Showing 1 - 10 of 48
We test potential social costs of educational inequality by analysing the influence of spatial and social segregation on educational achievements. In particular, based on recent PISA data sets from the UK and Germany, we investigate whether good neighbourhoods with a relatively high stock of...
Persistent link: https://www.econbiz.de/10004976888
methods developed in Galichon and Salanié (2014), this paper proposes a new identification strategy for hedonic models in a …
Persistent link: https://www.econbiz.de/10011105071
using market wages. This approach implies a fundamental identification problem. We demonstrate that the identification …
Persistent link: https://www.econbiz.de/10011268327
, such as preferences, technology and decision processes. We discuss sources of identification for the social multiplier as …
Persistent link: https://www.econbiz.de/10011196642
causal parameters from their identification. He showed that causal parameters are de fined using hypothetical models that …-calculus of Pearl in securing identification of economic models. We extend our framework to consider models for simultaneous …
Persistent link: https://www.econbiz.de/10010766377
identification of average treatment effects on hazard rates without model structure. We estimate these effects by kernel hazard …
Persistent link: https://www.econbiz.de/10010959649
Rising wage inequality in the U.S. and Britain (especially in the 1980s) and rising continental European unemployment (with rather stable wage inequality) have led to a popular view in the economics profession that these two phenomena are related to negative relative demand shocks against the...
Persistent link: https://www.econbiz.de/10005763538
This paper joins discussions on normalized regression and decomposition equations in devising a simple and general algorithm for obtaining the normalized regression and applying it to the Oaxaca decomposition. This resolves the invariance problem in the detailed Oaxaca decomposition. An...
Persistent link: https://www.econbiz.de/10005763551
I demonstrate that Ai and Norton’s (2003) point about cross differences is not relevant for the estimation of the treatment effect in nonlinear “difference-in-differences” models such as probit, logit or tobit, because the cross difference is not equal to the treatment effect, which is the...
Persistent link: https://www.econbiz.de/10005763552
We argue that using wage data alone, it is virtually impossible to identify whether Assortative Matching between worker and firm types is positive or negative. In standard competitive matching models the wages are determined by the marginal contribution of a worker, and the marginal contribution...
Persistent link: https://www.econbiz.de/10005763910