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Heckman, James J.
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1
Estimation of dynamic discrete choice models by maximum likelihood and the simulated method of moments
Eisenhauer, Philipp
;
Heckman, James J.
;
Mosso, Stefano
- In:
International economic review
56
(
2015
)
2
,
pp. 331-358
Persistent link: https://www.econbiz.de/10011421088
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
Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice : 2001 Lawrence R. Kle...
Carneiro, Pedro
;
Hansen, Karsten T.
;
Heckman, James J.
- In:
International economic review
44
(
2003
)
2
,
pp. 361-422
Persistent link: https://www.econbiz.de/10001767150
Saved in:
4
Estimating the technology of cognitive and noncognitive skill formation
Cunha, Flavio
;
Heckman, James J.
;
Schennach, Susanne M.
-
2010
investment
in children compared to later remediation. We establish nonparametric identfication of a general class of production …
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
Saved in:
6
The identification and economic content of ordered choice models with stochastic thesholds
Cunha, Flávio
;
Heckman, James J.
;
Navarro, Salvador
- In:
International economic review
48
(
2007
)
4
,
pp. 1273-1309
Persistent link: https://www.econbiz.de/10003612507
Saved in:
7
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:
8
Dynamic policy analysis
Abbring, Jaap H.
;
Heckman, James J.
-
2008
This chapter studies the microeconometric treatment-effect and structural approaches to dynamic policy evaluation. First, we discuss a reduced-form approach based on a sequential randomization or dynamic matching assumption that is popular in biostatistics. We then discuss two complementary...
Persistent link: https://www.econbiz.de/10010318543
Saved in:
9
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:
10
Evaluating marginal policy changes and the average effect of treatment for individuals at the margin
Carneiro, Pedro
;
Heckman, James J.
;
Vytlacil, Edward
-
2009
This paper develops methods for evaluating marginal policy changes. We characterize how the effects of marginal policy changes depend on the direction of the policy change, and show that marginal policy effects are fundamentally easier to identify and to estimate than conventional treatment...
Persistent link: https://www.econbiz.de/10010288403
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