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The Evolution of Substantive and Descriptive Representation, 1974-2004 David Epstein Sharyn O’Halloran Columbia University.

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Presentation on theme: "The Evolution of Substantive and Descriptive Representation, 1974-2004 David Epstein Sharyn O’Halloran Columbia University."— Presentation transcript:

1 The Evolution of Substantive and Descriptive Representation, 1974-2004 David Epstein Sharyn O’Halloran Columbia University

2 Georgia’s Gerrymander RangeBaselineProposed 0-253126 25-401117 40-5020 50-6028 60+105 Plan: Reallocate black voters to elect Democrats

3 Is This Retrogression?

4 The Perfect Storm  DC denied preclearance, saying state didn’t prove non-retrogression in three districts  SC overruled in Georgia v. Ashcroft: Retrogression should be assessed statewide, not district-by-district States could pursue substantive rather than descriptive representation Put much weight on testimony of black legislators

5 Consensus View  A conventional wisdom is forming about the meaning and importance of Ashcroft: 1. It abandoned a previous, “relatively mechanical” retrogression test based on electability; 2. It did so in favor of an amorphous concept of substantive representation that will be difficult to administer; and 3. The crux of the debate revolves around whether states should pursue substantive as opposed to descriptive representation.

6 This Paper  We disagree with all three of these statements The previous standard for retrogression was crumbling anyway, due to political changes  The Court revised this, too, in the opinion, moving to a statewide assessment of retrogression Substantive representation is not difficult to measure and administer Real arguments aren’t over descriptive vs. substantive representation, for the most part  Rather, the question is on how best to achieve secure levels of substantive representation

7 Electability: High Polarization

8 % BVAP 0 P* 50100 High Polarization Measuring Descriptive Representation

9 % BVAP 0 P* 50100 No Minority Control High Polarization Measuring Descriptive Representation Minority Control

10 Electability: Low Polarization

11 % BVAP 0 P* 50100 No Minority Control High Polarization Measuring Descriptive Representation Minority Control % BVAP 0 P* 50100 Low Polarization

12 % BVAP 0 P* 50100 No Minority Control High Polarization Measuring Descriptive Representation Minority Control % BVAP 0 P* 50100 Coali- tional Low Polarization

13 % BVAP 0 P* 50100 No Minority Control High Polarization Measuring Descriptive Representation Minority Control % BVAP 0 P* 50100 PSPS Coali- tional Unsafe Control Low Polarization

14 % BVAP 0 P* 50100 No Minority Control High Polarization Measuring Descriptive Representation Minority Control % BVAP 0 P* 50100 Safe Control PSPSP Coali- tional Unsafe Control Packing Low Polarization

15 % BVAP 0 P* 50100 No Minority Control High Polarization Measuring Descriptive Representation Minority Control % BVAP 0 P* 50100 No Minority Control Safe Control PSPSP Coali- tional Unsafe Control Packing Low Polarization PIPI Influence

16 % BVAP 0 P* 50100 No Minority Control High Polarization Measuring Descriptive Representation Minority Control % BVAP 0 P* 50100 No Minority Control Safe Control PSPSP Coali- tional Unsafe Control Packing Low Polarization PIPI Influence How to make tradeoffs?

17 Retrogression in Electability  Forget categories; just use the probability of electing a minority candidate in each district Estimate this using “S-curves”

18 Low Polarization

19 Retrogression in Electability  Forget categories; just use the probability of electing a minority candidate in each district Estimate this using “S-curves”  Then add up the probabilities to get the expected number of minorities elected Can consider the variance of this distribution, too  For Georgia, the proposed plan had slightly fewer expected minorities elected Problem with overpopulated districts

20 Substantive Descriptive Pareto Frontier Ashcroft & Substantive Representation

21 Substantive Descriptive SQ Pareto Frontier Ashcroft & Substantive Representation

22 Substantive Descriptive SQ 1 2 3 4 Pareto Frontier Ashcroft & Substantive Representation

23 Substantive Descriptive SQ 1 2 3 4 Pareto Frontier Ashcroft & Substantive Representation Pre-Ashcroft X X

24 Substantive Descriptive SQ 1 2 3 4 Pareto Frontier Ashcroft & Substantive Representation Post-Ashcroft X

25 Substantive Descriptive SQ 1 2 3 4 P Pareto Frontier Ashcroft & Substantive Representation X A move to P is now non-retrogressive

26 Measuring Substantive Representation  Great leaps have been made in the past two decades in the analysis of voting behavior This is now commonly used as a measure of members’ policy preferences  Not because voting is the only important act But because it correlates with constituency service, committee work, etc.  For substantive representation of black interests, define a legislator’s Black Support Score: BSS= % of votes cast with the black majority

27 Rep. Black Dem. White Dem. South Carolina State House

28 Overall Expected Representation  Can compare plans by calculating the expected substantive representation Combines prob. of election and support scores For Georgia, this was:  Real argument is over the distribution of these scores, not over descriptive vs. substantive representation MeanMedian Baseline62.3%50.2% Proposed65.9%69.2%

29 Trends, 1974-2004  Show changes in Election probabilities Substantive representation Maximizing plans  Results: Greater crossover in voting means point of equal opportunity is under 50% BVAP Southern Democrats become more liberal A tradeoff emerges between substantive and descriptive representation

30 Probability Black Dems Republicans White Dems

31 Substantive Representation, 1974-2000

32

33 The Emerging Pareto Frontier

34

35 BVAP & HVAP Combinations for PEO

36 Georgia State Senate, 1999-2002

37 Descriptive Representation, 1974-2000

38 Rep. Black Dem. White Dem.


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