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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. 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.
  2. 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.
  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. 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.
  3. 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.
  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. Gao, Yichen & Long, Wei & Wang, Zhengwei, 2015. "Estimating average treatment effect by model averaging," Economics Letters, Elsevier, vol. 135(C), pages 42-45.
  9. 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.
  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. 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. 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. Christis Katsouris, 2021. "Optimal Portfolio Choice and Stock Centrality for Tail Risk Events," Papers 2112.12031, arXiv.org.
    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".

  2. 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.

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. Wang, Weiwei & Zhang, Qi & Zhang, Xinyu & Li, Xinmin, 2021. "Model averaging based on generalized method of moments," Economics Letters, Elsevier, vol. 200(C).
    4. 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.

  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).
    4. Campbell, Travis, 2024. "Black Lives Matter’s effect on police lethal use of force," Journal of Urban Economics, Elsevier, vol. 141(C).

  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. 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).
    2. Hjalmarsson, Randi & Bindler, Anna, 2019. "The Impact of the First Professional Police Forces on Crime," CEPR Discussion Papers 14068, C.E.P.R. Discussion Papers.
    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. LeRoy, William, 2024. "Understanding policing in the aftermath of gun violence: Examining investigatory stops and crime in Chicago," Journal of Public Economics, Elsevier, vol. 234(C).
    5. 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).
    6. 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.
    7. Boylan, Richard T., 2022. "Should cities disband their police departments?," Journal of Urban Economics, Elsevier, vol. 130(C).
    8. 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).
    9. Nils Braakmann, 2023. "Residential turnover and crime—Evidence from administrative data for England and Wales," The British Journal of Criminology, Centre for Crime and Justice Studies, vol. 63(6), pages 1460-1481.
    10. Francis Petterini & Akauã Flores, 2021. "Copula econometrics to simulate effects of private policing on crime," Economics Bulletin, AccessEcon, vol. 41(3), pages 1241-1254.
    11. Federico Masera, 2022. "The economics of policing and crimeThe economics of policing and crime," Chapters, in: Paolo Buonanno & Paolo Vanin & Juan Vargas (ed.), A Modern Guide to the Economics of Crime, chapter 2, pages 12-29, Edward Elgar Publishing.

  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, 2021. "Sup-ADF-style bubble-detection methods under test," Empirical Economics, Springer, vol. 61(1), pages 145-172, July.
    2. Elena Andreou & Snezana Eminidou & Marios Zachariadis, 2017. "Inflation expectations and monetary policy surprises," University of Cyprus Working Papers in Economics 01-2017, University of Cyprus Department of Economics.
    3. 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.
    4. Martin Sola, 2023. "Rational Bubbles: Too Many to be True?," Working Papers 240, Red Nacional de Investigadores en Economía (RedNIE).
    5. 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.
    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. Carlos Viana de Carvalho & Ricardo Masini & Marcelo Cunha Medeiros, 2016. "The perils of Counterfactual Analysis with Integrated Processes," Textos para discussão 654, Department of Economics PUC-Rio (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

Access and download statistics for all items

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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