splm is an R package for estimating and testing various spatial panel data specifications. We consider the implementation of both maximum likelihood and generalized moments estimators in the context of fixed as well as random effects spatial panel data models. This paper is a general description of splm and all functionalities are illustrated by application to Munnel (1990) data on 48 US States...

The paper shows that poor identifiability of parameters can arise in the context of linear panel data model with random effects and autocorrelated disturbances. This causes problems when estimating the model by (Gaussian) maximum likelihood. Corner solutions occur quite frequently for the variance of the random effects, with a consequent bimodal distribution of the other variance and of the aut...

Unemployment Persistence: How Important Are Non-Cognitive Skills? Using a random effects dynamic panel data model and the 2000-2008 waves of the German SOEP this paper shows that non-cognitive skills have a predictive power on unemployment transitions. JEL Classification: C33, J64

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...

In this paper, we examine the specification tests which have been proposed for fixed effects in binary panel data model, using several different data generating processes to evaluate the performance of the specification test in different situations. By simulations, we find the specification test based on moment conditions is able to outperform the Lagrange multiplier test proposed by Gurmu (199...

This paper tests pair-wise causal relationships between uncertainty, returns and investment using unbalanced panel data of the 13 insurance companies listed in the KSE for the period from 1996 to 2008. Volatility of returns from the daily stock was measured using the GARCH (p, q) for appropriate values of p and q. The study applied panel data models in the lines of common constants, fixed effec...

In panel data, individuals (persons, firms, cities, ... ) are observed at several points in time (days, years, before and after treatment, ...). This handout focuses on panels with relatively few time periods (small T ) and many individuals (large N). This handout introduces the two basic models for the analysis of panel data, the fixed effects model and the random effects model, and presents c...

Science is increasingly produced in collaborative teams, but collaborative teams in science are self-assembled and fluid. Such characteristics call for a network approach to account for external activities responsible for team product but taking place beyond closed team boundaries in the open network. Given such characteristics of collaborative teams in science, we empirically test the interdep...

This paper estimates peer effects on student achievement using a panel data set obtained from a middle school in China. Two unique features of the organization of Chinese middle schools (Grades 7 to 9) and the panel data allow us to identify peer effects at classroom level; in particular, we are able to overcome difficulties that have hindered the separation of peer effects from omitted individ...