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...

I discuss the application of capture-recapture methods to estimating the total number of deaths in armed conflicts, and propose an alternative method based on a trivariate discrete choice model. Data come from the 'Truth and Reconciliation Commission' (TRC) of Peru, around 25000 deaths,...

This paper analyzes the linkages between governance quality and country stress events. It focuses on two types of events: fiscal and political stress events, for which two innovative stress indicators are introduced. The results suggest that weaker governance quality is associated with a higher...

The paper asks how state of the art DSGE models that account for the conditional response of hours following a positive neutral technology shock compare in a marginal likelihood race. To that end we construct and estimate several competing small-scale DSGE models that extend the standard real...

This paper suggests a new approach to econometrically estimate parameters of multi-level Constant Elasticity of Transformation (CET) functional forms which are widely used in developing Computable General Equilibrium (CGE) models. An illustrative CET functional form is estimated using the...

This paper makes three contributions to the existing literature. First, it provides descriptive evidence on gender differentials by education level in the US labor market over the last twenty years. Second, it uses the structural estimation of a search model of the labor market to identify and...

In conditionally heteroskedastic models, the optimal prediction of powers, or logarithms, of the absolute value has a simple expression in terms of the volatility and an expectation involving the independent process. A natural procedure for estimating this prediction is to estimate the...

This paper describes the process of ML-estimating of the equity correlations which can be used as proxies for asset correlations. In a Gaussian framework the ML-estimators are given in closed form. On this basis the impact of the Lehman’s collapse on the dynamics of correlations is...