Do Nonpartisan Programmatic Policies Have Partisan Electoral Effects? Evidence from Two Large Scale Experiments
Kosuke Imai, Gary King, Carlos Velasco Rivera. 2020.
"Do Nonpartisan Programmatic Policies Have Partisan Electoral Effects? Evidence from Two Large Scale Experiments".
The Journal of Politics, 82, 2, Pp. 714–730.

Abstract
A vast literature demonstrates that voters around the world who benefit from their governments’ discretionary spending cast more ballots for the incumbent party than those who do not benefit. But contrary to most theories of political accountability, some suggest that voters also reward incumbent parties for implementing “programmatic” spending legislation, over which incumbents have no discretion, and even when passed with support from all major parties. Why voters would attribute responsibility when none exists is unclear, as is why minority party legislators would approve of legislation that would cost them votes. We study the electoral effects of two large prominent programmatic policies that fit the ideal type especially well, with unusually large scale experiments that bring more evidence to bear on this question than has previously been possible. For the first policy, we design and implement ourselves one of the largest randomized social experiments ever. For the second policy, we reanalyze studies that used a large scale randomized experiment and a natural experiment to study the same question but came to opposite conclusions. Using corrected data and improved statistical methods, we show that the evidence from all analyses of both policies is consistent: programmatic policies have no effect on voter support for incumbents. We conclude by discussing how the many other studies in the literature may be interpreted in light of our results.
See Also
- [Dataset] Replication Data for: Do Nonpartisan Programmatic Policies Generate Partisan Electoral Effects? Evidence from Two Large Scale Experiments
- [Paper] A 'Politically Robust' Experimental Design for Public Policy Evaluation, With Application to the Mexican Universal Health Insurance Program (2007)
- [Paper] Matched Pairs and the Future of Cluster-Randomized Experiments: A Rejoinder (2009)
- [Paper] Public Policy for the Poor? A Randomised Assessment of the Mexican Universal Health Insurance Programme (2009)
- [Dataset] Replication Data For: Public Policy for the Poor? A Randomised Assessment of the Mexican Universal Health Insurance Programme (2009)
- [Paper] The Essential Role of Pair Matching in Cluster-Randomized Experiments, With Application to the Mexican Universal Health Insurance Evaluation (2009)
- [Paper] Book Review of `Forecasting Presidential Elections' (1985)
- [Paper] Did Illegal Overseas Absentee Ballots Decide the 2000 U.S. Presidential Election? (2004)