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Pablo A. Mitnik

Personal Details

First Name:Pablo
Middle Name:A.
Last Name:Mitnik
Suffix:
RePEc Short-ID:pmi852
[This author has chosen not to make the email address public]
https://web.stanford.edu/~pmitnik/

Research output

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Jump to: Working papers Articles Software Chapters

Working papers

  1. Pablo Mitnik & Anne-Line Helsø & Victoria L. Bryant, 2020. "Inequality of Opportunity for Income in Denmark and the United States: A Comparison Based on Administrative Data," NBER Working Papers 27835, National Bureau of Economic Research, Inc.
  2. Pablo Mitnik & David Grusky, 2018. "The Intergenerational Elasticity of What? The Case for Redefining the Workhorse Measure of Economic Mobility," Working Papers 2018-043, Human Capital and Economic Opportunity Working Group.
  3. Pablo Mitnik, 2018. "Intergenerational Income Elasticities, Instrumental Variable Estimation, and Bracketing Strategies," Working Papers 2018-044, Human Capital and Economic Opportunity Working Group.
  4. Pablo Mitnik & Victoria Bryant & David Grusky, 2018. "A Very Uneven Playing Field: Economic Mobility in the United States," Working Papers 2018-097, Human Capital and Economic Opportunity Working Group.
  5. Pablo Mitnik, 2018. "Estimating the Intergenerational Elasticity of Expected Income with Short-Run Income Measures: A Generalized Error-in-Variables Model," Working Papers 2018-045, Human Capital and Economic Opportunity Working Group.

Articles

  1. Pablo A. Mitnik & Erin Cumberworth, 2021. "Measuring Social Class with Changing Occupational Classifications: Reliability, Competing Measurement Strategies, and the 1970–1980 U.S. Classification Divide," Sociological Methods & Research, , vol. 50(1), pages 265-309, February.
  2. Pablo A. Mitnik & Erin Cumberworth & David B. Grusky, 2016. "Social Mobility in a High-Inequality Regime," The ANNALS of the American Academy of Political and Social Science, , vol. 663(1), pages 140-184, January.
  3. Pablo Mitnik & Sunyoung Baek, 2013. "The Kumaraswamy distribution: median-dispersion re-parameterizations for regression modeling and simulation-based estimation," Statistical Papers, Springer, vol. 54(1), pages 177-192, February.

Software components

  1. Pablo Mitnik, 2019. "IGEINTB: Stata module to estimate intergenerational income elasticities (IGEs) with multiple sets of instruments," Statistical Software Components S458700, Boston College Department of Economics.
  2. Pablo Mitnik, 2019. "IGESETCI: Stata module to compute confidence intervals for partially identified intergenerational income elasticities (IGEs)," Statistical Software Components S458702, Boston College Department of Economics.
  3. Pablo Mitnik, 2019. "IGESET: Stata module to estimate intergenerational income elasticities (IGEs) with a single set of instruments," Statistical Software Components S458701, Boston College Department of Economics.
  4. Pablo Mitnik, 2016. "KANOM: Stata module to estimate Krippendorff's alpha for nominal variables," Statistical Software Components S458277, Boston College Department of Economics.

Chapters

  1. Pablo A. Mitnik & Anne-Line Helsø & Victoria L. Bryant, 2020. "Inequality of Opportunity for Income in Denmark and the United States: A Comparison Based on Administrative Data," NBER Chapters, in: Measuring Distribution and Mobility of Income and Wealth, pages 317-382, National Bureau of Economic Research, Inc.

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. Pablo Mitnik & Anne-Line Helsø & Victoria L. Bryant, 2020. "Inequality of Opportunity for Income in Denmark and the United States: A Comparison Based on Administrative Data," NBER Working Papers 27835, National Bureau of Economic Research, Inc.

    Cited by:

    1. Preuss, Marcel & Reyes, Germán & Somerville, Jason & Wu, Joy, 2022. "Inequality of Opportunity and Income Redistribution," VfS Annual Conference 2022 (Basel): Big Data in Economics 264138, Verein für Socialpolitik / German Economic Association.
    2. Preuss, Marcel & Reyes, Germán & Somerville, Jason & Wu, Joy, 2024. "Inequality of Opportunity and Income Redistribution," IZA Discussion Papers 17155, Institute of Labor Economics (IZA).
    3. Marcel Preuss & Germán Reyes & Jason Somerville & Joy Wu, 2023. "Inequality of Opportunity and Income Redistribution," CESifo Working Paper Series 10383, CESifo.
    4. Marcel Preuss & Germán Reyes & Jason Somerville & Joy Wu, 2023. "Inequality of Opportunity and Income Redistribution," CEDLAS, Working Papers 0309, CEDLAS, Universidad Nacional de La Plata.
    5. Marcel Preuss & Germán Reyes & Jason Somerville & Joy Wu, 2024. "Inequality of Opportunity and Income Redistribution," CRC TR 224 Discussion Paper Series crctr224_2024_491, University of Bonn and University of Mannheim, Germany.
    6. Marcel Preuss & Germ'an Reyes & Jason Somerville & Joy Wu, 2022. "Inequality of Opportunity and Income Redistribution," Papers 2209.00534, arXiv.org, revised Oct 2024.

  2. Pablo Mitnik & David Grusky, 2018. "The Intergenerational Elasticity of What? The Case for Redefining the Workhorse Measure of Economic Mobility," Working Papers 2018-043, Human Capital and Economic Opportunity Working Group.

    Cited by:

    1. J. M. C. Santos Silva & Silvana Tenreyro, 2022. "The Log of Gravity at 15," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 21(3), pages 423-437, September.
    2. Pablo Mitnik, 2018. "Estimating the Intergenerational Elasticity of Expected Income with Short-Run Income Measures: A Generalized Error-in-Variables Model," Working Papers 2018-045, Human Capital and Economic Opportunity Working Group.

  3. Pablo Mitnik, 2018. "Intergenerational Income Elasticities, Instrumental Variable Estimation, and Bracketing Strategies," Working Papers 2018-044, Human Capital and Economic Opportunity Working Group.

    Cited by:

    1. Pablo Mitnik & David Grusky, 2018. "The Intergenerational Elasticity of What? The Case for Redefining the Workhorse Measure of Economic Mobility," Working Papers 2018-043, Human Capital and Economic Opportunity Working Group.

  4. Pablo Mitnik & Victoria Bryant & David Grusky, 2018. "A Very Uneven Playing Field: Economic Mobility in the United States," Working Papers 2018-097, Human Capital and Economic Opportunity Working Group.

    Cited by:

    1. Moshe Justman & Hadas Stiassnie, 2020. "Intergenerational mobility in lifetime income," Working Papers 522, ECINEQ, Society for the Study of Economic Inequality.
    2. Ahsan,Md. Nazmul & Emran, M. Shahe & Jiang,Hanchen & Shilpi,Forhad J., 2022. "What the Mean Measures of Mobility Miss : Learning About Intergenerational Mobilityfrom Conditional Variance," Policy Research Working Paper Series 10074, The World Bank.
    3. Pablo A. Mitnik & Anne-Line Helsø & Victoria L. Bryant, 2020. "Inequality of Opportunity for Income in Denmark and the United States: A Comparison Based on Administrative Data," NBER Chapters, in: Measuring Distribution and Mobility of Income and Wealth, pages 317-382, National Bureau of Economic Research, Inc.
    4. Anne‐Line Helsø, 2021. "Intergenerational Income Mobility in Denmark and the United States," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(2), pages 508-531, April.

  5. Pablo Mitnik, 2018. "Estimating the Intergenerational Elasticity of Expected Income with Short-Run Income Measures: A Generalized Error-in-Variables Model," Working Papers 2018-045, Human Capital and Economic Opportunity Working Group.

    Cited by:

    1. Pablo Mitnik & David Grusky, 2018. "The Intergenerational Elasticity of What? The Case for Redefining the Workhorse Measure of Economic Mobility," Working Papers 2018-043, Human Capital and Economic Opportunity Working Group.
    2. Pablo Mitnik, 2018. "Intergenerational Income Elasticities, Instrumental Variable Estimation, and Bracketing Strategies," Working Papers 2018-044, Human Capital and Economic Opportunity Working Group.
    3. Pablo Mitnik & Victoria Bryant & David Grusky, 2018. "A Very Uneven Playing Field: Economic Mobility in the United States," Working Papers 2018-097, Human Capital and Economic Opportunity Working Group.
    4. Pablo A. Mitnik & Anne-Line Helsø & Victoria L. Bryant, 2020. "Inequality of Opportunity for Income in Denmark and the United States: A Comparison Based on Administrative Data," NBER Chapters, in: Measuring Distribution and Mobility of Income and Wealth, pages 317-382, National Bureau of Economic Research, Inc.

Articles

  1. Pablo A. Mitnik & Erin Cumberworth & David B. Grusky, 2016. "Social Mobility in a High-Inequality Regime," The ANNALS of the American Academy of Political and Social Science, , vol. 663(1), pages 140-184, January.

    Cited by:

    1. Luis Fuentes & Oscar Mac-Clure, 2020. "The middle classes and the subjective representation of urban space in Santiago de Chile," Urban Studies, Urban Studies Journal Limited, vol. 57(13), pages 2612-2627, October.
    2. Kuha, Jouni & Bukodi, Erzsébet & Goldthorpe, John H., 2021. "Mediation analysis for associations of categorical variables: the role of education in social class mobility in Britain," LSE Research Online Documents on Economics 110157, London School of Economics and Political Science, LSE Library.

  2. Pablo Mitnik & Sunyoung Baek, 2013. "The Kumaraswamy distribution: median-dispersion re-parameterizations for regression modeling and simulation-based estimation," Statistical Papers, Springer, vol. 54(1), pages 177-192, February.

    Cited by:

    1. Artur J. Lemonte & Germán Moreno-Arenas, 2020. "On a heavy-tailed parametric quantile regression model for limited range response variables," Computational Statistics, Springer, vol. 35(1), pages 379-398, March.
    2. Mustafa Ç. Korkmaz & Emrah Altun & Morad Alizadeh & M. El-Morshedy, 2021. "The Log Exponential-Power Distribution: Properties, Estimations and Quantile Regression Model," Mathematics, MDPI, vol. 9(21), pages 1-19, October.
    3. Aknouche, Abdelhakim & Dimitrakopoulos, Stefanos, 2021. "Autoregressive conditional proportion: A multiplicative-error model for (0,1)-valued time series," MPRA Paper 110954, University Library of Munich, Germany, revised 06 Dec 2021.
    4. Francesca Condino & Filippo Domma, 2023. "Unit Distributions: A General Framework, Some Special Cases, and the Regression Unit-Dagum Models," Mathematics, MDPI, vol. 11(13), pages 1-25, June.
    5. Suelena S. Rocha & Patrícia L. Espinheira & Francisco Cribari‐Neto, 2021. "Residual and local influence analyses for unit gamma regressions," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 75(2), pages 137-160, May.
    6. Carlos García & Zaida Quiroz & Marcos Prates, 2023. "Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima–Peru," Computational Statistics, Springer, vol. 38(2), pages 603-621, June.
    7. Fábio Prataviera & Aline Martineli Batista & Edwin M. M. Ortega & Gauss M. Cordeiro & Bruno Montoani Silva, 2023. "The Logit Exponentiated Power Exponential Regression with Applications," Annals of Data Science, Springer, vol. 10(3), pages 713-735, June.
    8. Guilherme Pumi & Cristine Rauber & Fábio M. Bayer, 2020. "Kumaraswamy regression model with Aranda-Ordaz link function," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(4), pages 1051-1071, December.
    9. David E. Giles, 2024. "New Goodness-of-Fit Tests for the Kumaraswamy Distribution," Stats, MDPI, vol. 7(2), pages 1-16, April.
    10. Vlad Stefan Barbu & Alex Karagrigoriou & Andreas Makrides, 2021. "Reliability and Inference for Multi State Systems: The Generalized Kumaraswamy Case," Mathematics, MDPI, vol. 9(16), pages 1-17, August.
    11. Josmar Mazucheli & Bruna Alves & Mustafa Ç. Korkmaz & Víctor Leiva, 2022. "Vasicek Quantile and Mean Regression Models for Bounded Data: New Formulation, Mathematical Derivations, and Numerical Applications," Mathematics, MDPI, vol. 10(9), pages 1-23, April.
    12. Ricardo Rasmussen Petterle & Wagner Hugo Bonat & Cassius Tadeu Scarpin, 2019. "Quasi-beta Longitudinal Regression Model Applied to Water Quality Index Data," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(2), pages 346-368, June.

Software components

    Sorry, no citations of software components recorded.

Chapters

  1. Pablo A. Mitnik & Anne-Line Helsø & Victoria L. Bryant, 2020. "Inequality of Opportunity for Income in Denmark and the United States: A Comparison Based on Administrative Data," NBER Chapters, in: Measuring Distribution and Mobility of Income and Wealth, pages 317-382, National Bureau of Economic Research, Inc.
    See citations under working paper version above.Sorry, no citations of chapters recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 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 (1) 2018-08-27
  2. NEP-LAB: Labour Economics (1) 2020-10-05
  3. NEP-LMA: Labor Markets - Supply, Demand, and Wages (1) 2019-01-14
  4. NEP-MAC: Macroeconomics (1) 2019-01-14

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