RANDOMIZING DISTRICTS FOR REELECTION: A THOUGHT EXPERIMENT Scott Wentland Assistant Professor of Economics Longwood University Peter Stone Lecturer in Political Science Trinity College (Dublin, Ireland) Paper available at SSRN: Or, e-mail me at: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1767079 wentlandsa@longwood.edu Puzzling Numbers Approval Rating of Congress: Gallup Poll: CBS News/NYT: 13% (Sept. 2012) 12% (Sept. 2012) Puzzling Numbers Approval Rating of Congress: Gallup Poll: CBS News/NYT: 13% (Sept. 2012) 12% (Sept. 2012) Re-election Rates: Senate 2006: 79% 2008: 83% 2010: 84% House of Representatives: 2006: 94% 2008: 94% 2010: 85% Hate Congress, Love our Congressman? Why do we hate the Congress, but love our own representative? Perhaps the other districts are just not electing the right people… What if we just elected better representatives? A Nobel prize winning economist has some thoughts… http://www.youtube.com/watch?v=ac9j15eig_w&feature=share Economists vs. Everyone Else Why aren’t our Congressmen (or businessmen, or administrators) doing what we want them to do? Everyone else: Why can’t we elect the “right” people? What we’ve got is bad/incompetent/ignorant people Solution: try to get the “right” people in the job Economists vs. Everybody Else Why aren’t our Congressmen (or businessmen, or administrators) doing what we want them to do? Economists What are their incentives? Given their incentives, should we expect normal, selfinterested human beings to act any different? Solution: Change the institution. Change their incentives. Congressional Incentives Members of Congress generally desire to be reelected To be reelected, Congressmen are solely accountable to their respective districts These districts are geographically defined, and Congressmen know who their constituencies are Congressional Incentives When a Congressman fights for his/her local interests, such interests may not advance, or may even be at odds with, the wider national interest Some examples: Wasteful pork-barrel spending e.g. “Bridge to Nowhere” Various subsidies and tariffs District-specific provisions and earmarks in omnibus bills Key Questions Instead of going up for reelection in the same district over and over, what if legislators did not know who will be voting in their reelection campaign? How might their incentives change? How might we align representatives’ interests better with a more general, national interest? A Thought Experiment What if a Congressman had to campaign for reelection in a different district than the one that last elected him/her? What if, for each Congressman and for each election, we randomize the districts that would vote on whether to reelect him/her? How might this affect policy outcomes in a representative democracy? An Illustration of the Rule An example using the U.S. House of Representatives Jane Doe, a Congressman from Ohio’s 9th District is elected in 2010 In 2012, she and her challengers (decided by a primary) draws California’s 21st district from a random lottery She and her challengers campaign in the new district and will appear on California’s 21st district’s ballot on Election Day. Key Objectives Explore the rule’s philosophical underpinnings Why might this rule be desirable in principle? Explore the rule’s economic implications and consequences How does our rule compare with the current system of static geographically-based representation? In what ways would our rule improve upon the current system? Philosophical Underpinnings John Rawls’ A Theory of Justice How might individuals agree to just rules in a social contract? A famous thought experiment: The original position and veil of ignorance In setting up the laws of social contract, if individuals were completely ignorant of who they are (e.g. place in society, social status, abilities, intelligence, etc.), they would be in a unique, objective position to agree upon just rules for society Philosophical Underpinnings Introducing a veil of randomness The veil of ignorance is merely a hypothetical construct and does not exist in the real world Our rule, however, does resemble it as it places legislators behind a different veil, a veil of randomness Veil of Randomness Representatives are blinded by a randomized procedure Representatives do not know to whom they will be accountable in their next election They will have no knowledge of the specific political, economic, or cultural make-up of their next constituency Why craft rules/laws/policies specifically catered to benefit one geographically define area at the expense of others? Economic and Policy Implications We believe that, under certain circumstances, our rule will tend to generate: 1. 2. 3. 4. 5. Pareto-superior and equitable legislation Unanimous agreement on such legislation Stability (i.e. prevent “cycles”) Incentives to reverse inefficient past legislation A more moderate legislature, ideologically Creating Legislation & Logrolling Representatives may logroll, or trade votes, to secure concentrated benefits that their respective constituencies care about most Example A district in NC may have a strong interest in tobacco, while a LA district has a strong interest in sugar The NC representative votes for a sugar tariff if The LA representative votes for a tobacco tariff Deals – Good Ones and Bad Ones Legislative deals and compromises can be good or “positive sum” for our economy/nation as a whole If deals get made, don’t we all want to be included in the benefits? If good deals get made, don’t we want these policy outcomes to be stable? What if legislators made bad or “negative sum” deals? Isn’t this what the (12% approval rating) Congress is all about? Logrolling – A Positive Sum Example With the current system, Policy A & B pass if representatives from Districts 1 & 2 trade votes to vote for them as an omnibus Figure 1 – Logrolling as a Positive Sum Game Policy A Policy B District 1 5 -1 District 2 -1 5 District 3 -1 -1 Logrolling – A Positive Sum Example With the current system, Policy A & B pass if representatives from Districts 1 & 2 trade votes to vote for them as an omnibus Figure 1 – Logrolling as a Positive Sum Game Policy A Policy B District 1 5 -1 District 2 -1 5 District 3 -1 -1 Logrolling – A Positive Sum Example With the current system, Policy A & B pass if representatives from Districts 1 & 2 trade votes to vote for them as an omnibus Figure 1 – Logrolling as a Positive Sum Game Policy A Policy B District 1 5 -1 District 2 -1 5 District 3 -1 -1 Logrolling – A Positive Sum Example With the current system, Policy A & B pass if representatives from Districts 1 & 2 trade votes to vote for them as an omnibus Figure 1 – Logrolling as a Positive Sum Game Policy A Policy B District 1 5 -1 District 2 -1 5 District 3 -1 -1 …but District 3 loses out Logrolling – A Positive Sum Example With our rule, Policy A & B pass but for different reasons One unlucky representative may face District 3 in the next election… They have an incentive to redistribute gains by adding a Policy C to the omnibus bill Figure 2 – Logrolling as a Positive Sum Game (with an Equitable Transfer) District 1 District 2 District 3 Policy A 5 -1 -1 Policy B -1 5 -1 Policy C -2 -2 4 Logrolling – A Positive Sum Example Remember, our representatives are behind a veil of randomness They have little incentive to favor one district over another Legislation will tend to be positive sum & Paretoefficient Generates unanimous agreement Figure 2 – Logrolling as a Positive Sum Game (with an Equitable Transfer) Policy A Policy B Policy C District 1 5 -1 -2 District 2 -1 5 -2 District 3 -1 -1 4 Cycles Under the current system, Policy A & B pass but this is not a stable equilibrium. Figure 1 – Logrolling as a Positive Sum Game Policy A Policy B District 1 5 -1 District 2 -1 5 District 3 -1 -1 District 3 loses out and has an incentive to make a deal with either District 1 or District 2, leaving one of them out… The districts who are left out always have an incentive to “reign in on the parade,” creating instability and cycles Cycles With our rule, voting cycles need not exist All representatives stand behind the same veil of randomness and face the same incentives They have little incentive to pass legislation that leave any districts out Randomizing districts for reelection tends to generate stable policy outcomes Logrolling – A Negative Sum Example With the current system, Policies X and Y may pass, despite being a net cost to the nation as a whole Figure 3 – Logrolling as a Negative Sum Game Policy X Policy Y District 1 5 -3 District 2 -3 5 District 3 -3 -3 Logrolling – A Negative Sum Example With the current system, Policies X and Y may pass, despite being a net cost to the nation as a whole Figure 3 – Logrolling as a Negative Sum Game Policy X Policy Y District 1 5 -3 District 2 -3 5 District 3 -3 -3 Logrolling – A Negative Sum Example With the current system, Policies X and Y may pass, despite being a net cost to the nation as a whole Figure 3 – Logrolling as a Negative Sum Game Policy X Policy Y District 1 5 -3 District 2 -3 5 District 3 -3 -3 Logrolling – A Negative Sum Example With the current system, Policies X and Y may pass, despite being a net cost to the nation as a whole Figure 3 – Logrolling as a Negative Sum Game Policy X Policy Y District 1 5 -3 District 2 -3 5 District 3 -3 -3 Logrolling – A Negative Sum Example With the current system, Policies X and Y may pass, despite being a net cost to the nation as a whole Figure 3 – Logrolling as a Negative Sum Game Policy X Policy Y District 1 5 -3 District 2 -3 5 District 3 -3 -3 District 1 & 2: District 3: +4 (or +2 apiece) -6 Explaining the 12% Approval Among other reasons, we tend to dislike Congress because they often make bad deals and produce suboptimal policy The deals don’t just extend to economic policy We can think of the “+4” and “-6” as utility, not dollars “Negative sum” policy can be ideological, too Legislators tend to get re-elected because they fight for their respective districts District 1 & 2: re-elected for “bringing home the bacon” District 3: re-elected for demonizing Reps. 1 & 2 Logrolling – A Negative Sum Example With our rule, Policies X & Y will not pass There is some probability (.33) a representative will draw District 3 Because this is a negative sum game, there is no way to redistribute gains such that all districts are better off Figure 3 – Logrolling as a Negative Sum Game Policy X Policy Y District 1 5 -3 District 2 -3 5 District 3 -3 -3 Back to Friedman “The way you solve things is making it politically profitable for the wrong people to do the right things.” - Milton Friedman Further Implications Legislators will have an incentive look for inefficiencies in past legislation (looking for negative sum legislation) Undoing negative sum legislation is, by definition, a positive sum game Forward-looking, self-interested legislators will seek out such inefficiencies and redistribute “free lunch” gains across all districts Ideology & The Median Voter Under the current system, we tend to have a wide spectrum of representatives ideologically An extreme representative may simply represent a more extreme district (i.e. the median voter in that district is more extreme) Figure 5 – An Eleven District Left/Right Preference Spectrum Less Conservative/ More Conservative/ More Liberal Less Liberal 0 1 2 3 4 5 6 7 8 9 10 Ideology & The Median Voter With our rule, extreme candidates have the lowest probability for reelection Because districts for reelection are randomized, more moderate candidates have the highest probability of winning Figure 5 – An Eleven District Left/Right Preference Spectrum Less Conservative/ More Conservative/ More Liberal Less Liberal 0 1 2 3 4 5 6 7 8 9 10 Conclusions Problems with our current system of representative democracy are well-known Our rule certainly does not solve all of them We think our thought experiment does highlight some key ways randomness can change incentives Legislators that are behind a veil of randomness tend to create: 1. 2. 3. 4. 5. Pareto-superior and equitable legislation Unanimous agreement on such legislation Stability (i.e. prevent “cycles”) Incentives to reverse inefficient past legislation A more moderate legislature, ideologically “The way you solve things is making it politically profitable for the wrong people to do the right things.” - Milton Friedman