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~isPartOf:"cemmap working paper"
~person:"Barnett, William A."
~person:"Heckman, James J."
~person:"Herwartz, Helmut"
~person:"Schneider, Friedrich"
~subject:"Bildungsertrag"
~subject:"Causality analysis"
~subject:"Estimation theory"
~subject:"Schätzung"
~subject:"Ökonometrisches Modell"
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endogeneity of inputs anchoring test scores
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Barnett, William A.
Heckman, James J.
Herwartz, Helmut
Schneider, Friedrich
Ekeland, Ivar
2
Fernández-Val, Iván
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Nesheim, Lars
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Vella, Francis
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cemmap working paper
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Identifying hedonic models
Ekeland, Ivar
;
Heckman, James J.
;
Nesheim, Lars
-
2001
, Sherwin Rosen, 1974 and Dennis Epple, 1987, for contributions to this literature). While the
theory
is well formulated, and …
Persistent link: https://www.econbiz.de/10010318466
Saved in:
2
Simulation and estimation of hedonic models
Heckman, James J.
;
Matzkin, Rosa Liliana
;
Nesheim, Lars P.
-
2003
Persistent link: https://www.econbiz.de/10010318494
Saved in:
3
Identification and estimation of hedonic models
Ekeland, Ivar
;
Heckman, James J.
;
Nesheim, Lars
-
2002
This paper considers the identification and estimation of hedonic models. We establish that technology and preferences in a separable version of the hedonic model are generically identified up to affine transformations from data on demand and supply in a single hedonic market. For a very general...
Persistent link: https://www.econbiz.de/10010318545
Saved in:
4
Estimating the technology of cognitive and noncognitive skill formation
Cunha, Flavio
;
Heckman, James J.
;
Schennach, Susanne M.
-
2010
This paper formulates and estimates multistage production functions for children's cognitive and noncognitive skills. Skills are determined by parental environments and investments at different stages of childhood. We estimate the elasticity of substitution between investments in one period and...
Persistent link: https://www.econbiz.de/10010288377
Saved in:
5
Testing the correlated random coefficient model
Heckman, James J.
;
Schmierer, Daniel
;
Urzua, Sergio
-
2010
The recent literature on instrumental variables (IV) features models in which agents sort into treatment status on the basis of gains from treatment as well as on baselinepretreatment levels. Components of the gains known to the agents and acted on by them may not be known by the observing...
Persistent link: https://www.econbiz.de/10010288398
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