Model Uncertainty in Sociological Research: An Application to Religion and Economic Growth

By Cristobal Young. 2009

145 citations recorded by the source corpus.

Subfields: Demography, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/aace61462b7ab3d3330cd341b2d34d98062cdd87

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Demography

1. Charles Varner
2. Cristobal Young

In Sociology and Political Science

1. Charles Varner
2. Cristobal Young

Citations in the corpus

• The Rise of the Nation-State across the World, 1816 to 2001 (2010, unknown): “Context can be transformed into cause by using dummy variables that indicate whether a group of cases or a particular time period differs from the rest (Collier and Mazzuca 2006) or by using subsample analysis (Young 2009).”
• Cross‐Country Determinants of Early‐Stage Necessity and Opportunity‐Motivated Entrepreneurship: Accounting for Model Uncertainty (2018, unknown): “Such empirical heterogeneity, also known as model uncertainty, presents one of the biggest challenges for applied research (Durlauf et al. 2012; Glaeser 2008, Young 2009, Young and Holsteen 2015).”
• MILLIONAIRE MIGRATION AND STATE TAXATION OF TOP INCOMES: EVIDENCE FROM A NATURAL EXPERIMENT (2011, background): “Most states showed very small changes (either increases or decreases) in their top marginal rates — and Figure 2 excludes the 18 states that had no change at all.”