IDEAS home Printed from https://ideas.repec.org/f/pzh668.html
   My authors  Follow this author

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 and Monetary Policy Institute Working Paper 241, Federal Reserve Bank of Dallas.
    4. 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.
    5. 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.
    6. Ratti, Ronald A. & Vespignani, Joaquin L., 2016. "Oil prices and global factor macroeconomic variables," Energy Economics, Elsevier, vol. 59(C), pages 198-212.
    7. 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.
    8. 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.
    9. Piyachart Phiromswad & Takeshi Yagihashi, 2016. "Empirical identification of factor models," Empirical Economics, Springer, vol. 51(2), pages 621-658, September.
    10. 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.
    11. Ratti, Ronald A. & Vespignani, Joaquin L., 2014. "Oil prices and the economy: A global perspective," MPRA Paper 59407, University Library of Munich, Germany.
    12. 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.
    13. 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.
    14. Fredrik N. G. Andersson & Katarzyna Burzynska & Sonja Opper, 2016. "Lending for growth? A Granger causality analysis of China’s finance–growth nexus," Empirical Economics, Springer, vol. 51(3), pages 897-920, November.
    15. 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. Waltl, Sofie R., 2018. "Estimating quantile-specific rental yields for residential housing in Sydney," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 204-225.

  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. 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 for the Study of Labor (IZA).
    2. 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.
    3. Zhang, Lei & Yi, Yimin, 2017. "Quantile house price indices in Beijing," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 85-96.
    4. 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, Hungarian Academy of Sciences.
    5. 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.
    6. 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.

  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. 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.
    4. 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.
    5. 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.
    6. Zhang, Lei & Yi, Yimin, 2017. "Quantile house price indices in Beijing," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 85-96.
    7. 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.
    8. 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.

  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

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

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Lei Zhang should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.