This note looks at estimation of spatial autoregressive models for non-negative and count outcomes with multiplicative fixed effects. We show that in presence of significant proportion of zeros in the count variable, control function and Instrumental Variable estimation to model such spatial...

This note looks at estimation of count models with multiplicative fixed effects and spatial dependence in the form of spatial lag autocorrelation. We show that in presence of significant proportion of zeros in the count variable, control function estimation to model such spatial dependence is...

This paper uses a harmonized dataset of annual nightlight to predict district-level GDP for the 64 districts of Bangladesh over the period 1992-2020. The premise of the paper originates from the work of Henderson et al. (2012), who assert that a simple constant elasticity relationship...

We propose a new approach for the efficient and robust Bayesian estimation of medium- and large-scale DSGE models with occasionally binding constraints. At its core lies the Ensemble Kalman filter, a novel nonlinear recursive filter, which allows for fast likelihood approximations even for...

Border procedures around the globe can act as barriers hindering international trade. Another impact of these procedures relates to their economic resource costs. In this study, using a microeconomic framework of international trade, the potential economic gains are estimated for reductions in...