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This paper estimates wage losses arising due to changes in the structure of demand for occupations. The data on occupational changes made for the sake of adjustment to the changes in the demand structure come from the German reunification of 1990. Endogenous occupational changes are instrumented...
Persistent link: https://www.econbiz.de/10009379528
By analyzing occupational task profiles, an occupational change can be split up into two components: (1) transferability of task portfolios between occupations and (2) change in the value of the occupation-employee match. Extending the task-based approach of Gathmann and Schönberg (2009) by...
Persistent link: https://www.econbiz.de/10009379544
We conducted a multi-wave field experiment to study the interaction of peer effects and selfcontrol among undergraduate students. We use a behavioral measure of self-control based on whether students achieve study related goals they have set for themselves. We find that both self-control and the...
Persistent link: https://www.econbiz.de/10010337640
reveal a degenerated string structure. Dynamic Semiparametric Factor Models (DSFM) are tailored to handle complex …
Persistent link: https://www.econbiz.de/10003049397
. We propose a dynamic semiparametric factor model (DSFM), which approximates the IVS in a finite dimensional function …
Persistent link: https://www.econbiz.de/10003036581
policy and productivity information for individual manufacturers from both parts of the country. Using a decomposition … ; Product Policy ; Decomposition ; Transition Economies …
Persistent link: https://www.econbiz.de/10003905583
This paper studies polar sets of anisotropic Gaussian random elds, i.e. sets which a Gaussian random eld does not hit almost surely. The main assumptions are that the eigenvalues of the covariance matrix are bounded from below and that the canonical metric associated with the Gaussian random eld...
Persistent link: https://www.econbiz.de/10003905608
In this article, we present new ideas concerning Non-Gaussian Component Analysis (NGCA). We use the structural assumption that a high-dimensional random vector X can be represented as a sum of two components - a lowdimensional signal S and a noise component N. We show that this assumption...
Persistent link: https://www.econbiz.de/10003973622
In many economic applications it is desirable to make future predictions about the financial status of a company. The focus of predictions is mainly if a company will default or not. A support vector machine (SVM) is one learning method which uses historical data to establish a classification...
Persistent link: https://www.econbiz.de/10003973650
Let a high-dimensional random vector ⃗X can be represented as a sum of two components - a signal ⃗S , which belongs to some low-dimensional subspace S, and a noise component ⃗N . This paper presents a new approach for estimating the subspace S based on the ideas of the Non-Gaussian...
Persistent link: https://www.econbiz.de/10008663366