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

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...

We start out from the hypothesis that limited government leads to low uncertainty and low transaction costs. If political institutions affect the degree of uncertainty and transaction costs, we formally show they should affect the steady state level of income per capita. The impact of...

Our paper examines the possible role of enterprise surveys in the forecasting of labour market processes. Based on two enterprise surveys with large samples we examine to what extent are enterprises, differing in their size, sales revenues, ownership structure and markets, capable to predict...

The study was prepared in the framework of the "Priority Project TÁMOP - 2.3.2-09/1: Establishing labour market forecasts and foreseeing structural changes". It presents a comprehensive overview of labour market forecasting activities, mostly quantitative, based on multi-sector models, in 12...