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Lei Zhang

Personal Details

First Name:Lei
Middle Name:
Last Name:Zhang
Suffix:
RePEc Short-ID:pzh668
https://www.ag.ndsu.edu/agecon/people/bios/lei-zhang

Affiliation

Department of Agribusiness and Applied Economics
North Dakota State University

Fargo, North Dakota (United States)
http://www.ext.nodak.edu/homepages/aedept/

: (701) 231-7441

PO Box 5636, Fargo, ND 58105-5636
RePEc:edi:dandsus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Chetan Dave & Scott J. Dressler & Lei Zhang, 2009. "The Bank Lending Channel: a FAVAR Analysis," Villanova School of Business Department of Economics and Statistics Working Paper Series 4, Villanova School of Business Department of Economics and Statistics.

Articles

  1. Zhang, Lei & Yi, Yimin, 2017. "Quantile house price indices in Beijing," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 85-96.
  2. Tammy Leonard & Nikhil Jha & Lei Zhang, 2017. "Neighborhood price externalities of foreclosure rehabilitation: an examination of the Neighborhood Stabilization Program," Empirical Economics, Springer, vol. 52(3), pages 955-975, May.
  3. Lei Zhang & Tammy Leonard & James C. Murdoch, 2016. "Time and distance heterogeneity in the neighborhood spillover effects of foreclosed properties," Housing Studies, Taylor & Francis Journals, vol. 31(2), pages 133-148, March.
  4. Zhang, Lei, 2016. "Flood hazards impact on neighborhood house prices: A spatial quantile regression analysis," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 12-19.
  5. Miljkovic, Dragan & Dalbec, Nathan & Zhang, Lei, 2016. "Estimating dynamics of US demand for major fossil fuels," Energy Economics, Elsevier, vol. 55(C), pages 284-291.
  6. Zhang, Lei & Leonard, Tammy, 2014. "Neighborhood impact of foreclosure: A quantile regression approach," Regional Science and Urban Economics, Elsevier, vol. 48(C), pages 133-143.
  7. Chetan Dave & Scott J. Dressler & Lei Zhang, 2013. "The Bank Lending Channel: A FAVAR Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(8), pages 1705-1720, December.

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. Chetan Dave & Scott J. Dressler & Lei Zhang, 2009. "The Bank Lending Channel: a FAVAR Analysis," Villanova School of Business Department of Economics and Statistics Working Paper Series 4, Villanova School of Business Department of Economics and Statistics.

    Cited by:

    1. Kok, Christoffer & Gross, Marco & Żochowski, Dawid, 2016. "The impact of bank capital on economic activity - evidence from a mixed-cross-section GVAR model," Working Paper Series 1888, European Central Bank.
    2. Buch, Claudia M. & Eickmeier, Sandra & Prieto, Esteban, 2010. "Macroeconomic factors and micro-level bank risk," Discussion Paper Series 1: Economic Studies 2010,20, Deutsche Bundesbank.
    3. Ratti, Ronald A. & Vespignani, Joaquin L., 2015. "What drives the global interest rate," Globalization Institute Working Papers 241, Federal Reserve Bank of Dallas.
    4. Chen, Sophia & Ranciere, Romain, 2019. "Financial information and macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1160-1174.
    5. Ratti, Ronald A. & Vespignani, Joaquin L., 2015. "Commodity prices and BRIC and G3 liquidity: A SFAVEC approach," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 18-33.
    6. Andersson, Fredrik N.G. & Burzynska, Katarzyna & Opper, Sonja, 2014. "Lending for Growth? A Granger Causality Analysis of China's Finance-Growth Nexus," Knut Wicksell Working Paper Series 2014/6, Lund University, Knut Wicksell Centre for Financial Studies.
    7. Ratti, Ronald A. & Vespignani, Joaquin L., 2016. "Oil prices and global factor macroeconomic variables," Energy Economics, Elsevier, vol. 59(C), pages 198-212.
    8. Jean-Stéphane Mésonnier & Dalibor Stevanovic, 2012. "Bank Leverage Shocks and the Macroeconomy: a New Look in a Data-Rich Environment," CIRANO Working Papers 2012s-23, CIRANO.
    9. Norhana Endut & James Morley & Pao-Lin Tien, 2015. "The Changing Transmission Mechanism of U.S. Monetary Policy," Discussion Papers 2015-03, School of Economics, The University of New South Wales.
    10. Piyachart Phiromswad & Takeshi Yagihashi, 2016. "Empirical identification of factor models," Empirical Economics, Springer, vol. 51(2), pages 621-658, September.
    11. Budnik, Katarzyna & Bochmann, Paul, 2017. "Capital and liquidity buffers and the resilience of the banking system in the euro area," Working Paper Series 2120, European Central Bank.
    12. Ratti, Ronald A. & Vespignani, Joaquin L., 2014. "Oil prices and the economy: A global perspective," MPRA Paper 59407, University Library of Munich, Germany.
    13. Shu‐Hua Chen, 2018. "The Credit‐Channel Transmission Mechanism And The Nonlinear Growth And Welfare Effects Of Inflation And Taxes," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 724-744, April.
    14. Dedu, Vasile & Stoica, Tiberiu, 2014. "The Impact of Monetaru Policy on the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 71-86, June.
    15. Breitenlechner, Max & Scharler, Johann & Sindermann, Friedrich, 2016. "Banks’ external financing costs and the bank lending channel: Results from a SVAR analysis," Journal of Financial Stability, Elsevier, vol. 26(C), pages 228-246.
    16. Xiong, Qiyue, 2013. "The role of the bank lending channel and impacts of stricter capital requirements on the Chinese banking industry," BOFIT Discussion Papers 7/2013, Bank of Finland, Institute for Economies in Transition.

Articles

  1. Zhang, Lei & Yi, Yimin, 2017. "Quantile house price indices in Beijing," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 85-96.

    Cited by:

    1. Sofie R. Waltl, 2016. "Estimating aggregate quantile-specific gross rental yields for residential housing in Sydney," Graz Economics Papers 2016-09, University of Graz, Department of Economics.
    2. Huang, Bin & He, Xiaoyan & Xu, Lei & Zhu, Yu, 2018. "Elite School Designation and House Prices - Quasi-experimental Evidence from Beijing, China," GLO Discussion Paper Series 283, Global Labor Organization (GLO).
    3. Heiko Kirchhain & Joachim Zietz, 2018. "The impact of exogenous shocks on house prices: The case of the Volkswagen-emission scandal," ERES eres2018_204, European Real Estate Society (ERES).
    4. Raul-Tomas Mora-Garcia & Maria-Francisca Cespedes-Lopez & V. Raul Perez-Sanchez & Pablo Marti & Juan-Carlos Perez-Sanchez, 2019. "Determinants of the Price of Housing in the Province of Alicante (Spain): Analysis Using Quantile Regression," Sustainability, MDPI, Open Access Journal, vol. 11(2), pages 1-33, January.

  2. Lei Zhang & Tammy Leonard & James C. Murdoch, 2016. "Time and distance heterogeneity in the neighborhood spillover effects of foreclosed properties," Housing Studies, Taylor & Francis Journals, vol. 31(2), pages 133-148, March.

    Cited by:

    1. Tammy Leonard & Nikhil Jha & Lei Zhang, 2017. "Neighborhood price externalities of foreclosure rehabilitation: an examination of the Neighborhood Stabilization Program," Empirical Economics, Springer, vol. 52(3), pages 955-975, May.
    2. Paredes, Dusan & Skidmore, Mark, 2017. "The net benefit of demolishing dilapidated housing: The case of Detroit," Regional Science and Urban Economics, Elsevier, vol. 66(C), pages 16-27.

  3. Zhang, Lei, 2016. "Flood hazards impact on neighborhood house prices: A spatial quantile regression analysis," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 12-19.

    Cited by:

    1. Xi Hu & Raghav Pant & Jim W. Hall & Swenja Surminski & Jiashun Huang, 2019. "Multi-Scale Assessment of the Economic Impacts of Flooding: Evidence from Firm to Macro-Level Analysis in the Chinese Manufacturing Sector," Sustainability, MDPI, Open Access Journal, vol. 11(7), pages 1-18, April.
    2. Lei Zhang & Tammy Leonard, 2019. "Flood Hazards Impact on Neighborhood House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 58(4), pages 656-674, May.
    3. Zhang, Lei & Yi, Yimin, 2018. "What contributes to the rising house prices in Beijing? A decomposition approach," Journal of Housing Economics, Elsevier, vol. 41(C), pages 72-84.
    4. Ortega, Francesc & Taspinar, Süleyman, 2016. "Rising Sea Levels and Sinking Property Values: The Effects of Hurricane Sandy on New York's Housing Market," IZA Discussion Papers 10374, Institute of Labor Economics (IZA).
    5. Indaco, Agustín & Ortega, Francesc & Taspinar, Süleyman, 2018. "The Effects of Flood Insurance on Housing Markets," IZA Discussion Papers 11810, Institute of Labor Economics (IZA).
    6. McMillen, Daniel & Shimizu, Chihiro, 2017. "Decompositions of Spatially Varying Quantile Distribution Estimates: The Rise and Fall of Tokyo House Prices," HIT-REFINED Working Paper Series 74, Institute of Economic Research, Hitotsubashi University.
    7. Zhang, Lei & Yi, Yimin, 2017. "Quantile house price indices in Beijing," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 85-96.
    8. Gabor Bekes & Aron Horvath & Zoltan Sapi, 2016. "Flood risk and housing prices: evidence from Hungary," IEHAS Discussion Papers 1620, Institute of Economics, Centre for Economic and Regional Studies.
    9. Ortega, Francesc & Taṣpınar, Süleyman, 2018. "Rising sea levels and sinking property values: Hurricane Sandy and New York’s housing market," Journal of Urban Economics, Elsevier, vol. 106(C), pages 81-100.
    10. Livy, Mitchell R., 2017. "Catastrophe Capitalization: Estimating Changes in Perceptions of Extreme Natural Events over Time," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258251, Agricultural and Applied Economics Association.
    11. Hu, Xi & Pant, Raghav & Hall, Jim W. & Surminski, Swenja & Huang, Jiashun, 2019. "Multi-scale assessment of the economic impacts of flooding: evidence from firm to macro-level analysis in the Chinese manufacturing sector," LSE Research Online Documents on Economics 100534, London School of Economics and Political Science, LSE Library.
    12. Garz, Marcel, 2018. "Effects of unemployment news on economic perceptions – Evidence from German Federal States," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 172-190.
    13. Singh, Ruchi, 2019. "Seismic risk and house prices: Evidence from earthquake fault zoning," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 187-209.
    14. Wilhelmsson, Mats, 2019. "Energy Performance certificates and its capitalization in housing values in Sweden," Working Paper Series 19/3, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    15. Robert J. Johnston & Klaus Moeltner, 2019. "Special Flood Hazard Effects on Coastal and Interior Home Values: One Size Does Not Fit All," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 181-210, September.
    16. Haizhen Wen & Zaiyuan Gui & Chuanhao Tian & Yue Xiao & Li Fang, 2018. "Subway Opening, Traffic Accessibility, and Housing Prices: A Quantile Hedonic Analysis in Hangzhou, China," Sustainability, MDPI, Open Access Journal, vol. 10(7), pages 1-23, June.
    17. Yizhou Wu & Peilei Fan & Heyuan You, 2018. "Spatial Evolution of Producer Service Sectors and Its Influencing Factors in Cities: A Case Study of Hangzhou, China," Sustainability, MDPI, Open Access Journal, vol. 10(4), pages 1-23, March.

  4. Miljkovic, Dragan & Dalbec, Nathan & Zhang, Lei, 2016. "Estimating dynamics of US demand for major fossil fuels," Energy Economics, Elsevier, vol. 55(C), pages 284-291.

    Cited by:

    1. Tarek Atalla & Simona Bigerna & Carlo Andrea Bollino, 2018. "Energy demand elasticities and weather worldwide," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(1), pages 207-237, April.
    2. Copiello, Sergio & Grillenzoni, Carlo, 2017. "Is the cold the only reason why we heat our homes? Empirical evidence from spatial series data," Applied Energy, Elsevier, vol. 193(C), pages 491-506.
    3. Baek, Jungho & Miljkovic, Dragan, 2018. "Monetary policy and overshooting of oil prices in an open economy," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 1-5.

  5. Zhang, Lei & Leonard, Tammy, 2014. "Neighborhood impact of foreclosure: A quantile regression approach," Regional Science and Urban Economics, Elsevier, vol. 48(C), pages 133-143.

    Cited by:

    1. Tammy Leonard & Nikhil Jha & Lei Zhang, 2017. "Neighborhood price externalities of foreclosure rehabilitation: an examination of the Neighborhood Stabilization Program," Empirical Economics, Springer, vol. 52(3), pages 955-975, May.
    2. Lei Zhang & Tammy Leonard & James C. Murdoch, 2016. "Time and distance heterogeneity in the neighborhood spillover effects of foreclosed properties," Housing Studies, Taylor & Francis Journals, vol. 31(2), pages 133-148, March.
    3. Paredes, Dusan & Skidmore, Mark, 2017. "The net benefit of demolishing dilapidated housing: The case of Detroit," Regional Science and Urban Economics, Elsevier, vol. 66(C), pages 16-27.
    4. Zhang, Lei & Yi, Yimin, 2018. "What contributes to the rising house prices in Beijing? A decomposition approach," Journal of Housing Economics, Elsevier, vol. 41(C), pages 72-84.
    5. Zhang, Lei, 2016. "Flood hazards impact on neighborhood house prices: A spatial quantile regression analysis," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 12-19.
    6. Anthony Yezer & Yishen Liu, 2017. "Can Differences Deceive? The Case of “Foreclosure Externalities"," Working Papers 2017-29, The George Washington University, Institute for International Economic Policy.
    7. McMillen, Daniel & Shimizu, Chihiro, 2017. "Decompositions of Spatially Varying Quantile Distribution Estimates: The Rise and Fall of Tokyo House Prices," HIT-REFINED Working Paper Series 74, Institute of Economic Research, Hitotsubashi University.
    8. Zhang, Lei & Yi, Yimin, 2017. "Quantile house price indices in Beijing," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 85-96.
    9. Han, Kwideok & Whitacre, Brian E., 2018. "Student Performance and School Size: A Two-stage Spatial Quantile Regression Approach to Evaluate Oklahoma High Schools," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266597, Southern Agricultural Economics Association.
    10. Mandai, Yu, and Nakabayashi, Masaki, 2017. "Stabilize the Peasant Economy: Governance of Foreclosure by the Shogunate," ISS Discussion Paper Series (series F) f187, Institute of Social Science, The University of Tokyo, revised 28 Nov 2017.
    11. McMillen, Daniel, 2015. "Conditionally parametric quantile regression for spatial data: An analysis of land values in early nineteenth century Chicago," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 28-38.
    12. Anthony Yezer, 2016. "Testing the Association between Foreclosure and Nearby House Values: Can Differences Deceive?," Working Papers 2016-29, The George Washington University, Institute for International Economic Policy.

  6. Chetan Dave & Scott J. Dressler & Lei Zhang, 2013. "The Bank Lending Channel: A FAVAR Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(8), pages 1705-1720, December.
    See citations under working paper version above.

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-CBA: Central Banking (1) 2009-05-02
  2. NEP-MAC: Macroeconomics (1) 2009-05-02
  3. NEP-MON: Monetary Economics (1) 2009-05-02

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