2015
DOI: 10.1080/13501763.2015.1091030
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Panel data analysis and partisan variables: how periodization does influence partisan effects

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Cited by 86 publications
(96 citation statements)
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“…For both welfare generosity and deregulation, cabinets (rather than countryyears) are the more suitable temporal and substantial units of analysis because the preferences of political parties are expected to gain effectiveness within governmental periods (see Schmitt, 2015). Hence, we use cabinets as our unit of analysis.…”
Section: Dependent Variablesmentioning
confidence: 99%
“…For both welfare generosity and deregulation, cabinets (rather than countryyears) are the more suitable temporal and substantial units of analysis because the preferences of political parties are expected to gain effectiveness within governmental periods (see Schmitt, 2015). Hence, we use cabinets as our unit of analysis.…”
Section: Dependent Variablesmentioning
confidence: 99%
“…When the country-year is employed as the unit of analysis, the dataset has a TSCS format, which is the standard tool on which comparative policy scholars base their analyses (Schmitt 2016). In each set, we test in separate regressions the influence of leftist, liberal and green party families, on the one hand, and conservative, religious and right-wing party families, on the other.…”
Section: Methodological Approachmentioning
confidence: 99%
“…Accordingly, recent research has argued that a focus on cabinets or government terms, instead of country-years, is a more suitable choice when testing for party effects (Schmitt 2016). Yet this dominant approach of relying on country-years comes along with a range of theoretical problems.…”
Section: Why the Unit Of Analysis We Choose Affects The Answers We Getmentioning
confidence: 99%
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