This paper analyses the factors affecting the price level of Hungarian residential real estate using individual sales data. We focus on the role of the location of the property. We show that geographical factors are relevant in explaining housing prices using traditional type groups constructed...

The aim of this paper is to investigate how the spatial equilibrium model applies to Hungary. For this we create a new database on modified micro-regional level between 2001 and 2014 with real estate/property market, labor market, regional and demographical data. We use this database to answer...

This paper analyses the factors affecting the price level of Hungarian residential real estate using individual sales data. We focus on the role of the location of the property. We show that geographical factors are relevant in explaining housing prices using traditional type groups constructed...

The aim of this paper is to investigate how the spatial equilibrium model applies to Hungary. For this we create a new database on modified micro-regional level between 2001 and 2014 with real estate/property market, labor market, regional and demographical data. We use this database to answer...

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,...

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...

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...