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Family background variables as instruments for education in income regressions : a Bayesian analysis
Hoogerheide, Lennart; Block, Jörn; Thurik, Adriaan R. - 2010 - Current version: July 2010
The validity of family background variables instrumenting education in income regressions has been much criticized. In this paper, we use data of the 2004 German Socio-Economic Panel and Bayesian analysis in order to analyze to what degree violations of the strong validity assumption affect the...
Persistent link: https://www.econbiz.de/10011381026
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Family Background Variables as Instruments for Education in Income Regressions : A Bayesian Analysis
Hoogerheide, Lennart F.; Block, Jorn H.; Thurik, Roy - 2013
The validity of family background variables instrumenting education in income regressions has been much criticized. In this paper, we use data from the 2004 German Socio-Economic Panel and Bayesian analysis to analyze to what degree violations of the strict validity assumption affect the...
Persistent link: https://www.econbiz.de/10014192450
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Cost drivers of operation charges and variation over time : an analysis based on semiparametric SUR models
Brunauer, Wolfgang; Keiler, Sebastian; Lang, Stefan - 2010
Although building operating charges have turned out to be a major determinant of profitability for real estate investments, there is a noticeable lack of reports or studies that analyze these costs with state-of-the-art statistical techniques. Specifically, past studies usually assume linear...
Persistent link: https://www.econbiz.de/10009736614
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Cost drivers of operation charges and variation over time : an analysis based on semiparametric SUR models
Brunauer, Wolfgang; Keiler, Sebastian; Lang, Stefan - 2010
Persistent link: https://www.econbiz.de/10008658099
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The bayesian additive classification tree applied to credit risk modelling
Zhang, Junni L. (contributor); Härdle, Wolfgang (contributor) - 2008
important for banks to construct their risk profile and operate successfully. We use the German Creditreform database and …
Persistent link: https://www.econbiz.de/10003635971
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Nonparametric estimation of risk-neutral densities
Grith, Maria; Härdle, Wolfgang; Schienle, Melanie - 2010
This chapter deals with nonparametric estimation of the risk neutral density. We present three different approaches … of the risk neutral density. The first estimator is a kernel smoother of the second derivative of call prices, while the … we assume the existence of a stochastic discount factor (pricing kernel) which establishes the risk neutral density …
Persistent link: https://www.econbiz.de/10003953034
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Family Background Variables as Instruments for Education in Income Regressions: A Bayesian Analysis
Hoogerheide, Lennart; Block, Joern H.; Thurik, Roy - 2010
The validity of family background variables instrumenting education in income regressions has been much criticized. In this paper, we use data of the 2004 German Socio-Economic Panel and Bayesian analysis in order to analyze to what degree violations of the strong validity assumption affect the...
Persistent link: https://www.econbiz.de/10010326044
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Cost Drivers of Operation Charges and Variation over Time: An Analysis Based on Semiparametric SUR Models
Brunauer, Wolfgang A.; Keiler, Sebastian; Lang, Stefan - 2010
Although building operating charges have turned out to be a major determinant of profitability for real estate investments, there is a noticeable lack of reports or studies that analyze these costs with state-of-the-art statistical techniques. Specifically, past studies usually assume linear...
Persistent link: https://www.econbiz.de/10010294836
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The bayesian additive classification tree applied to credit risk modelling
Zhang, Junni L.; Härdle, Wolfgang Karl - 2008
important for banks to construct their risk profile and operate successfully. We use the German Creditreform database and …
Persistent link: https://www.econbiz.de/10010274137
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Semiparametric Approaches to the Prediction of Conditional Correlation Matrices in Finance
Herwartz, Helmut; Golosnoy, Vasyl - 2007
We consider the problem of ex-ante forecasting conditional correlation patterns using ultra high frequency data. Flexible semiparametric predictors referring to the class of dynamic panel and dynamic factor models are adopted for daily forecasts. The parsimonious set up of our approach allows to...
Persistent link: https://www.econbiz.de/10010296287