IDEAS home Printed from https://ideas.repec.org/f/pmi852.html
   My authors  Follow this author

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

as
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. Marcel Preuss & Germ'an Reyes & Jason Somerville & Joy Wu, 2022. "Inequality of Opportunity and Income Redistribution," Papers 2209.00534, arXiv.org, revised Nov 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, 2021. "Intergenerational Mobility in Lifetime Income," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(4), pages 928-949, December.
    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 & 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.
    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. Pablo Mitnik, 2018. "Intergenerational Income Elasticities, Instrumental Variable Estimation, and Bracketing Strategies," Working Papers 2018-044, Human Capital and Economic Opportunity Working Group.

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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. David E. Giles, 2024. "New Goodness-of-Fit Tests for the Kumaraswamy Distribution," Stats, MDPI, vol. 7(2), pages 1-16, April.
    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

Access and download statistics for all items

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

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Pablo A. Mitnik should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.