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Benjamin Williams

Personal Details

First Name:Benjamin
Middle Name:
Last Name:Williams
Suffix:
RePEc Short-ID:pwi283
[This author has chosen not to make the email address public]
http://home.gwu.edu/~bdwilliams/
Terminal Degree:2012 Department of Economics; University of Chicago (from RePEc Genealogy)

Affiliation

Department of Economics
George Washington University

Washington, District of Columbia (United States)
https://economics.columbian.gwu.edu/
RePEc:edi:degwuus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Benjamin Williams, 2018. "Identification of the Linear Factor Model," Working Papers 2018-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
  2. Benjamin Williams, 2018. "Identification of a Nonseparable Model under Endogeneity using Binary Proxies for Unobserved Heterogeneity," Working Papers 2018-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
  3. Paul E. Carrillo & Benjamin Williams, 2015. "The Repeat Time-On-The-Market Index," Working Papers 2015-8, The George Washington University, Institute for International Economic Policy.

Articles

  1. Benjamin Williams, 2019. "Identification of a nonseparable model under endogeneity using binary proxies for unobserved heterogeneity," Quantitative Economics, Econometric Society, vol. 10(2), pages 527-563, May.
  2. Mathias Drton & Benjamin Williams, 2011. "Quantifying the failure of bootstrap likelihood ratio tests," Biometrika, Biometrika Trust, vol. 98(4), pages 919-934.

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. Benjamin Williams, 2018. "Identification of the Linear Factor Model," Working Papers 2018-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

    Cited by:

    1. Steven Lehrer, 2019. "How skills and parental valuation of education influence human capital acquisition and early labor market return to human capital in Canada," Working Paper 1416, Economics Department, Queen's University.
    2. James J. Heckman & Tomas Jagelka & Tim Kautz, 2019. "Some Contributions of Economics to the Study of Personality," Working Papers 2019-069, Human Capital and Economic Opportunity Working Group.
    3. Christian Belzil & Julie Pernaudet & François Poinas, 2021. "Estimating Coherency between Survey Data and Incentivized Experimental Data," CIRANO Working Papers 2021s-30, CIRANO.
    4. Papageorge, Nicholas & Ronda, Victor & Zheng, Yu, 2014. "The Economic Value of Breaking Bad: Misbehavior, Schooling and the Labor Market," Economics Working Paper Archive 64574, The Johns Hopkins University,Department of Economics, revised 16 Jun 2020.
    5. Callaway, Brantly & Karami, Sonia, 2023. "Treatment effects in interactive fixed effects models with a small number of time periods," Journal of Econometrics, Elsevier, vol. 233(1), pages 184-208.
    6. Ben-Moshe, Dan, 2018. "Identification Of Joint Distributions In Dependent Factor Models," Econometric Theory, Cambridge University Press, vol. 34(1), pages 134-165, February.
    7. James J. Heckman & John Eric Humphries & Gregory Veramendi, 2018. "The Nonmarket Benefits of Education and Ability," Journal of Human Capital, University of Chicago Press, vol. 12(2), pages 282-304.
    8. Joachim Freyberger, 2021. "Normalizations and misspecification in skill formation models," Papers 2104.00473, arXiv.org, revised Jul 2022.

  2. Benjamin Williams, 2018. "Identification of a Nonseparable Model under Endogeneity using Binary Proxies for Unobserved Heterogeneity," Working Papers 2018-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

    Cited by:

    1. Alicia H. Dang & Roberto Samaniego, 2022. "R&D, Industrial Policy and Growth," JRFM, MDPI, vol. 15(8), pages 1-42, August.

  3. Paul E. Carrillo & Benjamin Williams, 2015. "The Repeat Time-On-The-Market Index," Working Papers 2015-8, The George Washington University, Institute for International Economic Policy.

    Cited by:

    1. Michele Loberto & Andrea Luciani & Marco Pangallo, 2020. "What do online listings tell us about the housing market?," Papers 2004.02706, arXiv.org.
    2. Justin Contat & Malcolm Rogers, 2022. "Housing Supply and Liquidity in the COVID-19 Era," FHFA Staff Working Papers 22-02, Federal Housing Finance Agency.
    3. Liang, Cong & Hui, Eddie C.M. & Yip, Tsz Leung & Huang, Yaoxuan, 2020. "Private land use for public housing projects: The Influence of a Government Announcement on Housing Markets in Hong Kong," Land Use Policy, Elsevier, vol. 99(C).

Articles

  1. Benjamin Williams, 2019. "Identification of a nonseparable model under endogeneity using binary proxies for unobserved heterogeneity," Quantitative Economics, Econometric Society, vol. 10(2), pages 527-563, May.
    See citations under working paper version above.
  2. Mathias Drton & Benjamin Williams, 2011. "Quantifying the failure of bootstrap likelihood ratio tests," Biometrika, Biometrika Trust, vol. 98(4), pages 919-934.

    Cited by:

    1. Ghosal, Rahul & Ghosh, Sujit K., 2022. "Bayesian inference for generalized linear model with linear inequality constraints," Computational Statistics & Data Analysis, Elsevier, vol. 166(C).
    2. Chunlin Wang & Paul Marriott & Pengfei Li, 2022. "A note on the coverage behaviour of bootstrap percentile confidence intervals for constrained parameters," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 85(7), pages 809-831, October.
    3. Zhexiao Lin & Fang Han, 2023. "On the failure of the bootstrap for Chatterjee's rank correlation," Papers 2303.14088, arXiv.org, revised Apr 2023.

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 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 (2) 2018-06-25 2018-06-25
  2. NEP-BAN: Banking (1) 2015-05-09
  3. NEP-URE: Urban and Real Estate Economics (1) 2015-05-09

Corrections

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