The econometrics of unobservables : applications of measurement error models in empirical industrial organization and labor economics
Year of publication: |
October 2017
|
---|---|
Authors: | Hu, Yingyao |
Published in: |
Journal of econometrics. - Amsterdam [u.a.] : Elsevier, ISSN 0304-4076, ZDB-ID 184861-6. - Vol. 200.2017, 2, p. 154-168
|
Subject: | Measurement error model | Errors-in-variables | Latent variable | Unobserved heterogeneity | Unobserved state variable | Mixture model | Hidden Markov model | Dynamic discrete choice | Nonparametric identification | Conditional independence | Endogeneity | Instrument | Type | Unemployment rates | IPV auction | Multiple equilibria | Incomplete information game | Belief | Learning model | Fixed effects | Panel data model | Cognitive and non-cognitive skills | Matching | Income dynamics | Theorie | Theory | Statistischer Fehler | Statistical error | Panel | Panel study | Diskrete Entscheidung | Discrete choice | Markov-Kette | Markov chain | Ökonometrie | Econometrics | Nichtparametrisches Verfahren | Nonparametric statistics | Schätzung | Estimation | Arbeitslosigkeit | Unemployment |
-
Hu, Yingyao, (2015)
-
Hu, Yingyao, (2015)
-
Dynamic binary outcome models with maximal heterogeneity
Browning, Martin James, (2014)
- More ...
-
Measuring Quarterly Economic Growth from Outer Space
Beyer, Robert, (2022)
-
Identification of unobservables in observations
Hu, Yingyao, (2022)
-
Identifying the returns to lying when the truth is unobserved
Hu, Yingyao, (2007)
- More ...