, (7) - 7 , . characterizing the power of the and b„(7) - q(7)b, (7), are related. comparative statics of these coefficients with respect to a incentive If we study the parameter x we have d_ dx From f(e> - ip r (e) xM r Mx q q - ^ f ^(e), W ^ $T ' % + - tf x and d_ V»'(e) dx The comparative -^xTTxl W' statics of 2 -*'*'") b„(7) 17 - Tp' (e (7)) is the same as the comparative statics of as long as i/>"' *- e (7) not to ° s and the comparative statics of b. (7) is identical l ar E e which we will assume in Section > 5 (of course, no such assumption is needed if one studies the slope of the incentive schemes respect with to marginal cost) that Note . and b„ b. then positively are correlated over the sample of types. Concern for quality and the power of incentive schemes 5. This section studies effects the of increase an . in the consumers' marginal surplus from quality (3S°/3s) and of an increase in the marginal cost of supplying quality (dC/ds) on the power of incentive schemes. analysis of information, the level these effects, in particular the of quality or by must change the not where does not affect £, , < and The (their proofs are provided gross surplus S^ is replaced by S^ - > £, „ the is (1/ 12 . a parameter indexing (3.15) and (3.16) respectively. the The first-order conditions (3.15) to s. fgff are unchanged except that <^— B the Note that a change in v inverse demand curve and therefore does not change information revealed by q and p about 1+A~) - —j— ~\ V (dt and <^— ~C\ r-> must be added to Differentiating (3.15) to (3.17) totally with respect to v yields: 12 of : marginal gross surplus with respect to quality) (3.17) structure cost-reducing effort. data about cost the Suppose first that the consumers' S^+£(ks-h# ,v) the Information revealed by the demand data about three changes we consider yield identical results in Appendix A6) affect For a clean Subscripts here denote partial derivatives, 18 Proposition 3: An increase in the concern for quality (in the sense of an increase in raises u) power the incentive of schemes if quantity and quality are net complements and lowers the power of incentive schemes if they are net substitutes. in the marginal Next let us consider an increase keep the structure of information constant, into C m C+m(ks-h0 p) where m, , to an increase in because unchanged verifiable) , > and m. marginal cost. term ks-h# the The „ we To transform the cost function (an increase in p corresponds > structure equal is cost of quality. to of information p-A+Bq and is is kept therefore . Propos i tion 4: An increase in the marginal cost of supplying quality (in the sense an of increase in p) lowers the power of incentive schemes if quantity and quality are net complements and raises the power of incentive schemes if they are net substitutes. let us consider an increase in k keeping Last, keeping r- r- constant. The point of constant is to leave the asymmetry of information unaffected: facing demand parameter by choosing services s 8 , the firm can claim that the demand parameter is f satisfying ks-h0 through the demand data p and q. Proposition 5,: When An increase — ks(#)-h# without being detected Thus the "concealment set" is invariant. in k keeping h/k constant raises the power of incentive schemes if quantity and quality are net complements and lowers the power of substitutes 19 incentive schemes if they are not Proposition admits several interpretations. 5 First, an increase corresponds to an increase in the marginal willingness to pay for the if and only if k > 1. from (3.16). To see this, note that 3p/5k - Proposition 5 thus willingness to pay for the good tilt the price contract for all k. that says optimal increases 5S as 5 sS 3k3s h f3 toward incentive schemes. fixed a — sign 1-2(1+A) J k-1 .(using (3.16)). constant'' shows that an increase in the the p marginal the marginal valuation marginal For k > 1, valuation quality for has an ambiguous effect on the power of incentive schemes: an increase in good 13 i Proposition k (1+A) (k-l)q/k in contracts 2 sign Second, - ks-h0 in For k < 1, quality lowers the power of but "not too large," it raises the power of for incentive schemes. The intuitions for all these propositions are similar. An increase in the concern for quality (or a decrease in the marginal cost of supplying quality) makes higher quality socially desirable. If quality and quantity are net complements, higher quantity is also socially more desirable. Effort becomes then more effective since it affects more units of the product. To encourage effort more powerful incentive schemes are used. Part B. 6. Experience goods . Reputation incentives . In some industries the sales incentive is limited quantity purchased is fixed or inelastic, e.g., because it because is an either the experience good or the buyer is the regulator himself, as in the case in procurement, both. Suppose that the buyer (regulator) buys a fixed amount from 13 the This result is similar to the one obtained when unverifiable quality an issue (see our [1986] paper). 20 or firm. is not The firm's incentive main provide to quality is then threat the of jeopardizing future trading opportunities with the buyer rather than current In general ones. quality and future has supplied First, sales. punishing the agent, that link current develop This past. mechanism reputation a for when the latter by not trading with him, the in buyer may the instance, for quality low can think of two mechanisms one terms, likely is to be particularly powerful when the buyer oversees many agents and thus has a good opportunity develop to such reputation. a industrial organization tradition, profitability of future the buyer may infer from trade the and Second, closer to the information about the observation of current quality. We will focus on this second mechanism. industrial organization literature has The reasons why a buyer may find future quality. On the one hand, may have permanent identified two trade undesirable after observing poor the quality of the product supplied by the seller characteristics; that is, the seller commits investments that affect the quality level over several periods. hand, long-term On the other intertemporal link may be human capital rather than technological the investment. today's informational The choice of seller then quality signals and conveys his competence information or about diligence tomorrow's through future quality even though he will manufacture a possibly brand-new product using new In this section, we focus on a permanent and unverifiable choice of machines. Appendix B technology. quality producer. The develops a model of reputation two models yield similar results. for being a high We will emphasize the new insights added by the new model in the Appendix. For the seller to care about future trade, trade creates a rent. of rents (due, necessity for for the it must be the case that this This rent can be an informational rent, but other types instance, buyer to to bargaining power of the seller, or to "efficiency scheme to create offer an incentives) are consistent with the model. 21 wage" the The model has two periods, - 1,2. r In period seller (regulated the 1, firm) produces one unit of the good for the buyer (regulator), (6.1) - ^-e-j+s, Cj_ where is C, the first-period, verifiable cost, an efficiency parameter, /9, the firm's effort to reduce the first-period cost, As in the sales incentive model of Sections monetary cost, The variables /?, , and e, s the monotone and through 2 ^(e^ it(s) formalized as a is s 5, (with > 0, V" > \i' r d property rate" 0. the regulator with density f (/3. on [p.,fi. F(/3..) dfi involves disutility the level of "care." s are private information to the firm; "hazard c . > ., t(P^) 1 that ) F(^)1 V Effort 0. e, 1 With probability ^ 0). the product "works" and yields a gross social surplus e [0,1], e.. interpreted as a non-monetary cost. but can alternatively be has a prior cumulative distribution satisfies at cost: S. ; with probability (1-tt(s)), the product is defective and yields gross social surplus We 0. will respectively. to say that We assume that avoid a corner produces firm the > it' solution at 0, - s it" < 0; and 0) a high as well as it"' < not verifiable by a court that so the (0) item - +» (in order a is sufficient Whether the product condition for the regulator's program to be concave). is it' (which works or is defective is observed at the end of period quality low or 1 regulatory by the regulator, but contract cannot be contingent on the quality outcome. Parties have a discount factor the simplest model, we assume between the two periods. > S that the second-period firm's To obtain product defective if and only if the first-period product is defective (that is, first- and second-period quality outcomes both are first-period level of care and are perfectly correlated. what matters for the results that is expected quality level in period 2) won't be asked to produce in period 2 a higher s in determined the the As is easily seen, period Our assumption implies . by is 1 raises that the the firm if its product is defective in period 1; 22 in this case, the second-period social welfare and firm's rent are normalized denote the second-period expected rent for and W„ > Let £L > to be zero. the firm and expected social welfare. W„ are independent of Let e, {s (/?.), and U, functions, with type /9, /?, (/?, ) 14 For simplicity, we assume that U and ? . denote the firm's first-period care and effort levels ) denote the firm's first-period rent. (/?, ) Note that a firm can always duplicate the cost and probability of high quality of a firm with type (/9,-d/L) by choosing levels {s(/L -d/9..) , e.. (/9.-d;9.. ) } so that the incentive compatibility constraint for effort is: U (^ ) - -V'(e (^ )). 1 1 1 1 (6.2) Next consider level of care by by At 1. the firm's the choice To reach the same cost, 1. such margin, Suppose of care. changes it raises the the firm must increase its effort not do that affect the firm's The rent. incentive compatibility constraint with respect to effort is thus: Sn' (s)U (6.3) 2 -V>' (e L ) - 0. suppose that the firm cannot produce in period Next, (and thus invested) 2 if it hasn't produced The individual rationality constraint says in period 1. that the firm must obtain at least its reservation utility, which we normalize 14 To give an example: the firm produces one unit of the same suppose that (a) good or a related good in period 2 at cost C~ - /3 ? -e„, where ^„e[^„,^„] second-period efficiency parameter, is uncorrelated with the firm only) between the two periods (/3„ and is learned (by might reflect the new input costs); the second-period gross surplus is equal to S„ (b) /?, is the (possibly equal to S.. ) if the firm has produced a high quality item in period 1, and zero otherwise; and (c) the regulator offers the second-period contract at the beginning of period 2 (no commitment). In this simple example, U„ and W_ are computed as in Laffont-Tirole to ~{}j , [1986]. Furthermore, lL is independent of S„. 23 if S« is sufficiently large relative at zero: for all @* (6.4) U (^ )+5U tt(s(^ )) > 0. 2 1 1 1 As usual, is i only: individual rationality constraint binding is at /L - j}. 15 U (^ )+5U 7r(s(^ )) 1 2 1 1 (6.5) Note the : type that rent first-period "buys /L for in"; an 0. that expected is, he is willing second-period trade to a negative Expected rent. social welfare can then be written: ± (6.6) [ | 7 r(s)(S +5W )-(l+A)(^ -e +s+V (e ))-AU (^ )]f(^ )d^ 1 2 1 1 1 1 1 1 1 ) The regulator maximizes and u(/L )f (/9, respectively. H- (6.7) ) denote (6.6) the subject to (6.2), multipliers (6.3), and (6.5). constraints of . (6.2) Let and /*(/?-,) (6.3) The Hamiltonian is: [7r(s)(S +5w )-(l+A)(^ -e +s+V-(e ))-AU 1 2 1 1 1 1 ]f-^' (e 1 ) +i/f[$7r'(s)U -^'(e )]. 2 1 1 We have: Be3cause /9, is a free boundary and F(/?, ) Indeed it can be checked ex post that - 0, we thus obtain -7-5— < 0. Such "buy in" phenomena are typical of non-commitment models, in which firms trade off current losses and future rents. See, e.g., Riordan-Sappington [1988]. 24 /i(^) - AF(^ (6.9) L ). Taking the derivatives of H with respect to the control variables e, and s yields (6.10) r (6.11) tt' we will As - (V i - f(^y ^(^) ITA (s)(S +6W )-(l+A)+^57r"(s)U see in proof the of TTA next the conditions for maximization are satisfied. is thus given by (6.10), (6.3), and ^"< e l> - 0. 2 2 1 " proposition, The solution (6.11). second-order the (/L (e.. We now derive ) , s(/L ) ,^(^-, ) comparative the statics results using the interpretation of the optimal incentive scheme as a menu of linear contracts (see Appendix A. 7). Proposition 6.: contract tends toward a cost-plus contract incentive scheme decreases for all a) the discount factor b) (if 5w 2 -5-pr- 5 : /3. ) (the slope of the when decreases; au > 2 and -^— - See footnote 14 for an example) 0. the social value of quality S. Proof The first-period Optimal cost reimbursement rules are linear. increases. See Appendix A. 8. Thus, low-powered illustrates when quality becomes very incentive scheme to important, supply the crowding- out effect, more the care firm must be (result b)). given a This according to which care and effort are substitutes, so that the production of more quality is obtained at the expense of cost-reducing activities. result Last, 25 a) formalizes the reputation Far-sighted firms can be given high-powered incentive schemes. argument. 7 Concluding remarks . . We have analyzed the circumstances under which quality concerns call for low-powered schemes. incentive For experience an good, lack the of informational value of the current sale indicator makes the cost reimbursement rule the only instrument achieve to conflicting goals the We have also argued that steeper incentive schemes optimal if the supplier is sufficiently eager to preserve his reputation. a there search good, can be provided. on the power low-powered of is no "crowding-out effect" There is, however, incentive incentive of A high concern for quality leads to low-powered quality and cost reduction. incentive schemes. of provision schemes; schemes if a new, a direct sales For incentives "scale effect" of quality concern high and only as are if concern for quality quantity and quality leads are to net substitutes The paper has considered the important polar cases of a search good with scale effects (in which a higher output makes cost reduction more valuable) and of an experience good without scale effect (for which ouput was taken as given) . Understanding the crowding-out and the scale effects makes it easy to extend the theory to cover the other two polar cases. Consider first a search good and assume that the cost-reducing activity affects the fixed cost rather than the marginal cost: output changes, 18 C — cq+/?-e+s. 17 When quality becomes more desirable, but the optimal effort is unaffected. Because direct sales incentives can be given and because there is no scale effect, the power of This technology is chosen so as to keep the adverse selection one -dimensional and as to yield a closed- form solution. The analysis, which follows the lines of Section 3 is left to the reader. 18 For the above cost function, output increases, complements as long as they are gross complements. 26 as the goods are net incentive schemes is independent of the demand for quality. an experience good with variable scale such that a) Second, consider a higher quality raises effort reduces the marginal the demand for the good and b) such a good, higher valuation for quality raises demand for the good and a the creates a scale effect that may offset the crowding-out effect. Effort reduces marginal cost Search Good Experience Good + is q and s net complements Ambiguous Thus we have: — if q and s net substitutes Effort reduces fixed cost Table For cost. - Effect of an increase in the demand for quality on the power of incentive schemes 1: We should also note that scale effects can take other forms than the one obtained in this paper. If the two moral hazard variables 2 the cost function (3 C/3s3e * 0) , s and e interact in an increase in the demand for quality has a direct effect on effort, not only an indirect one through the complementarity or substitutability of quality and output. a is good working hypothesis, one While ruling out this interaction can think of situations in which effort produces a new technology that reduces the marginal cost of providing services 2 (3 C/dsde < 0) effect, that . We conjecture that in such situations, leads to high-powered incentive schemes there is a new scale when the demand for quality is high. Our theory may regulatory also hierarchies, shed for light some instance objectives than maximizing welfare. ones on in the which For instance, 27 behavior of more regulators complex have other suppose that the regulator derives perks from the supplier's delivering high-quality products. the regulator values quality more than the public at large. will then lobby in favor of low-powered incentive schemes experience Defense good. officials Our theory who value thus offers quality a highly fixed-price contracts into cost-plus contracts. Last, the distinction between clue as sometimes to if That is, The the why manage regulator good is an Department to of transform 19 verifiable and unverifiable quality is extreme. More generally one would want to allow quality to be verifiable at a cost. monitor It would be worthwhile to analyze the relationship between expenses quality, quality and reputation concerns and power of to incentive schemes See also Scherer [1964, pp. 33-34 and 236-239]. DoD officials are well-known favor performance over cost. They often feel that fixed-price contracts encourage contractors to make "uneconomic" reliability tradeoffs and make them reluctant to make design improvements. to 28 REFERENCES S. and L. White "Monopoly and Quality Donnenfeld, D., [1987] Besanko, Effects and Remedies," Quarterly Journal of Economics, 102, Distortion: 743-768. Guesnerie, R. and J. -J. Laffont [1986] "A Complete Solution to a Class of Principal-Agent Problems with an Application to the Control of a Self-Managed Firm," Journal of Public Economics 25, 329-369. , A Dynamic Perspective," Holmstrom, B. [1982] "Managerial Incentive Problems: in Essays in Economics and Management in Honor of Lars Wahlbeck Swedish School of Economics. Helsinki: Rose "The Effects of Economic and N. P. [1987] Schmalensee and R. Willig (eds.), forthcoming in R. Industrial Organization Joskow, Kahn, A. [1988] Cambridge: Kreps The Economics of Regulation: MIT Press. Regulation," Handbook of Principles and Institutions D. and R. Wilson [1982] "Reputation and Imperfect Information," Journal of Economic Theory, 27, 253-279. , Laffont, J. -J. [1987] "Optimal Taxation of a Non Linear Pricing Monopolist," Journal of Public Economics 33, 137-155. , Laffont, J. -J., E. Maskin and J.-C. Rochet [1987] "Optimal Non Linear Pricing with Two -Dimensional Characteristics," Chapter 8 of T. Groves, R. Radner Incentives and Economic Mechanisms, and S. Reiter (eds.), Information University of Minnesota Press. , Laffont, J. -J. and J. Tirole [1986] "Using Cost Observation Firms," Journal of Political Economy, 94, 614-641. to Regulate Laffont, J. -J. and J. Tirole [1988] "The Regulation of Multiproduct Firms, Theory," forthcoming, Journal of Public Economics. I: Lewis, T. and D. Sappington [1988a] "Monitoring Quality Provision in Regulated Markets," Discussion Paper, U.C. Davis and Bellcore. Lewis, T. and D. Sappington [1988b] "Regulating a Demand," American Economic Review, 78, 986-998. Monopolist with Unknown Milgrom, and J. P. Roberts "Predation, Reputation [1982] Deterrence," Journal of Economic Theory, 27, 280-312. Riordan, M. and D. Sappington Journal of Economics [1988] "Second M. and S. Rosen [1978] "Monopoly Economic Theory, 23, 301-317. Mussa, and Sourcing," Product and forthcoming Quality," Entry Rand Journal of Sappington, D. [1983] "Optimal Regulation of a Multiproduct Monopoly with Unknown Technological Capabilities," Bell Journal of Economics, 14, 453-463. 29 Scherer, F. [1964] The Weapons Acquisition Process: Economic Incentives Graduate School of Business Administration, Harvard University. Spence, A.M. Tirole, J. Press Quality "Monopoly, 417-429. [1975] Economics , 6, [1988] The Theory Vickers, J. and G. Yarrow Cambridge: MIT Press. of [1988] and Industrial Regulation," Organization, Privatization: 30 An Bell Journal Cambridge: Economic of MIT Analysis APPENDIX A.l. Let 7 - ft + v-6 and assume for notational simplicity that h - reasonable in this problem to assume that the distributions of p and and F^ ( • ) It k. is F, 8, ( • Then are independent. .+» F(7) ^ Prob(7 < 7) - -1 -J f( 7 ) - f (6)f 2 J 1 Prob(0 < 1 < 0+d0)Prob(/9 < 7-0) I -00 f (B)? (-r-e)dB, - CO 2 l (T6)d6, and £ {6)F J d_ F( 7 ) d7 f(7) - 2 1 . l /3 is uniformly distributed) , F(7) f(7) £ (6)£' (T6)d8 2 1 .2 f (B)f J2 uniformly -r- J +00 J In particular, if 1 -B)dO ( 1 -B)dB) l ( distributed 1 > (or, symmetry by , is 0. More generally, if one of the densities is non increasing 0) if (fC < or f'„ < F(') satisfies the monotone hazard-rate condition. APPENDIX A. 2. v The firm is faced with the revelation mechanism t(7) 'C" , p(7) For simplicity we assume that the mechanism is differentiable and Laffont [1984] for a proof of this). q(7) (see , X (7) Guesnerie The firm chooses the announcement which maximizes its objective function, i.e., solves: 31 , 7 (A2.1) Max{t(7)-^(7 + *&+&*& jjtf))} - 7 <-> Max|t(7)-V'(7-z( r))}, : 7 where C,~. ,~v z(7) m -(7) - p(7)-A+Bq(7) r £ a • The first-order condition of incentive compatibility is: (A2.2) t( 7 )+V-' (7-z(7))z(7) - 0, and the second-order condition is (A2.3) z( 7 ) > 0. (A2.2) and (A2.3) constitute necessary and sufficient conditions for incentive compatibility (see Guesnerie-Laffont [1984]). Note that z(y) — 7-e(7) (A2.4) So the second-order condition can be rewritten: . 4-1 < 0. APPENDIX A. 3. The regulator maximizes H with respect to {q,p,e}. The matrix second-derivatives of H with respect to these variables is (divided by f ) B-B (1+A) 2( 1+A)B 2 k - B - (1+A) (1 + A)-B - Ugl 1+A -1 d+A)r 1+A 32 AF\A"' of [This matrix differs from the Jacobian of equations (3.15) through that (3.16) was used to obtain equation (3.15).] (3.17) For the sub-matrix in in (q,p) to be semi-definite negative it must be the case that (A3.1) B > 1 - 2(1 A) ^ and (A3. 2) B(1+2A) > (1+A) : The determinant is: A - -(l+A)qA +(l+A)' 1 wh ere A, is the determinant of the submatrix in (q,p). A < Or: <-> qA, > 1+A. Solving (3.15) and (3.16), we get: A q - (l+A)(A-( 7 -e))„ x To sum up, sufficient conditions for the second-order conditions to be satisfied are: A > 7+1 B > Max^l Max/l - 2(1+A) k < , 1+A > 1+2A : 1 - ) Moreover, the solution obtained in Section incentive constraint e < satisfied is 1 by 3 is the valid if the second-order solution first-order equations. Differentiating (3.15), (A3. 3;) -fA + (3.16) and (3.17), we obtain: H±A>l Bq+(1+A) 1 - jMp + (1+A)e - 1+A 33 of the above (A3. A) ((l+A)(k-l)-Bk)q-kp - (A3. 5) q - V-"(e) + A F( 7 ) 1+A f(7) \i'"(e) TT\* (e) fF(7)1 d^ f(7) Hence, P - (1+A)(k-1)-Bk (1+A) ^"< e > + + TTxIW)*'" (e) F(7) ] f(7)J T^" (e) ^ where A is the determinant of the system which is negative since we are maximum. Since V" > if B > 1, which, implies that (A3. 5). 8S g ^ 0, V>'" > and >0,p>0 d 7 |p^-j is automatically satisfied in kq(l-(l+A)(l In that case, - ?-) ) > 0. the for relevant From (A3. A), q < the second-order condition of range: and incentive a ^ 1+A)(k-1) > B at e (3.16) < from compatibility is satisfied. Appendix A. 4. The dichotomy result between optimal incentive schemes obtained in Section 3 pricing and quality and optimal can be generalized as follows: Let C(/3,e,q,s) denote a general cost function and let obtained by inverting the demand function q - s — £(0,q,p) be D(p,s,0). The derived cost function is: C(0,0,e,q,p) - C(^e,q,aJ,q,p)). Let e - E(/?, ,C,q,p) be the solution of C(£,0,e,q,p) - C. The problem is here genuinely two-dimensional. constraints can be written: 34 The first-order incentive U^ - -V'(e)E^, > V - where subscripts denote partial derivatives. A sufficient condition for the dichotomy result is 8 «g 2& 3q dp h B " dq 20 d l± n dp which requires (from Leontieff's theorem) that exists there A(',«). r(',«) such that C - C(A(£,e),r(0,e),p,q), a special case of which is C - C($(j3,0,e),p,q). In our example, we have $(fi,8,e) — Appendix A. fi + t— - e. 5. Since the equations defining quality and price are complete information (dichotomy result) the comparison incomplete information can be easily obtained information gives a lower level of effort 20 by same the between observing conditionally under complete that on as the and incomplete level of the derivatives of the Hamiltonian with respect to associated with the incentive constraints and therefore with asymmetric information. If these conditions hold, terms p and q involve no 35 This decrease production (equation (3.17)). (3.15) and (3.16) to a decrease of q of effort (reinforcing initial the decrease effort which is therefore an unconditional itself of leads, from decrease effort) and decrease in to of an increase in p. For any 7 let us call (de) infinitesimal an effort. Differentiating (3.15) and (3.16) yields: kS§ - & B^ de + - (1+A) 1 - 11 de* The conclusion follows from the fact that e and q are lower under incomplete information from the first- and second-order conditions. Appendix A. 6 Proof of Propositions 3., 4, and 5. We offer a single proof to the three for the shadow price of (3.10) (A6.1) 2 H - |q +(l+A)pq (1+A) A Letting A < |V ( - 7 -e)q+q propositions. (see (3.14)), After substituting the Hamiltonian becomes: i(p-A+Bq) 2 +t (p-A+Bq , 1/) p-A+Bq +m(p-A+Bq,p)+V'(e) k (e) denote the determinant of control variables (q,p,e), we have 36 the Jacobian with respect to the 2 31 a 5q (A6.2) |- 2 2 2 h 3q3p 1 a A 3q3p h aqax 2 ai 2 31 1 a 3p3x 2 a 3p 2 2 a 2 h a 2 31 h 3e3p a 3eaq dedx for x - v, p, k. 2 2 — 2 =—g- But = ^— - x(1+A), ' 3e3q aea\ (A6.3) 3 and de dx sign sign H dedx ' — for x - v 2 31 2 31 3q3p 3q3x 2 31 2 31 , p, k. Hence, 3p3x 3p The propositions follow from: o |_H_- (1+A) |\ . lj-B(l +mn (l + A)-£ 11 ) 2 ^-| - -(l+m 11 (l+A)-£ 3p Q ) 2 2 _ R» 3q3i/ 31 3q3k n 12 1+A - "2 „ 3JH_ _ a 3p3»/ (p- A+2B q) k [To obtain Proposition 5, 2 2 Z . 3JH_ _ ' 3q3/> a ; cm " h spin; - 12 _ D 3 H , 3p3p* i+A -£*- use (3.16) to substitute (p-A+Bq)] 37 Appendix A. The linearity of contracts. 7: From Laf font-Tirole [1986] we know that we can decentralize a contract with a menu of linear contracts if transfer the t(C,) non- linear is convex. From the first-order conditions of incentive compatibility dc i 1 / N + *,, (e } i dX- hidt a* dC. > with from second-order incentive compatibility conditions. 2 dt - -V (ep d t and 1 ,„• dC, 1 dC Hence -d/L t(C, ) is convex iff e, < 0. Differentiating first-order the conditions we get: 2 - : 1- FC/^) ^l> "^"V ITA^d^f(^) - < APPENDIX F( d A ( (S-j+fii^) (n"+vSn"' U 2 ) 2 (1+A)V>"+A j^j V"'+^"' (V>")' 0. A. 8. Proof of Proposition 6: Differentiating (6.10), yields (A8.1) )" (^7r"U V>"+ A F _v_ 1+A f" 1+A V" A de l - " V TTA 38 A du - (6.11), and (6.3) totally 3W (A8.2) 7r"(S 1 + (A8.3) +5W )+i/5U 2 [i/7r"U V»"de 2 ds + tt'+ 7r"' 2 -, 2 6 as7 dS. ]d$+67r"iLdi/ - 0. +7r'W - (7r'U )dS+(SU 7r")ds. 1 2 2 Substituting: C« ~\ 3e (A8.4) sign (A8.5) sign aw, sign as. n' +8 < o asT 3e, - sign(-7r"7r' U-S.-fi^w'" 35 using (6.11), V"' — assumptions V"' — — 0- an<3 f"' aR d it" tt' +6U 2 (7r") 2 ") > 0, it is easily Furthermore, seen that the guarantee that the second-order conditions are ^ satisfied. § Appendix § § Quality, asymmetric information and reputation. B: We consider a two-period model in which the firm is, with probability a high-quality producer, i.e., generates a social surplus With probability 1-x it is a low-quality producer, i.e., when S x, producing. generates a social the social To avoid signaling issues which would complicate the analysis, we assume T surplus S surplus is JJ < S S . , unless it puts some effort s > 0, in which that the firm does not know in period 1 if it is producer. Holmstrom (Thus the model is closer to a high case or a [1982] 's low-quality than to Kreps-Wilson [1982]'s and Milgrom-Roberts [1982]'s)„ Moreover, quality cannot be contracted upon. production At the end of period regulator discovers the quality level. 39 1, if occurs, the the firm has a cost function In period 1, where /?, known is and to C. observed the firm is putting the extra effort Let regulator, s The regulator cannot commit for period e fi~ [P,fi] and e, - In period a is e.. when e+s to make sure that first-period be the transfer given to the firm in period t, cost parameter the Total effort for the firm is e. - e or cost-reducing effort. is high. by quality 1. the firm has a with a (common knowledge) distribution F(«) and a 2. 2 cost function: C /?„ 2 - P -e 2 2 . will be learned by the firm at the beginning of date 2. Therefore at that time we will be in a one-period adverse-selection problem (Laffont-Tirole [1986]). For any expected social surplus S in period 2, second-period welfare is: a W*(S) - {s-(l+A)(V-(e*(^ ))+ 9 -e*(^ ))-AU*(^ )|dF(^ ) 2 2 2 2 2 / J where (according to Laffont-Tirole [1986]) *-C*0» 2 » -l - ITX^ *"<*>>>> h U*(/3 Let t , C 2 ) - , U - J V'(e*(? 2 ))d£ 2 . be the expected transfer, cost and rent in this second-period mechanism. To limit the analysis to the most interesting cases, we postulate 40 optimal Assumption 1: If S - xS H +(l-x)S L If S - Assumption is 1 S , W*(S) > for any F(-) on [§,J3] , W*(S) < for any F(«) on [/3,/9] L means that for an expected quality defined by the prior, worth realizing the project. However, if the firm is known it be to a low-quality firm, it is not worth doing it, even if attention is restricted to the best types (close to /?) . Assumption 1 requires that not (.fi-fi) be "too large. r, Assumption 2: Assumption ,„H „L. <. (l-g)(l-x) - (S -S ). y-7-r s 2 means that the extra effort needed to upgrade quality is not H I too high compared to the social gain (S -S ). Without this assumption, it is never optimal to induce upgrading of quality in the first period. Two policies must be considered. policy B, s is In policy A, s is not induced, and in induced (inducing randomization by the firm is never optimal). Policy A: Social welfare is H L H W - xS +(l-x)S -(l+A)(^ -e +t )+5x(S -(l+A)(t*+C*))+U, 1 1 1 where U is the firm's intertemporal rent, and we use the fact that in period 2 the regulator knows whether he is facing a high-quality firm. Social welfare must be maximized under the individual rationality (IR) and incentive compatibility (IC) constraints. If the firm does not produce in period and the firm can expect a rent U 1, in period 2. takes the form 41 the regulator learns nothing Accordingly, the IR-constraint (IR t^fie^+SxV A) > 6U The IC constraint Is (IC t A) 1 -V'(e 1 In regime I, tj>' t (e, - V'(e x U - 5U (IC 1 1 where $(e 1 1 or e, - e )+5(l-x)U ^ ) or5< > 5(l-x)U ) (l-x)U S de > W > W , Policy B: 1 11 -V'( e ) < 6,, is binding, (IC.) and e(S) > e W V>(e+s) *» . 5(e(«)) - 5(l-x)U -?? +s)+5U . In regime II, W -V'(e can be rewritten with $(e) ) $(e with 1 is not binding and therefore (IC.) - ) > t )+5xU * . and effort is defined by , Welfare is then - xS H +(l-x)S L -(l+A)(/3 -e*+V(e*))+5xW*(S H )-A(l-x)5u" 1 H L H - xS +(l-x)S -(l+A)(/9 -e*(5)+V'(e*(5)))+5xW*(S )-A(l-x)5U*. 1 but regime I is not feasible for 6 > 5, . Social welfare is now: W - ,H i S '-(l+A)(^ -(e -s)+t )+5 1 1 1 S 42 H - H L (1-x) (S -S ) - (1+A) (t*+C*) +U with the constraints (IR ) t -V>(e )+5U* 1 1 ) t fi (IC fi -V'(e 1 1 ) > £U* > + 5U In regime III, (IC t ) 1 -V'(e 1 -s)+5xU . is not binding, and e^ - e * , - V>(e,). t, fi Regime III prevails as long as 5( e;L -s) - V(e 1 )-V'(e 1 -s) < £(l-x)U* or > 5„ with S If < 5„, 6 > 5„. 5, (IC R) is binding and is defined by e.. 5(e -s) - 6(l-x)U* 1 or - e(S)+s with s+e(S) < e e (regime IV). 1 For < 6 6 defined by — e(5), it is not possible to induce quality. s Welfares are W 111 « W TV xv - S S H H 1 H n * 1 FIGURE 1: W > W H L )) H n -(l+A)(^ -e(5)+V'(e(5)+s))+5(W (S )-(l-x)(S -S Effort levels are summarized in Figure Lemma H -(l+A)(^ -e*+s+V»(e*))+5(W*(S )-(l-x)(S -S 2 , 43 2; HERE T L )) II III /f-K^e(6)+s ' Iv i -> 6 6. FIGURE 43A 2 Proof : W 111 ^ L - (l-fi)(l-x)(S H -S )-(l+A)s 1 + (l-x)5(S H -(l+A)E(V>(e*(/3 2 )+/? -e*(/? 2 2 ))). The sum of the first two terms is positive in view of A. 2 and the third term is positive in view of A.l. Q.E.D. < W As W regime III is optimal for , 6 > 5„. For 6 < S, regime I is is to clearly optimal. Lemma 2: a) There exists e [5,5„) such that for b 5 > 6 optimum the induce quality and :, Proof : - e(5)+s < e if ft < S - e* if 5 > S H L and e, — e a) At 5 b) H jg- - xW*(S )-A(l-x)U* IV ^- for Q . A S , S < $ the optimum is not to If - Q "* < AU b) -S < S induce , 5 n , W - W . Apply Lemma 1. - U*(S H )-(l-x)(S H -S L )-(l+A)(^(e(5)+s)-l)^f and de (l-x)U* dS " V(e(<$)+s)-y>' (e(6)) dW IV d$ / KH (l+A)(l-x)U (l-^(e(g)+s)) 44 .. vW „H „L quality If S H -S L IV < XV* , I ^r~ d6 > ?£-, hence the result. q6 Q.E.D. Thus, we get: Proposition 7: a) Incentives are higher when one does want not to induce incentive scheme quality. b) Conditional on quality, inducing becomes more high-powered when Proof a) : follows from the fact that b) follows from de -tt > e, 5 the increases. < e when quality is induced. . Q.E.D. The results are thus very similar to those of the moral hazard Section factor. is 6. A difference is that incentives are no monotonic in model the For a low discount factor, an extremely low-powered incentive needed for the firm to exert s. The loss of incentive to too costly, which yields a corner solution: to provide quality and /L fixed-price contract. reduce Because the firm is is common knowledge, not of discount scheme cost is induced the first-period contract is a But as long as the discount factor is sufficiently high to make it worthwhile to induce quality, with the discount factor. 45 incentives to reduce cost increase 2385 001 Date Due &-j g6 1990 582 , ROW- l|RLt8 W 3 2003 Lib-26-67 MIT LIBRARIES DUPL 3 I TOAD DDS7TOD5 7