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On Deconvolution as a First Stage Nonparametric Estimator. (2010). Hu, Yingyao ; Ridder, Geert.
In: Econometric Reviews.
RePEc:taf:emetrv:v:29:y:2010:i:4:p:365-396.

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  1. Prices, profits, proxies, and production. (2023). Aguiar, Victor ; Allen, Roy ; Kashaev, Nail.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:235:y:2023:i:2:p:666-693.

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  2. Time-varying unobserved heterogeneity in earnings shocks. (2023). Botosaru, Irene.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:235:y:2023:i:2:p:1378-1393.

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  3. .

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  4. Prices, Profits, Proxies, and Production. (2022). Allen, Roy ; Kashaev, Nail ; Aguiar, Victor H.
    In: University of Western Ontario, Departmental Research Report Series.
    RePEc:uwo:uwowop:20226.

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  5. .

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  6. Uniform confidence bands for nonparametric errors-in-variables regression. (2019). Sasaki, Yuya ; Kato, Kengo.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:213:y:2019:i:2:p:516-555.

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  7. Convolution without independence. (2019). Schennach, Susanne.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:211:y:2019:i:1:p:308-318.

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  8. Nonparametric Estimation of a Conditional Quantile Function in a Fixed Effects Panel Data Model. (2018). yan, karen ; Li, QI.
    In: JRFM.
    RePEc:gam:jjrfmx:v:11:y:2018:i:3:p:44-:d:161849.

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  9. Uniform confidence bands in deconvolution with unknown error distribution. (2018). Kato, Kengo ; Sasaki, Yuya.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:207:y:2018:i:1:p:129-161.

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  10. Identifying Distributions in a Panel Model with Heteroskedasticity: An Application to Earnings Volatility. (2017). Botosaru, Irene.
    In: Discussion Papers.
    RePEc:sfu:sfudps:dp17-11.

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  11. Injectivity of a class of integral operators with compactly supported kernels. (2017). Schennach, Susanne ; Shiu, Ji-Liang ; Hu, Yingyao.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:200:y:2017:i:1:p:48-58.

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  12. Convolution without independence. (2013). Schennach, Susanne.
    In: CeMMAP working papers.
    RePEc:ifs:cemmap:46/13.

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  13. Measurement error in nonlinear models - a review. (2012). Schennach, Susanne.
    In: CeMMAP working papers.
    RePEc:ifs:cemmap:41/12.

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  14. Well-posedness of measurement error models for self-reported data. (2012). Hu, Yingyao ; An, Yonghong.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:168:y:2012:i:2:p:259-269.

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References

References cited by this document

    References contributed by psc367-24765

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  2. Chen, X., Hong, H., Tamer, E. (2005). Measurement error models with auxiliary data. Review of Economic Studies 72:343–366.

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  6. Hu, Y., Ridder, G. (2003). Estimation of nonlinear models with measurement error using marginal information. Working paper. Johns Hopkins University.
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  7. Li, T. (2002). Robust and consistent estimation of nonlinear errors-in-variables models. Journal of Econometrics 110:1–26.

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Cocites

Documents in RePEc which have cited the same bibliography

  1. Uniform confidence bands for nonparametric errors-in-variables regression. (2019). Sasaki, Yuya ; Kato, Kengo.
    In: Journal of Econometrics.
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  2. Identifying the effect of a mis-classified, binary, endogenous regressor. (2019). Garcia-Jimeno, Camilo ; Ditraglia, Francis J.
    In: Journal of Econometrics.
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  3. Indirect Inference with endogenously missing exogenous variables. (2018). Chaudhuri, Saraswata ; Renault, Eric ; Frazier, David T.
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  4. Mis-classified, Binary, Endogenous Regressors: Identification and Inference. (2017). DiTraglia, Francis ; Garcia-Jimeno, Camilo.
    In: NBER Working Papers.
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  5. Regression discontinuity design with continuous measurement error in the running variable. (2017). Le Barbanchon, Thomas ; Davezies, Laurent.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:200:y:2017:i:2:p:260-281.

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  6. The econometrics of unobservables: Applications of measurement error models in empirical industrial organization and labor economics. (2017). Hu, Yingyao.
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  7. Generalized partially linear regression with misclassified data and an application to labour market transitions. (2017). Wilke, Ralf ; Dlugosz, Stephan ; Mammen, Enno.
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  8. Series estimation under cross-sectional dependence. (2016). Lee, Jungyoon ; Robinson, Peter M.
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  9. Indirect Inference with Endogenously Missing Exogenous Variables. (2016). Renault, Eric ; Chaudhuriy, Saraswata ; Frazierz, David T.
    In: CIRANO Working Papers.
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  10. On Mis-measured Binary Regressors: New Results And Some Comments on the Literature, Third Version. (2015). Garcia-Jimeno, Camilo ; DiTraglia, Francis .
    In: PIER Working Paper Archive.
    RePEc:pen:papers:15-040.

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  11. On Mis-measured Binary Regressors: New Results And Some Comments on the Literature, Second Version. (2015). Garcia-Jimeno, Camilo ; DiTraglia, Francis .
    In: PIER Working Paper Archive.
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  12. Microeconomic models with latent variables: applications of measurement error models in empirical industrial organization and labor economics. (2015). Hu, Yingyao.
    In: CeMMAP working papers.
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  13. Generalised partially linear regression with misclassied data and an application to labour market transitions. (2015). Wilke, Ralf ; Dlugosz, Stephan ; Mammen, Enno.
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  14. Semiparametric estimation with missing covariates. (2015). Bravo, Francesco.
    In: Journal of Multivariate Analysis.
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  15. Closed-form estimation of nonparametric models with non-classical measurement errors. (2015). Hu, Yingyao ; Sasaki, Yuya.
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  16. Semiparametric estimation of models with conditional moment restrictions in the presence of nonclassical measurement errors. (2015). Song, Suyong.
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  17. Enriching Surveys with Supplementary Data and its Application to Studying Wage Regression. (2015). Yamada, Ken ; Zhang, Biao ; Yan, Denis Heng .
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  18. Left with Bias? Quantile Regression with Measurement Error in Left Hand Side Variables. (2014). Stacy, Brian.
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  19. Dilation bootstrap. (2013). Henry, Marc ; Galichon, Alfred.
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  20. Evaluating treatment protocols using data combination. (2013). Bhattacharya, Debopam.
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  21. Combining Strategies for the Estimation of Treatment Effects. (2012). Firpo, Sergio ; de Carvalho, Rafael .
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  22. Sieve estimation of panel data models with cross section dependence. (2012). Su, Liangjun ; Jin, Sainan.
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  23. Well-posedness of measurement error models for self-reported data. (2012). Hu, Yingyao ; An, Yonghong.
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  24. Nonlinear Models of Measurement Errors. (2011). Nekipelov, Denis ; Chen, Xiaohong ; Hong, Han.
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  25. Comment for identification and estimation of nonlinear models using two samples with nonclassical measurement errors, by Carroll, Chen and Hu. (2010). Hong, Han.
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  26. Identification and estimation of nonlinear models using two samples with nonclassical measurement errors. (2010). Chen, Xiaohong ; Carroll, Raymond ; Hu, Yingyao.
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  27. On Deconvolution as a First Stage Nonparametric Estimator. (2010). Hu, Yingyao ; Ridder, Geert.
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  28. Identification and Estimation of Nonlinear Dynamic Panel Data Models with Unobserved Covariates. (2010). Hu, Yingyao ; Shiu, Ji-Liang.
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  29. Efficient semiparametric estimation of multi-valued treatment effects under ignorability. (2010). Cattaneo, Matias.
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  32. Estimation of Nonlinear Models with Mismeasured Regressors Using Marginal Information. (2009). Hu, Yingyao ; Ridder, Geert.
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  38. Not-so-Classical Measurement Errors: A Validation Study of Homescan. (2008). Nevo, Aviv ; Leibtag, Ephraim ; Einav, Liran.
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  40. Instrumental Variable Treatment of Nonclassical Measurement Error Models. (2008). Schennach, Susanne ; Hu, Yingyao.
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  41. Optimally Combining Censored and Uncensored Datasets. (2008). Tripathi, Gautam ; Devereux, Paul.
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  45. Large Sample Sieve Estimation of Semi-Nonparametric Models. (2007). Chen, Xiaohong.
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  47. Nonparametric Identification of Regression Models Containing a Misclassified Dichotomous Regressor Without Instruments. (2007). Lewbel, Arthur ; Hu, Yingyao ; Chen, Xiaohong.
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