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Jinghua Lei

Personal Details

First Name:Jinghua
Middle Name:
Last Name:Lei
Suffix:
RePEc Short-ID:ple865
http://sf.ruc.edu.cn/team/cz/9907.html

Affiliation

School of Finance
Renmin University of China

Beijing, China
http://sf.ruc.edu.cn/
RePEc:edi:sfruccn (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Lei, J., 2014. "Essays on nonlinear panel data models," Other publications TiSEM 302d1ae7-0310-43b0-b253-6, Tilburg University, School of Economics and Management.
  2. Lei, J., 2013. "Smoothed Spatial Maximum Score Estimation of Spatial Autoregressive Binary Choice Panel Models," Discussion Paper 2013-061, Tilburg University, Center for Economic Research.
  3. Cizek, P. & Lei, J., 2013. "Identification and Estimation of Nonseparable Single-Index Models in Panel Data with Correlated Random Effects," Discussion Paper 2013-062, Tilburg University, Center for Economic Research.
  4. Cizek, P. & Lei, J. & Ligthart, J.E., 2012. "The Determinants of VAT Introduction : A Spatial Duration Analysis," Discussion Paper 2012-071, Tilburg University, Center for Economic Research.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Lei, J., 2013. "Smoothed Spatial Maximum Score Estimation of Spatial Autoregressive Binary Choice Panel Models," Discussion Paper 2013-061, Tilburg University, Center for Economic Research.

    Cited by:

    1. T. Arduini, 2016. "Distribution Free Estimation of Spatial Autoregressive Binary Choice Panel Data Models," Working Papers wp1052, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Baadi H. Baltagi & Peter H. Egger & Michaela Kesina, 2018. "Contagious Exporting and Foreign Ownership: Evidence from Firms in Shanghai using a Bayesian Spatial Bivariate Probit Model," Center for Policy Research Working Papers 211, Center for Policy Research, Maxwell School, Syracuse University.
    3. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2022. "Bayesian Estimation of Multivariate Panel Probits with Higher-order Network Interdependence and an Application to Firms' Global Market Participation in Guangdong," Center for Policy Research Working Papers 247, Center for Policy Research, Maxwell School, Syracuse University.
    4. Tiziano Arduini & Eleonora Patacchini & Edoardo Rainone, 2015. "Parametric and Semiparametric IV Estimation of Network Models with Selectivity," EIEF Working Papers Series 1509, Einaudi Institute for Economics and Finance (EIEF), revised Oct 2015.
    5. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2018. "Generalized spatial autocorrelation in a panel-probit model with an application to exporting in China," Empirical Economics, Springer, vol. 55(1), pages 193-211, August.
    6. Xu, Xingbai & Lee, Lung-fei, 2015. "Maximum likelihood estimation of a spatial autoregressive Tobit model," Journal of Econometrics, Elsevier, vol. 188(1), pages 264-280.

  2. Cizek, P. & Lei, J., 2013. "Identification and Estimation of Nonseparable Single-Index Models in Panel Data with Correlated Random Effects," Discussion Paper 2013-062, Tilburg University, Center for Economic Research.

    Cited by:

    1. Čížek, Pavel & Lei, Jinghua, 2018. "Identification and estimation of nonseparable single-index models in panel data with correlated random effects," Journal of Econometrics, Elsevier, vol. 203(1), pages 113-128.
    2. Sadikoglu, Serhan, 2019. "Essays in econometric theory," Other publications TiSEM 99d83644-f9dc-49e3-a4e1-5, Tilburg University, School of Economics and Management.
    3. Cizek, Pavel & Sadikoglu, Serhan, 2022. "Nonseparable Panel Models with Index Structure and Correlated Random Effects," Discussion Paper 2022-009, Tilburg University, Center for Economic Research.

  3. Cizek, P. & Lei, J. & Ligthart, J.E., 2012. "The Determinants of VAT Introduction : A Spatial Duration Analysis," Discussion Paper 2012-071, Tilburg University, Center for Economic Research.

    Cited by:

    1. Bibek Adhikari, 2015. "When Does Introducing a Value-Added Tax Increase Economic Efficiency? Evidence from the Synthetic Control Method," Working Papers 1524, Tulane University, Department of Economics, revised Nov 2015.
    2. Joaquim Sarmento, 2016. "The Determinants Of Value Added Tax Revenues In The European Union," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 21(2), pages 79-99.
    3. Alex Ufier, 2017. "The effect of VATs on government balance sheets," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(6), pages 1141-1173, December.

More information

Research fields, statistics, top rankings, if available.

Statistics

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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 1 paper 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 (1) 2014-12-24

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