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Michael Peress

Researcher at Stony Brook University

Publications -  31
Citations -  750

Michael Peress is an academic researcher from Stony Brook University. The author has contributed to research in topics: Politics & Approval voting. The author has an hindex of 13, co-authored 31 publications receiving 652 citations. Previous affiliations of Michael Peress include University of Rochester & American Political Science Association.

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Benchmarking across Borders: Electoral Accountability and the Necessity of Comparison

TL;DR: This paper showed that voters hold incumbents more electorally accountable for the domestic than for the international component of growth, and that the effect of benchmarked growth exceeds that of aggregate national growth by up to a factor of two and outstrips the international components of growth by an even larger margin, implying that previous research may have underestimated the strength of the economy on the vote.
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Request Fulfilling: When Citizens Demand Clientelist Benefits:

TL;DR: The traditional accounts of clientelism typically focused on patron-client relations with minimal scope for citizen autonomy as discussed by the authors, and despite the heightened agency of many contemporary citizens, most studies c...
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Correcting for Survey Nonresponse Using Variable Response Propensity

TL;DR: This paper developed an approach for correcting non-ignorable nonresponse bias in surveys with less than full response bias, which can be classified by their response propensity, including the number of attempted phone calls, indicators of temporary refusal, and interviewer-coded measures of cooperativeness.
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Estimating Proposal and Status Quo Locations Using Voting and Cosponsorship Data

TL;DR: The authors proposed a method of directly measuring ideal points, proposal locations, and status quo locations on the same scale, by employing a combination of voting data, bill and amendment cosponsorship data, and the congressional record.
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Targeting Political Advertising on Television

TL;DR: In this paper, the targeting of political advertising by congressional candidates on television was studied and it was shown that for targeted advertising to have value, the audiences for television programs must differ in mean.