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Social Security and democracy Author info | Abstract | Publisher info | Download info | Related research | Statistics Casey B. Mulligan () (University of Chicago)
Ricard Gil () (University of California, Santa Cruz)
Xavier Sala-i-Martin () (Columbia University - Department of Economics)
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Many political economic theories use and emphasize the process of voting in their explanation of the growth of Social Security, government spending, and other public policies. But is there an empirical connection between democracy and Social Security program size or design? Using some new international data sets to produce both country-panel econometric estimates as well as case studies of South American and southern European countries, we find that Social Security policy varies according to economic and demographic factors, but that very different political histories can result in the same Social Security policy. We find little partial effect of democracy on the size of Social Security budgets, on how those budgets are allocated, or how economic and demographic factors affect Social Security. If there is any observed difference, democracies spend a little less of their GDP on Social Security, grow their budgets a bit more slowly, and cap their payroll tax more often, than do economically and demographically similar nondemocracies. Democracies and nondemocracies are equally likely to have benefit formulas inducing retirement and, conditional on GDP per capita, equally likely to induce retirement with a retirement test vs. an earnings test.
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Paper provided by Columbia University, Department of Economics in its series Discussion Papers with number
0102-63.
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Length: 60 pages
Date of creation: 2002Date of revision:
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Casey Mulligan & Xavier Sala-i-Martin, 2004.
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Casey B. Mulligan & Xavier Sala-i-Martín, 2003.
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Casey B. Mulligan & Ricard Gil & Xavier Sala-i-Martin, 2004.
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