We introduce a model for categorical panel data which is tailored to the dynamic evaluation of the impact of job training programs. The model may be seen as an extension of the dynamic logit model and, as such, it allows us to disentangle true from spurious state dependence. The unobserved heterogeneity between subjects is taken into account by formulating the conditional distribution of the re...

This study aims to develop motorcycle ownership and usage models with consideration of the state dependence and heterogeneity effects based on a large-scale questionnaire panel survey on vehicle owners. To account for the independence among alternatives and heterogeneity among individuals, the modeling structure of motorcycle ownership adopts disaggregate choice models considering the multinomi...

This paper reexamines the determinants of firm performance and, in particular, the role that firm size plays in profitability. A fixed-effects dynamic panel data model for over 7,000 US publicly-held firms during the period 1987–2006 provides evidence that profit rates are positively correlated with firm size in a non-linear manner, holding an array of firmand industry-specific characteristics ...

In the present note we demonstrate how to implement the Lee and Yu (2010) procedure for fixed effects spatial panel data models available from the R (R Development Core Team 2012) package splm (Millo and Piras 2012). Additionally, we also show how to compute the impact estimates introduced by Kelejian, Tavlas, and Hondroyiannis (2006) and formalized in LeSage and Pace (2009). Unlike Matlab (MAT...

In this study we develop and test an econometric model for combining choice and preference ratings data collected from the same set of individuals. Choice data are modeled using a multinomial logit framework, while preference data are modeled using an ordered response equation. Individual heterogeneity is allowed for via random coefficients providing a link between the choice and ratings data. ...

the paper examines industrial concentration in iranian food products and beverages industries using firm level data aggregated to the 4-digit isic industry level between 2002 and 2004. based on different concentration indices the average level of concentration has increased slightly for the period of study. the empirical results show that increase in the level of concentration is more likely in...

This paper examines the relationship between various types of corn research and development (R&D) and corn prices in the United States through a fixed effects panel data model. This research explores R&D investment from both nonprofit and for-profit institutions and the effect these have corn prices. In addition, we look at the effect that corresponding exogenous changes in corn prices have on ...

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...