Search

In this paper, we discuss a model for pseudo-panel data when some but not all of the individuals stay in the sample for more than one period. We use data on the labor market of the Basque Country from 1993 to 1999 treated through FORTRAN 77 programing. We construct economically reasonable age cohorts for active population and use gender, qualification and social status as explanatory variables in our model. Given the class of data we use, we analyze the properties of the random error and estimate the model through maximum likelihood, finding significant results from an applied point of view. [ABSTRACT FROM AUTHOR]

Statistics for small areas within larger regions are recently required for many economic variables. However, when adding the estimates of the small areas within the larger regions, the results do not match up to those obtained with the appropriate estimator originally derived for the larger region. To avoid discrepancies between estimates benchmarking methods are commonly used in practice. In this paper, we discuss the suitability of using a restricted predictor versus a traditional direct calibrated estimator. The results are illustrated with the 2000 Business Survey of the Basque Country, Spain. [ABSTRACT FROM AUTHOR]