Latin American countries have lost competitiveness in world markets in comparison to China over the last two decades. The main purpose of this study is to examine the causes of this development. To this end an augmented Dornbusch-type Ricardian model is estimated using panel data. The...

In the paper dynamic gravity models are estimated for the agricultural trade of six new EU Member States (the Czech Republic, Latvia, Lithuania, Romania, Slovakia, and Slovenia) with selected countries and trade groupings between 1996 and 2005. In general, we find low income elasticities and...

This paper presents a generalized moments (GM) approach to estimating an R-th order spatial regressive process in a panel data error component model. We derive moment conditions to estimate the parameters of the higher order spatial regressive process and the optimal weighting matrix required to...

Understanding adjustment processes has become central in economics. Empirical analysis is fraught with the problem that the target is usually unobserved. This paper develops, simulates and applies GMM methods for estimating dynamic adjustment models in a panel data context with partially...

Following a positive shock, financing constraints will prolong or impede economic expansion that would have been optimal in an unconstrained environment. The study of dynamic adjustment therefore offers a direct way of verifying the presence of financing constraints and assessing their...

This study explores the prevalence and nature of the regional divide for the Mexican manufacturing production across sub-national regions. We utilize a unique panel of municipality-level data from the manufacturing sector. An important contribution is the use of different panel methods to...

Latin American countries have lost competitiveness in world markets in comparison to China over the last two decades. The main purpose of this study is to examine the causes of this development. To this end an augmented Dornbusch-type “Ricardian” model is estimated using panel data. The...