Determining the gender wage gap through causal inference and machine learning models: evidence from Chile

[1]  Arlette Beltrán,et al.  The Gender Wage Gap in Peru: Drivers, Evolution, and Heterogeneities , 2022, Social Inclusion.

[2]  C. Priscilla,et al.  A two-phase feature selection technique using mutual information and XGB-RFE for credit card fraud detection , 2021, International Journal of Advanced Technology and Engineering Exploration.

[3]  D. Black,et al.  College Majors, Occupations, and the Gender Wage Gap , 2021, Journal of Economic Perspectives.

[4]  Mauricio G. Villena,et al.  Gender wage gap and firm market power: evidence from Chile , 2021, Applied Economics.

[5]  Nicolás Didier.  Does credentialism affect the gender wage gap? Evidence from Chile , 2021 .

[6]  Valentina Hartarska,et al.  The Gender Wage Gap in Developing Countries , 2020 .

[7]  Sebastián Maldonado,et al.  Uplift Modeling for preventing student dropout in higher education , 2020, Decis. Support Syst..

[8]  J. Sterne,et al.  Collider bias undermines our understanding of COVID-19 disease risk and severity , 2020, Nature Communications.

[9]  Yang Yang,et al.  HMMPred: Accurate Prediction of DNA-Binding Proteins Based on HMM Profiles and XGBoost Feature Selection , 2020, Comput. Math. Methods Medicine.

[10]  D. Bartram,et al.  Age and Life Satisfaction: Getting Control Variables under Control , 2019, Sociology.

[11]  Sharareh Kermanshachi,et al.  A Machine Learning Framework to Identify Employees at Risk of Wage Inequality: U.S. Department of Transportation Case Study , 2019, Computing in Civil Engineering 2019.

[12]  Priit Vahter,et al.  The contribution of multinationals to wage inequality: foreign ownership and the gender pay gap , 2018, Review of World Economics.

[13]  V. Chernozhukov,et al.  Closing the U.S. gender wage gap requires understanding its heterogeneity , 2018, 1812.04345.

[14]  Stephan Kampelmann,et al.  Does education raise productivity and wages equally? The moderating role of age and gender , 2018 .

[15]  P. Redmond,et al.  The Gender Wage Gap in Europe: Job Preferences, Gender Convergence and Distributional Effects , 2018, Oxford Bulletin of Economics and Statistics.

[16]  Joanna Tyrowicz,et al.  Does Age Exacerbate the Gender-Wage Gap? New Method and Evidence From Germany, 1984–2014 , 2018, Feminist Economics.

[17]  Hiromi Hara.  The gender wage gap across the wage distribution in Japan: Within- and between-establishment effects , 2018, Labour Economics.

[18]  Xinkun Nie,et al.  Learning Objectives for Treatment Effect Estimation , 2017 .

[19]  Stephen J. Chapman,et al.  Ceteris non paribus: The intersectionality of gender, race, and region in the gender wage gap , 2017 .

[20]  Hugo Alatrista Salas,et al.  Measuring the gender discrimination: A machine learning approach , 2017, 2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

[21]  Eric S. Lin,et al.  The gender wage gap in the financial industry: Evidence from the interindustry ranking , 2017 .

[22]  Sören R. Künzel,et al.  Metalearners for estimating heterogeneous treatment effects using machine learning , 2017, Proceedings of the National Academy of Sciences.

[23]  Astrid Kunze.  The Gender Wage Gap in Developed Countries , 2017, SSRN Electronic Journal.

[24]  Scott Lundberg,et al.  A Unified Approach to Interpreting Model Predictions , 2017, NIPS.

[25]  A. Kauhanen.  Gender differences in corporate hierarchies , 2017, IZA World of Labor.

[26]  Jessica Pan,et al.  Occupation and Gender , 2017, SSRN Electronic Journal.

[27]  Hasan Tekgüç,et al.  Women’s Tertiary Education Masks the Gender Wage Gap in Turkey , 2017 .

[28]  Andrea Cutillo,et al.  Gender-Based Occupational Choices and Family Responsibilities: The Gender Wage Gap in Italy , 2017 .

[29]  Christopher A. Neilson,et al.  The Gender Gap in Mathematics: Evidence from Chile , 2016, Economic Development and Cultural Change.

[30]  Tianqi Chen,et al.  XGBoost: A Scalable Tree Boosting System , 2016, KDD.

[31]  Xueyu Cheng,et al.  Gender equality in the workplace: The effect of gender equality on productivity growth among the Chilean manufacturers , 2016 .

[32]  Francine D. Blau,et al.  The Gender Wage Gap: Extent, Trends, and Explanations , 2016, SSRN Electronic Journal.

[33]  Jonah B. Gelbach.  When Do Covariates Matter? And Which Ones, and How Much? , 2014, Journal of Labor Economics.

[34]  Christopher Winship,et al.  Endogenous Selection Bias: The Problem of Conditioning on a Collider Variable. , 2014, Annual review of sociology.

[35]  Semih Tumen,et al.  Overview of Firm-Size and Gender Pay Gaps in Turkey: The Role of Informal Employment , 2014 .

[36]  J. Olson.  Human Capital Models and the Gender Pay Gap , 2013 .

[37]  Matteo Picchio,et al.  The gender wage gap by education in Italy , 2013, The Journal of Economic Inequality.

[38]  Arnaud Chevalier,et al.  Education, Occupation and Career Expectations: Determinants of the Gender Pay Gap for UK Graduates , 2006 .

[39]  H. Nopo.  The Gender Wage Gap in Chile 1992-2003 from a Matching Comparisons Perspective , 2006 .

[40]  D. Rubin.  Causal Inference Using Potential Outcomes , 2005 .

[41]  M. Chen.  Women and Informality: A Global Picture, the Global Movement , 2001 .

[42]  Thomas Lemieux,et al.  Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach , 1995 .

[43]  L. Shapley.  A Value for n-person Games , 1988 .

[44]  R. Oaxaca.  Male-Female Wage Differentials in Urban Labor Markets , 1973 .

[45]  L. Shapley,et al.  Stochastic Games* , 1953, Proceedings of the National Academy of Sciences.

[46]  Gabriel Rodríguez-Puello,et al.  Commodity price shocks and the gender wage gap: Evidence from the Metal Mining Prices Super-Cycle in Chile , 2022, Resources Policy.

[47]  Dongxu Li,et al.  Hierarchical Gender-wage Gap: Evidence from Corporate Top Managers , 2022, Social Science Research Network.

[48]  Stephanie Brieland,et al.  The gender pay gap revisited: Does machine learning offer new insights? , 2020 .

[49]  Laura M. Argys,et al.  Oxford Handbook of Women and the Economy , 2018 .

[50]  Nitesh V. Chawla,et al.  SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..

[51]  Kevin M. Murphy,et al.  Accounting for the Slowdown in Black-White Wage Convergence , 1991 .

[52]  A. Blinder.  Wage Discrimination: Reduced Form and Structural Estimates , 1973 .