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Tymon Słoczyński
(Tymon Sloczynski)

Personal Details

First Name:Tymon
Middle Name:
Last Name:Sloczynski
Suffix:
RePEc Short-ID:pso303
[This author has chosen not to make the email address public]
https://tslocz.github.io/
Twitter: @TymonSloczynski
Terminal Degree:2014 Szkoła Główna Handlowa w Warszawie (from RePEc Genealogy)

Affiliation

(98%) Department of Economics, International Business School
Brandeis University

Waltham, Massachusetts (United States)
http://www.brandeis.edu/ief/
RePEc:edi:gsbraus (more details at EDIRC)

(1%) CESifo

München, Germany
https://www.cesifo.org/
RePEc:edi:cesifde (more details at EDIRC)

(1%) Institute of Labor Economics (IZA)

Bonn, Germany
http://www.iza.org/
RePEc:edi:izaaade (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Tymon Sloczynski & S. Derya Uysal & Jeffrey M. Wooldridge & Derya Uysal, 2022. "Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment," CESifo Working Paper Series 10105, CESifo.
  2. Tymon Sloczynski & S. Derya Uysal & Jeffrey M. Wooldridge & Derya Uysal, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," CESifo Working Paper Series 9715, CESifo.
  3. Tymon Słoczyński, 2021. "Using the package hettreatreg to interpret OLS estimates under treatment-effect heterogeneity," 2021 Stata Conference 11, Stata Users Group.
  4. Tymon Sloczynski, 2021. "When Should We (Not) Interpret Linear IV Estimands as LATE?," CESifo Working Paper Series 9064, CESifo.
  5. Tymon Sloczynski, 2020. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," CESifo Working Paper Series 8331, CESifo.
  6. Advani, Arun & Kitagawa, Toru & Sloczynski, Tymon, 2019. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," CAGE Online Working Paper Series 411, Competitive Advantage in the Global Economy (CAGE).
  7. Anton Bonnier & Tymon Sloczynski & Grzegorz Koloch & Katerina Kouli & Adam Izdebski, 2018. "Landscape Change and Trade in Ancient Greece: Evidence from Pollen Data," Working Papers 126, Brandeis University, Department of Economics and International Business School.
  8. 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.
  9. Tymon Sloczynski, 2018. "Average Gaps and Oaxaca–Blinder Decompositions: A Cautionary Tale about Regression Estimates of Racial Differences in Labor Market Outcomes," Working Papers 127, Brandeis University, Department of Economics and International Business School.
  10. Sloczynski, Tymon, 2015. "New Evidence on Linear Regression and Treatment Effect Heterogeneity," IZA Discussion Papers 9491, Institute of Labor Economics (IZA).
  11. Sloczynski, Tymon, 2015. "Average Wage Gaps and Oaxaca–Blinder Decompositions," IZA Discussion Papers 9036, Institute of Labor Economics (IZA).
  12. Sloczynski, Tymon & Wooldridge, Jeffrey M., 2014. "A General Double Robustness Result for Estimating Average Treatment Effects," IZA Discussion Papers 8084, Institute of Labor Economics (IZA).
  13. Izdebski, Adam & Koloch, Grzegorz & Słoczyński, Tymon & Tycner-Wolicka, Marta, 2014. "On the Use of Palynological Data in Economic History: New Methods and an Application to Agricultural Output in Central Europe, 0–2000 AD," MPRA Paper 54582, University Library of Munich, Germany.
  14. Sloczynski, Tymon, 2013. "Population Average Gender Effects," IZA Discussion Papers 7315, Institute of Labor Economics (IZA).
  15. Słoczyński, Tymon, 2013. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," MPRA Paper 50660, University Library of Munich, Germany.
  16. Arun Advani & Tymon Słoczyński, 2013. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers 64/13, Institute for Fiscal Studies.

Articles

  1. 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.
  2. Tymon Słoczyński, 2020. "Average Gaps and Oaxaca–Blinder Decompositions: A Cautionary Tale about Regression Estimates of Racial Differences in Labor Market Outcomes," ILR Review, Cornell University, ILR School, vol. 73(3), pages 705-729, May.
  3. Adam Izdebski & Tymon Słoczyński & Anton Bonnier & Grzegorz Koloch & Katerina Kouli, 2020. "Landscape Change and Trade in Ancient Greece: Evidence from Pollen Data," The Economic Journal, Royal Economic Society, vol. 130(632), pages 2596-2618.
  4. Arun Advani & Toru Kitagawa & Tymon Słoczyński, 2019. "Mostly harmless simulations? Using Monte Carlo studies for estimator selection," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 893-910, September.
  5. Słoczyński, Tymon & Wooldridge, Jeffrey M., 2018. "A General Double Robustness Result For Estimating Average Treatment Effects," Econometric Theory, Cambridge University Press, vol. 34(1), pages 112-133, February.
  6. Izdebski, Adam & Koloch, Grzegorz & Słoczyński, Tymon & Tycner, Marta, 2016. "On the use of palynological data in economic history: New methods and an application to agricultural output in Central Europe, 0–2000AD," Explorations in Economic History, Elsevier, vol. 59(C), pages 17-39.
  7. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.

Software components

  1. Derya Uysal & Tymon Słoczyński & Jeffrey M. Wooldridge, 2023. "KAPPALATE: Stata module to estimate the local average treatment effect (LATE) using Abadie's kappa approach and other weighting estimators," Statistical Software Components S459257, Boston College Department of Economics, revised 30 Jun 2024.
  2. Tymon Sloczynski, 2019. "HETTREATREG: Stata module to compute diagnostics for linear regression when treatment effects are heterogeneous," Statistical Software Components S458715, Boston College Department of Economics, revised 24 Jan 2023.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Tymon Sloczynski, 2020. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," CESifo Working Paper Series 8331, CESifo.

    Mentioned in:

    1. Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights (REStat forthcoming) in ReplicationWiki ()

Working papers

  1. Tymon Sloczynski & S. Derya Uysal & Jeffrey M. Wooldridge & Derya Uysal, 2022. "Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment," CESifo Working Paper Series 10105, CESifo.

    Cited by:

    1. Tymon S{l}oczy'nski & S. Derya Uysal & Jeffrey M. Wooldridge, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Papers 2204.07672, arXiv.org, revised Feb 2024.
    2. Tymon Sloczynski & Derya Uysal & Jeffrey Wooldridge, 2023. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Rationality and Competition Discussion Paper Series 424, CRC TRR 190 Rationality and Competition.
    3. Tymon S{l}oczy'nski & S. Derya Uysal & Jeffrey M. Wooldridge, 2023. "Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects," Papers 2310.18563, arXiv.org.
    4. Yukun Ma & Pedro H. C. Sant'Anna & Yuya Sasaki & Takuya Ura, 2023. "Doubly Robust Estimators with Weak Overlap," Papers 2304.08974, arXiv.org, revised Apr 2023.

  2. Tymon Sloczynski & S. Derya Uysal & Jeffrey M. Wooldridge & Derya Uysal, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," CESifo Working Paper Series 9715, CESifo.

    Cited by:

    1. Fukai, Taiyo & Kondo, Ayako, 2024. "Access to Formal Childcare for Toddlers and Parental Employment and Earnings," IZA Discussion Papers 16880, Institute of Labor Economics (IZA).

  3. Tymon Sloczynski, 2021. "When Should We (Not) Interpret Linear IV Estimands as LATE?," CESifo Working Paper Series 9064, CESifo.

    Cited by:

    1. Danny Cohen-Zada & Itay Attar & Todd Elder, 2024. "Measuring and Correcting Monotonicity Bias:The Case of School Entrance Age Effects," Working Papers 2406, Ben-Gurion University of the Negev, Department of Economics.
    2. Tymon S{l}oczy'nski & S. Derya Uysal & Jeffrey M. Wooldridge, 2022. "Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment," Papers 2208.01300, arXiv.org, revised Nov 2022.

  4. Tymon Sloczynski, 2020. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," CESifo Working Paper Series 8331, CESifo.

    Cited by:

    1. Florian Léon & Laurent Weill, 2021. "Elections Hinder Firms' Access to Credit," Working Papers hal-03462407, HAL.
    2. Jiang, Lingqing & Zhu, Zhen, 2022. "Information exchange and multiple peer groups: A natural experiment in an online community," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 543-562.
    3. Paul Goldsmith-Pinkham & Peter Hull & Michal Koles'ar, 2021. "Contamination Bias in Linear Regressions," Papers 2106.05024, arXiv.org, revised Jun 2024.
    4. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.

  5. Advani, Arun & Kitagawa, Toru & Sloczynski, Tymon, 2019. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," CAGE Online Working Paper Series 411, Competitive Advantage in the Global Economy (CAGE).

    Cited by:

    1. Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," CEPR Discussion Papers 13430, C.E.P.R. Discussion Papers.
    2. Harsh Parikh & Carlos Varjao & Louise Xu & Eric Tchetgen Tchetgen, 2022. "Validating Causal Inference Methods," Papers 2202.04208, arXiv.org, revised Jul 2022.
    3. Tymon S{l}oczy'nski & S. Derya Uysal & Jeffrey M. Wooldridge, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Papers 2204.07672, arXiv.org, revised Feb 2024.
    4. Susan Athey & Guido W. Imbens & Jonas Metzger & Evan M. Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," NBER Working Papers 26566, National Bureau of Economic Research, Inc.
    5. Arun Advani & Toru Kitagawa & Tymon S{l}oczy'nski, 2018. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," Papers 1809.09527, arXiv.org, revised Apr 2019.
    6. Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2021. "Empirical Monte Carlo Evidence on Estimation of Timing-of-Events Models," IZA Discussion Papers 14015, Institute of Labor Economics (IZA).
    7. Tymon Sloczynski & Derya Uysal & Jeffrey Wooldridge, 2023. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Rationality and Competition Discussion Paper Series 424, CRC TRR 190 Rationality and Competition.
    8. Yiyan Huang & Cheuk Hang Leung & Siyi Wang & Yijun Li & Qi Wu, 2024. "Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators," Papers 2402.18392, arXiv.org, revised Oct 2024.
    9. Cummins Joseph & Miller Douglas L. & Smith Brock & Simon David, 2024. "Matching on Noise: Finite Sample Bias in the Synthetic Control Estimator," Journal of Econometric Methods, De Gruyter, vol. 13(1), pages 67-95, January.
    10. Florian Gunsilius, 2019. "A path-sampling method to partially identify causal effects in instrumental variable models," Papers 1910.09502, arXiv.org, revised Jun 2020.

  6. Anton Bonnier & Tymon Sloczynski & Grzegorz Koloch & Katerina Kouli & Adam Izdebski, 2018. "Landscape Change and Trade in Ancient Greece: Evidence from Pollen Data," Working Papers 126, Brandeis University, Department of Economics and International Business School.

    Cited by:

    1. Gupta, Abhimanyu & Halket, Jonathan, 2023. "Household sorting in an ancient setting," Journal of Urban Economics, Elsevier, vol. 135(C).

  7. 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.

    Cited by:

    1. Strobl, Renate & Wunsch, Conny, 2018. "Identification of causal mechanisms based on between-subject double randomization designs," Working papers 2018/19, Faculty of Business and Economics - University of Basel.
    2. Strobl, Renate & Wunsch, Conny, 2017. "Does Voluntary Risk Taking Affect Solidarity? Experimental Evidence from Kenya," IZA Discussion Papers 10906, Institute of Labor Economics (IZA).
    3. Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
    4. Brantly Callaway & Pedro H. C. Sant'Anna, 2018. "Difference-in-Differences with Multiple Time Periods," Papers 1803.09015, arXiv.org, revised Dec 2020.
    5. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2020. "Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis," Econometrica, Econometric Society, vol. 88(1), pages 265-296, January.
    6. Arun Advani & Toru Kitagawa & Tymon S{l}oczy'nski, 2018. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," Papers 1809.09527, arXiv.org, revised Apr 2019.
    7. Lane, Nathan, 2022. "Manufacturing Revolutions: Industrial Policy and Industrialization in South Korea," EconStor Preprints 235845, ZBW - Leibniz Information Centre for Economics, revised 2022.
    8. Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically Efficient Estimation of the Average Linear Regression Function," NBER Working Papers 25234, National Bureau of Economic Research, Inc.
    9. Bruce E. Hansen & Seojeong Lee, 2021. "Inference for Iterated GMM Under Misspecification," Econometrica, Econometric Society, vol. 89(3), pages 1419-1447, May.

  8. Tymon Sloczynski, 2018. "Average Gaps and Oaxaca–Blinder Decompositions: A Cautionary Tale about Regression Estimates of Racial Differences in Labor Market Outcomes," Working Papers 127, Brandeis University, Department of Economics and International Business School.

    Cited by:

    1. Brajaraja Mishra, 2019. "Households’ attitude about ecosystem conservation after implementation of the Forest Rights Act, 2006, in Lakhari Valley Wildlife Sanctuary, India," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 21(1), pages 1-23, June.

  9. Sloczynski, Tymon, 2015. "New Evidence on Linear Regression and Treatment Effect Heterogeneity," IZA Discussion Papers 9491, Institute of Labor Economics (IZA).

    Cited by:

    1. Sloczynski, Tymon, 2013. "Population Average Gender Effects," IZA Discussion Papers 7315, Institute of Labor Economics (IZA).
    2. Boris Kaiser, 2013. "Decomposing Differences in Arithmetic Means: A Doubly-Robust Estimation Approach," Diskussionsschriften dp1308, Universitaet Bern, Departement Volkswirtschaft.
    3. Himaz, Rozana, 2020. "Sweet are the fruit of adversity? The impact of fathers’ death on child non-cognitive outcomes in Ethiopia," Economics & Human Biology, Elsevier, vol. 38(C).
    4. Marenya, Paswel & Kassie, Menale & Jaleta, Moti & Rahut, Dil Bahadur, 2015. "Does gender of the household head explain smallholder farmers' maize market positions? Evidence from Ethiopia," 2015 Conference, August 9-14, 2015, Milan, Italy 212229, International Association of Agricultural Economists.

  10. Sloczynski, Tymon, 2015. "Average Wage Gaps and Oaxaca–Blinder Decompositions," IZA Discussion Papers 9036, Institute of Labor Economics (IZA).

    Cited by:

    1. Magdalena Smyk & Joanna Tyrowicz & Lucas van der Velde, 2021. "A Cautionary Note on the Reliability of the Online Survey Data: The Case of Wage Indicator," Sociological Methods & Research, , vol. 50(1), pages 429-464, February.

  11. Sloczynski, Tymon & Wooldridge, Jeffrey M., 2014. "A General Double Robustness Result for Estimating Average Treatment Effects," IZA Discussion Papers 8084, Institute of Labor Economics (IZA).

    Cited by:

    1. Negi Akanksha, 2024. "Doubly weighted M-estimation for nonrandom assignment and missing outcomes," Journal of Causal Inference, De Gruyter, vol. 12(1), pages 1-25.
    2. Sasaki, Yuya & Ura, Takuya, 2023. "Estimation and inference for policy relevant treatment effects," Journal of Econometrics, Elsevier, vol. 234(2), pages 394-450.
    3. Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
    4. Hartley, Robert Paul & Lamarche, Carlos, 2017. "Behavioral Responses and Welfare Reform: Evidence from a Randomized Experiment," IZA Discussion Papers 10905, Institute of Labor Economics (IZA).
    5. Michael Brei & Leonardo Gambacorta & Marcella Lucchetta & Bruno Maria Parigi, 2023. "How effective are bad bank resolutions? New evidence from Europe," Post-Print hal-04272198, HAL.
    6. Gianluca Biggi & Martina Iori & Julia Mazzei & Andrea Mina, 2024. "Green Intelligence: The AI content of green technologies," LEM Papers Series 2024/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Lewbel, Arthur & Choi, Jin Young & Zhou, Zhuzhu, 2023. "Over-identified Doubly Robust identification and estimation," Journal of Econometrics, Elsevier, vol. 235(1), pages 25-42.
    8. Kim, Jun Hyung & Koh, Yu Kyung & Park, Jinseong, 2022. "Mental Health Consequences of Working from Home during the Pandemic," GLO Discussion Paper Series 960 [rev.], Global Labor Organization (GLO).
    9. Echeverría, Lucía, 2020. "Modelos colectivos de consumo y distribución intra-hogar. Teoría y aplicaciones," Nülan. Deposited Documents 3832, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    10. Nabeel Asharaf & Richard S. J. Tol, 2024. "The Impact of Pradhan Mantri Ujjwala Yojana on Indian Households," Papers 2403.17112, arXiv.org.
    11. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
    12. Arun Advani & Toru Kitagawa & Tymon S{l}oczy'nski, 2018. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," Papers 1809.09527, arXiv.org, revised Apr 2019.
    13. Zetterqvist, Johan & Waernbaum, Ingeborg, 2020. "Semi-parametric estimation of multi-valued treatment effects for the treated:estimating equations and sandwich estimators," Working Paper Series 2020:4, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    14. Petri Bockerman & Alex Bryson & Ilari Ilmakunnas & Pekka Ilmakunnas, 2024. "Does high involvement management make you work longer? Insights from linked survey and register data," DoQSS Working Papers 24-01, Quantitative Social Science - UCL Social Research Institute, University College London.
    15. Levchak, Philip J., 2021. "Stop-and-frisk in New York City: Estimating racial disparities in post-stop outcomes," Journal of Criminal Justice, Elsevier, vol. 73(C).
    16. Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2018. "A Unified Framework for Efficient Estimation of General Treatment Models," Papers 1808.04936, arXiv.org, revised Aug 2018.
    17. Nikolic, Jelena & Rubil, Ivica & Tomić, Iva, 2017. "Pre-crisis reforms, austerity measures and the public-private wage gap in two emerging economies," Economic Systems, Elsevier, vol. 41(2), pages 248-265.
    18. Sebastian Calonico & Rafael Di Tella & Juan Cruz Lopez Del Valle, 2022. "Causal Inference During a Pandemic: Evidence on the Effectiveness of Nebulized Ibuprofen as an Unproven Treatment for COVID-19 in Argentina," NBER Working Papers 30084, National Bureau of Economic Research, Inc.
    19. Liang Jiang & Oliver B. Linton & Haihan Tang & Yichong Zhang, 2022. "Improving Estimation Efficiency via Regression-Adjustment in Covariate-Adaptive Randomizations with Imperfect Compliance," Papers 2201.13004, arXiv.org, revised Jun 2023.
    20. Sant’Anna, Pedro H.C. & Song, Xiaojun, 2019. "Specification tests for the propensity score," Journal of Econometrics, Elsevier, vol. 210(2), pages 379-404.
    21. George Mgendi & Shiping Mao & Fangbin Qiao, 2021. "Is a Training Program Sufficient to Improve the Smallholder Farmers’ Productivity in Africa? Empirical Evidence from a Chinese Agricultural Technology Demonstration Center in Tanzania," Sustainability, MDPI, vol. 13(3), pages 1-23, February.
    22. Long, Wenjin & Pang, Xiaopeng & Dong, Xiao-yuan & Zeng, Junxia, 2020. "Is rented accommodation a good choice for primary school students' academic performance? – Evidence from rural China," China Economic Review, Elsevier, vol. 62(C).
    23. Tymon S{l}oczy'nski & S. Derya Uysal & Jeffrey M. Wooldridge, 2023. "Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects," Papers 2310.18563, arXiv.org.
    24. Navjot Sangwan & Luca Tasciotti, 2023. "Losing the Plot: The Impact of Urban Agriculture on Household Food Expenditure and Dietary Diversity in Sub-Saharan African Countries," Agriculture, MDPI, vol. 13(2), pages 1-20, January.
    25. Jiaqi Chen & Song Xu & Jing Gao, 2020. "The Mixed Effect of China’s New Health Care Reform on Health Insurance Coverage and the Efficiency of Health Service Utilisation: A Longitudinal Approach," IJERPH, MDPI, vol. 17(5), pages 1-13, March.
    26. Joseph Kopecky, 2024. "A Match Made in Maastricht: Estimating The Treatment Effect of the Euro On Trade," Open Economies Review, Springer, vol. 35(1), pages 159-187, February.
    27. Kalbfuß, Jörg & Odermatt, Reto & Stutzer, Alois, 2018. "Medical marijuana laws and mental health in the United States," LSE Research Online Documents on Economics 88697, London School of Economics and Political Science, LSE Library.
    28. David Boto-García & Marta Escalonilla, 2022. "University education, mismatched jobs: are there gender differences in the drivers of overeducation?," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(3), pages 861-902, October.
    29. Stefano Iandolo & Anna Ferragina, 2021. "International activities and innovation: Evidence from Italy with a special regressor approach," The World Economy, Wiley Blackwell, vol. 44(11), pages 3300-3325, November.
    30. Callaway, Brantly & Li, Tong, 2023. "Policy evaluation during a pandemic," Journal of Econometrics, Elsevier, vol. 236(1).
    31. Tan, Xiujie & Dong, Hanmin & Liu, Yishuang & Su, Xin & Li, Zixian, 2022. "Green bonds and corporate performance: A potential way to achieve green recovery," Renewable Energy, Elsevier, vol. 200(C), pages 59-68.
    32. Difang Huang & Jiti Gao & Tatsushi Oka, 2022. "Semiparametric Single-Index Estimation for Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 10/22, Monash University, Department of Econometrics and Business Statistics.
    33. Antonio Filippin & Marco Mantovani, 2024. "Moral Preferences over Health-Wealth Trade-offs," Working Papers 531, University of Milano-Bicocca, Department of Economics.
    34. Brantly Callaway, 2022. "Difference-in-Differences for Policy Evaluation," Papers 2203.15646, arXiv.org.
    35. Georgios Nalbantis & Tim Pawlowski & Dominik Schreyer, 2023. "Substitution Effects and the Transnational Demand for European Soccer Telecasts," Journal of Sports Economics, , vol. 24(4), pages 407-442, May.
    36. Yang Ning & Sida Peng & Jing Tao, 2020. "Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data," Papers 2009.03151, arXiv.org.

  12. Izdebski, Adam & Koloch, Grzegorz & Słoczyński, Tymon & Tycner-Wolicka, Marta, 2014. "On the Use of Palynological Data in Economic History: New Methods and an Application to Agricultural Output in Central Europe, 0–2000 AD," MPRA Paper 54582, University Library of Munich, Germany.

    Cited by:

    1. Bosshart, Luis Salomon & Dittmar, Jeremiah Edward, 2021. "Pandemic shock and economic divergence: political economy before and after the black death," LSE Research Online Documents on Economics 113853, London School of Economics and Political Science, LSE Library.
    2. Luis Bosshart & Jeremiah Dittmar, 2021. "Pandemic shock and economic divergence: political economy before and after the black death," CEP Discussion Papers dp1805, Centre for Economic Performance, LSE.

  13. Sloczynski, Tymon, 2013. "Population Average Gender Effects," IZA Discussion Papers 7315, Institute of Labor Economics (IZA).

    Cited by:

    1. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    2. Huber, Martin & Laffers, Lukáš, 2020. "Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition," FSES Working Papers 514, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    3. Huber, Martin & Solovyeva, Anna, 2018. "On the sensitivity of wage gap decompositions," FSES Working Papers 497, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

  14. Słoczyński, Tymon, 2013. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," MPRA Paper 50660, University Library of Munich, Germany.

    Cited by:

    1. Bui, Anh Tuan & Nguyen, Cuong Viet & Pham, Thu Phuong & Phung, Duc Tung, 2022. "Female leadership and borrowing constraints: Evidence from an emerging economy," International Review of Financial Analysis, Elsevier, vol. 81(C).
    2. Albanese, Giuseppe & Ciani, Emanuele & de Blasio, Guido, 2021. "Anything new in town? The local effects of urban regeneration policies in Italy," Regional Science and Urban Economics, Elsevier, vol. 86(C).
    3. Carrieri, V. & Jones, A.M., 2015. "The Income-Health Relationship “Beyond the Mean†: New Evidence from Biomarkers," Health, Econometrics and Data Group (HEDG) Working Papers 15/22, HEDG, c/o Department of Economics, University of York.
    4. Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically Efficient Estimation of the Average Linear Regression Function," NBER Working Papers 25234, National Bureau of Economic Research, Inc.
    5. Katarzyna Bech & Joanna Tyrowicz, 2017. "Estimating gender wage gap in the presence of efficiency wages -- evidence from European data," GRAPE Working Papers 20, GRAPE Group for Research in Applied Economics.
    6. Igor Jakubiak, 2015. "Immigrants in the United Kingdom: wage gap and origin," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 43.
    7. Anna Chojecka & Joanna Tyrowicz, 2017. "Zmienne pominięte a luka płacowa kobiet - wnioski z analizy uwzględniającej wydajność," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 29-43.
    8. Marcin Wroński, 2022. "Household wealth in Central and Eastern Europe Explaining the wealth gap between Poland and Hungary," Bank i Kredyt, Narodowy Bank Polski, vol. 53(5), pages 443-474.

  15. Arun Advani & Tymon Słoczyński, 2013. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers 64/13, Institute for Fiscal Studies.

    Cited by:

    1. Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," CEPR Discussion Papers 13430, C.E.P.R. Discussion Papers.
    2. Martin Huber & Michael Lechner & Giovanni Mellace, 2016. "The Finite Sample Performance of Estimators for Mediation Analysis Under Sequential Conditional Independence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 139-160, January.
    3. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    4. Pei‐An Liao & Hung‐Hao Chang & Yi‐Ju Su, 2020. "Cash transfer program and child underweight—Empirical evidence from a causal mediation analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 51(2), pages 291-303, March.

Articles

  1. 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.
    See citations under working paper version above.
  2. Adam Izdebski & Tymon Słoczyński & Anton Bonnier & Grzegorz Koloch & Katerina Kouli, 2020. "Landscape Change and Trade in Ancient Greece: Evidence from Pollen Data," The Economic Journal, Royal Economic Society, vol. 130(632), pages 2596-2618.
    See citations under working paper version above.
  3. Arun Advani & Toru Kitagawa & Tymon Słoczyński, 2019. "Mostly harmless simulations? Using Monte Carlo studies for estimator selection," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 893-910, September.
    See citations under working paper version above.
  4. Słoczyński, Tymon & Wooldridge, Jeffrey M., 2018. "A General Double Robustness Result For Estimating Average Treatment Effects," Econometric Theory, Cambridge University Press, vol. 34(1), pages 112-133, February.
    See citations under working paper version above.
  5. Izdebski, Adam & Koloch, Grzegorz & Słoczyński, Tymon & Tycner, Marta, 2016. "On the use of palynological data in economic history: New methods and an application to agricultural output in Central Europe, 0–2000AD," Explorations in Economic History, Elsevier, vol. 59(C), pages 17-39.
    See citations under working paper version above.
  6. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    See citations under working paper version above.Sorry, no citations of articles recorded.

Software components

    Sorry, no citations of software components recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 18 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (9) 2012-02-20 2012-07-08 2013-04-20 2014-01-24 2014-04-18 2015-05-22 2019-02-04 2019-04-22 2022-05-16. Author is listed
  2. NEP-ORE: Operations Research (5) 2014-01-24 2020-07-27 2021-05-17 2021-05-24 2021-08-30. Author is listed
  3. NEP-AGR: Agricultural Economics (2) 2014-03-30 2018-11-12
  4. NEP-HIS: Business, Economic and Financial History (2) 2014-03-30 2018-11-12
  5. NEP-LMA: Labor Markets - Supply, Demand, and Wages (2) 2019-02-04 2019-04-29
  6. NEP-DEM: Demographic Economics (1) 2013-04-20
  7. NEP-EXP: Experimental Economics (1) 2019-04-29
  8. NEP-ISF: Islamic Finance (1) 2021-08-30
  9. NEP-LAB: Labour Economics (1) 2013-10-25
  10. NEP-SEA: South East Asia (1) 2015-11-15

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