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A semiparametric quantile panel data model with an application to estimating the growth effect of FDI

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  • Cai, Zongwu
  • Chen, Linna
  • Fang, Ying

Abstract

This paper estimates the impact of foreign direct investment on economic growth by proposing a new semiparametric quantile panel data model with correlated random effects, in which some of the coefficients are allowed to depend on some smooth economic variables while other coefficients remain constant. A three-stage estimation procedure is proposed to estimate both constant and functional coefficients and their asymptotic properties are investigated. A simple and easily implemented procedure for making inferences is proposed. Monte Carlo simulation is conducted to examine the finite sample performance of the proposed estimators. Finally, using the cross-country panel data, we find a strong empirical evidence of the existence of the absorptive capacity hypothesis, together with another new finding that FDI has much stronger growth effects for countries with fast economic growth than for those with slow economic growth.

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  • Cai, Zongwu & Chen, Linna & Fang, Ying, 2018. "A semiparametric quantile panel data model with an application to estimating the growth effect of FDI," Journal of Econometrics, Elsevier, vol. 206(2), pages 531-553.
    • Handle: RePEc:eee:econom:v:206:y:2018:i:2:p:531-553
    DOI: 10.1016/j.jeconom.2018.06.013
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    2. George S. Atsalakis & Elie Bouri & Fotios Pasiouras, 2021. "Natural disasters and economic growth: a quantile on quantile approach," Annals of Operations Research, Springer, vol. 306(1), pages 83-109, November.
    3. Wenjun Chu & Shanglei Chai & Xi Chen & Mo Du, 2020. "Does the Impact of Carbon Price Determinants Change with the Different Quantiles of Carbon Prices? Evidence from China ETS Pilots," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    4. Van Thi Cam Ha & Mark Holmes & Tinh Doan & Gazi Hassan, 2021. "Does foreign investment enhance domestic manufacturing firms’ labour productivity? Evidence from a quantile regression approach," Economic Change and Restructuring, Springer, vol. 54(3), pages 637-654, August.
    5. Shengjie Hong & Yu-Chin Hsu & Yuanyuan Wan, 2023. "Subvector inference for Varying Coefficient Models with Partial Identification," Working Papers tecipa-756, University of Toronto, Department of Economics.
    6. Ben-Salha Ousama & Zmami Mourad, 2020. "The impact of private capital flows on economic growth in the MENA region," Economics and Business Review, Sciendo, vol. 6(3), pages 45-67, August.
    7. Zishu Zhan & Yang Li & Yuhong Yang & Cunjie Lin, 2023. "Model averaging for semiparametric varying coefficient quantile regression models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 75(4), pages 649-681, August.
    8. Xingcai Zhou & Jiangyan Wang, 2021. "Panel semiparametric quantile regression neural network for electricity consumption forecasting," Papers 2103.00711, arXiv.org.
    9. Liang Chen, 2019. "Nonparametric Quantile Regressions for Panel Data Models with Large T," Papers 1911.01824, arXiv.org, revised Sep 2020.
    10. Zongwu Cai & Ying Fang & Qiuhua Xu, 2020. "Testing Capital Asset Pricing Models using Functional-Coefficient Panel Data Models with Cross-Sectional Dependence," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202009, University of Kansas, Department of Economics, revised Jul 2020.
    11. Zongwu Cai & Meng Shi & Yue Zhao & Wuqing Wu, 2020. "Testing Financial Hierarchy Based on A PDQ-CRE Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202011, University of Kansas, Department of Economics, revised Jul 2020.
    12. Cai, Zongwu & Fang, Ying & Xu, Qiuhua, 2022. "Testing capital asset pricing models using functional-coefficient panel data models with cross-sectional dependence," Journal of Econometrics, Elsevier, vol. 227(1), pages 114-133.
    13. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
    14. Mei, Jen-Chung, 2021. "Refining vertical productivity spillovers from FDI: Evidence from 32 economies," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 176-191.

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    More about this item

    Keywords

    Correlated random effect; Foreign direct investment; Panel data; Quantile regression model; Local quasi-likelihood; Semiparametric model; Varying coefficient model;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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