IDEAS home Printed from https://ideas.repec.org/f/pma2923.html
   My authors  Follow this author

Matthew A. Masten

Personal Details

First Name:Matthew
Middle Name:A.
Last Name:Masten
Suffix:
RePEc Short-ID:pma2923
[This author has chosen not to make the email address public]
http://www.mattmasten.com
Terminal Degree:2013 Department of Economics; Northwestern University (from RePEc Genealogy)

Affiliation

Department of Economics
Duke University

Durham, North Carolina (United States)
http://www.econ.duke.edu/
RePEc:edi:dedukus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Matthew A. Masten & Alexandre Poirier & Muyang Ren, 2025. "A General Approach to Relaxing Unconfoundedness," Papers 2501.15400, arXiv.org.
  2. Paul Diegert & Matthew A. Masten & Alexandre Poirier, 2025. "An Axiomatic Approach to Comparing Sensitivity Parameters," Papers 2504.21106, arXiv.org, revised Jun 2025.
  3. Brendan Kline & Matthew A. Masten, 2025. "Finite Population Identification and Design-Based Sensitivity Analysis," Papers 2504.14127, arXiv.org, revised Jun 2025.
  4. Matthew A. Masten & Alexandre Poirier, 2022. "The Effect of Omitted Variables on the Sign of Regression Coefficients," Papers 2208.00552, arXiv.org, revised Jun 2025.
  5. Paul Diegert & Matthew A. Masten & Alexandre Poirier, 2022. "Assessing Omitted Variable Bias when the Controls are Endogenous," Papers 2206.02303, arXiv.org, revised Jun 2025.
  6. Matthew A. Masten & Alexandre Poirier, 2022. "Choosing Exogeneity Assumptions in Potential Outcome Models," Papers 2205.02288, arXiv.org.
  7. David A. Benson & Matthew A. Masten & Alexander Torgovitsky, 2020. "ivcrc: An Instrumental Variables Estimator for the Correlated Random Coefficients Model," Finance and Economics Discussion Series 2020-046r1, Board of Governors of the Federal Reserve System (U.S.), revised 04 Apr 2022.
  8. Matthew A. Masten & Alexandre Poirier & Linqi Zhang, 2020. "Assessing Sensitivity to Unconfoundedness: Estimation and Inference," Papers 2012.15716, arXiv.org.
  9. Matthew Masten & Alexandre Poirier, 2019. "tesensitivity: A Stata Package for Assessing the Unconfoundedness Assumption," 2019 Stata Conference 51, Stata Users Group.
  10. Matthew A. Masten & Alexandre Poirier, 2018. "Salvaging Falsified Instrumental Variable Models," Papers 1812.11598, arXiv.org, revised Jan 2020.
  11. Matthew A. Masten & Alexandre Poirier, 2018. "Interpreting Quantile Independence," Papers 1804.10957, arXiv.org.
  12. Matthew A. Masten & Alexandre Poirier, 2017. "Inference on Breakdown Frontiers," Papers 1705.04765, arXiv.org, revised Feb 2019.
  13. Matthew A. Masten & Alexandre Poirier, 2017. "Identification of Treatment Effects under Conditional Partial Independence," Papers 1707.09563, arXiv.org.
  14. Matthew Masten & Alexandre Poirier, 2016. "Partial independence in nonseparable models," CeMMAP working papers 26/16, Institute for Fiscal Studies.
  15. Joachim Freyberger & Matthew Masten, 2016. "Compactness of infinite dimensional parameter spaces," CeMMAP working papers 01/16, Institute for Fiscal Studies.
  16. Matthew Masten & Alexander Torgovitsky, 2014. "Instrumental variables estimation of a generalized correlated random coefficients model," CeMMAP working papers 02/14, Institute for Fiscal Studies.
  17. Matthew Masten, 2014. "Random coefficients on endogenous variables in simultaneous equations models," CeMMAP working papers 01/14, Institute for Fiscal Studies.

Articles

  1. Matthew A. Masten & Alexandre Poirier & Linqi Zhang, 2024. "Assessing Sensitivity to Unconfoundedness: Estimation and Inference," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(1), pages 1-13, January.
  2. Matthew A. Masten, 2023. "Minimax-regret treatment rules with many treatments," The Japanese Economic Review, Springer, vol. 74(4), pages 501-537, October.
  3. Matthew A Masten & Alexandre Poirier, 2023. "Choosing exogeneity assumptions in potential outcome models," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 327-349.
  4. David Benson & Matthew A. Masten & Alexander Torgovitsky, 2022. "ivcrc: An instrumental-variables estimator for the correlated random-coefficients model," Stata Journal, StataCorp LLC, vol. 22(3), pages 469-495, September.
  5. Matthew A. Masten & Alexandre Poirier, 2021. "Salvaging Falsified Instrumental Variable Models," Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.
  6. Matthew A. Masten & Alexandre Poirier, 2020. "Inference on breakdown frontiers," Quantitative Economics, Econometric Society, vol. 11(1), pages 41-111, January.
  7. Joachim Freyberger & Matthew A. Masten, 2019. "A practical guide to compact infinite dimensional parameter spaces," Econometric Reviews, Taylor & Francis Journals, vol. 38(9), pages 979-1006, October.
  8. Matthew A. Masten & Alexandre Poirier, 2018. "Identification of Treatment Effects Under Conditional Partial Independence," Econometrica, Econometric Society, vol. 86(1), pages 317-351, January.
  9. Matthew A Masten, 2018. "Random Coefficients on Endogenous Variables in Simultaneous Equations Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(2), pages 1193-1250.
  10. Matthew A. Masten & Alexander Torgovitsky, 2016. "Identification of Instrumental Variable Correlated Random Coefficients Models," The Review of Economics and Statistics, MIT Press, vol. 98(5), pages 1001-1005, December.
  11. Chicu, Mark & Masten, Matthew A., 2013. "A specification test for discrete choice models," Economics Letters, Elsevier, vol. 121(2), pages 336-339.
  12. Jose Miguel Abito & Katarina Borovickova & Hays Golden & Jacob Goldin & Matthew A. Masten & Miguel Morin & Alexandre Poirier & Vincent Pons & Israel Romem & Tyler Williams & Chamna Yoon, 2011. "How Should the Graduate Economics Core be Changed?," The Journal of Economic Education, Taylor & Francis Journals, vol. 42(4), pages 414-417, October.

Software components

  1. Paul Diegert & Matthew A. Masten & Alexandre Poirier, 2022. "REGSENSITIVITY: Stata module for regression sensitivity analysis," Statistical Software Components S459088, Boston College Department of Economics, revised 29 Dec 2024.
  2. Linqi Zhang & Paul Diegert & Matthew A. Masten & Alexandre Poirier, 2021. "TESENSITIVITY: Stata module for assessing sensitivity to the unconfoundedness assumption," Statistical Software Components S458896, Boston College Department of Economics.
  3. David Benson & Matt Masten & Alexander Torgovitsky, 2020. "IVCRC: Stata module to implement the instrumental variables correlated random coefficients estimator," Statistical Software Components S458797, Boston College Department of Economics, revised 06 Dec 2022.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Rankings

This author is among the top 5% authors according to these criteria:
  1. Number of Journal Pages, Weighted by Recursive Impact Factor
  2. Number of Journal Pages, Weighted by Number of Authors and Simple Impact Factors
  3. Number of Journal Pages, Weighted by Number of Authors and Recursive Impact Factors

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 15 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 (14) 2014-02-21 2016-06-25 2016-07-16 2017-11-05 2018-05-07 2019-01-14 2020-07-27 2021-02-01 2022-06-13 2022-07-18 2022-09-05 2025-02-17 2025-05-19 2025-05-26. Author is listed
  2. NEP-DCM: Discrete Choice Models (5) 2016-07-16 2017-11-05 2019-08-26 2020-07-27 2021-02-01. Author is listed
  3. NEP-DEM: Demographic Economics (1) 2022-07-18
  4. NEP-GER: German Papers (1) 2016-07-16
  5. NEP-MAC: Macroeconomics (1) 2025-05-19
  6. NEP-NET: Network Economics (1) 2016-06-25
  7. NEP-ORE: Operations Research (1) 2020-07-27
  8. NEP-RMG: Risk Management (1) 2018-05-07

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, Matthew A. Masten 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.