Estimating Wage Disparities Using Foundation Models
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Vafa, Keyon & Athey, Susan & Blei, David M., 2024. "Estimating Wage Disparities Using Foundation Models," Research Papers 4206, Stanford University, Graduate School of Business.
References listed on IDEAS
- Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014.
"High-Dimensional Methods and Inference on Structural and Treatment Effects,"
Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 29-50, Spring.
- Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2013. "High dimensional methods and inference on structural and treatment effects," CeMMAP working papers CWP59/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2013. "High dimensional methods and inference on structural and treatment effects," CeMMAP working papers 59/13, Institute for Fiscal Studies.
- Victor Chernozhukov & Carlos Cinelli & Whitney Newey & Amit Sharma & Vasilis Syrgkanis, 2021.
"Long Story Short: Omitted Variable Bias in Causal Machine Learning,"
Papers
2112.13398, arXiv.org, revised May 2024.
- Victor Chernozhukov & Carlos Cinelli & Whitney Newey & Amit Sharma & Vasilis Syrgkanis, 2022. "Long Story Short: Omitted Variable Bias in Causal Machine Learning," NBER Working Papers 30302, National Bureau of Economic Research, Inc.
- Jon Kleinberg & Jens Ludwig & Sendhil Mullainathan & Ziad Obermeyer, 2015. "Prediction Policy Problems," American Economic Review, American Economic Association, vol. 105(5), pages 491-495, May.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018.
"Double/debiased machine learning for treatment and structural parameters,"
Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2017. "Double/Debiased Machine Learning for Treatment and Structural Parameters," NBER Working Papers 23564, National Bureau of Economic Research, Inc.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins, 2017. "Double/debiased machine learning for treatment and structural parameters," CeMMAP working papers CWP28/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins, 2017. "Double/debiased machine learning for treatment and structural parameters," CeMMAP working papers 28/17, Institute for Fiscal Studies.
- Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-954, July.
- David H. Autor & David Dorn, 2013.
"The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market,"
American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
- David H. Autor & David Dorn, 2009. "The Growth of Low Skill Service Jobs and the Polarization of the U.S. Labor Market," NBER Working Papers 15150, National Bureau of Economic Research, Inc.
- Autor, David & Dorn, David, 2012. "The Growth of Low Skill Service Jobs and the Polarization of the U.S. Labor Market," IZA Discussion Papers 7068, Institute of Labor Economics (IZA).
- Athey, Susan & Imbens, Guido W. & Wager, Stefan, 2016. "Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing," Research Papers 3408, Stanford University, Graduate School of Business.
- Francine D. Blau & Lawrence M. Kahn, 2017.
"The Gender Wage Gap: Extent, Trends, and Explanations,"
Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
- Francine D. Blau & Lawrence M. Kahn, 2016. "The Gender Wage Gap: Extent, Trends, and Explanations," NBER Working Papers 21913, National Bureau of Economic Research, Inc.
- Francine D. Blau & Lawrence Kahn, 2016. "The Gender Wage Gap: Extent, Trends, and Explanations," CESifo Working Paper Series 5722, CESifo.
- Blau, Francine D. & Kahn, Lawrence M., 2016. "The Gender Wage Gap: Extent, Trends, and Explanations," IZA Discussion Papers 9656, Institute of Labor Economics (IZA).
- Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006.
"Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand,"
NBER Technical Working Papers
0330, National Bureau of Economic Research, Inc.
- Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand," Working Papers 0608, University of Miami, Department of Economics.
- Crump, Richard K. & Hotz, V. Joseph & Imbens, Guido W. & Mitnik, Oscar A., 2006. "Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand," IZA Discussion Papers 2347, Institute of Labor Economics (IZA).
- Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011.
"Decomposition Methods in Economics,"
Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102,
Elsevier.
- Nicole Fortin & Thomas Lemieux & Sergio Firpo, 2010. "Decomposition Methods in Economics," NBER Working Papers 16045, National Bureau of Economic Research, Inc.
- Oaxaca, Ronald, 1973.
"Male-Female Wage Differentials in Urban Labor Markets,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
- Ronald L Oaxaca, 1971. "Male-Female Wage Differentials in Urban Labor Markets," Working Papers 396, Princeton University, Department of Economics, Industrial Relations Section..
- Juan C. Perdomo & Tolani Britton & Moritz Hardt & Rediet Abebe, 2023. "Difficult Lessons on Social Prediction from Wisconsin Public Schools," Papers 2304.06205, arXiv.org, revised Sep 2023.
- X Nie & S Wager, 2021. "Quasi-oracle estimation of heterogeneous treatment effects [TensorFlow: A system for large-scale machine learning]," Biometrika, Biometrika Trust, vol. 108(2), pages 299-319.
- Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
- Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Bonaccolto-Töpfer, Marina & Briel, Stephanie, 2022. "The gender pay gap revisited: Does machine learning offer new insights?," Labour Economics, Elsevier, vol. 78(C).
- Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
- Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2024.
"Model Averaging and Double Machine Learning,"
Papers
2401.01645, arXiv.org, revised Sep 2024.
- Ahrens, Achim & Hansen, Christian B. & Schaffer, Mark E & Wiemann, Thomas, 2024. "Model Averaging and Double Machine Learning," IZA Discussion Papers 16714, Institute of Labor Economics (IZA).
- Bonaccolto-Töpfer, Marina & Satlukal, Sascha, 2024. "Gender differences in reservation wages: New evidence for Germany," Labour Economics, Elsevier, vol. 91(C).
- Katie Meara & Francesco Pastore & Allan Webster, 2020.
"The gender pay gap in the USA: a matching study,"
Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 271-305, January.
- Meara, Katie & Pastore, Francesco & Webster, Allan, 2019. "The Gender Pay Gap in the US: A Matching Study," GLO Discussion Paper Series 363, Global Labor Organization (GLO).
- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2020.
"Optimal data collection for randomized control trials,"
The Econometrics Journal, Royal Economic Society, vol. 23(1), pages 1-31.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2016. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers 15/17, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers 45/17, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Carneiro, Pedro & Lee, Sokbae & Wilhelm, Daniel, 2016. "Optimal Data Collection for Randomized Control Trials," IZA Discussion Papers 9908, Institute of Labor Economics (IZA).
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2019. "Optimal Data Collection for Randomized Control Trials," CeMMAP working papers CWP21/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2016. "Optimal data collection for randomized control trials," CeMMAP working papers 15/16, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP45/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2016. "Optimal Data Collection for Randomized Control Trials," Papers 1603.03675, arXiv.org, revised Aug 2016.
- Michaela Fuchs & Anja Rossen & Antje Weyh & Gabriele Wydra‐Somaggio, 2021. "Where do women earn more than men? Explaining regional differences in the gender pay gap," Journal of Regional Science, Wiley Blackwell, vol. 61(5), pages 1065-1086, November.
- Tymon Słoczyński, 2022.
"Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights,"
The Review of Economics and Statistics, MIT Press, vol. 104(3), pages 501-509, May.
- Sloczynski, Tymon, 2020. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," IZA Discussion Papers 13283, Institute of Labor Economics (IZA).
- Tymon Sloczynski, 2020. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," CESifo Working Paper Series 8331, CESifo.
- Hennig, Jan-Luca & Stadler, Balazs, 2021. "Firm-specific pay premiums and the gender wage gap in 21 European countries," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242354, Verein für Socialpolitik / German Economic Association.
- Oscar Molina Tejerina & Luis Castro Peñarrieta, 2020. "Unexplained Wage Gaps in the Tradable and Nontradable Sectors: Cross-Sectional Evidence by Gender in Bolivia," Investigación & Desarrollo, Universidad Privada Boliviana, vol. 20(1), pages 5-23.
- Daniela Piazzalunga & Maria Laura Di Tommaso, 2019.
"The increase of the gender wage gap in Italy during the 2008-2012 economic crisis,"
The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 171-193, June.
- Daniela Piazzalunga & Maria Laura Di Tommaso, 2019. "The increase of the gender wage gap in Italy during the 2008-2012 economic crisis," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 171-193, June.
- Daniela Piazzalunga & Maria Laura Di Tommaso, 2015. "The increase of the gender wage gap in Italy during the 2008-2012 economic crisis," Working Papers 381, ECINEQ, Society for the Study of Economic Inequality.
- Piazzalunga, Daniela & Di Tommaso, Maria Laura, 2016. "The Increase of the Gender Wage Gap in Italy during the 2008-2012 Economic Crisis," IZA Discussion Papers 9931, Institute of Labor Economics (IZA).
- Piazzalunga, Daniela & Di Tommaso, Maria Laura, 2015. "The increase of gender wage gap in Italy during the 2008-2012 economic crisis," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201532, University of Turin.
- Daniela Piazzalunga & Maria Laura Di Tommaso, 2015. "The increase of the gender wage gap in Italy during the 2008-2012 economic crisis," Carlo Alberto Notebooks 426, Collegio Carlo Alberto.
- Yiyi Huo & Yingying Fan & Fang Han, 2023. "On the adaptation of causal forests to manifold data," Papers 2311.16486, arXiv.org, revised Dec 2023.
- Sloczynski, Tymon, 2018.
"A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands,"
IZA Discussion Papers
11866, Institute of Labor Economics (IZA).
- Tymon Sloczynski, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," Working Papers 125, Brandeis University, Department of Economics and International Business School.
- Hansen, Henrik & Rand, John & Win, Ngu Wah, 2022.
"The gender wage gap in Myanmar: Adding insult to injury?,"
Journal of Asian Economics, Elsevier, vol. 81(C).
- Henrik Hansen & John Rand & Ngu Wah Win, 2020. "The gender wage gap in Myanmar: Adding insult to injury?," DERG working paper series 20-05, University of Copenhagen. Department of Economics. Development Economics Research Group (DERG).
- Gustavo Canavire-Bacarreza & Luis C. Carvajal-Osorio, 2020.
"Two Stories of Wage Dynamics in Latin America: Different Policies, Different Outcomes,"
Journal of Labor Research, Springer, vol. 41(1), pages 128-168, June.
- Canavire Bacarreza, Gustavo J. & Carvajal-Osorio, Luis C., 2018. "Two Stories of Wage Dynamics in Latin America: Different Policies, Different Outcomes," IZA Discussion Papers 11584, Institute of Labor Economics (IZA).
- Gustavo Adolfo García & Diego René Gonzales Miranda & Oscar Gallo & Juan Pablo Roman Calderon, 2020. "Millennials and the gender wage gap: Do millennial women face a glass ceiling?," Documentos de Trabajo de Valor Público 18409, Universidad EAFIT.
- Nicola Gagliardi & Benoît Mahy & François Rycx, 2021.
"Upstreamness, Wages and Gender: Equal Benefits for All?,"
British Journal of Industrial Relations, London School of Economics, vol. 59(1), pages 52-83, March.
- Gagliardi, Nicola & Mahy, Benoît & Rycx, François, 2019. "Upstreamness, Wages and Gender: Equal Benefits for All?," IZA Discussion Papers 12449, Institute of Labor Economics (IZA).
- Nicola Gagliardi & Benoit Mahy & François Rycx, 2021. "Upstreamness, Wages and Gender: Equal Benefits for All?," ULB Institutional Repository 2013/292445, ULB -- Universite Libre de Bruxelles.
- Waitkus, Nora & Minkus, Lara, 2021. "Investigating the gender wealth gap across occupational classes," LSE Research Online Documents on Economics 108206, London School of Economics and Political Science, LSE Library.
- Naticchioni, Paolo & Ragusa, Giuseppe & Massari, Riccardo, 2014.
"Unconditional and Conditional Wage Polarization in Europe,"
IZA Discussion Papers
8465, Institute of Labor Economics (IZA).
- Riccardo Massari & Paolo Naticchioni & Giuseppe Ragusa, 2015. "Unconditional and Conditional Wage Polarization in Europe," Working Papers CELEG 1504, Dipartimento di Economia e Finanza, LUISS Guido Carli.
- Kaya Ezgi, 2021. "Gender wage gap across the distribution: What is the role of within- and between-firm effects?," IZA Journal of Development and Migration, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 12(1), pages 1-49, January.
More about this item
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2024-10-14 (Econometrics)
- NEP-IPR-2024-10-14 (Intellectual Property Rights)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2409.09894. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.