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Data · dataset · 2010

Replication data for: "Does Partisanship Really Matter for the Provision of Welfare Policies?"

Listed in Harvard Dataverse

This paper examines and applies of more advanced modeling methods for the time-series-cross-sectional data by replicating the article by Huo et al. (2008).

Description

We make a claim that the original article’s causal inference is problematic without taking consideration of country-level heterogeneity, even though we agree their defense of not using country dummies: They absorbs the most of variances in the time-invariant or slowly changing factors which are common in institutional analysis, and thus analysts are not able to estimate cross-sectional variances which are great interests of comparative political studies.

Therefore, we propose and apply more advanced method actively measuring cross-country variances. Followed by Beck and Katz (2007) we estimated random coefficient model (RCM) with most typical TSCS data in comparative political studies. By examining a variety of aspects of RCM, we find evidences that the main theoretical arguments in Huo et al. (2008) are not supported.

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Catalogue records · 1

Topics

Inferred from text
Cross-sectional analysis 79%
Provenance · 1 source records, 7 field assertions
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descriptionsource · Harvard Dataverseconnector:dataverse@1.0.0/description
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