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Principal Investigator(s): Box-Steffensmeier, Janet M., Ohio State University; Lin, Tse-Min, Ohio State University
In contrast to conventional studies on campaign finance, which focus on the aggregate effect of money on the vote, we propose a more general dynamic model based on temporally disaggregated data. The model is supported by the substantive understanding that at different stages of the campaign process candidates have different goals, and their expenditures should have different effects on the final election outcome. Using Achen's (1986) framework of quasi-experiments, the model includes dynamic "assignment equations" and "outcome equations," which address the problem of nonrandom assignment. A final vote equation is derived in which the coefficients of period-specific incumbent expenditures are constrained by an Almon polynomial. Empirical estimation provide evidence for a three-stage dynamic process.
These data are flagged as replication datasets and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.
These data are freely available.
Box-Steffensmeier, Janet M., and Tse-Min Lin. Dynamic Model of Campaign Spending in Congressional Elections. ICPSR01120-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 1996-12-03. http://doi.org/10.3886/ICPSR01120.v1
Persistent URL: http://doi.org/10.3886/ICPSR01120.v1
Scope of Study
Geographic Coverage: United States
Data Collection Notes:
(1) Files submitted include BOX.SAV, an SPSS data file used for the article, and CODEBOOK.WP, which consists of a definition of variables, SPSS transformations, and relevant data tables. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.
Original ICPSR Release: 1996-12-03
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