Stéphane Bonhomme

CEMFI - Calle Casado del Alisal 5 - 28014 Madrid - Spain
Phone: +34 914 290 551 - Fax: +34 914 291 056 - E-mail: bonhomme@cemfi.es

 

NEWS

I am leaving for NYU on September 2009.

 

BACKGROUND

I did my PhD at CREST and Université Paris I, under the supervision of Jean-Marc Robin. You can see my CV HERE.

 

TEACHING

I teach Econometrics at the graduate level. You can see some class notes at the bottom of this page.

 

CURRENT RESEARCH

 

   My main interests are in Labour economics and Microeconometrics.

 

I started to work on earnings inequality with Jean-Marc Robin. Our first paper studies earnings inequality and mobility in France in the 1990s. Below is the final version of the paper, published in the Review of Economic Studies (76(1), 63-92, January 2009):

“Assessing the Equalizing Force of Mobility Using Short Panels: France, 1990-2000”, (April 2008), [with Jean-Marc Robin].

 

We also have developed a method that allows to nonparametrically estimate the distributions of earnings shocks. Here is a revised version of the paper, with an application to PSID data, forthcoming in the Review of Economic Studies:

“Generalized Nonparametric Deconvolution with an Application to Earnings Dynamics”, (March 2009) [with Jean-Marc Robin].

 

GAUSS codes for the nonparametric deconvolution estimator, together with the PSID subsample that we have used, may be found HERE.

 

With Grégory Jolivet we have been studying the non-wage characteristics of jobs. Here is the final version of our first paper, forthcoming in the Journal of Applied Econometrics:

“The Pervasive  Absence of Compensating Differentials”, (October 2008) [with Grégory Jolivet].

 

With Ulrich Sauder, we have proposed an extension of the Difference-in-Differences approach to recover the entire counterfactual distribution of potential outcomes. We apply the method to compare the selective and comprehensive systems of secondary education in England and Wales at the beginning of the 1970s. Here is a revised version of the paper:

“Recovering Distributions in Difference-in-Differences: A Comparison of Selective and Comprehensive Schooling”, (August 2009) [with Ulrich Sauder].

 

A more extensive version of that paper is available HERE.

A STATA code for the method, with a numerical illustration, can be found HERE.

  

   I am also working on more methodological issues, mostly on models with latent variables such as panel data models and factor models.

 

With Manuel Arellano I have been working on panel data models. Our first paper studies prior distributions on the effects that lead to first-order bias reduction on the parameters of interest. Here is the final version of the paper, forthcoming in Econometrica:

“Robust Priors in Nonlinear Panel Data Models“, (September 2008), [with Manuel Arellano].

 

A supplementary appendix to the paper is available HERE.

 

In a second paper we study the identification of the distributions of individual effects and errors in linear panel data models with multiple effects. Here is an updated version:

“Identifying Distributional Characteristics in Random Coefficients Panel Data Models”, (July 2009), [with Manuel Arellano].

 

With Jean-Marc we have also studied the identification of factor loadings in linear factor models under the assumption of independence. This problem is known as (``noisy’’) Independent Component Analysis (ICA) in the engineering literature. Here is a revised version of the paper, published in the Journal of Econometrics, 149(1), 12-25, April 2009:

“Consistent Noisy Independent Component Analysis”, (December 2008), [with Jean-Marc Robin].

 

An appendix to the paper can be found HERE.

 

Here is the code of the ICA estimator that we have developed:

“GAUSS Code for the Quasi-JADE algorithm ”, (November 2008). The zip file includes two numerical illustrations.  

 

Lastly, I have developed a simple method to estimate asymptotic standard errors of sequential EM estimators, using the generalized information identity:

“Standard Errors Estimation in Mixtures of Partial Likelihood Models”, (March 2006).

 

 

CLASS NOTES (postscript files)

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