This paper explores the properties of pre-test strategies in estimating a linear Cliff-Ord-type spatial model when the researcher is unsure about the nature of the spatial dependence. More specifically, the paper explores the finite sample properties of the pre-test estimators introduced in...

This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial coefficients differ across the spatial units. It derives conditions under which the spatial coefficients are identified and develops a quasi maximum likelihood (QML) estimation...

The paper proposes a simple and innovative methodology for measuring the incidence of gambling expenditure in countries for which household survey data is unavailable or unreliable. A first application of this methodology is presented by merging data on the geographical location of gambling...

Many countries operate pronounced fiscal equalization schemes that shift tax revenue across jurisdictions. We use a general equilibrium model with multiple asymmetric regions, costly trade and labor mobility to carve out the aggregate implications of this policy. Calibrating the model for...

This paper analyzes the relationship between spatial mobility and social mobility. It develops a two-skill-type spatial equilibrium model of two regions with location preferences where each region consists of an urban area which is home to workplaces and residences and an exclusively residential...

Cross-country regressions suggest that urbanization and FDI are important drivers of growth. However, it is not clear that primacy eventually hurts growth performance. Since it is tough to interpret cross-country growth regressions, we provide detailed evidence on the determinants of outward FDI...

We use a public referendum on a new air traffic concept in Berlin, Germany as a natural experiment to analyze how the interaction of tenure and capitalization effects shapes the outcome of direct democracy processes. We distinguish between homevoters, i.e., voters who are homeowners, and...

This paper proposes a generalized panel data model with random effects and first-order spatially autocorrelated residuals that encompasses two previously suggested specifications. The first one is described in Anselin’s (1988) book and the second one by Kapoor, Kelejian, and Prucha (2007). Our...

Assumptions about explanatory variables and errors are central in regression analysis. For example, the well-known method of ordinary least squares yields consistent and efficient estimators if the underlying error terms are independently, identically, and normally distributed. Additionally, the...

Education policy-makers and practitioners want to know which policies and practices can best achieve their goals. But research that can inform evidence-based policy often requires complex methods to distinguish causation from accidental association. Avoiding econometric jargon and technical...