Yingyao Hu

Selected Publications

Nonparametric identification and semiparametric estimation of classical measurement error models without side information

Virtually all methods aimed at correcting for covariate measurement error in regressions rely on some form […]

Susanne M. Schennach, Yingyao Hu
3 December 2012 | CWP40/12

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Estimating production functions with robustness against errors in the proxy variables

This paper proposes a new semi-nonparametric maximum likelihood estimation method for estimating production functions. The method […]

Guofang Huang, Yingyao Hu
15 November 2011 | CWP35/11
Nonparametric identification using instrumental variables: sufficient conditions for completeness

This paper provides sufficient conditions for the nonparametric identification of the regression function m(.) in a […]

Yingyao Hu, Ji-Liang Shiu
25 June 2011 | CWP25/11
Nonparametric learning rules from bandit experiments: the eyes have it!

We estimate nonparametric learning rules using data from dynamic two-armed bandit (probabilistic reversal learning) experiments, supplemented […]

Yingyao Hu, Yutaka Kayaba, Matthew Shum
10 June 2010 | CWP15/10

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Nonparametric learning rules from bandit experiments: the eyes have it!
Yingyao Hu, Yutaka Kayaba, Matthew Shum
30 September 2013 | Journal Article
Well-posedness of measurement error models for self-reported data

It is widely admitted that the inverse problem of estimating the distribution of a latent variable […]

Yonghong An, Yingyao Hu
3 December 2009 | CWP35/09

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Well-posedness of measurement error models for self-reported data
Yonghong An, Yingyao Hu
30 June 2012 | Journal Article
Nonparametric identification of auction models with non-separable unobserved heterogeneity

We propose a novel methodology for nonparametric identification of first-price auction models with independent private values, […]

Yingyao Hu, David McAdams, Matthew Shum
9 July 2009 | CWP15/09
Nonparametric identification of dynamic models with unobserved state variables

We consider the identification of a Markov process {Wt, Xt*} for t=1,2,…,T when only {Wt} for […]

Yingyao Hu, Matthew Shum
28 May 2008 | CWP13/08

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Nonparametric identification of dynamic models with unobserved state variables
Yingyao Hu, Matthew Shum
30 November 2012 | Journal Article
Identifying the returns to lying when the truth is unobserved

Consider an observed binary regressor D and an unobserved binary variable D*, both of which affect […]

Yingyao Hu, Arthur Lewbel
11 February 2008 | CWP06/08
Nonparametric identification and estimation of nonclassical errors-in-variables models without additional information

This paper considers identification and estimation of a nonparametric regression model with an unobserved discrete covariate. […]

Xiaohong Chen, Yingyao Hu, Arthur Lewbel
13 August 2007 | CWP18/07

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Nonparametric identification of regression models containing a misclassified dichotomous regressor without instruments

This note considers nonparametric identification of a general nonlinear regression model with a dichotomous regressor subject […]

Xiaohong Chen, Yingyao Hu, Arthur Lewbel
1 August 2007 | CWP17/07

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