Additive Nonparametric Regression in the Presence of Endogenous Regressors
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DOI: 10.1080/07350015.2014.917590
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- Ozabaci, Deniz & Henderson, Daniel J. & Su, Liangjun, 2014. "Additive Nonparametric Regression in the Presence of Endogenous Regressors," IZA Discussion Papers 8144, Institute of Labor Economics (IZA).
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Cited by:
- Teresa D. Harrison & Daniel J. Henderson & Deniz Ozabaci & Christopher A. Laincz, 2023. "Does one size fit all in the non‐profit donation production function?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(2), pages 373-402, April.
- Centorrino Samuele & Feve Frederique & Florens Jean-Pierre, 2017.
"Additive Nonparametric Instrumental Regressions: A Guide to Implementation,"
Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-25, January.
- Samuele Centorrino & Frederique Feve & Jean-Pierre Florens, 2017. "Additive Nonparametric Instrumental Regressions: A Guide to Implementation," Department of Economics Working Papers 17-06, Stony Brook University, Department of Economics.
- Regmi, Krishna & J. Henderson, Daniel, 2019. "Labor demand shocks at birth and cognitive achievement during childhood," Economics of Education Review, Elsevier, vol. 73(C).
- Qingliang Fan & Zijian Guo & Ziwei Mei & Cun-Hui Zhang, 2023. "Inference for Nonlinear Endogenous Treatment Effects Accounting for High-Dimensional Covariate Complexity," Papers 2310.08063, arXiv.org, revised Jun 2024.
- Daniel J. Henderson & Anne-Charlotte Souto, 2018.
"An Introduction to Nonparametric Regression for Labor Economists,"
Journal of Labor Research, Springer, vol. 39(4), pages 355-382, December.
- Henderson, Daniel J. & Souto, Anne-Charlotte, 2018. "An Introduction to Nonparametric Regression for Labor Economists," IZA Discussion Papers 11914, Institute of Labor Economics (IZA).
- Xin Geng & Carlos Martins-Filho & Feng Yao, 2015.
"Estimation of a Partially Linear Regression in Triangular Systems,"
Working Papers
15-46, Department of Economics, West Virginia University.
- Xin Geng & Carlos Martins-Filho & Feng Yao, 2018. "Estimation of a Partially Linear Regression in Triangular Systems," Working Papers 18-05, Department of Economics, West Virginia University.
- Hao Dong & Taisuke Otsu & Luke Taylor, 2022.
"Nonparametric estimation of additive models with errors-in-variables,"
Econometric Reviews, Taylor & Francis Journals, vol. 41(10), pages 1164-1204, November.
- Dong, Hao & Otsu, Taisuke & Taylor, Luke, 2022. "Nonparametric estimation of additive models with errors-in-variables," LSE Research Online Documents on Economics 116007, London School of Economics and Political Science, LSE Library.
- Kourtellos, Andros & Stengos, Thanasis & Sun, Yiguo, 2022.
"Endogeneity In Semiparametric Threshold Regression,"
Econometric Theory, Cambridge University Press, vol. 38(3), pages 562-595, June.
- Andros Kourtellos & Thanasis Stengos & Yiguo Sun, 2017. "Endogeneity in Semiparametric Threshold Regression," Working Paper series 17-13, Rimini Centre for Economic Analysis.
- Andros Kourtellos & Thanasis Stengos & Yiguo Sun, 2017. "Endogeneity in Semiparametric Threshold Regression," University of Cyprus Working Papers in Economics 10-2017, University of Cyprus Department of Economics.
- Chi‐Yang Chu & Mingming Jiang, 2021. "Financial depth, income inequality, and economic transition," Southern Economic Journal, John Wiley & Sons, vol. 88(1), pages 199-244, July.
- Taining Wang & Feng Yao & Subal C. Kumbhakar, 2024. "A flexible stochastic production frontier model with panel data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 564-588, June.
- Regmi, Krishna & Henderson, Daniel J., 2019. "Labor Demand Shocks at Birth and Cognitive Achievement during Childhood," IZA Discussion Papers 12521, Institute of Labor Economics (IZA).
- Mustafa Koroglu, 2019. "Growth and Debt: An Endogenous Smooth Coefficient Approach," JRFM, MDPI, vol. 12(1), pages 1-22, February.
- Kumbhakar, Subal C. & Li, Mingyang & Lien, Gudbrand, 2023. "Do subsidies matter in productivity and profitability changes?," Economic Modelling, Elsevier, vol. 123(C).
More about this item
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
- J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
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