Modeling pavement performance by combining field and experimental data The accurate prediction of pavement performance is important for efficient management of the surface transportation infrastructure. By reducing the error of the pavement deterioration prediction, agencies can obtain significant budget savings through timely intervention and accurate planning. The goal of this research was to...

In this paper, the historical trend of urban growth and the associated drivers were examined through econometric analysis for the rapidly growing Grafton area in the State of Wisconsin. Specifically, panel data analysis was carried out to examine the drivers of urban growth such as demographic factors, location of jobs, travel time, housing types, property values, etc. Results reveal that panel...

We analyze a model of wage payment practices in which strategic complementarities arise because each employer’s costs of delaying wages decrease with the arrears in its labor market. The model is estimated on panel data for workers and firms in Russia, facilitating identification through fixed effects for employees, employers, and local labor markets, and instrumental variables based on policy ...

Student achievement has been identified as an important contributor to economic growth. This paper investigates the hypothesis that redistributive government activities have a negative effect on investment in human capital using data from international comparative student achievement tests in Mathematics and Science for over 70 countries during the period 1980 to 2003. In fixed effects models, ...

This paper examines the effects of both permanent and temporary emigration on human capital formation and economic growth of the source regions. To achieve this end, this paper explores the Chinese provincial panel data from 1980 to 2005. First, the fixed effects model is employed to estimate the effect of emigration on school enrollment rates in the source regions. Relative to this aspect, we ...

This paper investigates whether firms innovate persistently or discontinuously over time using an innovation panel data set on German manufacturing and service firms for the period 1994–2002. We find that innovation behaviour is permanent at the firm–level to a very large extent. Using a dynamic random effects discrete choice model and a new estimator recently proposed by Wooldrigde (2005), we ...

Subjective Well-Being and the Family: Results from an Ordered Probit Model with Multiple Random Effects The previous literature on the determinants of individual well-being has failed to fully account for the interdependencies in well-being at the family level. This paper develops an ordered probit model with multiple random effects that allows to identify the intrafamily correlation in well-be...

Using an individual panel data set to control for student fixed effects, we estimate the impact of charter schools on students in charter schools and in nearby traditional public schools. We find that students make considerably smaller achievement gains in charter schools than they would have in public schools. The large negative estimates of the effects of attending a charter schools are neith...

This paper surveys panel data methods for count dependent variable that takes nonnegative integer values, such as number of doctor visits. The focus is on short panels, as the literature has concentrated on this case. The survey covers both static and dynamic models with random and fixed effects. The paper surveys quasi-ML methods based on the Poisson, as well as richer more parametric models n...

This paper empirically tests the effects of Anti-Dumping (AD) protection on the price-cost margin of firms. To this end, we use a rich panel data set of 1,666 EU producers that were involved in AD cases initiated in 1996. Our findings indicate that price-cost margins in most cases significantly increase in the period of protection compared to a period before protection. In industries where comp...