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Revealed Political Power Jinhui Bai and Roger Lagunoff (Georgetown - PowerPoint PPT Presentation

Revealed Political Power Jinhui Bai and Roger Lagunoff (Georgetown University) (Georgetown University) November, 2010 Introduction Political equality/egalitarianism is an ingrained governing philosophy in most democracies. Introduction


  1. Revealed Political Power Jinhui Bai and Roger Lagunoff (Georgetown University) (Georgetown University) November, 2010

  2. Introduction ◮ Political equality/egalitarianism is an ingrained governing philosophy in most democracies.

  3. Introduction ◮ Political equality/egalitarianism is an ingrained governing philosophy in most democracies. ◮ The principle is used to judge a government’s legitimacy.

  4. Introduction ◮ Political equality/egalitarianism is an ingrained governing philosophy in most democracies. ◮ The principle is used to judge a government’s legitimacy. ◮ ... embodied in rhetoric. “one-man-one-vote”, “justice is blind”, “equality in the eyes of the law” - Cleisthenes, 508BC, etc.,...

  5. Wealth Bias? ◮ Channels of Wealth Bias in Policy Making Process. ◮ Differential participation rates . Rosenstone and Hansen (1993), Bartels (2008).

  6. Wealth Bias? ◮ Channels of Wealth Bias in Policy Making Process. ◮ Differential participation rates . Rosenstone and Hansen (1993), Bartels (2008). ◮ Political Knowledge and Contact . Bartels (2008).

  7. Wealth Bias? ◮ Channels of Wealth Bias in Policy Making Process. ◮ Differential participation rates . Rosenstone and Hansen (1993), Bartels (2008). ◮ Political Knowledge and Contact . Bartels (2008). ◮ Campaign contributions . Austen-Smith (1987), Grossman and Helpman (1996), Prat (2002), Coate (2004), Campante (2008).

  8. Research Agenda ◮ Our Focus: Identify Wealth Bias from Policy Outcome : ◮ When can wealth bias be inferred? ◮ How much wealth bias can be inferred?

  9. Research Agenda ◮ Our Focus: Identify Wealth Bias from Policy Outcome : ◮ When can wealth bias be inferred? ◮ How much wealth bias can be inferred? ◮ Methodology : Non-parametric approach from Revealed Preference Tradition

  10. Research Agenda ◮ Our Focus: Identify Wealth Bias from Policy Outcome : ◮ When can wealth bias be inferred? ◮ How much wealth bias can be inferred? ◮ Methodology : Non-parametric approach from Revealed Preference Tradition ◮ Contrast with Existing Literature : ◮ Implication from Parametric Models: Benabou (2000), Campante (2008), Bai & Lagunoff (2010) ◮ Reduced Form Statistical Analysis: Bartels (2008)

  11. The Revealed-Preference-Type “Thought Experiment”

  12. The Revealed-Preference-Type “Thought Experiment” ◮ Adopt point of view of outside observer (Afriat (1967), etc...). The observer observes the policy data and the income distribution over a finite horizon.

  13. The Revealed-Preference-Type “Thought Experiment” ◮ Adopt point of view of outside observer (Afriat (1967), etc...). The observer observes the policy data and the income distribution over a finite horizon. ◮ The observer does not observe preference profiles directly, but knows voting preferences are well ordered by income (single crossing restriction).

  14. The Revealed-Preference-Type “Thought Experiment” ◮ Adopt point of view of outside observer (Afriat (1967), etc...). The observer observes the policy data and the income distribution over a finite horizon. ◮ The observer does not observe preference profiles directly, but knows voting preferences are well ordered by income (single crossing restriction). ◮ Observer draws inferences about distribution of political power as if this distribution was explicitly part of a weighted voting procedure. Bias = weights (Benabou, 1996, 2000).

  15. The Revealed-Preference-Type “Thought Experiment” ◮ Adopt point of view of outside observer (Afriat (1967), etc...). The observer observes the policy data and the income distribution over a finite horizon. ◮ The observer does not observe preference profiles directly, but knows voting preferences are well ordered by income (single crossing restriction). ◮ Observer draws inferences about distribution of political power as if this distribution was explicitly part of a weighted voting procedure. Bias = weights (Benabou, 1996, 2000).

  16. Three “Thought Experiments” 1. The Benchmark Case: Minimal preference restriction. Only policy data observed. .

  17. Three “Thought Experiments” 1. The Benchmark Case: Minimal preference restriction. Only policy data observed. Result: All biases rationalize all policy data. .

  18. Three “Thought Experiments” 1. The Benchmark Case: Minimal preference restriction. Only policy data observed. Result: All biases rationalize all policy data. 2. Expanded Data Set. 3. Contracted Set of Allowed Preference.

  19. Three “Thought Experiments” 1. The Benchmark Case: Minimal preference restriction. Only policy data observed. Result: All biases rationalize all policy data. 2. Expanded Data Set. Add polling data. Result: Upper and lower bounds on bias are derived. Data can sometimes discern “populist” vs “elitist” bias. 3. Contracted Set of Allowed Preference.

  20. Three “Thought Experiments” 1. The Benchmark Case: Minimal preference restriction. Only policy data observed. Result: All biases rationalize all policy data. 2. Expanded Data Set. Add polling data. Result: Upper and lower bounds on bias are derived. Data can sometimes discern “populist” vs “elitist” bias. 3. Contracted Set of Allowed Preference. Add Preference Restrictions: supermodularity and “weakly separable utility” Result: unbiased polity imposes monotonicity restriction on the data.

  21. The Economic Side ◮ i ∈ [0 , 1] citizen-types.

  22. The Economic Side ◮ i ∈ [0 , 1] citizen-types. ◮ T < ∞ observation dates.

  23. The Economic Side ◮ i ∈ [0 , 1] citizen-types. ◮ T < ∞ observation dates. ◮ Observed policies { a 1 , . . . , a T } . (e.g., tax rates, transfers, public goods, etc).

  24. The Economic Side ◮ i ∈ [0 , 1] citizen-types. ◮ T < ∞ observation dates. ◮ Observed policies { a 1 , . . . , a T } . (e.g., tax rates, transfers, public goods, etc). ◮ States { ω 1 , . . . , ω T } . (e.g. physical capital, human capital, etc.).

  25. The Economic Side ◮ i ∈ [0 , 1] citizen-types. ◮ T < ∞ observation dates. ◮ Observed policies { a 1 , . . . , a T } . (e.g., tax rates, transfers, public goods, etc). ◮ States { ω 1 , . . . , ω T } . (e.g. physical capital, human capital, etc.). ◮ Income distribution. y(i , ω t ) , t = 1 , . . . , T .

  26. The Economic Side ◮ i ∈ [0 , 1] citizen-types. ◮ T < ∞ observation dates. ◮ Observed policies { a 1 , . . . , a T } . (e.g., tax rates, transfers, public goods, etc). ◮ States { ω 1 , . . . , ω T } . (e.g. physical capital, human capital, etc.). ◮ Income distribution. y(i , ω t ) , t = 1 , . . . , T . Assumptions : One dimensional policies, states. Each state is distinct. y increasing in i , and its structure is known/observed by outside observer.

  27. Preferences U(i , ω t , a t ) = i ’s payoff fnct. Outside observer does not know/observe U directly, but knows that U belongs to an “admissible” class defined by (A1) (Single peakedness) U single peaked in a . (A2) (Single Crossing) U satisfies single crossing in (a; i) .

  28. A Static Example c t + G 1 − ρ t u(c t , G t ) = s . t . 1 − ρ c t = (1 − τ t ) y (i , ω t ) , � 1 G t = τ t y (i , ω t ) di = τ t y ( ω t ) 0

  29. A Static Example c t + G 1 − ρ t u(c t , G t ) = s . t . 1 − ρ c t = (1 − τ t ) y (i , ω t ) , � 1 G t = τ t y (i , ω t ) di = τ t y ( ω t ) 0 Define a t = 1 − τ t so the problem becomes U (i , ω t , a t ) = a t y (i , ω t ) + [(1 − a t ) y ( ω t )] 1 − ρ . 1 − ρ

  30. A Static Example c t + G 1 − ρ t u(c t , G t ) = s . t . 1 − ρ c t = (1 − τ t ) y (i , ω t ) , � 1 G t = τ t y (i , ω t ) di = τ t y ( ω t ) 0 Define a t = 1 − τ t so the problem becomes U (i , ω t , a t ) = a t y (i , ω t ) + [(1 − a t ) y ( ω t )] 1 − ρ . 1 − ρ Problem accommodates: (a) pure growth. y(i , ω t ) = g(i) ω t . (b) pure (mean-preserving) inequality change. y( ω ) = ¯ y .

  31. The Political Side Power is measured by a wealth-weighted vote share λ (y , α, ω ) where α ( ω ) = bias in each state.

  32. The Political Side Power is measured by a wealth-weighted vote share λ (y , α, ω ) where α ( ω ) = bias in each state. Canonical case (Benabou (1996, 2000)): y(i , ω ) α ( ω ) y(i , ω ) α ( ω ) 1 1 − α ( ω ) λ (y(i , ω ) , α ( ω ) , ω ) = = � 1 � 1 0 y(j , ω ) α ( ω ) dj 0 y(j , ω ) α ( ω ) 1 1 − α ( ω ) dj

  33. The Political Side Power is measured by a wealth-weighted vote share λ (y , α, ω ) where α ( ω ) = bias in each state. Canonical case (Benabou (1996, 2000)): y(i , ω ) α ( ω ) y(i , ω ) α ( ω ) 1 1 − α ( ω ) λ (y(i , ω ) , α ( ω ) , ω ) = = � 1 � 1 0 y(j , ω ) α ( ω ) dj 0 y(j , ω ) α ( ω ) 1 1 − α ( ω ) dj α ( ω ) = weight attached to voter’s relative wealth. 1 − α ( ω ) = weight attached to equal representation .

  34. The Political Side Power is measured by a wealth-weighted vote share λ (y , α, ω ) where α ( ω ) = bias in each state. Canonical case (Benabou (1996, 2000)): y(i , ω ) α ( ω ) y(i , ω ) α ( ω ) 1 1 − α ( ω ) λ (y(i , ω ) , α ( ω ) , ω ) = = � 1 � 1 0 y(j , ω ) α ( ω ) dj 0 y(j , ω ) α ( ω ) 1 1 − α ( ω ) dj α ( ω ) = weight attached to voter’s relative wealth. 1 − α ( ω ) = weight attached to equal representation . α ( ω ) > 0 an elitist bias α ( ω ) < 0 a populist bias α ( ω ) = 0 an unbiased polity .

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