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Models of Comparative State Politics

A Comparison of Cross-Sectional and Time Series Analyses

Bibliographic Data

ID6231682
AuthorsVirginia Gray (0000-0002-3914-0145, corresponding author)
Year1976
Volume20
Issue2
Pages235
Publication date1976-05-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Political Science (JOURNAL)
Journal identifiersISSN: 0092-5853 • E-ISSN: 1540-5907
PublisherJSTOR (PUBLISHER)
DOI10.2307/2110643
OpenAlexW2321263272
LanguageEN
Citations received61
References cited7

The purpose of this study is to determine if cross-sectional analyses of interstate policy variation are adequate for explaining the dynamic policy process. Two models, competitive threat and economic resources, are developed, and each is then evaluated across time and across states by multiple regression analysis. The policy dependent variables are measured at the state level: per capita welfare expenditures, welfare expenditures as a proportion of the budget, welfare effort, number of welfare recipients, percent of the budget devoted to education, education effort, and education expenditures per pupil in average daily attendance. The models usually explain more variance in the time series data than in the cross-sectional data. Time series analysis produces several differences of substantive interest, where the inference from time series analysis is the opposite of the inference from cross-section analysis. It is suggested that time series analysis may be theoretically more appropriate in most cases than cross-state analysis

Attendance · Cross-sectional data · Econometrics · Economic growth · Economics · Inference · Per capita · Regression analysis · Series (stratigraphy · Statistics · Time series · Variance (accounting · Welfare · Computer Science · Demography · Electoral Systems and Political Participation · Mathematics

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Unique citing works61
Citations per year1,24
Citation span1977 - 2022 (46)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 60

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