Abstract We investigate the growth effects of financial globalization, giving particular consideration to potential conditionality of these growth effects on the level of a country’s institutional and financial market development. To capture such conditionality, we extend recently developed heterogeneous dynamic panel data models to account for bivariate long-run conditional parameter homogenei...

This paper establishes asymptotic properties of quasi-maximum likelihood estimators for SAR panel data models with fixed effects and SAR disturbances. A direct approach is to estimate all the parameters including the fixed effects. Because of the incidental parameter problem, some parameter estimatorsmay be inconsistent or their distributions are not properly centered. We propose an alternative...

In this paper, we analyse economic development and growth through traditional measures (gross domestic product and human development index) and Data Envelopment Analysis (DEA) in Colombian departments over the period 1993e2007. We use a DEA model to measure and rank economic development and growth from different approaches such as poverty, equality and security. The results show considerable va...

Building upon the work of Chen et al. (2010), this paper proposes a test for sphericity of the variance-covariance matrix in a fixed effects panel data regression model without the normality assumption on the disturbances.

This paper reviews the recent developments in nonparametric identification of measurement error models and their applications in applied microeconomics, in particular, in empirical industrial organization and labor economics. Measurement error models describe mappings from a latent distribution to an observed distribution. The identification and estimation of measurement error models focus on h...

Fast and steady economic growth in China during the 1990s attracted much international attention. Given the scarcity of resources, it is important for economic growth to depend on production efficiency improvement to achieve sustainability. As China is the world’s second largest foreign capital recipient, foreign capital plays an important role in investment. If economic growth is fuelled by in...

This paper presents a convenient shortcut method for implementing the Heckman estimator of the dynamic random effects probit model and other dynamic nonlinear panel data models using standard software. It then compares the estimators proposed by Heckman, Orme and Wooldridge, based on three alternative approximations, first in an empirical model for the probability of unemployment and then in a ...

The primary objective of the paper is to revisit the statistical foundations of panel data modeling with a view to render their probabilistic assumptions testable vis-a-vis the data. This involves (a) recasting the error assumptions in terms of the probabilistic structure of the observable processes underlying the data, (b) specifying panel data models in terms of a complete and internally cons...

Taking a Bayesian perspective on model comparison for crosssectional and static panel data models considerably simplifies the task of selecting an appropriate model. A wide variety of alternative specifications that include various combinations spatial dependence in lagged values of the dependent variable, spatial lags of the explanatory variables, as well as dependence in the model disturbance...