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Articles

A Ridge-Regularized Jackknifed Anderson-Rubin Test

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References

  • Anatolyev, S., and Gospodinov, N. (2011), “Specification Testing in Models with Many Instruments,” Econometric Theory, 27, 427–441. DOI: 10.1017/S0266466610000307.
  • Anatolyev, S., and Yaskov, P. (2017), “Asymptotics of Diagonal Elements of Projection Matrices Under Many Instruments/Regressors,” Econometric Theory, 33, 717–738. DOI: 10.1017/S0266466616000165.
  • Anderson, T., and Rubin, H. (1949), “Estimation of the Parameters of a Single Equation in a Complete System of Stochastic Equations,” The Annals of Mathematical Statistics, 20, 46–63. DOI: 10.1214/aoms/1177730090.
  • Andrews, D., and Stock, J. (2007), “Testing with Many Weak Instruments,” Journal of Econometrics, 138, 24–46. DOI: 10.1016/j.jeconom.2006.05.012.
  • Bai, J., and Ng, S. (2010), “Instrumental Variable Estimation in a Data Rich Environment,” Econometric Theory, 26, 1577–1606. DOI: 10.1017/S0266466609990727.
  • Bekker, P., and Crudu, F. (2015), “Jackknife Instrumental Variable Estimation with Heteroskedasticity,” Journal of Econometrics, 185, 332–342. DOI: 10.1016/j.jeconom.2014.08.012.
  • Belloni, A., Chen, D., Chernozhukov, V., and Hansen, C. (2012), “Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain,” Econometrica, 80, 2369–2429.
  • Blandhol, C., Bonney, J., Mogstad, M., and Torgovitsky, A. (2022), “When is TSLS Actually LATE?” Becker Friedman Institute Working Papers (2022-16), 1–68.
  • Boot, T., and Ligtenberg, J. (2023), “Identification- and Many Instrument-Robust Inference via Invariant Moment Conditions,” arXiv preprint arXiv:2303.07822.
  • Bun, M., Farbmacher, H., and Poldermans, R. (2020), “Finite Sample Properties of the GMM Anderson-Rubin Test,” Econometric Reviews, 39, 1042–1056. DOI: 10.1080/07474938.2020.1761149.
  • Burgess, S., and Thompson, S. G. (2021), Mendelian Randomization: Methods for Causal Inference Using Genetic Variants, Boca Raton, FL: CRC Press.
  • Card, D. (2009), “Immigration and Inequality,” American Economic Review Papers and Proceedings, 99, 1–21. DOI: 10.1257/aer.99.2.1.
  • Carrasco, M., and Tchuente, G. (2016), “Regularization Based Anderson Rubin Tests for Many Instruments,” University of Kent, School of Economics Discussion Papers (1608), 1–34.
  • Chao, J., Swanson, N., Hausmann, J., Newey, W., and Woutersen, T. (2012), “Asymptotic Distribution of JIVE in a Heteroskedastic IV Regression with Many Instruments,” Econometric Theory, 28, 42–86. DOI: 10.1017/S0266466611000120.
  • Crudu, F., Mellace, G., and Sándor, Z. (2020), “Inference in Instrumental Variable Models with Heteroskedasticity and Many Instruments,” Econometric Theory, 77, 1–30. DOI: 10.1017/S026646662000016X.
  • Davies, N. M., von Hinke Kessler Scholder, S., Farbmacher, H., Burgess, S., Windmeijer, F., and Smith, G. D. (2015), “The Many Weak Instruments Problem and Mendelian Randomization,” Statistics in Medicine, 34, 454–468. DOI: 10.1002/sim.6358.
  • Gabaix, X., and Koijen, R. (2020), “Granular Instrumental Variables,” NBER Working Paper Series (28204), 1–98.
  • Goldsmith-Pinkham, P., Sorkin, I., and Swift, H. (2020), “Bartik Instruments: What, When, Why, and How,” American Economic Review, 110, 2586–2624. DOI: 10.1257/aer.20181047.
  • Hansen, C., and Kozbur, D. (2014), “Instrumental Variables Estimation with Many Weak Instruments Using Regularized JIVE,” Journal of Econometrics, 182, 290–308. DOI: 10.1016/j.jeconom.2014.04.022.
  • Kaffo, M., and Wang, W. (2017), “On Bootstrap Validity for Specification Testing with Many Weak Instruments,” Economics Letters, 157, 107–111. DOI: 10.1016/j.econlet.2017.06.004.
  • Kapetanios, G., Khalaf, L., and Marcellino, M. (2015), “Factor-Based Identification-Robust Interference in IV Regressions,” Journal of Applied Econometrics, 31, 821–842. DOI: 10.1002/jae.2466.
  • Lim, D., Wang, W., and Zhang, Y. (2024), “A Conditional Linear Combination Test with Many Weak Instruments,” Journal of Econometrics, 238, 105602. DOI: 10.1016/j.jeconom.2023.105602.
  • Lönn, R., and Schotman, P. (2022), “Empirical Asset Pricing with Many Assets and Short Time Series,” SSRN, 1–53.
  • Matsushita, Y., and Otsu, T. (2022), “A Jackknife Lagrange Multiplier Test with Many Weak Instruments,” Econometric Theory, 1–24. DOI: 10.1017/S0266466622000433.
  • Mikusheva, A., and Sun, L. (2022), “Inference with Many Weak Instruments,” Review of Economic Studies, 1–37 (forthcoming).
  • Mueller-Smith, M. (2015), “The Criminal and Labor Market Impacts of Incarceration,” mimeo, 1–59, University of Michigan.
  • Phillips, P. C. B., and Gao, W. Y. (2017), “Structural Inference from Reduced Forms with Many Instruments,” Journal of Econometrics, 199, 96–116. DOI: 10.1016/j.jeconom.2017.05.003.
  • van Duijn, M., and Rouwendal, J. (2021), “Sorting Based on Urban Heritage and Income: Evidence from the Amsterdam Metropolitan Area,” Regional Science and Urban Economics, 90, 1–18. DOI: 10.1016/j.regsciurbeco.2021.103719.