Competition After Unbundling: Entry, Industry Structure and Convergence George Ford Chief Economist Phoenix Center Basic Setup: Equilibrium Industry Structure Firms enter only if they make a profit Entry stops when “the next firm” expects a negative profit When entry stops, the existing number of firms is the equilibrium number of firms (N*) No incentive to enter No incentive to exit Formal Theory S N* E N* = Equilibrium Number of Firms (symmetric) = Weakness of Competition S = Market Size in Expenditure (isoelastic demand) E = Sunk Entry Costs Sources: Sutton, Duvall and Ford (PP10), Beard and Ford The Entry Decision: Less Formal Theory Do gross profits (d) exceed entry costs (e)? d–e 0 Gross profits (d) are revenues less variable costs. Entry costs (e) are fixed/sunk What it Means Time Revenue 0 Discount Factor Discounted Revenues 1.00 $500.00 1 $100.00 0.91 $90.91 2 $100.00 0.83 $82.64 3 $100.00 0.75 $75.13 4 $100.00 0.68 $68.30 5 $100.00 0.62 $62.09 6 $100.00 0.56 $56.45 7 $100.00 0.51 $51.32 8 $100.00 0.47 $46.65 9 $100.00 0.42 $42.41 10 $100.00 0.39 $38.55 Sum Entry Costs $614.46 $500.00 Want Facilities-based Entry? Increase Reduce Gross Profits Entry Costs Multiple Changes Higher Profits Lower Entry Costs More Entry Lower Profits Higher Entry Costs Less Entry Higher Profits Higher Entry Costs Lower Profits Lower Entry Costs Unknown Unknown Equilibrium Industry Structure High Fixed and Sunk Costs allow only few firms to enter Historically, local distribution networks for communications services have tended toward monopoly Voice Video Factors Driving Profits (d) Market Size (+) Intensity of Price Competition (-) Product Differentiation (+) Network Overlap (-) Numerical Example 1 (Table 1, PCPP 21) Equilibrium Number of Firms, N* = 3 N d e d-e 1 2 3 4 100 40 20 12 15 15 15 15 85 25 5 -3 5 6 7 8 5 4 15 15 15 -7 -10 -11 Numerical Example 2 (Higher Gross Profits) Equilibrium Number of Firms, N* = 5 N d e d-e 1 2 3 4 200 80 40 24 15 15 15 15 185 65 25 9 5 6 7 16 10 8 15 15 15 1 -5 -7 Factors Driving Profits (d) Market Size (+) Intensity of Price Competition (-) Product Differentiation (+) Network Overlap (-) Numerical Example 3 (Intensity of Price Competition) N e Intense Price Competition Moderate Price Competition Perfect Collusion d d-e d d-e d d-e 1 15 100 85 100 85 100 85 2 15 28 13 40 25 50 35 3 15 12 -3 20 5 33 18 4 15 6 -9 12 -3 25 10 5 15 4 -11 8 -7 20 5 6 15 3 -12 5 -10 17 2 7 15 2 -13 4 -11 14 -1 Headcount and Competition With large fixed/sunk costs, headcounts can be deceiving A large number of firms may indicate collusion A small number of firms may indicate intense price competition Entry and Collusion (Based on Post-Convergence Example Above) Firm 1 Firm 2 Enter Stay Out Enter 50 50 40 110 Stay Out 110 40 100 100 Factors Driving Profits (d) Market Size (+) Intensity of Price Competition (-) Product Differentiation (+) Network Overlap (-) Product Differentiation and Overlap Differentiation weakens price competition. Price Overlap increases price competition. P1 P2 More Differentiation P3 Less Differentiation 50% 100% Phoenix Center Policy Paper No. 21, Figure 1. Homes/Overlap Diversion: Competition and Substitution Competition occurs between goods/services that perform a similar task for consumers Good X is a substitute for Good Y if the demand for Good X rises when the price of Good Y rises (and vice versa) Diversion: Competition and Substitution The relationship of quantities of goods is not an indicator of substitution Unless we already know the goods are perfect substitutes Substitution is of degree Airplanes, Buses, Cars, Trains all provide transportation, but we might be concerned about a monopoly over any of one of them Diversion: Competition and Substitution As long as the own-price demand elasticity is less than –1.0 (or inelastic), then a 5% price increase is profitable Cross-price elasticities are not indicators of Antitrust markets Large cross price elasticities are indicators of good substitution, but if own-price is not elastic enough, a significant price increase remains profitable Example Wireless Substitution and Competition, by Stephen Pociask lnQM = -0.56 · lnPM + 1.97·lnPW+X+ More wrong with the econometrics of this paper than I could cover in a day, much less an hour “…the models provide compelling empirical evidence that wireless and wireline services are indeed substitute goods, and are not extraneous or complementary goods (at 15).” This model indicates substitution (an implausibly large amount of it), but still not enough substitution to place wireless/wireline in theP issame market. Q is quantity, price, M is mobile, W is wireline, ln is the nat. logarithmic transformation, X is the means of the other variables in the model multiplied by their coefficients. Types of Entry Costs (e) Technological Entry Costs (+) Strategic Entry Costs (+) Regulatory Entry Costs (+) Spillovers (-) Types of Entry Costs (e) Technological Entry Costs (+) Entry costs that are unavoidable to provide service Network Operating Capital Advertising Building Leases Etc… Types of Entry Costs (e) Strategic Entry Costs (+) Entry costs that arise solely because of incumbent firm actions intended to raise entry costs Excessive Advertising Lock-in Contracts Strategic Pricing Types of Entry Costs (e) Regulatory Entry Costs (+) Rules that raise entry costs above technological entry costs Build-out Requirements Gold-plating Networks Entry Fees E911 and other social programs If socially-desirable, there may be a trade-off between entry and the provision of the service (e.g., E911) Types of Entry Costs (e) Spillovers (-) Spillovers exist when a firm can use existing assets to enter related markets. This firm has lower entry costs than a firm without existing assets that can be leveraged into a related market Network (DSL over Copper; Cable Broadband over Coax; Fiber over existing rights-of-way; customer relationships) Numerical Example 1 (Table 1, PCPP 21) Equilibrium Number of Firms, N* = 3 N d e d-e 1 2 3 4 100 40 20 12 15 15 15 15 85 25 5 -3 5 6 7 8 5 4 15 15 15 -7 -10 -11 Numerical Example 4 (Reduced Entry Costs) Equilibrium Number of Firms, N* = 6 N d e d-e 1 2 3 4 100 40 20 12 5 5 5 5 95 35 15 7 5 6 7 8 5 4 5 5 5 3 0 -1 Spillovers and Convergence Convergence is relevant only when it reduces entry costs. Effects of convergence are generally limited to firms with existing assets that can be “spilled over” into related markets. Numerical Example 5 (Spillovers and Convergence) Pre-Convergence Monopoly Profit Duopoly Profit (d) Entry Costs (e ) d–e Market 1 100 40 50 -10 Market 2 100 40 50 -10 Post-Convergence Monopoly Profit Duopoly Profit (d) Entry Costs (e ) d–e Market 1 100 40 30 10 Market 2 100 40 30 10 Equilibrium Industry Structure: Summary There will be few local networks So, rig the game in favor of entry by new firms and expansion by existing firms into related market Eliminate regulatory entry barriers Impede strategic entry barriers Expand markets Phoenix Center Policy Paper No. 22 The Consumer Welfare Cost of Cable “Build-Out” Rules Build-Out Rules Unambiguously Bad for Entrants May be good for Consumers May be good for Incumbents But can’t be good for both Consumers and Incumbents at the same time Why do both policymakers and incumbents advocate for build-out rules? Build-Out Rule: Graphical Explanation Price homes ordered by capital cost e(h) e(h): Entry Cost for home i r(h): Expected Revenue for home i r(h) H Phoenix Center Policy Paper No. 22, Figure 1. Homes/Overlap Free Entry Equilibrium Price homes ordered by capital cost Profits from Entry e(h) t w r(h) v h* H Homes/Overlap With Build-Out Rule Price homes ordered by capital cost y e(h) Profits from Entry Losses from Entry r(h) u x z v H Homes/Overlap With Build-Out Rule: The Monopoly’s Decision Price homes ordered by capital cost Profits from Entry r(h) Losses from Entry e(h) H The monopolists decision to build-out is entirely different than an entrants. Homes/Overlap Build-out Rule: Matrix of Preferred Outcomes Participant Free Entry Build-out Rule Entry No Entry Consumers 2 1 3 Incumbent 2 3 1 Phoenix Center Policy Paper No. 22, Table 1. FCC on Build-out Rules “build-out requirements are of central importance to competitive entry because these requirements impact the threshold question of whether a potential competitor will enter the local exchange market at all.” FCC No. 97-346 (1997) Simulation Summary of Results Entrant H-Pass Markets Served Entrant CAPEX Consumer Incumbent Surplus Profit Monopoly … … … 60M 120M Free Entry 60,000 100 18M 75M 94M Build-out 15,000 15 6M 64M 113M Phoenix Center Policy Paper No. 22, Table 2. Assumptions: Entrant market share = 35%. Price decline for 100% overlap is 20%. Simulation: Effect of Market Share Entrant’s Market Share Share Homes Passed Entrant Markets Served Free Entry Build-out Free Entry Build-out 20% 0.10 0.00 100 0 25% 0.26 0.00 100 0 30% 0.43 0.00 100 0 35% 0.60 0.15 100 15 40% 0.69 0.36 100 36 45% 0.75 0.54 100 54 50% 0.79 0.65 100 65 Simulation: Build-out and Investment Entrant’s Market Share Share Homes Passed Investment Free Entry Build-out Free Entry Build-out 20% 0.10 0.00 2 0 25% 0.26 0.00 7 0 30% 0.43 0.00 12 0 35% 0.60 0.15 18 6 40% 0.69 0.36 22 15 45% 0.75 0.54 26 23 50% 0.79 0.65 28 30 Simulation: Build-out, Consumers and Incumbents Entrant’s Market Share Consumer Surplus Incumbent Profits Free Entry Build-out Free Entry Build-out 20% 63 60 117 120 25% 67 60 112 120 30% 71 60 104 120 35% 75 64 94 113 40% 78 69 85 102 45% 80 74 76 90 50% 81 77 71 79 Defection What happens if some communities abandon the build-out rule when others maintain it? Defection raises the defector’s relative profitability, increasing the prospects for deployment sooner (rather than later, if ever) With 25% defection rates, average increase in profit rank is 38 positions (out of 100) In Defense of Build-out Rules NCTA Incumbent cable firms cross-subsidize low value areas with profits from high-value areas Entry in high-value areas only depletes source of cross subsidy, threatening upgrades/expansion in low value areas Entrants should have to build-out too, regardless of whether it deters entry In Defense The Monopoly’s Decision Price homes ordered by capital cost Profits from Entry e(h) Losses from Entry r(h) H Profits offset losses for Monopoly build-out. Homes In Defense Entry with Uniform Price Price homes ordered by capital cost Profits from Entry e(h) Losses from Entry r(h) H Profits insufficient to cover losses. But, entrant does not enter (50-50 split of the market). Homes/Overlap In Defense Entry with Market Segmentation Price homes ordered by capital cost Profits from Entry e(h) Losses from Entry rmonop rcomp H With markets segmented, higher price in uncontested segment reduces loss, increases profit. Homes/Overlap Evaluation of Defense Cable network is sunk As long as revenues exceed the incremental cost of the network (programming, maintenance), there is no incentive to abandon the network According to NCTA, upgrades are done at the edge of the network, so initial capital cost of network are somewhat irrelevant Evaluation: Social Goal NCTA says build-out is a social goal Build network where we shouldn’t (in a market economy sense) NCTA Solution: Build 2 networks where there shouldn’t be 1 Evaluation: Social Goal Why should buildouts be based on cable franchise markets? Franchise boundaries are arbitrary, not economic boundaries ILEC territories often don’t match If broadband availability is a function of video in the bundle, then local governments are interfering with federal role in broadband deployment Evaluation: Social Goal Entry deterrence is the purpose of buildout requirements Incumbent profit is always less the more the entrant overlaps the existing network Econometric analysis shows build-out rules (level playing field rules) deter entry Phoenix Center Policy Paper No. 23 Video and Broadband Network Deployment Want Facilities-based Entry? Increase Reduce Gross Profits Entry Costs Index of Consumption (Pew Survey 2002) Group Cell Phone Cable/Satellite Premium Internet All 1.00 1.00 1.00 1.00 Men 1.14 1.03 1.10 1.09 Women 0.88 0.95 0.93 0.87 Whites 1.00 0.96 0.98 0.97 Blacks 0.90 1.16 1.14 1.02 Latino 1.25 0.96 1.30 0.88 Col. Grads 1.22 1.09 0.97 1.47 Students 1.08 1.01 0.95 1.30 Employed 1.23 1.00 0.96 1.20 Urban 1.02 1.07 1.04 1.15 Suburban 1.03 1.07 0.94 1.02 Rural 0.95 0.74 0.94 0.76 Census 2003, Subscription Rates Income Telephone Internet Dial-up Cable/DSL Less Than 5000 92.0 26.6 15.9 10.2 5000 To 7499 94.2 20.3 14.0 5.9 7500 To 9999 96.5 19.6 14.2 5.0 10000 To 12499 97.1 22.8 16.5 6.2 12500 To 14999 97.2 24.6 18.2 5.8 15000 To 19999 96.8 29.5 21.5 7.8 20000 To 24999 97.8 36.9 26.7 9.9 25000 To 29999 98.3 42.6 29.6 12.0 30000 To 34999 98.4 49.0 35.1 13.2 35000 To 39999 98.7 57.7 41.9 15.0 40000 To 49999 99.2 66.3 45.2 20.2 50000 To 59999 99.2 71.9 47.0 24.0 60000 To 74999 99.4 79.9 49.8 29.1 75000 To 99999 99.3 84.2 48.0 35.2 100000 To 149999 99.7 90.4 42.3 46.4 150000 and Over 99.7 92.4 36.4 54.2 Cable Subscription and Income Mediamark Research, Inc. Income < $25,000; 54% $25,000 < Income < $49,999; 62% $50,000 < Income < $74,999; 70% Income > $75,000; 75% GAO Regression Analysis (2005) Negative relationship between basic cable penetration rate and incomes Video, Income, Deployment $ homes ordered by income r(y): Expected Revenue for home i, which is a function of income y k: Capital Cost per Home Passed y* Phoenix Center Policy Paper No. 23, Figure 1. Income (y) Video, Income, Deployment homes ordered by income r1+ r2 k+d $ r1 k Add Good 2 to the product mix, at incremental cost d Good 1 = Good 2 in expenditures y’ y* Phoenix Center Policy Paper No. 23, Figure 2. Income (y) Video, Income, Deployment $ homes ordered by income r1+ r3 k+d r1 k = r3 y* Phoenix Center Policy Paper No. 23, Figure 3. Add Good 3 to the product mix with Good 1, at incremental cost d Average of Good 1 = Good 3, but Good 3 has no relationship to income Income (y) Simulation Results Income Broadband Broadband+ Telephony Broadband + Video All Three Services y < 20,000 - - 0.84 0.88 20,000 < y <30,000 - - 0.88 0.90 30,000 < y <40,000 - - 0.93 0.95 40,000 < y <50,000 - 0.04 0.98 0.99 50,000 < y <60,000 0.01 0.09 1.00 1.00 60,000 < y <70,000 0.02 0.20 1.00 1.00 70,000 < y <80,000 0.09 0.54 1.00 1.00 80,000 < y <90,000 0.14 0.76 1.00 1.00 90,000 < y <100,000 0.34 0.92 1.00 1.00 100,000 < y <125,000 0.83 1.00 1.00 1.00 125,000 < y <150,000 0.97 0.97 1.00 1.00 y > 150,000 1.00 1.00 1.00 1.00 Summary We are now faced with a facilities-based only entry method into local markets (video, voice, and data) We must eliminate any unnecessary barriers to facilities-based entry if we are to have competition Market limitations Build-out Rules Etc. Summary Consider the source of policy proposals Build-out rules are only good for cable incumbents if entry is deterred; thus, they are betting on entry deterrence Cross-subsidy is the enemy of competition, because competition is the entry of cross-subsidy Social agendas may need to be re-evaluated and refinanced