We develop a stochastic frontier model with unknown locations and number of structural breaks for both efficiency and technology. The structural changes in technology and efficiency are different. It is possible to identify these two types of changes even under a short panel context. The algorithm to estimate the model is designed to avoid the potential pitfalls with panel data. Parallel comput...

This paper estimates demand for Internet portals using a clickstream data panel of 2654 users. It shows that familiar econometric methodologies used to study grocery store scanner data can be applied to analyze advertising-supported Internet markets using clickstream data. In particular, it applies the methodology of Guadagni and Little (1983) to better understand households’ Internet portal ch...

This paper analyses the relationship between female labour market participation and mortgage commitments in a life-cycle set up. In particular, it examines whether a mortgage qualification constraint has any effect on female labour market participation. This is done by conditioning on the mortgage decision in a labour market participation equation for married women. Endogeneity of the mortgage ...

Measurement error causes a downward bias when estimating a panel data linear regression model. The panel data context offers various opportunities to derive moment conditions that result in consistent GMM estimators. We consider three sources of moment conditions: (i) restrictions on the intertemporal covariance matrix of the errors in the equations, (ii) heteroskedasticity and nonlinearity in ...

This paper investigates the differences in the matching process of job seekers and vacancies to be filled between different educational and occupational groups. To investigate this issue, matching functions are estimated across different occupations and educational cohorts, that is, on an even lower level of aggregation than previously investigated in the literature, and along different dimensi...

For spatial data with a suffi ciently long time dimension, the concept of global cointegration has been recently included in the econometrics research agenda. Global cointegration arises when non-stationary time series are cointegrated both within and between spatial units. In this paper, we analyze the role of globally cointegrated variable relationships using German regional data (NUTS 1 leve...

Information and Learning in Oligopoly: An Experiment This paper presents an experiment on learning in repeated games, which complements the analysis of players’ actual choices with data on the information acquisition process they follow. Subjects play a repeated Cournot oligopoly, with limited a priori information. The econometrics hinges on a model built upon Experience Weighted Attraction lea...

Health Care Expenditure and Income in the OECD Reconsidered: Evidence from Panel Data This paper reconsiders the long-run economic relationship between health care expenditure and income using a panel of 20 OECD countries observed over the period 1971-2004. In particular, the paper studies the non-stationarity and cointegration properties between health care spending and income. This is done in...

For spatial data with a suffi ciently long time dimension, the concept of global cointegration has been recently included in the econometrics research agenda. Global cointegration arises when non-stationary time series are cointegrated both within and between spatial units. In this paper, we analyze the role of globally cointegrated variable relationships using German regional data (NUTS 1 leve...

The Journal of Economic Literature codes classification system (JEL) published by the American Association (AEA) is de facto standard for research literature in economics. JEL used to classify articles, dissertations, books, book reviews, and working papers EconLit, a database maintained AEA. Over time, it has evolved extended with over 850 subclasses. This paper reviews history development sys...