This paper evaluates the role of regional cluster composition in the economic performance of industries, clusters and regions. On the one hand, diminishing returns to specialization in a location can result in a convergence effect: the growth rate of an industry within a region may be declining...

Can some acts of violence be explained by a society's quot;culturequot;? Scholars have found it hard to empirically disentangle the effects of culture, legal institutions, and poverty in driving violence. We address this problem by exploiting a natural experiment offered by the presence of...

We use remarkable population-level administrative education and birth records from Florida to study the role of Long-Term Orientation on the educational attainment of immigrant students living in the US. Controlling for the quality of schools and individual characteristics, students from...

This article discusses the importance of accounting for cultural values and beliefs when studying the process of historical economic development. A notion of culture as heuristics or rules-of-thumb that aid in decision making is described. Because cultural traits evolve based upon relative...

We establish an inverse relationship between family ties and political participation, such that the more individuals rely on the family as a provider of services, insurance, transfer of resources, the lower is one's civic engagment and political participation. We also show that strong family...

We analyze different disability policy strategies using policy scores developed by the OECD for the period 1990 to 2007. Applying model-based and hierarchical agglomerative clustering, we investigate the existence of distinct country clusters, characterized by particular policy combinations. In...

Clusters are geographic concentrations of industries related by knowledge, skills, inputs, demand, and/or other linkages. A growing body of empirical literature has shown the positive impact of clusters on regional and industry performance, including job creation, patenting, and new business...

In this paper we propose a new variance estimator for OLS as well as for nonlinear estimators such as logit, probit and GMM, that provcides cluster-robust inference when there is two-way or multi-way clustering that is non-nested. The variance estimator extends the standard cluster-robust...

Researchers have increasingly realized the need to account for within-group dependence in estimating standard errors of regression parameter estimates. The usual solution is to calculate cluster-robust standard errors that permit heteroskedasticity and within-cluster error correlation, but...