What determines the risk structure of financial portfolios of German households? In this paper we estimate the determinants of the share of financial wealth invested in three broad risk classes. We employ a new econometric approach - the so called fractional multinomial logit model - which...

This paper proposes a simpleprocedure based on Meta-analysisto test Granger causality relationship betweenvariables in heterogeneous mixed panels.We evaluate the finite sample properties of the causality test based on Meta-analysisthrough Monte Carlo experiments for panels characterized by both...

This paper presents results concerning the performance of both single equation and system panel cointegration tests and estimators. The study considers the tests developed in Pedroni (1999, 2004), Westerlund (2005), Larsson, Lyhagen, and Löthgren (2001) and Breitung (2005); and the estimators...

This article empirically examines the impact of external debt on economic growth in emerging economies from 1990 to 2022, considering the effects of globalization. Using a deductive methodology that combines a comprehensive literature review with econometric analysis, particularly a...

We investigate the factors underlying poverty transitions in Nairobi’s slums focusing on whether differences in characteristics make some individuals more prone to enter poverty and persist in, or whether past experience of poverty matters on future poverty situations. Answers to these issues...

In applied microeconometric panel data analyses, time-constant random effects and first-order Markov chains are the most prevalent structures to account for intertemporal correlations in limited dependent variable models. An example from health economics shows that the addition of a simple...

A concern when estimating the effect of health on labour supply is that health might be endogenous, and in particular that people might use poor health to justify non-participation. This would result in the effect of health being overestimated if health were treated as exogenous. The paper...

We develop a simulated ML method for short-panel estimation of one or more dynamic linear equations, where the dependent variables are only partially observed through ordinal scales. We argue that this latent autoregression (LAR) model is often more appropriate than the usual state-dependence...

We propose a generalized estimating equations approach to the analysis of the mean and the covariance structure of a bivariate time series process of panel data with mixed continuous and discrete dependent variables. The approach is used to jointly analyze wage dynamics and the incidence of...

In this paper we discuss tests for residual cross section dependence in nonlinear panel data models. The tests are based on average pair-wise residual correlation coefficients. In nonlinear models, the definition of the residual is ambiguous and we consider two approaches: deviations of the...