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Applied Economics Letters Volume 31, 2024 - Issue 1
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Research Article

Projection properties of constrained nonparametric instrumental variable estimators

Petyo BonevUniversity of St. Gallen, St. Gallen, SwitzerlandCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-6744-8374
ORCID Icon
Pages 1-4 | Published online: 05 Feb 2020

References

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  • Blundell, R., J. L. Horowitz, and M. Parey. 2012. “Measuring the Price Responsiveness of Gasoline Demand: Economic Shape Restrictions and Nonparametric Demand Estimation.” Quantitative Economics 3 (1): 29–51. doi:10.3982/QE91.
  • Chen, X., and D. Pouzo. 2012. “Estimation of Nonparametric Conditional Moment Models with Possibly Nonsmooth Generalized Residuals.” Econometrica 80 (1): 277–321.
  • Darolles, S., Y. Fan, J. P. Florens, and E. Renault. 2011. “Nonparametric Instrumental Regression.” Econometrica 79 (5): 1541–1565.
  • Engl, H., M. Hanke, and A. Neubauer. 1996. Regularization of Inverse Problems. Mathematics and Its Applications. Springer.
  • Grasmair, M., O. Scherzer, and A. Vanhems. 2013. “Nonparametric Instrumental Regression with Non-convex Constraints.” Inverse Problems 29 (3): 035006. doi:10.1088/0266-5611/29/3/035006.
  • Mammen, E., J. S. Marron, B. A. Turlach, and M. P. Wand. 2001. “A General Projection Framework for Constrained Smoothing.” Statistical Science 16 (3): 232–248. doi:10.1214/ss/1009213727.
  • Mammen, E., and C. Thomas-Agnan. 1999. “Smoothing Splines and Shape Restrictions.” Scandinavian Journal of Statistics 26 (2): 239–252. doi:10.1111/sjos.1999.26.issue-2.

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