Showing 1 - 6 of 6
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
Persistent link: https://www.econbiz.de/10005510108
By far, the most popular test for spatial correlation is the one based on Moran's (1950) I test statistic. Despite this, the available results in the literature concerning the large sample distribution of this statistic are limited and have been derived under assumptions that do not cover many...
Persistent link: https://www.econbiz.de/10005241852
In the wake of regulatory, information technology and methodological changes, statistical property valuation has been gaining traction in Hungary. This paper looks at the available methods of appraisal based on the literature. We provide an overview of the advantages and drawbacks of the...
Persistent link: https://www.econbiz.de/10011944894
In the wake of regulatory, information technology and methodological changes, statistical property valuation has been gaining traction in Hungary. This paper looks at the available methods of appraisal based on the literature. We provide an overview of the advantages and drawbacks of the...
Persistent link: https://www.econbiz.de/10011562772
In this study standard Mincer earnings equations are estimated using both ordinary least squares (OLS) and quantile regression in order to give a comprehensive picture of the returns to education in Germany and Hungary for the year 2000. To make the cross-country comparison of the returns to...
Persistent link: https://www.econbiz.de/10005242969
Using village date from Tanzania, we test whether gifts and loans between households are voluntary while correcting for mis-reporting by the giving and receiving households. Tow maintained assumptions underlie our analysis: answers to a question on who people would turn to for help are good...
Persistent link: https://www.econbiz.de/10009642406