This paper examines the Granger causality between total expenditures, own source revenues, grants received from the State and long-term loans for 12 subgroups of Finnish municipalities. Two panel data sets that cover the years 1985-1992 and 1993-1999 are used in order to compare the effect of...

In this paper, we perform an extensive Monte Carlo study of the finite sample properties of different estimators for panel data sample selection models. The estimators investigated are various two-step estimators and maximum likelihood estimators with simultaneous equations for the samle...

Sorting into public sector jobs may be motivated not only by the available income but also by other aspects, such as stronger demand for security or for social usefulness. The demand for larger job security - beside other factors - can be the consequence of family circumstances. We have...

Sorting into public sector jobs may be motivated not only by the available income but also by other aspects, such as stronger demand for security or for social usefulness. The demand for larger job security - beside other factors - can be the consequence of family circumstances. We have...

Over the past two decades, an enormous amount of work has been done to improve the Expected Utility model. Two areas have attracted major attention: the possibility of describing unforeseen contingencies and the need to accomodate the kind of behavior ref

A new family of kernels is suggested for use in heteroskedasticity and autocorrelation consistent (HAC) and long run variance (LRV) estimation and robust regression testing. The kernels are constructed by taking powers of the Bartlett kernel and are intended to be used with no truncation (or...

Numerous empirical studies have shown evidence of nonlinearities in financial time series, which can be of both a deterministic and a stochastic nature. Chaos is an example of the former, and heteroscedasticity in the conditional variance an example of the latter. We apply a test, the BDS test,...

Separating seasonal components from other sources of economic fluctuations is crucial for both economic modeling and policy making. Practitioners treat seasonality as noise to be removed before estimating models and tend to apply deseasonalizing methods i