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Konstantin Kashin

Personal Details

First Name:Konstantin
Middle Name:
Last Name:Kashin
Suffix:
RePEc Short-ID:pka533
[This author has chosen not to make the email address public]

Affiliation

Economics Department
Brown University

Providence, Rhode Island (United States)
http://www.econ.brown.edu/
RePEc:edi:edbrous (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Adam N. Glynn & Konstantin Kashin, 2018. "Front-Door Versus Back-Door Adjustment With Unmeasured Confounding: Bias Formulas for Front-Door and Hybrid Adjustments With Application to a Job Training Program," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1040-1049, July.
  2. Adam N. Glynn & Konstantin Kashin, 2017. "Front‐Door Difference‐in‐Differences Estimators," American Journal of Political Science, John Wiley & Sons, vol. 61(4), pages 989-1002, October.
  3. Peter Diamond & Kashin Konstantin & Gary King & Samir Soneji, 2016. "Correspondence: Scoring Social Security Proposals," Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 245-246, Spring.
  4. Kashin, Konstantin & King, Gary & Soneji, Samir, 2015. "Explaining Systematic Bias and Nontransparency in U.S. Social Security Administration Forecasts," Political Analysis, Cambridge University Press, vol. 23(3), pages 336-362, July.
  5. Konstantin Kashin & Gary King & Samir Soneji, 2015. "Systematic Bias and Nontransparency in US Social Security Administration Forecasts," Journal of Economic Perspectives, American Economic Association, vol. 29(2), pages 239-258, Spring.

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.

Articles

  1. Adam N. Glynn & Konstantin Kashin, 2018. "Front-Door Versus Back-Door Adjustment With Unmeasured Confounding: Bias Formulas for Front-Door and Hybrid Adjustments With Application to a Job Training Program," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1040-1049, July.

    Cited by:

    1. Romy Müller & Franziska Kessler & David W. Humphrey & Julian Rahm, 2021. "Data in Context: How Digital Transformation Can Support Human Reasoning in Cyber-Physical Production Systems," Future Internet, MDPI, vol. 13(6), pages 1-36, June.
    2. Guido W. Imbens, 2020. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1129-1179, December.
    3. Ali Tafti & Galit Shmueli, 2020. "Beyond Overall Treatment Effects: Leveraging Covariates in Randomized Experiments Guided by Causal Structure," Information Systems Research, INFORMS, vol. 31(4), pages 1183-1199, December.
    4. Shantanu Gupta & Zachary C. Lipton & David Childers, 2020. "Estimating Treatment Effects with Observed Confounders and Mediators," Papers 2003.11991, arXiv.org, revised Jun 2021.

  2. Adam N. Glynn & Konstantin Kashin, 2017. "Front‐Door Difference‐in‐Differences Estimators," American Journal of Political Science, John Wiley & Sons, vol. 61(4), pages 989-1002, October.

    Cited by:

    1. Yechan Park & Yuya Sasaki, 2024. "A Bracketing Relationship for Long-Term Policy Evaluation with Combined Experimental and Observational Data," Papers 2401.12050, arXiv.org.
    2. Paul Hunermund & Elias Bareinboim, 2019. "Causal Inference and Data Fusion in Econometrics," Papers 1912.09104, arXiv.org, revised Mar 2023.
    3. David Bartram, 2021. "Cross-Sectional Model-Building for Research on Subjective Well-Being: Gaining Clarity on Control Variables," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(2), pages 725-743, June.
    4. Matteo CM Casiraghi & Eugenio Cusumano & Angelos Chryssogelos, 2024. "European integration and political party logos: A ‘visual Europeanization’?," European Union Politics, , vol. 25(1), pages 86-105, March.
    5. Shantanu Gupta & Zachary C. Lipton & David Childers, 2020. "Estimating Treatment Effects with Observed Confounders and Mediators," Papers 2003.11991, arXiv.org, revised Jun 2021.

  3. Peter Diamond & Kashin Konstantin & Gary King & Samir Soneji, 2016. "Correspondence: Scoring Social Security Proposals," Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 245-246, Spring.

    Cited by:

    1. Oliwia Komada & Krzysztof Makarski & Joanna Tyrowicz, 2017. "Welfare effects of fiscal policy in reforming the pension system," GRAPE Working Papers 11, GRAPE Group for Research in Applied Economics.
    2. Oliwia Komada & Krzysztof Makarski & Joanna Tyrowicz, 2021. "Progressing towards efficiency: the role for labor tax progression in reforming social security," GRAPE Working Papers 57, GRAPE Group for Research in Applied Economics.
    3. Makarski, Krzysztof & Tyrowicz, Joanna & Komada, Oliwia, 2021. "Efficiency versus Insurance: Capital Income Taxation and Privatizing Social Security," IZA Discussion Papers 14805, Institute of Labor Economics (IZA).

  4. Kashin, Konstantin & King, Gary & Soneji, Samir, 2015. "Explaining Systematic Bias and Nontransparency in U.S. Social Security Administration Forecasts," Political Analysis, Cambridge University Press, vol. 23(3), pages 336-362, July.

    Cited by:

    1. Kajal Lahiri & Junyan Zhang & Yongchen Zhao, 2021. "Inefficiency in Social Security Trust Funds Forecasts," CESifo Working Paper Series 9415, CESifo.
    2. Alesina, A. & Passalacqua, A., 2016. "The Political Economy of Government Debt," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2599-2651, Elsevier.
    3. Carlos Patrick Alves da Silva & Claudio Alberto Castelo Branco Puty & Marcelino Silva da Silva & Solon Venâncio de Carvalho & Carlos Renato Lisboa Francês, 2017. "Financial forecasts accuracy in Brazil’s social security system," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-20, August.
    4. Kajal Lahiri & Jianting Hu, 2021. "Productive efficiency in processing social security disability claims: a look back at the 1989–95 surge," Empirical Economics, Springer, vol. 60(1), pages 419-457, January.
    5. Magali Barbieri, 2018. "Investigating the Difference in Mortality Estimates between the Social Security Administration Trustees' Report and the Human Mortality Database," Working Papers wp394, University of Michigan, Michigan Retirement Research Center.
    6. Li Tan & Cory Koedel, 2017. "The Effects of Differential Income Replacement and Mortality on U.S. Social Security Redistribution," Working Papers 1701, Department of Economics, University of Missouri, revised Jun 2019.

  5. Konstantin Kashin & Gary King & Samir Soneji, 2015. "Systematic Bias and Nontransparency in US Social Security Administration Forecasts," Journal of Economic Perspectives, American Economic Association, vol. 29(2), pages 239-258, Spring.

    Cited by:

    1. Kajal Lahiri & Junyan Zhang & Yongchen Zhao, 2021. "Inefficiency in Social Security Trust Funds Forecasts," CESifo Working Paper Series 9415, CESifo.
    2. James Gorry & Dean Scrimgeour, 2018. "Using Engel Curves To Estimate Consumer Price Index Bias For The Elderly," Contemporary Economic Policy, Western Economic Association International, vol. 36(3), pages 539-553, July.
    3. Alesina, A. & Passalacqua, A., 2016. "The Political Economy of Government Debt," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2599-2651, Elsevier.
    4. Carlos Patrick Alves da Silva & Claudio Alberto Castelo Branco Puty & Marcelino Silva da Silva & Solon Venâncio de Carvalho & Carlos Renato Lisboa Francês, 2017. "Financial forecasts accuracy in Brazil’s social security system," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-20, August.
    5. Kajal Lahiri & Jianting Hu, 2021. "Productive efficiency in processing social security disability claims: a look back at the 1989–95 surge," Empirical Economics, Springer, vol. 60(1), pages 419-457, January.
    6. Magali Barbieri, 2018. "Investigating the Difference in Mortality Estimates between the Social Security Administration Trustees' Report and the Human Mortality Database," Working Papers wp394, University of Michigan, Michigan Retirement Research Center.
    7. Li Tan & Cory Koedel, 2017. "The Effects of Differential Income Replacement and Mortality on U.S. Social Security Redistribution," Working Papers 1701, Department of Economics, University of Missouri, revised Jun 2019.

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