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Robert S. Martin

Not to be confused with: Robert F. Martin

Personal Details

First Name:Robert
Middle Name:Spencer
Last Name:Martin
Suffix:
RePEc Short-ID:pma3161
[This author has chosen not to make the email address public]
https://www.bls.gov/pir/authors/martin.htm
Terminal Degree:2017 Economics Department; Michigan State University (from RePEc Genealogy)

Affiliation

(50%) Bureau of Labor Statistics
Department of Labor
Government of the United States

Washington, District of Columbia (United States)
http://www.bls.gov/
RePEc:edi:blsgvus (more details at EDIRC)

(50%) Conference on Research in Income and Wealth (CRIW)

Boston, Massachusetts (United States)
http://www.nber.org/CRIW/
RePEc:edi:criwwus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Kaicheng Chen & Robert S. Martin & Jeffrey M. Wooldridge, 2023. "Another Look at the Linear Probability Model and Nonlinear Index Models," Papers 2308.15338, arXiv.org, revised Oct 2023.
  2. Thesia I. Garner & Robert S. Martin & Brett Matsumoto & Scott Curtin, 2022. "Distribution of U.S. Personal Consumption Expenditures for 2019: A Prototype Based on Consumer Expenditure Survey Data," Economic Working Papers 557, Bureau of Labor Statistics.
  3. Robert S. Martin, 2022. "Democratic Aggregation: Issues and Implications for Consumer Price Indexes," Economic Working Papers 600, Bureau of Labor Statistics.
  4. Robert Martin & Andy Sadler & Sara Stanley & William Thompson & Jonathan Weinhagen, 2020. "An Alternative Formula for Elementary Producer Price Indexes," Economic Working Papers 525, Bureau of Labor Statistics.
  5. Robert Martin, 2020. "Changing Tastes Versus Specification Error in Cost-of-Living Measurement," Economic Working Papers 531, Bureau of Labor Statistics.
  6. Robert S. Martin, 2019. "Revisiting taste change in cost-of-living measurement," Economic Working Papers 515, Bureau of Labor Statistics.
  7. Do Won Kwak & Robert S. Martin & Jeffrey M. Wooldridge, 2018. "The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation," Economic Working Papers 502, Bureau of Labor Statistics.
  8. Robert S. Martin, 2018. "Exponential Panel Models with Coefficient Heterogeneity," Economic Working Papers 503, Bureau of Labor Statistics.
  9. Robert S. Martin, 2017. "Estimation of Average Marginal Effects in Multiplicative Unobserved Effects Panel Models," Economic Working Papers 497, Bureau of Labor Statistics.

Articles

  1. Thesia I. Garner & Robert Martin & Brett Matsumoto & Scott Curtin, 2024. "A distributional approach to U.S. personal consumption expenditures: an overview," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 59(3), pages 166-173, July.
  2. Kwak Do Won & Martin Robert S. & Wooldridge Jeffrey M., 2023. "The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation," Journal of Econometric Methods, De Gruyter, vol. 12(1), pages 33-56, January.
  3. Martin Robert S. & Sadler Andy & Stanley Sara & Thompson William & Weinhagen Jonathan, 2022. "The Geometric Young Formula for Elementary Aggregate Producer Price Indexes," Journal of Official Statistics, Sciendo, vol. 38(1), pages 239-253, March.
  4. Martin, Robert S., 2017. "Estimation of average marginal effects in multiplicative unobserved effects panel models," Economics Letters, Elsevier, vol. 160(C), pages 16-19.

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. Kaicheng Chen & Robert S. Martin & Jeffrey M. Wooldridge, 2023. "Another Look at the Linear Probability Model and Nonlinear Index Models," Papers 2308.15338, arXiv.org, revised Oct 2023.

    Cited by:

    1. Roychowdhury, Punarjit, 2024. "Social Identity and Depression Among the Elderly: Evidence from India," GLO Discussion Paper Series 1466, Global Labor Organization (GLO).

  2. Thesia I. Garner & Robert S. Martin & Brett Matsumoto & Scott Curtin, 2022. "Distribution of U.S. Personal Consumption Expenditures for 2019: A Prototype Based on Consumer Expenditure Survey Data," Economic Working Papers 557, Bureau of Labor Statistics.

    Cited by:

    1. Gaillard, Alexandre & Hellwig, Christian & Wangner, Philipp & Werquin, Nicolas, 2023. "Consumption, Wealth, and Income Inequality: A Tale of Tails," TSE Working Papers 23-1493, Toulouse School of Economics (TSE).
    2. Marta Cota & Ante Sterc, 2024. "Financial Skills and Search in the Mortgage Market," CERGE-EI Working Papers wp780, The Center for Economic Research and Graduate Education - Economics Institute, Prague.

  3. Robert S. Martin, 2022. "Democratic Aggregation: Issues and Implications for Consumer Price Indexes," Economic Working Papers 600, Bureau of Labor Statistics.

    Cited by:

    1. Thesia I. Garner & Robert S. Martin & Brett Matsumoto & Scott Curtin, 2022. "Distribution of U.S. Personal Consumption Expenditures for 2019: A Prototype Based on Consumer Expenditure Survey Data," Economic Working Papers 557, Bureau of Labor Statistics.

  4. Robert Martin, 2020. "Changing Tastes Versus Specification Error in Cost-of-Living Measurement," Economic Working Papers 531, Bureau of Labor Statistics.

    Cited by:

    1. Abe, Naohito & 阿部, 修人 & Rao, D.S.Prasada, 2020. "Generalized Logarithmic Index Numbers with Demand Shocks: Bridging the Gap between Theory and Practice," RCESR Discussion Paper Series DP20-1, Research Center for Economic and Social Risks, Institute of Economic Research, Hitotsubashi University.

  5. Robert S. Martin, 2019. "Revisiting taste change in cost-of-living measurement," Economic Working Papers 515, Bureau of Labor Statistics.

    Cited by:

    1. Baqaee, David Rezza & Burstein, Ariel, 2021. "Welfare and Output with Income Effects and Taste Shocks," CEPR Discussion Papers 16132, C.E.P.R. Discussion Papers.

  6. Do Won Kwak & Robert S. Martin & Jeffrey M. Wooldridge, 2018. "The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation," Economic Working Papers 502, Bureau of Labor Statistics.

    Cited by:

    1. Rosmer, Paul, 2024. "A Comment on "Preference Discovery in University Admissions: The Case for Dynamic Multioffer Mechanisms"," I4R Discussion Paper Series 166, The Institute for Replication (I4R).

  7. Robert S. Martin, 2017. "Estimation of Average Marginal Effects in Multiplicative Unobserved Effects Panel Models," Economic Working Papers 497, Bureau of Labor Statistics.

    Cited by:

    1. Cäcilia Lipowski & Ralf A. Wilke & Bertrand Koebel, 2022. "Fertility, economic incentives and individual heterogeneity: Register data‐based evidence from France and Germany," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 515-546, December.
    2. Jeffrey M Wooldridge, 2023. "Simple approaches to nonlinear difference-in-differences with panel data," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 31-66.
    3. Nicholas Brown & Jeffrey Wooldridge, 2023. "More Efficient Estimation of Multiplicative Panel Data Models in the Presence of Serial Correlation," Working Paper 1497, Economics Department, Queen's University.

Articles

  1. Kwak Do Won & Martin Robert S. & Wooldridge Jeffrey M., 2023. "The Robustness of Conditional Logit for Binary Response Panel Data Models with Serial Correlation," Journal of Econometric Methods, De Gruyter, vol. 12(1), pages 33-56, January.
    See citations under working paper version above.
  2. Martin, Robert S., 2017. "Estimation of average marginal effects in multiplicative unobserved effects panel models," Economics Letters, Elsevier, vol. 160(C), pages 16-19.
    See citations under working paper version above.Sorry, no citations of articles 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 1 paper 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-DCM: Discrete Choice Models (1) 2023-10-02. Author is listed
  2. NEP-ECM: Econometrics (1) 2023-10-02. Author is listed

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