We analyze the growth effects over space arising from the adoption of new agricultural technology in a rural-urban setting. We use a dynamic model to study the impacts of technology and learning on the steady state growth rates of rural and urban regions that produce agricultural goods. New...

We analyze the growth effects over space arising from the adoption of new agricultural technology in a rural-urban setting. We use a dynamic model to study the impacts of technology and learning on the steady state growth rates of rural and urban regions that produce agricultural goods. New...

This paper resulted in a publication in the <I>Journal of Econometrics</I> (2014). Volume 180, pages 127-140.<P> An exact maximum likelihood method is developed for the estimation of parameters in a nonlinear non-Gaussian dynamic panel data model with unobserved random individual-specific and time-varying...</p></i>

This paper addresses heterogeneity in determinants of economic growth in a data-driven way. Instead of defining groups of countries with different growth characteristics a priori, based on, for example, geographical location, we use a finite mixture panel model and endogenous clustering to...

This paper contributes to the productivity literature by using results from firm-level productivity studies to improve forecasts of macro-level productivity growth. The paper employs current research methods on estimating firm-level productivity to build times-series components that capture the...

This paper addresses the timing of a location's historical transition from rural to urban activity. We test whether urbanization occurs sooner in places with higher agricultural potential and comparatively lower transport costs, using worldwide data that divide the earth's surface at half-degree...