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

Using firm-level and individual panel data from 2008-2009, the paper looks at how Hungarian firms combined employment reduction with "softer" measures like short-work and wage cuts, in response to the crisis. The data suggest that the wage distribution remained practically unchanged while hours...

Using firm-level and individual panel data from 2008-2009, the paper looks at how Hungarian firms combined employment reduction with "softer" measures like short-work and wage cuts, in response to the crisis. The data suggest that the wage distribution remained practically unchanged while hours...

The study aims to revisit some of the macroeconomic issues related to Hungary's eurozone-accession. The government postponed euro-adoption until 2020 without any explanation, which is one of the motivations of our analysis. We review the arguments formulated in 2000-2004 regarding the adoption...

The study aims to revisit some of the macroeconomic issues related to Hungary's eurozone-accession. The government postponed euro-adoption until 2020 without any explanation, which is one of the motivations of our analysis. We review the arguments formulated in 2000-2004 regarding the adoption...

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,...