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...

The paper uses data from a large representative survey of Hungarian higher education graduates (DPR 2010) to study the early labour market effects of field of study and college quality. Propensity score matching average treatment effect method is used to reveal the effect of the field of study,...

The paper uses data from a large representative survey of Hungarian higher education graduates (DPR 2010) to study the early labour market effects of field of study and college quality. Propensity score matching average treatment effect method is used to reveal the effect of the field of study,...

This paper applies revealed preference theory to the nonparametric statistical analysis of consumer demand. Knowledge of expansion paths is shown to improve the power of nonparametric tests of revealed preference. The tightest bounds on indifference surfaces and welfare measures are derived...

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