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

Lei Zhang

Not to be confused with: Lei Zhang, Lei Zhang, Lei Zhang, Lei Zhang

Personal Details

First Name:Lei
Middle Name:
Last Name:Zhang
Suffix:
RePEc Short-ID:pzh668

Affiliation

Department of Finance
Strome College of Business
Old Dominion University

Norfolk, Virginia (United States)
https://www.odu.edu/business/departments/finance
RePEc:edi:dfoduus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Dave, Chetan & Dressler, Scott J. & Zhang, Lei, 2020. "Bank Lending, Monetary Policy Transmission, and Interest on Excess Reserves: A FAVAR Analysis," Working Papers 2020-6, University of Alberta, Department of Economics.
  2. 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. 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.
  2. 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.
  3. Siew Hoon Lim & Lei Zhang, 2017. "Does Casino Development Have a Positive Effect on Economic Growth?," Growth and Change, Wiley Blackwell, vol. 48(3), pages 409-434, September.
  4. 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.
  5. Zhang, Lei & Yi, Yimin, 2017. "Quantile house price indices in Beijing," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 85-96.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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. Ronald A. Ratti & Joaquin L. Vespignani, 2015. "What drives the global interest rate," Globalization Institute Working Papers 241, Federal Reserve Bank of Dallas.
    2. Chen, Sophia & Ranciere, Romain, 2019. "Financial information and macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1160-1174.
    3. 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.
    4. Dave, Chetan & Dressler, Scott J. & Zhang, Lei, 2020. "Bank Lending, Monetary Policy Transmission, and Interest on Excess Reserves: A FAVAR Analysis," Working Papers 2020-6, University of Alberta, Department of Economics.
    5. Jean-Stéphane Mésonnier & Dalibor Stevanovic, 2012. "Bank Leverage Shocks And The Macroeconomy: A New Look In A Data-Rich Environment," CIRANO Papers 2012n-10a, CIRANO.
    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. Maurin, Laurent & Andersson, Malin & Rusinova, Desislava, 2021. "Market finance as a spare tyre? Corporate investment and access to bank credit in Europe," EIB Working Papers 2021/09, European Investment Bank (EIB).
    8. Andersson, Malin & Maurin, Laurent & Rusinova, Desislava, 2021. "Market finance as a spare tyre? Corporate investment and access to bank credit in Europe," Working Paper Series 2606, European Central Bank.
    9. Jorge Mario Uribe Gil & Isabel Espinosa Castillo, 2018. "Efectos asimétricos de cambios en la tasa de interés sobre empresas del sector manufacturero colombiano," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 10(1), pages 173-187, February.
    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. Claudia M. Buch & Sandra Eickmeier & Esteban Prieto, 2014. "Macroeconomic Factors and Microlevel Bank Behavior," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(4), pages 715-751, June.
    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. Ronald A. Ratti & Joaquin L. Vespignani, 2014. "Oil prices and the economy: A global perspective," CAMA Working Papers 2014-41, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    14. 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.
    15. 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.
    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 Emerging Economies (BOFIT).
    17. 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.
    18. 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.
    19. Piyachart Phiromswad & Takeshi Yagihashi, 2016. "Empirical identification of factor models," Empirical Economics, Springer, vol. 51(2), pages 621-658, September.
    20. 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.
    21. Juan S. Holguín & Jorge M. Uribe, 2020. "The credit supply channel of monetary policy: evidence from a FAVAR model with sign restrictions," Empirical Economics, Springer, vol. 59(5), pages 2443-2472, November.

Articles

  1. 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.

    Cited by:

    1. Walter D'Lima & Timothy Komarek & Luis A. Lopez, 2023. "Risk perception in housing markets: Evidence from a fighter jet crash," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(4), pages 819-854, July.
    2. Francesco Caloia & David-Jan Jansen, 2021. "Flood risk and financial stability: Evidence from a stress test for the Netherlands," Working Papers 730, DNB.
    3. Amine Ouazad & Matthew E. Kahn, 2019. "Mortgage Finance and Climate Change: Securitization Dynamics in the Aftermath of Natural Disasters," NBER Working Papers 26322, National Bureau of Economic Research, Inc.
    4. Pei-Ing Wu & Yi Chen & Je-Liang Liou, 2021. "Housing property along riverbanks in Taipei, Taiwan: a spatial quantile modelling of landscape benefits and flooding losses," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 2404-2438, February.
    5. Justin Tyndall, 2021. "Sea Level Rise and Home Prices: Evidence from Long Island," Working Papers 2021-2, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    6. Moritz Odersky & Max Löffler, 2024. "Differential Exposure to Climate Change? Evidence from the 2021 Floods in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 22(3), pages 551-576, September.
    7. Indaco, Agustín & Ortega, Francesc & Taspinar, Süleyman, 2018. "The Effects of Flood Insurance on Housing Markets," IZA Discussion Papers 11810, Institute of Labor Economics (IZA).
    8. Agustín Indaco & Francesc Ortega & Süleyman Taṣpınar, 2021. "Hurricanes, flood risk and the economic adaptation of businesses," Journal of Economic Geography, Oxford University Press, vol. 21(4), pages 557-591.
    9. Justin Contat & Caroline Hopkins & Luis Mejia & Matthew Suandi, 2023. "When Climate Meets Real Estate: A Survey of the Literature," FHFA Staff Working Papers 23-05, Federal Housing Finance Agency.
    10. Eszter Baranyai & Ádám Banai, 2022. "Heat projections and mortgage characteristics: evidence from the USA," Climatic Change, Springer, vol. 175(3), pages 1-20, December.
    11. Livy, Mitchell R., 2023. "Assessing the housing price capitalization of non-destructive flooding events," Research in Economics, Elsevier, vol. 77(2), pages 265-274.
    12. Patrick Gourley, 2021. "Curb appeal: how temporary weather patterns affect house prices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 107-129, August.
    13. Ismail, Muhammad & Warsame, Abukar & Wilhelmsson, Mats, 2020. "Measuring Gentrification with Getis-Ord Statistics and Its Effect on Housing Prices in Neighboring Areas: The Case of Stockholm," Working Paper Series 20/19, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    14. Garbarino, Nicola & Lee, Jonathan & Guin, Benjamin, 2023. "The Effects of Subsidized Flood Insurance on Real Estate Markets," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277665, Verein für Socialpolitik / German Economic Association.
    15. Avner,Paolo & Viguié,Vincent & Jafino,Bramka Arga & Hallegatte,Stephane, 2021. "Flood Protection and Land Value Creation - Not All Resilience Investments Are Created Equal," Policy Research Working Paper Series 9744, The World Bank.
    16. Jose J. Canals-Cerda & Raluca Roman, 2021. "Climate Change and Consumer Finance: A Very Brief Literature Review," Consumer Finance Institute discussion papers 21-04, Federal Reserve Bank of Philadelphia.

  2. 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.

    Cited by:

    1. Doojav, Gan-Ochir & Damdinjav, Davaasukh, 2019. "The policy-driven boom and bust in the housing market: Evidence from Mongolia," MPRA Paper 102933, University Library of Munich, Germany, revised 2019.
    2. Tianzheng Zhang & Yingxiang Zeng & Yingjie Zhang & Yan Song & Hongxun Li, 2020. "The Heterogenous Demand for Urban Parks between Home Buyers and Renters: Evidence from Beijing," Sustainability, MDPI, vol. 12(21), pages 1-16, October.
    3. Beimer, Waldemar & Maennig, Wolfgang, 2020. "On the price gap between single family houses and apartments," Journal of Housing Economics, Elsevier, vol. 49(C).
    4. Takaaki Ohnishi & Takayuki Mizuno & Tsutomu Watanabe, 2019. "House Price Dispersion in Boom-Bust Cycles: Evidence from Tokyo," Working Papers on Central Bank Communication 008, University of Tokyo, Graduate School of Economics.
    5. Fan Liu & Min Min & Ke Zhao & Weiyan Hu, 2020. "Spatial-Temporal Variation in the Impacts of Urban Infrastructure on Housing Prices in Wuhan, China," Sustainability, MDPI, vol. 12(3), pages 1-18, February.
    6. Takaaki Ohnishi & Takayuki Mizuno & Tsutomu Watanabe, 2020. "House price dispersion in boom–bust cycles: evidence from Tokyo," The Japanese Economic Review, Springer, vol. 71(4), pages 511-539, October.
    7. Takaaki Ohnishi & Takayuki Mizuno & Tsutomu Watanabe, 2019. "House Price Dispersion in Boom-Bust Cycles: Evidence from Tokyo," CARF F-Series CARF-F-461, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    8. Wenhao Xue & Xinyao Li & Zhe Yang & Jing Wei, 2022. "Are House Prices Affected by PM 2.5 Pollution? Evidence from Beijing, China," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    9. Jose Torres-Pruñonosa & Pablo García-Estévez & Josep Maria Raya & Camilo Prado-Román, 2022. "How on Earth Did Spanish Banking Sell the Housing Stock?," SAGE Open, , vol. 12(1), pages 21582440221, March.
    10. Jose Torres-Pruñonosa & Pablo García-Estévez & Camilo Prado-Román, 2021. "Artificial Neural Network, Quantile and Semi-Log Regression Modelling of Mass Appraisal in Housing," Mathematics, MDPI, vol. 9(7), pages 1-16, April.

  3. Siew Hoon Lim & Lei Zhang, 2017. "Does Casino Development Have a Positive Effect on Economic Growth?," Growth and Change, Wiley Blackwell, vol. 48(3), pages 409-434, September.

    Cited by:

    1. Adam Scavette, 2023. "The Economic Impact of a Casino Monopoly: Evidence from Atlantic City," Working Paper 23-07, Federal Reserve Bank of Richmond.
    2. Giotis Georgios, 2022. "Preliminary Results on the Employment Effect of Tourism. A meta-analysis," Papers 2206.00174, arXiv.org.
    3. Paulette J. O’Gilvie, 2023. "The effects of casino proximity and time on poverty levels in New York City," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    4. Paulette J. O’Gilvie, 2022. "The impact of casino proximity on northeast urban communities: a literature review," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.

  4. 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.

    Cited by:

    1. Arnab Biswas & Chris Cunningham & Kristopher Gerardi & Daniel Sexton, 2019. "Foreclosure Externalities and Vacant Property Registration Ordinances," FRB Atlanta Working Paper 2019-20, Federal Reserve Bank of Atlanta.

  5. 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. Rui Evangelista & João Andrade E Silva & Esmeralda A. Ramalho, 2021. "How heterogeneous is the impact of energy efficiency on dwelling prices? Evidence from the application of the unconditional quantile hedonic model to the Portuguese residential market," Working Papers REM 2021/0186, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    2. Trojanek, Radoslaw & Gluszak, Michal, 2022. "Short-run impact of the Ukrainian refugee crisis on the housing market in Poland," Finance Research Letters, Elsevier, vol. 50(C).
    3. Huang, Bin & He, Xiaoyan & Xu, Lei & Zhu, Yu, 2020. "Elite school designation and housing prices-quasi-experimental evidence from Beijing, China✰," Journal of Housing Economics, Elsevier, vol. 50(C).
    4. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar, 2022. "Dynamic Spatiotemporal ARCH Models," Papers 2202.13856, arXiv.org.
    5. Zavadskas, Edmundas Kazimieras & Kaklauskas, Arturas & Bausys, Romualdas & Naumcik, Andrej & Ubarte, Ieva, 2021. "Integrated hedonic-utilitarian valuation of the built environment by neutrosophic INVAR method," Land Use Policy, Elsevier, vol. 101(C).
    6. Hyejin Lee & Byoungkil Lee & Sangkyeong Lee, 2020. "The Unequal Impact of Natural Landscape Views on Housing Prices: Applying Visual Perception Model and Quantile Regression to Apartments in Seoul," Sustainability, MDPI, vol. 12(19), pages 1-19, October.
    7. 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.
    8. Mahdieh Yazdani, 2021. "House Price Determinants and Market Segmentation in Boulder, Colorado: A Hedonic Price Approach," Papers 2108.02442, arXiv.org.
    9. Evangelista, Rui & Silva, João Andrade e & Ramalho, Esmeralda A., 2022. "How heterogeneous is the impact of energy efficiency on dwelling prices? Evidence from the application of the unconditional quantile hedonic model to the Portuguese residential market," Energy Economics, Elsevier, vol. 109(C).
    10. Evangelista, Rui & Ramalho, Esmeralda A. & Andrade e Silva, João, 2020. "On the use of hedonic regression models to measure the effect of energy efficiency on residential property transaction prices: Evidence for Portugal and selected data issues," Energy Economics, Elsevier, vol. 86(C).
    11. Zambrano-Monserrate, Manuel A. & Ruano, María Alejandra & Yoong-Parraga, Cristina & Silva, Carlos A., 2021. "Urban green spaces and housing prices in developing countries: A Two-stage quantile spatial regression analysis," Forest Policy and Economics, Elsevier, vol. 125(C).
    12. 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).
    13. Yang, Linchuan & Chau, K.W. & Wang, Xu, 2019. "Are low-end housing purchasers more willing to pay for access to basic public services? Evidence from China," Research in Transportation Economics, Elsevier, vol. 76(C).
    14. Sangwan Lee & Liming Wang, 2022. "Intermediate Effect of the COVID-19 Pandemic on Prices of Housing near Light Rail Transit: A Case Study of the Portland Metropolitan Area," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    15. 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, vol. 11(2), pages 1-33, January.
    16. Huang, Bin & He, Xiaoyan & Xu, Lei & Zhu, Yu, 2020. "Elite School Designation and Housing Prices: Quasi-Experimental Evidence from Beijing, China," IZA Discussion Papers 12897, Institute of Labor Economics (IZA).
    17. Heiko Kirchhain & Jan Mutl & Joachim Zietz, 2020. "The Impact of Exogenous Shocks on House Prices: the Case of the Volkswagen Emissions Scandal," The Journal of Real Estate Finance and Economics, Springer, vol. 60(4), pages 587-610, May.
    18. Nik Mohd Sukrri, Nik Nor Amalina & Abd. Wahab, Norazlina & Mohd. Yusof, Rosylin, 2019. "Constructing an Enhanced House Price Index Model: Empirical Evidence," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 53(3), pages 117-128.
    19. Enwei Zhu & Jing Wu & Hongyu Liu & Xindian Li, 2022. "Within‐City Spatial Distribution, Heterogeneity and Diffusion of House Price: Evidence from a Spatiotemporal Index for Beijing," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(3), pages 621-655, September.
    20. Tian, Chuanhao & Peng, Ying & Wen, Haizhen & Yue, Wenze & Fang, Li, 2021. "Subway boosts housing values, for whom: A quasi-experimental analysis," Research in Transportation Economics, Elsevier, vol. 90(C).
    21. Zengzheng Wang & Fuhao Zhang & Yangyang Zhao, 2023. "Exploring the Spatial Discrete Heterogeneity of Housing Prices in Beijing, China, Based on Regionally Geographically Weighted Regression Affected by Education," Land, MDPI, vol. 12(1), pages 1-24, January.
    22. An, Galina & Becker, Charles & Cheng, Enoch, 2021. "Housing price appreciation and economic integration in a transition economy: Evidence from Kazakhstan," Journal of Housing Economics, Elsevier, vol. 52(C).
    23. Manuel A. Zambrano-Monserrate & Maria Alejandra Ruano & Carlos A. Silva & Ronald Campoverde & Christian Rosero & Daniel A. Sanchez-Loor, 2023. "Dynamism of the housing rental market in Guayaquil, Ecuador: an empirical analysis," Empirical Economics, Springer, vol. 64(2), pages 747-764, February.
    24. Hu, Lirong & He, Shenjing & Han, Zixuan & Xiao, He & Su, Shiliang & Weng, Min & Cai, Zhongliang, 2019. "Monitoring housing rental prices based on social media:An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies," Land Use Policy, Elsevier, vol. 82(C), pages 657-673.

  6. 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. Tao, Yong & Lin, Li & Wang, Hanjie & Hou, Chen, 2023. "Superlinear growth and the fossil fuel energy sustainability dilemma: Evidence from six continents," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 39-51.
    3. Barrera, Emiliano Lopez & Miljkovic, Dragan, 2022. "The link between the two epidemics provides an opportunity to remedy obesity while dealing with Covid-19," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 280-297.
    4. Esmaeili, Parisa & Rafei, Meysam, 2021. "Dynamics analysis of factors affecting electricity consumption fluctuations based on economic conditions: Application of SVAR and TVP-VAR models," Energy, Elsevier, vol. 226(C).
    5. 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.
    6. Dragan Miljkovic & Jungho Baek, 2019. "Monetary impacts and overshooting of energy prices: the case of the U.S. coal prices," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 32(3), pages 317-322, November.
    7. 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.
    8. Kaur, Charanjit & Siddiki, Jalal & Singh, Prakash, 2024. "The asymmetric impact of input prices, the Russia-Ukraine war and domestic policy changes on wholesale electricity prices in India: A quantile autoregressive distributed lag analysis," Energy Economics, Elsevier, vol. 132(C).
    9. Dragan Miljkovic & Cole Goetz, 2020. "Destabilizing role of futures markets on North American hard red spring wheat spot prices," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 887-897, November.
    10. Miljkovic, Dragan & Goetz, Cole, 2022. "Futures markets and price stabilisation: An analysis of soybeans markets in North America," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(01), December.
    11. Goetz, Cole & Miljkovic, Dragan & Barabanov, Nikita, 2021. "New empirical evidence in support of the theory of price volatility of storable commodities under rational expectations in spot and futures markets," Energy Economics, Elsevier, vol. 100(C).
    12. Miljkovic, Dragan & Goetz, Cole, 2020. "The effects of futures markets on oil spot price volatility in regional US markets," Applied Energy, Elsevier, vol. 273(C).
    13. Barnor, Kodjo & Caton, James & Miljkovic, Dragan, 2023. "The role of funding on research and science: The impact of glyphosate herbicides on health and the environment," Journal of Policy Modeling, Elsevier, vol. 45(1), pages 103-120.

  7. 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. 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.
    2. Ming Li & Guojun Zhang & Yunliang Chen & Chunshan Zhou, 2019. "Evaluation of Residential Housing Prices on the Internet: Data Pitfalls," Complexity, Hindawi, vol. 2019, pages 1-15, February.
    3. 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.
    4. Kanayama, Yuki & Sadayuki, Taisuke, 2021. "What types of houses remain vacant? Evidence from a municipality in Tokyo, Japan," Journal of the Japanese and International Economies, Elsevier, vol. 62(C).
    5. Suzuki, Masatomo & Hino, Kimihiro & Muto, Sachio, 2022. "Negative externalities of long-term vacant homes: Evidence from Japan," Journal of Housing Economics, Elsevier, vol. 57(C).

  8. 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. Xenxo Vidal-Llana & Carlos Salort Sánchez & Vincenzo Coia & Montserrat Guillen, 2022. ""Non-Crossing Dual Neural Network: Joint Value at Risk and Conditional Tail Expectation estimations with non-crossing conditions"," IREA Working Papers 202215, University of Barcelona, Research Institute of Applied Economics, revised Oct 2022.
    2. Małgorzata Dudzińska & Barbara Prus & Radosław Cellmer & Stanisław Bacior & Katarzyna Kocur-Bera & Anna Klimach & Agnieszka Trystuła, 2020. "The Impact of Flood Risk on the Activity of the Residential Land Market in a Polish Cultural Heritage Town," Sustainability, MDPI, vol. 12(23), pages 1-18, December.
    3. 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.
    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. Pei-Ing Wu & Yi Chen & Je-Liang Liou, 2021. "Housing property along riverbanks in Taipei, Taiwan: a spatial quantile modelling of landscape benefits and flooding losses," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 2404-2438, February.
    6. Mats Wilhelmsson, 2019. "Energy Performance Certificates and Its Capitalization in Housing Values in Sweden," Sustainability, MDPI, vol. 11(21), pages 1-16, November.
    7. Indaco, Agustín & Ortega, Francesc & Taspinar, Süleyman, 2018. "The Effects of Flood Insurance on Housing Markets," IZA Discussion Papers 11810, Institute of Labor Economics (IZA).
    8. 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.
    9. Agustín Indaco & Francesc Ortega & Süleyman Taṣpınar, 2021. "Hurricanes, flood risk and the economic adaptation of businesses," Journal of Economic Geography, Oxford University Press, vol. 21(4), pages 557-591.
    10. Yang, Linchuan & Chau, K.W. & Wang, Xu, 2019. "Are low-end housing purchasers more willing to pay for access to basic public services? Evidence from China," Research in Transportation Economics, Elsevier, vol. 76(C).
    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. Xiao, Yue & Wen, Haizhen & Hui, Eddie C.M. & Zhou, Ganghua, 2022. "Dynamic capitalization effects of educational facilities during different market stages: An empirical study in Hangzhou, China," Land Use Policy, Elsevier, vol. 122(C).
    13. 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.
    14. Sophie Häse & Georg Hirte, 2023. "The impact of unexpected flood events and adaption measures on lot prices [Die Auswirkungen von unerwarteten Hochwasserereignissen und Anpassungsmaßnahmen auf Grundstückspreise]," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 43(1), pages 29-68, April.
    15. 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, vol. 10(7), pages 1-23, June.
    16. Ismail, Muhammad & Warsame, Abukar & Wilhelmsson, Mats, 2020. "Measuring Gentrification with Getis-Ord Statistics and Its Effect on Housing Prices in Neighboring Areas: The Case of Stockholm," Working Paper Series 20/19, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    17. 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, vol. 11(7), pages 1-18, April.
    18. Laura A. Bakkensen & Xiaozhou Ding & Lala Ma, 2019. "Flood Risk and Salience: New Evidence from the Sunshine State," Southern Economic Journal, John Wiley & Sons, vol. 85(4), pages 1132-1158, April.
    19. Justin Contat & William M. Doerner & Robert N. Renner & Malcolm J. Rogers, 2024. "Measuring Price Effects from Disasters using Public Data: A Case Study of Hurricane Ian," FHFA Staff Working Papers 24-04, Federal Housing Finance Agency.
    20. 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).
    21. Avner,Paolo & Viguié,Vincent & Jafino,Bramka Arga & Hallegatte,Stephane, 2021. "Flood Protection and Land Value Creation - Not All Resilience Investments Are Created Equal," Policy Research Working Paper Series 9744, The World Bank.
    22. Pengyu Ren & Yuanli Li & Kairui You, 2021. "Residents’ Demands for Urban Retail: Heterogeneity in Housing Structure Characteristics, Price Quantile, and Space," Land, MDPI, vol. 10(12), pages 1-17, December.
    23. Zhang, Lei & Yi, Yimin, 2017. "Quantile house price indices in Beijing," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 85-96.
    24. Gabor Bekes & Aron Horvath & Zoltan Sapi, 2016. "Flood risk and housing prices: evidence from Hungary," CERS-IE WORKING PAPERS 1620, Institute of Economics, Centre for Economic and Regional Studies.
    25. Cohen, Jeffrey P. & Barr, Jason & Kim, Eon, 2021. "Storm surges, informational shocks, and the price of urban real estate: An application to the case of Hurricane Sandy," Regional Science and Urban Economics, Elsevier, vol. 90(C).
    26. 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.
    27. Bakkensen, Laura A. & Ma, Lala, 2020. "Sorting over flood risk and implications for policy reform," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    28. 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.
    29. Pengyu Ren & Zhaoji Li & Weiguang Cai & Lina Ran & Lei Gan, 2021. "Heterogeneity Analysis of Urban Rail Transit on Housing with Different Price Levels: A Case Study of Chengdu, China," Land, MDPI, vol. 10(12), pages 1-15, December.
    30. 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.
    31. Donggyu Yi & Hyundo Choi, 2020. "Housing Market Response to New Flood Risk Information and the Impact on Poor Tenant," The Journal of Real Estate Finance and Economics, Springer, vol. 61(1), pages 55-79, June.
    32. 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.
    33. Jiyoung Chae & Anil K. Bera, 2024. "Spatial Market Inefficiency in Housing Market: A Spatial Quantile Regression Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 69(1), pages 70-99, July.
    34. Pan, Chen-Yu, 2020. "Protections from natural disasters as local public goods: Migration and local adaptations," Regional Science and Urban Economics, Elsevier, vol. 85(C).
    35. Netusil, Noelwah R. & Moeltner, Klaus & Jarrad, Maya, 2019. "Floodplain designation and property sale prices in an urban watershed," Land Use Policy, Elsevier, vol. 88(C).
    36. Fang Wei & Lvwang Zhao, 2022. "The Effect of Flood Risk on Residential Land Prices," Land, MDPI, vol. 11(10), pages 1-18, September.
    37. 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, vol. 10(4), pages 1-23, March.

  9. 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. 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.
    2. 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.
    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. Yishen Liu & Anthony M. Yezer, 2021. "Foreclosure Externalities: Have We Confused the Cure with the Disease?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(S2), pages 428-460, September.
    7. Xian F. Bak & Geoffrey J. D. Hewings, 2019. "The heterogeneous spatial impact of foreclosures on nearby property values," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(3), pages 439-466, June.
    8. Bethany B. Cutts & Michael Minn, 2018. "Dead Grass: Foreclosure and the Production of Space in Maricopa County, Arizona," Urban Planning, Cogitatio Press, vol. 3(3), pages 16-25.
    9. 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.
    10. 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.
    11. Alter, Adrian & Mahoney, Elizabeth M., 2021. "Local house-price vulnerability: Evidence from the U.S. and Canada," Journal of Housing Economics, Elsevier, vol. 54(C).
    12. Mandai, Yu & Nakabayashi, Masaki, 2018. "Stabilize the peasant economy: Governance of foreclosure by the shogunate," Journal of Policy Modeling, Elsevier, vol. 40(2), pages 305-327.
    13. 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.
    14. António Almeida & Brian Garrod, 2017. "Insights from analysing tourist expenditure using quantile regression," Tourism Economics, , vol. 23(5), pages 1138-1145, August.
    15. 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.
    16. Kanayama, Yuki & Sadayuki, Taisuke, 2021. "What types of houses remain vacant? Evidence from a municipality in Tokyo, Japan," Journal of the Japanese and International Economies, Elsevier, vol. 62(C).
    17. Zhang, Lei & Yi, Yimin, 2017. "Quantile house price indices in Beijing," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 85-96.
    18. Suzuki, Masatomo & Hino, Kimihiro & Muto, Sachio, 2022. "Negative externalities of long-term vacant homes: Evidence from Japan," Journal of Housing Economics, Elsevier, vol. 57(C).
    19. 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.
    20. Jiyoung Chae & Anil K. Bera, 2024. "Spatial Market Inefficiency in Housing Market: A Spatial Quantile Regression Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 69(1), pages 70-99, July.
    21. Luc Anselin, 2019. "Quantile local spatial autocorrelation," Letters in Spatial and Resource Sciences, Springer, vol. 12(2), pages 155-166, August.

  10. 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 3 papers 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-MAC: Macroeconomics (3) 2009-05-02 2020-06-15 2020-06-29
  2. NEP-MON: Monetary Economics (3) 2009-05-02 2020-06-15 2020-06-29
  3. NEP-BAN: Banking (2) 2020-06-15 2020-06-29
  4. NEP-CBA: Central Banking (2) 2009-05-02 2020-06-15
  5. NEP-ORE: Operations Research (1) 2020-06-15

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. RePEc uses bibliographic data supplied by the respective publishers.