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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]
http://www.sloczynski.pl/

Affiliation

(95%) Department of Economics, International Business School
Brandeis University

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

(5%) 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. Sloczynski, Tymon, 2021. "When Should We (Not) Interpret Linear IV Estimands as LATE?," IZA Discussion Papers 14349, Institute of Labor Economics (IZA).
  2. Tymon Sloczynski, 2021. "When Should We (Not) Interpret Linear IV Estimands as LATE?," CESifo Working Paper Series 9064, CESifo.
  3. Tymon Sloczynski, 2020. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," CESifo Working Paper Series 8331, CESifo.
  4. 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).
  5. 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 Businesss School.
  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 Businesss School.
  7. 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 Businesss School.
  8. Sloczynski, Tymon, 2015. "Average Wage Gaps and Oaxaca–Blinder Decompositions," IZA Discussion Papers 9036, Institute of Labor Economics (IZA).
  9. 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.
  10. 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).
  11. Advani, Arun & Sloczynski, Tymon, 2013. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 7874, Institute of Labor Economics (IZA).
  12. Sloczynski, Tymon, 2013. "Population Average Gender Effects," IZA Discussion Papers 7315, Institute of Labor Economics (IZA).
  13. Słoczyński, Tymon, 2012. "New Evidence on Linear Regression and Treatment Effect Heterogeneity," MPRA Paper 39524, University Library of Munich, Germany.
  14. Tymon Sloczynski, 2012. "The Oaxaca-Blinder unexplained component as a treatment effects estimator," Working Papers 61, Department of Applied Econometrics, Warsaw School of Economics.

Articles

  1. Adam Izdebski & Tymon Słoczyński & Anton Bonnier & Grzegorz Koloch & Katerina Kouli, 2020. "Landscape Change and Trade in Ancient Greece: Evidence from Pollen Data," Economic Journal, Royal Economic Society, vol. 130(632), pages 2596-2618.
  2. 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.
  3. 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.
  4. 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.
  5. 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. 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.

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.

Working papers

  1. 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. 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.
    3. Susan Athey & Guido Imbens & Jonas Metzger & Evan Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," Papers 1909.02210, arXiv.org, revised Jul 2020.
    4. 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).
    5. Florian Gunsilius, 2019. "A path-sampling method to partially identify causal effects in instrumental variable models," Papers 1910.09502, arXiv.org, revised Jun 2020.

  2. 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 Businesss School.

    Cited by:

    1. Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
    2. 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.
    3. Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically efficient estimation of the average linear regression function," Papers 1810.12511, arXiv.org.
    4. Wunsch, Conny & Strobl, Renate, 2018. "Identification of Causal Mechanisms Based on Between-Subject Double Randomization Designs," IZA Discussion Papers 11626, Institute of Labor Economics (IZA).
    5. Bruce E. Hansen & Seojeong Lee, 2021. "Inference for Iterated GMM Under Misspecification," Econometrica, Econometric Society, vol. 89(3), pages 1419-1447, May.
    6. Renate Strobl & Conny Wunsch, 2017. "Does Voluntary Risk Taking Affect Solidarity? Experimental Evidence from Kenya," CESifo Working Paper Series 6578, CESifo.

  3. 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 Businesss 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.

  4. 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.

  5. 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. Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
    2. 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).
    3. 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.
    4. Sant’Anna, Pedro H.C. & Song, Xiaojun, 2019. "Specification tests for the propensity score," Journal of Econometrics, Elsevier, vol. 210(2), pages 379-404.
    5. 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, Open Access Journal, vol. 13(3), pages 1-23, February.
    6. Arthur Lewbel & Jin-Young Choi & Zhuzhu Zhou, 2019. "Over-Identified Doubly Robust Identification and Estimation," Boston College Working Papers in Economics 1003, Boston College Department of Economics, revised 01 Feb 2021.
    7. 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.
    8. Yang Ning & Sida Peng & Jing Tao, 2020. "Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data," Papers 2009.03151, arXiv.org.
    9. 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).
    10. 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.
    11. 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).
    12. Brantly Callaway & Tong Li, 2021. "Policy Evaluation during a Pandemic," Papers 2105.06927, arXiv.org.

  6. Advani, Arun & Sloczynski, Tymon, 2013. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 7874, Institute of Labor Economics (IZA).

    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. 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.
    3. 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.
    4. 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.

  7. 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 & 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.
    3. 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.

  8. Słoczyński, Tymon, 2012. "New Evidence on Linear Regression and Treatment Effect Heterogeneity," MPRA Paper 39524, University Library of Munich, Germany.

    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. 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.
    4. 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).
    5. Boris Kaiser, 2016. "Decomposing differences in arithmetic means: a doubly robust estimation approach," Empirical Economics, Springer, vol. 50(3), pages 873-899, May.

  9. Tymon Sloczynski, 2012. "The Oaxaca-Blinder unexplained component as a treatment effects estimator," Working Papers 61, Department of Applied Econometrics, Warsaw School of Economics.

    Cited by:

    1. Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically efficient estimation of the average linear regression function," Papers 1810.12511, arXiv.org.
    2. Giuseppe Albanese & Emanuele Ciani & Guido de Blasio, 2019. "Anything new in town? The local effects of Urban Regeneration Policies in Italy," Temi di discussione (Economic working papers) 1214, Bank of Italy, Economic Research and International Relations Area.
    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. 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.
    5. Igor Jakubiak, 2015. "Immigrants in the United Kingdom: wage gap and origin," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 43.
    6. 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.

Articles

  1. 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.
  2. 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.
  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.
    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

Access and download statistics for all items

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 16 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 (8) 2012-02-20 2012-07-08 2013-04-20 2014-01-24 2014-04-18 2015-05-22 2019-02-04 2019-04-22. Author is listed
  2. NEP-ORE: Operations Research (4) 2014-01-24 2020-07-27 2021-05-17 2021-05-24. Author is listed
  3. NEP-AGR: Agricultural Economics (2) 2014-03-30 2018-11-12
  4. NEP-HIS: Business, Economic & Financial History (2) 2014-03-30 2018-11-12
  5. NEP-LMA: Labor Markets - Supply, Demand, & 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-LAB: Labour Economics (1) 2013-10-25
  9. NEP-SEA: South East Asia (1) 2015-11-15

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