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individual income risk using administrative data and shows that income risk is highly unequal in Spain: more than half of the economy has close to perfect predictability of their income, while some face considerable uncertainty. Indeed, in Spain, income risk inequality amplifies income inequality, increases in downturns and has the most impact on the younger population. For France, his research documents whether and how much the equalizing force of earnings mobility changed in the 1990s. For this purpose, his study builds a model of earnings dynamics that combines a flexible modelling of the marginal distributions (inequality) with a tight parameterization of the dynamics (mobility). Estimating the model on the French Labor Force Survey, results show that earnings mobility decreases when cross-section inequality and unemployment risk increase. In addition, by simulating individual earnings trajectories and computing
370:. More recently, Bonhomme and co-authors study non-linearities and mobility in employer-employee matched data using discrete classification of firms as a dimension reduction approach. This approach was applied to several countries, documenting a smaller than previously established role for employer specific contribution to wage inequalities. In his latest work, Bonhomme studies complementarities between workers within teams where he devises an identification argument and applies it to patent and academic publication.
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about future income. Using
Spanish Social Security data, his work documents that since the end of the 1980’s male inequality has been strongly countercyclical, partly reflecting the effects of the housing boom and bust on the construction sector. His more recent research proposes a method to measure
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with a regression approach to estimate models with time-varying group patterns of heterogeneity. In recent work, he has put forward two-step grouped fixed-effects (GFE) estimators, where individuals are first classified into groups using k-means clustering, and the model is then estimated allowing
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of lifetime earnings for various horizons, it is possible to calculate a natural measure of immobility or of the persistence of inequality as the ratio of inequality in present values to inequality in one-year earnings. That ratio remains remarkably constant over the business cycle in France.
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power of multivariate data, coupled with conditional-independence restrictions, was observed in previous literature. The work of
Bonhomme and co-authors contains constructive proofs of identification based on multilinear restrictions and develops computationally-convenient estimators.
296:. He has developed a systematic “functional-differencing” method to construct moment restrictions on common parameters of likelihood models that are free from individual effects. These moment restrictions lead to
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of the full distribution of factors, generalizing previous work and providing a rigorous consistency result for a deconvolution estimator previously proposed in the literature.
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for group-specific heterogeneity. In this work discrete heterogeneity is used as a dimension reduction tool rather than as an assumption about the real form of heterogeneity.
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that alternates between draws of unobservables and QRs based on those draws. He has successfully applied this method to estimating nonlinear models of income and consumption.
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modeling, modeling of unobserved heterogeneity in panel data, and its applications in labor economics, in particular the analysis of earnings inequality and dynamics.
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448:, also known as “Capitaine Stéphane” who obtained Médaille de la Résistance and Chevalier de la Légion d’honneur. His grandfather’s activity as a member of the
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In another series of papers, Bonhomme and co-authors have studied nonparametric estimation of multivariate models with discrete latent variables, including
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Bonhomme’s applied work also extends to important questions in labor markets with heterogeneous workers and firms. His early work studies the estimation of
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128:, where he is the Ann L. and Lawrence B. Buttenwieser Professor of Economics. Bonhomme specializes in microeconometrics. His research involves
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of individual effects that produce integrated-likelihood estimators of common parameters and average marginal effects which are first-order
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Bonhomme has developed several new approaches to estimating panel models with unobserved heterogeneity. He has characterized the class of
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where while acquiring basic education knowledge he simultaneously acquired music education with a focus on viola. Afterwards, he attended
1536:"NSF Award Search: Award # 1658920 - Collaborative Research: Dimension Reduction Methods for Estimating Economic Models with Panel Data"
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both in Spain and in France. His studies in the
Spanish context have uncovered two key dimensions of this phenomenon: first, the
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1308:"Akcigit and Bonhomme Receive Named Professorships | Kenneth C. Griffin Department of Economics | The University of Chicago"
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Bonhomme, Stéphane; Holzheu, Kerstin; Lamadon, Thibaut; Manresa, Elena; Mogstad, Magne; Setzler, Bradley (2020).
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estimators that are free from incidental-parameter bias in short panels. Bonhomme has also introduced a class of
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in panel data models to capture unobserved heterogeneity in parsimonious ways. In particular, his work combines
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179:. And, under the supervision of Jean-Marc Robin, Stéphane Bonhomme received his Ph.D. in economics from the
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Arellano, Manuel; Bonhomme, Stéphane; de Vera, Micole; Hospido, Laura; Wei, Siqi (2021).
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In parallel, he has held different editorial positions, including
Managing Editor at the
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Ma Résistance dans la compagnie Stéphane: Une jeunesse dans la tourmente (Résistances)
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Revision
Requested at Quantitative Economics, Special Issue on Global Income Dynamics
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Bonhomme’s contributions are both on the theory and empirical sides of econometrics.
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402:. The constructed estimator builds on computational routines from the literature on
1091:"Generalized Non-Parametric Deconvolution with an Application to Earnings Dynamics"
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853:"Assessing the Equalizing Force of Mobility Using Short Panels: France, 1990-2000"
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Bonhomme is married to Carmen Bello Gimeno, and has a daughter called
Madeleine.
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His interest in politics led him to obtain the degree of political sciences from
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He initiated his tenure track at the Center for
Monetary and Financial Studies (
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Non-parametric identification of factor models and models with latent variables
796:"The Cycle of Earnings Inequality: Evidence from Spanish Social Security Data"
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1262:. Theoretical and Financial Econometrics: Essays in honor of C. Gourieroux.
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Journal of the Royal
Statistical Society. Series B (Statistical Methodology)
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University of
Chicago, Becker Friedman Institute for Economics Working Paper
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1437:"Editorial board - Journal of Econometrics | ScienceDirect.com by Elsevier"
421:. Such models have a long history and are used in a variety of fields. The
1461:"Quantitative Economics Editorial Board Changes | The Econometric Society"
1140:"Non-parametric estimation of finite mixtures from repeated measurements"
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980:"How Much Should we Trust Estimates of Firm Effects and Worker Sorting?"
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Ma Résistance dans la compagnie Stéphane: une jeunesse dans la tourmente
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during the German occupation was portrayed in two books: Paul
Dreyfus,
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Bonhomme has also contributed to better understanding the evolution of
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777:"Income Risk Inequality: Evidence from Spanish Administrative Records"
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From 2011 to 2015, he was awarded with a Starting Grant from the
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as professor in the Kenneth C. Griffin Department of Economics.
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Arellano, Manuel; Blundell, Richard; Bonhomme, Stéphane (2017).
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Since 2018, he is co-director of the Big Data Initiative at the
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1584:"Fellows | International Association for Applied Economectrics"
931:"A Distributional Framework for Matched Employer Employee Data"
1485:"Spotlight on BFI's New Research Initiative to Study Big Data"
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Bonhomme, Stéphane; Jochmans, Koen; Robin, Jean-Marc (2017).
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Bonhomme, Stéphane; Jochmans, Koen; Robin, Jean-Marc (2016).
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Bonhomme, Stéphane; Jochmans, Koen; Robin, Jean-Marc (2016).
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Bonhomme, Stéphane; Lamadon, Thibaut; Manresa, Elena (2019).
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Bonhomme, Stéphane; Lamadon, Thibaut; Manresa, Elena (2021).
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and their contribution to wage inequality in the presence of
190:) in 2005. From 2009 to 2010, he was assistant professor at
572:"Nonlinear panel data estimation via quantile regressions"
1509:"ERC Starting Grant 2010 Social Sciences and Humanities"
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During his elementary education, Bonhomme attended the
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https://sites.google.com/site/stephanebonhommeresearch/
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In 2017, together with Thibaut Lamadon, he received a
892:"The pervasive absence of compensating differentials"
1002:"Teams: Heterogeneity, sorting, and complementarity"
1032:Bonhomme, Stéphane; Robin, Jean-Marc (2009-04-01).
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Nonlinear panel models and unobserved heterogeneity
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Becker Friedman Institute for Research in Economics
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1636:(in French). Presses Universitaires de Grenoble.
1197:"Estimating multivariate latent-structure models"
1034:"Consistent noisy independent component analysis"
688:"Grouped Patterns of Heterogeneity in Panel Data"
398:coupled with the assumption that factors are non-
344:of inequality and, second, the inequality in the
394:. The approach uses information in higher-order
198:, where he remained until 2013, when he joined
484:"Robust Priors in Nonlinear Panel Data Models"
1089:Bonhomme, Stéphane; Robin, Jean-Marc (2010).
890:Bonhomme, Stéphane; Jolivet, Grégory (2009).
851:Bonhomme, Stéphane; Robin, Jean-Marc (2009).
570:Arellano, Manuel; Bonhomme, Stéphane (2016).
8:
1410:"The Econometric Society Annual Report 2021"
1383:"The Econometric Society Annual Report 2020"
1356:"The Econometric Society Annual Report 2019"
794:Bonhomme, Stéphane; Hospido, Laura (2017).
686:Bonhomme, Stéphane; Manresa, Elena (2015).
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745:"Discretizing unobserved heterogeneity"
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454:Stéphane, le capitaine à l’étoile verte
124:is a French economist currently at the
315:Bonhomme has advocated for the use of
304:(QR) estimators for short panels with
268:In 2017, he was elected fellow of the
1666:Homepage at the University of Chicago
220:(2018-2021), Associate Editor of the
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987:National Bureau of Economic Research
181:Université Paris I Panthéon-Sorbonne
100:Université Paris I Panthéon-Sorbonne
1560:"Fellows | The Econometric Society"
358:Workers sorting and jobs attributes
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194:. In 2010, he became professor at
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263:National Science Foundation (NSF)
233:. Currently, he is the Editor of
1611:(in French). Le Sarment/Fayard.
1332:"History of the Editorial Board"
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869:10.1111/j.1467-937x.2008.00521.x
328:Earnings dynamics and inequality
162:École normale supérieure de Lyon
896:Journal of Applied Econometrics
308:, which relies on a stochastic
148:to prepare for entrance to the
1691:21st-century French economists
211:(2011-2015), Co-editor of the
171:, Paris. Later, he studied at
1:
1686:University of Chicago faculty
1272:10.1016/j.jeconom.2017.08.006
1050:10.1016/j.jeconom.2008.12.019
482:; Bonhomme, Stéphane (2009).
456:; and in, Maréchaux Jacques,
1632:Maréchaux, Jacques (2015).
1000:Bonhomme, Stéphane (2021).
531:Bonhomme, Stéphane (2012).
437:Bonhomme’s grandfather was
231:Journal of Economic Methods
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1564:www.econometricsociety.org
1465:www.econometricsociety.org
1336:Review of Economic Studies
1095:Review of Economic Studies
857:Review of Economic Studies
752:Econometrica (Forthcoming)
466:Some academic publications
208:Review of Economic Studies
1516:European Research Council
533:"Functional Differencing"
406:. Another paper takes up
378:Bonhomme has constructed
364:compensating differential
256:European Research Council
200:The University of Chicago
160:in pure mathematics from
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1201:The Annals of Statistics
576:The Econometrics Journal
408:nonparametric estimation
1588:appliedeconometrics.org
1417:The Econometric Society
1390:The Econometric Society
1363:The Econometric Society
1260:Journal of Econometrics
1038:Journal of Econometrics
223:Journal of Econometrics
1607:Dreyfus, Paul (1992).
1312:economics.uchicago.edu
236:Quantitative Economics
1441:www.sciencedirect.com
142:Conservatoire de Lyon
126:University of Chicago
90:University of Chicago
1711:Microeconometricians
800:The Economic Journal
419:hidden Markov models
334:earnings inequality
302:quantile regression
290:prior distributions
270:Econometric Society
214:Econometric Society
192:New York University
1224:10.1214/15-AOS1376
1157:10.1111/rssb.12110
812:10.1111/ecoj.12368
806:(603): 1244–1278.
588:10.1111/ectj.12062
317:clustering methods
177:Université Paris I
152:. He received his
947:10.3982/ecta15722
704:10.3982/ecta11319
646:10.3982/ecta13795
450:French Resistance
404:signal processing
154:bachelor's degree
122:Stéphane Bonhomme
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23:Stéphane Bonhomme
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480:Arellano, Manuel
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