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A Framework for Unifying Formal and Empirical Analysis

Bibliographic Data

ID6231201
AuthorsJim Granato (University of Houston), Melody Lo (0000-0002-7602-3116, The University of Texas at San Antonio), M C Sunny Wong (0000-0002-1342-4318, University of San Francisco)
Year2010
Volume54
Issue3
Pages783-797
Publication date2010-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Political Science (JOURNAL)
Journal identifiersISSN: 0092-5853 • E-ISSN: 1540-5907
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1540-5907.2010.00460.x
OpenAlexW1901043231
LanguageEN
Citations received14
References cited61

An important disconnect exists between the current use of formal modeling and applied statistical analysis. In general, a lack of linkage between the two can produce statistically significant parameters of ambiguous origin that, in turn, fail to assist in falsifying theories and hypotheses. To address this scientific challenge, a framework for unification is proposed. Methodological unification leverages the mutually reinforcing properties of formal and applied statistical analysis to produce greater transparency in relating theory to test. This framework for methodological unification, or what has been referred to as the empirical implications of theoretical models (EITM), includes (1) connecting behavioral (formal) and applied statistical concepts, (2) developing behavioral (formal) and applied statistical analogues of these concepts, and (3) linking and evaluating the behavioral (formal) and applied statistical analogues. The elements of this EITM framework are illustrated with examples from voting behavior, macroeconomic policy and outcomes, and political turnout

Computer security · Econometrics · Economics · Empirical research · Epistemology · Formal methods · Linkage (software · Management science · Political science · Politics · Positive economics · Programming language · Software engineering · Statistical analysis · Statistical hypothesis testing · Statistics · Theory · Transparency (behavior · Unification · Voting · Complex Systems and Time Series Analysis · Computer Science · Market Dynamics and Volatility · Mathematics · Monetary Policy and Economic Impact

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Unique citing works14
Citations per year0,93
Citation span2011 - 2021 (11)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 14

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