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Wei Long

Personal Details

First Name:Wei
Middle Name:
Last Name:Long
Suffix:
RePEc Short-ID:plo434

Affiliation

Department of Economics
Tulane University

New Orleans, Louisiana (United States)
http://econ.tulane.edu/
RePEc:edi:detulus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Guannan Liu & Wei Long & Zongwu Cai & Bingduo Yang, 2019. "Semiparametric Estimation and Model Selection for Conditional Mixture Copula Models," Working Papers 2019-07-05, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  2. Bingduo Yang & Christian M. Hafner & Guannan Liu & Wei Long, 2019. "Semiparametric Estimation and Variable Selection for Single-index Copula Models," Working Papers 2019-07-05, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  3. Wei Long, 2016. "Does Longer Incarceration Deter or Incapacitate Crimes? New Evidence from Truth-in-Sentencing Reform," Working Papers 1607, Tulane University, Department of Economics.

Articles

  1. Liu, Guannan & Long, Wei & Zhang, Xinyu & Li, Qi, 2019. "Detecting Financial Data Dependence Structure By Averaging Mixture Copulas," Econometric Theory, Cambridge University Press, vol. 35(4), pages 777-815, August.
  2. Long, Wei, 2019. "How does oversight affect police? Evidence from the police misconduct reform," Journal of Economic Behavior & Organization, Elsevier, vol. 168(C), pages 94-118.
  3. Lei Hou & Wei Long & Qi Li, 2019. "Comovement of Home Prices: A Conditional Copula Approach," Annals of Economics and Finance, Society for AEF, vol. 20(1), pages 297-318, May.
  4. Cheng, Cheng & Long, Wei, 2018. "Improving police services: Evidence from the French Quarter Task Force," Journal of Public Economics, Elsevier, vol. 164(C), pages 1-18.
  5. Wei Long, 2018. "Does longer incarceration deter or incapacitate crime? Evidence from Truth-in-Sentencing reform," Applied Economics, Taylor & Francis Journals, vol. 50(24), pages 2664-2676, May.
  6. Qi Li & Wei Long, 2018. "Do parole abolition and Truth-in-Sentencing deter violent crimes in Virginia?," Empirical Economics, Springer, vol. 55(4), pages 2027-2045, December.
  7. Wei Long & Dingding Li & Qi Li, 2016. "Testing explosive behavior in the gold market," Empirical Economics, Springer, vol. 51(3), pages 1151-1164, November.
  8. Green, Carl & Long, Wei & Hsiao, Cheng, 2015. "Testing error serial correlation in fixed effects nonparametric panel data models," Journal of Econometrics, Elsevier, vol. 188(2), pages 466-473.
  9. Gao, Yichen & Long, Wei & Wang, Zhengwei, 2015. "Estimating average treatment effect by model averaging," Economics Letters, Elsevier, vol. 135(C), pages 42-45.
  10. Long, Wei & Ouyang, Min & Shang, Ying, 2013. "Efficient estimation of partially linear varying coefficient models," Economics Letters, Elsevier, vol. 121(1), pages 79-81.

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. Guannan Liu & Wei Long & Zongwu Cai & Bingduo Yang, 2019. "Semiparametric Estimation and Model Selection for Conditional Mixture Copula Models," Working Papers 2019-07-05, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Jing Yuan & Yajing Dong & Weijie Zhai & Zongwu Cai, 2021. "Economic Policy Uncertainty: Cross-Country Linkages and Spillover Effects on Economic Development in Some Belt and Road Countries," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202110, University of Kansas, Department of Economics, revised Nov 2021.

  2. Bingduo Yang & Christian M. Hafner & Guannan Liu & Wei Long, 2019. "Semiparametric Estimation and Variable Selection for Single-index Copula Models," Working Papers 2019-07-05, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Christis Katsouris, 2021. "Optimal Portfolio Choice and Stock Centrality for Tail Risk Events," Papers 2112.12031, arXiv.org.
    2. Zongwu Cai & Guannan Liu & Wei Long & Xuelong Luo, 2024. "Semiparametric Conditional Mixture Copula Models with Copula Selection," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202401, University of Kansas, Department of Economics, revised Jan 2024.
    3. Nasekin, Sergey & Chen, Cathy Yi-Hsuan, 2018. "Deep learning-based cryptocurrency sentiment construction," IRTG 1792 Discussion Papers 2018-066, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".

Articles

  1. Liu, Guannan & Long, Wei & Zhang, Xinyu & Li, Qi, 2019. "Detecting Financial Data Dependence Structure By Averaging Mixture Copulas," Econometric Theory, Cambridge University Press, vol. 35(4), pages 777-815, August.

    Cited by:

    1. Zongwu Cai & Guannan Liu & Wei Long & Xuelong Luo, 2024. "Semiparametric Conditional Mixture Copula Models with Copula Selection," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202401, University of Kansas, Department of Economics, revised Jan 2024.
    2. Yang, Bingduo & Cai, Zongwu & Hafner, Christian M. & Liu, Guannan, 2018. "Trending Mixture Copula Models with Copula Selection," IRTG 1792 Discussion Papers 2018-057, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    3. Guannan Liu & Wei Long & Bingduo Yang & Zongwu Cai, 2022. "Semiparametric estimation and model selection for conditional mixture copula models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(1), pages 287-330, March.
    4. Wang, Weiwei & Zhang, Qi & Zhang, Xinyu & Li, Xinmin, 2021. "Model averaging based on generalized method of moments," Economics Letters, Elsevier, vol. 200(C).

  2. Long, Wei, 2019. "How does oversight affect police? Evidence from the police misconduct reform," Journal of Economic Behavior & Organization, Elsevier, vol. 168(C), pages 94-118.

    Cited by:

    1. Echevarría, Cruz A. & Hasancebi, Serhat & García-Enríquez, Javier, 2022. "Economic Effects of Macao’s Integration with Mainland China: A Causal Inference Study," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 37(2), pages 179-215.
    2. Denti, Daria & Iammarino, Simona, 2022. "Coming Out of the Woods. Do local support services influence the propensity to report sexual violence?," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 334-352.
    3. Saffer, Henry & Gehrsitz, Markus & Grossman, Michael, 2022. "The Effects of Alcohol Excise Tax Increases by Drinking Level and by Income Level," IZA Discussion Papers 15328, Institute of Labor Economics (IZA).

  3. Cheng, Cheng & Long, Wei, 2018. "Improving police services: Evidence from the French Quarter Task Force," Journal of Public Economics, Elsevier, vol. 164(C), pages 1-18.

    Cited by:

    1. Anna Bindler & Randi Hjalmarsson, 2021. "The Impact of the First Professional Police Forces on Crime," ECONtribute Discussion Papers Series 053, University of Bonn and University of Cologne, Germany.
    2. Celislami, Elda & Kastoryano, Stephen & Mastrobuoni, Giovanni, 2023. "Strategic Bureaucratic Opacity: Evidence from Death Investigation Laws and Police Killings," IZA Discussion Papers 16609, Institute of Labor Economics (IZA).
    3. Nils Braakmann, 2022. "Does stop and search reduce crime? Evidence from street‐level data and a surge in operations following a high‐profile crime," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1370-1397, July.
    4. Blackstone, Erwin A. & Hakim, Simon & Meehan, Brian, 2020. "Burglary reduction and improved police performance through private alarm response," International Review of Law and Economics, Elsevier, vol. 63(C).
    5. Lovett, Nicholas & Xue, Yuhan, 2022. "Rare homicides, criminal behavior, and the returns to police labor," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 172-195.
    6. Boylan, Richard T., 2022. "Should cities disband their police departments?," Journal of Urban Economics, Elsevier, vol. 130(C).
    7. Cheng, Cheng & Long, Wei, 2022. "The effect of highly publicized police killings on policing: Evidence from large U.S. cities," Journal of Public Economics, Elsevier, vol. 206(C).
    8. Francis Petterini & Akauã Flores, 2021. "Copula econometrics to simulate effects of private policing on crime," Economics Bulletin, AccessEcon, vol. 41(3), pages 1241-1254.

  4. Qi Li & Wei Long, 2018. "Do parole abolition and Truth-in-Sentencing deter violent crimes in Virginia?," Empirical Economics, Springer, vol. 55(4), pages 2027-2045, December.

    Cited by:

    1. Hongjun Li & Zheng Li & Cheng Hsiao, 2023. "Assessing the impacts of pandemic and the increase in minimum down payment rate on Shanghai housing prices," Empirical Economics, Springer, vol. 64(6), pages 2661-2682, June.

  5. Wei Long & Dingding Li & Qi Li, 2016. "Testing explosive behavior in the gold market," Empirical Economics, Springer, vol. 51(3), pages 1151-1164, November.

    Cited by:

    1. Verena Monschang & Bernd Wilfling, 2019. "Sup-ADF-style bubble-detection methods under test," CQE Working Papers 7819, Center for Quantitative Economics (CQE), University of Muenster.
    2. Snezana Eminidou & Marios Zachariadis & Elena Andreou, 2020. "Inflation Expectations and Monetary Policy Surprises," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(1), pages 306-339, January.
    3. Aktham Maghyereh & Hussein Abdoh, 2022. "Bubble contagion effect between the main precious metals," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 40(1), pages 43-63, March.
    4. Tomás Caravello & Zacharias Psaradakis & Martín Sola, 2021. "Rational Bubbles: Too Many to be True?," Department of Economics Working Papers 2021_06, Universidad Torcuato Di Tella.
    5. Yingying Xu & Zhi‐Xin Liu & Chi‐Wei Su & Jaime Ortiz, 2019. "Gold and inflation: Expected inflation effect or carrying cost effect?," International Finance, Wiley Blackwell, vol. 22(3), pages 380-398, December.
    6. Figuerola-Ferretti, Isabel & McCrorie, J. Roderick, 2016. "The shine of precious metals around the global financial crisis," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 717-738.
    7. Bouri, Elie & Shahzad, Syed Jawad Hussain & Roubaud, David, 2019. "Co-explosivity in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 29(C), pages 178-183.
    8. Xiaojian Su & Cheng Peng & Zhike Lv & Chao Deng, 2022. "Do the Renminbi and Hong Kong dollar bubbles interact?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 312-319, January.

  6. Gao, Yichen & Long, Wei & Wang, Zhengwei, 2015. "Estimating average treatment effect by model averaging," Economics Letters, Elsevier, vol. 135(C), pages 42-45.

    Cited by:

    1. Carvalho, Carlos Viana de & Masini, Ricardo Pereira & Medeiros, Marcelo C., 2017. "The perils of counterfactual analysis with integrated processes," Textos para discussão 455, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    2. Wang, Weiwei & Zhang, Qi & Zhang, Xinyu & Li, Xinmin, 2021. "Model averaging based on generalized method of moments," Economics Letters, Elsevier, vol. 200(C).

  7. Long, Wei & Ouyang, Min & Shang, Ying, 2013. "Efficient estimation of partially linear varying coefficient models," Economics Letters, Elsevier, vol. 121(1), pages 79-81.

    Cited by:

    1. Fan, Guo-Liang & Liang, Han-Ying & Shen, Yu, 2016. "Penalized empirical likelihood for high-dimensional partially linear varying coefficient model with measurement errors," Journal of Multivariate Analysis, Elsevier, vol. 147(C), pages 183-201.
    2. Yan-Ting Xiao & Fu-Xiao Li, 2020. "Estimation in partially linear varying-coefficient errors-in-variables models with missing response variables," Computational Statistics, Springer, vol. 35(4), pages 1637-1658, 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-LAW: Law and Economics (1) 2016-08-21

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