Why does regional information matter? evidence from peer-to-peer lending

References

• Afridi, F., S. X. Li, and Y. Ren. 2015. “Social Identity and Inequality: The Impact of China's Hukou System.” Journal of Public Economics 123: 17–29. doi: 10.1016/j.jpubeco.2014.12.011
   Web of Science ®Google Scholar
• Agarwal, S., and I. Ben-David. 2018. “Loan Prospecting and the Loss of Soft Information.” Journal of Financial Economics 129: 608–628. doi: 10.1016/j.jfineco.2018.05.003
   Google Scholar
• Agarwal, S., and R. Hauswald. 2010. “Distance and Private Information in Lending.” The Review of Financial Studies 23: 2757–2788. doi: 10.1093/rfs/hhq001
   Web of Science ®Google Scholar
• Altonji, J., and C. Pierret. 2001. “Employer Learning and Statistical Discrimination.” Quarterly Journal of Economics 116: 313–350. doi: 10.1162/003355301556329
   Web of Science ®Google Scholar
• Arnott, S. 1972. “Some Mathematical Models of Race Discrimination in the Labor Market.” Racial Discrimination in Economic Life: 187–204.
   Google Scholar
• Arrow, K. J. 1998. “What Has Economics to Say About Racial Discrimination?” Journal of Economic Perspectives 12: 91–100. doi: 10.1257/jep.12.2.91
   Web of Science ®Google Scholar
• Baltzer, M., O. Stolper, and A. Walter. 2015. “Home-Field Advantage or a Matter of Ambiguity Aversion? Local Bias Among German Individual Investors.” The European Journal of Finance 21: 734–754. doi: 10.1080/1351847X.2013.877514
   Web of Science ®Google Scholar
• Barasinska, N., and D. Schäfer. 2010. “Does Gender Affect Funding Success at the Peer-to-Peer Credit Markets? Evidence from the Largest German Lending Platform”.
   Google Scholar
• Becker, G. S. 2010. The Economics of Discrimination. Chicago: University of Chicago press.
   Google Scholar
• Bellucci, A., A. Borisov, and A. Zazzaro. 2010. “Does Gender Matter in Bank–Firm Relationships? Evidence from Small Business Lending.” Journal of Banking & Finance 34: 2968–2984. doi: 10.1016/j.jbankfin.2010.07.008
   Web of Science ®Google Scholar
• Benston, G. J., and D. Horsky. 1992. “The Relationship Between the Demand and Supply of Home Financing and Neighborhood Characteristics: An Empirical Study of Mortgage Redlining.” Journal of Financial Services Research 5: 235–260. doi: 10.1007/BF00115320
   Google Scholar
• Bertrand, M., and S. Mullainathan. 2004. “Are Emily and Greg More Employable than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination.” American Economic Review 94: 991–1013. doi: 10.1257/0002828042002561
   Web of Science ®Google Scholar
• Blanchflower, D. G., P. B. Levine, and D. J. Zimmerman. 2003. “Discrimination in the Small-business Credit Market.” Review of Economics and Statistics 85: 930–943. doi: 10.1162/003465303772815835
   Web of Science ®Google Scholar
• Burtch, G., A. Ghose, and S. Wattal. 2014. “Cultural Differences and Geography as Determinants of Online Prosocial Lending.” MIS Quarterly 38: 773–794. doi: 10.25300/MISQ/2014/38.3.07
   Web of Science ®Google Scholar
• Cai, F., D. Wang, and Y. Du. 2002. “Regional Disparity and Economic Growth in China: The Impact of Labor Market Distortions.” China Economic Review 13: 197–212. doi: 10.1016/S1043-951X(02)00072-X
   Web of Science ®Google Scholar
• Caldieraro, F., J. Z. Zhang, M. Cunha Jr, and J. D. Shulman. 2018. “Strategic Information Transmission in Peer-to-Peer Lending Markets.” Journal of Marketing 82: 42–63. doi: 10.1509/jm.16.0113
   Web of Science ®Google Scholar
• Calomiris, C., C. Kahn, and S. Longhofer. 1994. “Housing Finance Intervention and Private Incentives: Helping Minorities and the Poor.” Journal of Money, Credit, and Banking 26: 634–74. doi: 10.2307/2077996
   Web of Science ®Google Scholar
• Chander, A. 2016. “The Racist Algorithm.” Michigan Law Review 115: 1023.
   Google Scholar
• Chen, X., D. Ye, and J. Deng. 2018. “Can Readability of Loan Description Promote Lending Success Rate of Online.” China Industrial Economics 3: 174–192.
   Google Scholar
• Cheng, P., Z. Lin, and Y. Liu. 2015. “Racial Discrepancy in Mortgage Interest Rates.” The Journal of Real Estate Finance and Economics 51: 101–120. doi: 10.1007/s11146-014-9473-0
   Web of Science ®Google Scholar
• Claessens, S., J. Frost, G. Turner, and F. Zhu. 2018. “Fintech Credit Markets Around the World: Size, Drivers and Policy Issues.” BIS Quarterly Review, September.
   Google Scholar
• Deku, S. Y., A. Kara, and P. Molyneux. 2016. “Access to Consumer Credit in the UK.” The European Journal of Finance 22: 941–964. doi: 10.1080/1351847X.2015.1019641
   Web of Science ®Google Scholar
• Dell Ariccia, G., D. Igan, and L. U. Laeven. 2012. “Credit Booms and Lending Standards: Evidence from the Subprime Mortgage Market.” Journal of Money, Credit and Banking 44: 367–384. doi: 10.1111/j.1538-4616.2011.00491.x
   Web of Science ®Google Scholar
• Ding, J., Y. Li, Y. Zeng, and Z. Li. 2018. “Double Information Value and Information Transfer of Two-Way Traders in P2P Online Lending.” Nankai Management Review 2: 4–15.
   Google Scholar
• Dorfleitner, G., C. Priberny, S. Schuster, J. Stoiber, M. Weber, I. de Castro, and J. Kammler. 2016. “Description-Text Related Soft Information in Peer-to-Peer Lending–Evidence from Two Leading European Platforms.” Journal of Banking & Finance 64: 169–187. doi: 10.1016/j.jbankfin.2015.11.009
   Web of Science ®Google Scholar
• Duarte, J., S. Siegel, and L. Young. 2012. “Trust and Credit: The Role of Appearance in Peer-to-Peer Lending.” The Review of Financial Studies 25: 2455–2484. doi: 10.1093/rfs/hhs071
   Web of Science ®Google Scholar
• Edie, L., and W. Riefler. 1931. “Money Rates and Money Markets in the United States.” Journal of the American Statistical Association 26: 112. doi: 10.2307/2278279
   Google Scholar
• Feller, J., R. Gleasure, and S. Treacy. 2017. “Information Sharing and User Behavior in Internet-Enabled Peer-to-Peer Lending Systems: An Empirical Study.” Journal of Information Technology 32: 127–146. doi: 10.1057/jit.2016.1
   Web of Science ®Google Scholar
• Feng, K., K. Hubacek, and D. Guan. 2009. “Lifestyles, Technology and CO2 Emissions in China: A Regional Comparative Analysis.” Ecological Economics 69: 145–154. doi: 10.1016/j.ecolecon.2009.08.007
   Web of Science ®Google Scholar
• Fershtman, C., and U. Gneezy. 2001. “Discrimination in a Segmented Society: An Experimental Approach.” The Quarterly Journal of Economics 116: 351–377. doi: 10.1162/003355301556338
   Web of Science ®Google Scholar
• Freedman, S., and G. Z. Jin. 2017. “The Information Value of Online Social Networks: Lessons from Peer-to-Peer Lending.” International Journal of Industrial Organization 51: 185–222. doi: 10.1016/j.ijindorg.2016.09.002
   Web of Science ®Google Scholar
• Funk, B., D. Buerckner, M. Hilker, F. Kock, M. Lehmann, and P. Tiburtius, et al. 2011. “Online Peer-to-Peer Lending: A Literature Review.” The Journal of Internet Banking and Commerce 16: 1–18.
   Google Scholar
• Goering, J. M. 1996. Mortgage Lending, Racial Discrimination, and Federal Policy. Washington, DC: The Urban Institute Press.
   Google Scholar
• Guariglia, A., and S. Mateut. 2016. “External Finance and Trade Credit Extension in China: Does Political Affiliation Make a Difference?” The European Journal of Finance 22: 319–344. doi: 10.1080/1351847X.2012.762030
   Web of Science ®Google Scholar
• Guo, Y., W. Zhou, C. Luo, C. Liu, and H. Xiong. 2016. “Instance-Based Credit Risk Assessment for Investment Decisions in P2P Lending.” European Journal of Operational Research 249: 417–426. doi: 10.1016/j.ejor.2015.05.050
   Web of Science ®Google Scholar
• Guryan, J., and K. K. Charles. 2013. “Taste-Based or Statistical Discrimination: The Economics of Discrimination Returns to its Roots.” The Economic Journal 123: F417–F432. doi: 10.1111/ecoj.12080
   Web of Science ®Google Scholar
• Hajian, S., F. Bonchi, and C. Castillo. 2016. “Algorithmic Bias: From Discrimination Discovery to Fairness-Aaware Data Mining.” In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2125–2126. ACM.
   Google Scholar
• Han, S. 2011. “Creditor Learning and Discrimination in Lending.” Journal of Financial Services Research40: 1–27. doi: 10.1007/s10693-011-0101-3
   Web of Science ®Google Scholar
• Han, J. T. 2018. “The Persuasion of Borrowers Voluntary Information in Peer-to-Peer Lending: An Empirical Study Based on Elaboration Likelihood Model.” Computers in Human Behavior 78: 200–214. doi: 10.1016/j.chb.2017.09.004
   Web of Science ®Google Scholar
• Huyghebaert, N., and L. Wang. 2016. “Institutional Development and Financing Decisions: Evidence from a Cross-Regional Study on Chinese Listed Firms.” The European Journal of Finance 22: 288–318. doi: 10.1080/1351847X.2013.773263
   Web of Science ®Google Scholar
• Iyer, R. 2009. “Screening in New Credit Markets: Can Individual Lenders Infer Borrower Creditworthiness in Peer-to-Peer Lending?” Management Science 59: 17–35.
   Google Scholar
• Jiang, C., Z. Wang, R. Wang, and Y. Ding. 2018. “Loan Default Prediction by Combining Soft Information Extracted from Descriptive Text in Online Peer-to-Peer Lending.” Annals of Operations Research 266: 511–529. doi: 10.1007/s10479-017-2668-z
   Web of Science ®Google Scholar
• Jiang, Y., and A. Zhou. 2016. “Is There Regional Discrimination in P2P Lending? Empirical Data from Renrendai.” Journal of Central University of Finance and Economics 2016: 29–39.
   Google Scholar
• Kanbur, R., and X. Zhang. 1999. “Which Regional Inequality? The Evolution of Rural–Urban and Inland–Coastal Inequality in China From 1983 to 1995.” Journal of Comparative Economics 27: 686–701. doi: 10.1006/jcec.1999.1612
   Web of Science ®Google Scholar
• Klafft, M. 2008. “Online Peer-to-Peer Lending: A Lenders' Perspective.” SSRN Electronic Journal. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1352352.
   Google Scholar
• Knowles, J., N. Persico, and P. Todd. 2001. “Racial Bias in Motor Vehicle Searches: Theory and Evidence.” Journal of Political Economy 109: 203–229. doi: 10.1086/318603
   Web of Science ®Google Scholar
• Ladd, H. 1998. “Evidence on Discrimination in Mortgage Lending.” Journal of Economic Perspectives12: 41–62. doi: 10.1257/jep.12.2.41
   Web of Science ®Google Scholar
• Larrimore, L., L. Jiang, J. Larrimore, D. Markowitz, and S. Gorski. 2011. “Peer to Peer Lending: The Relationship Between Language Features, Trustworthiness, and Persuasion Success.” Journal of Applied Communication Research 39: 19–37. doi: 10.1080/00909882.2010.536844
   Web of Science ®Google Scholar
• Liao, L., M. Li, and Z. Wang. 2014a. “The Intelligent Investor: Not-Fully-Marketized Interest Rate and Risk Identify–Evidence From P2P Lending.” Economic Research Journal 2014: 125–137.
   Google Scholar
• Liao, L., M. Li, and Z. Wang. 2014b. “Regional Discrimination in Chinese Internet Finance.” The Journal of Quantitative & Technical Economics 31: 54–70.
   Google Scholar
• Liberti, J. M. 2017. “Initiative, Incentives, and Soft Information.” Management Science 64: 3714–3734. doi: 10.1287/mnsc.2016.2690
   Web of Science ®Google Scholar
• Liberti, J. M., and M. A. Petersen. 2018. “Information: Hard and Soft.” Review of Corporate Finance Studies 8: 1–41. doi: 10.1093/rcfs/cfy009
   Web of Science ®Google Scholar
• Lin, Y., and C. Fu. 2017. “Jilin Revitalization From the Perspective of New Structural Economics: Analysis, Tools and Policy Plans in Jilin Report.” Social Science Journal 6: 5–20.
   Google Scholar
• Lin, M., N. R. Prabhala, and S. Viswanathan. 2013. “Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending.” Management Science 59: 17–35. doi: 10.1287/mnsc.1120.1560
   Web of Science ®Google Scholar
• Meyer, P. A. 1967. “Price Discrimination, Regional Loan Rates, and the Structure of the Banking Industry.” The Journal of Finance 22: 37–48.
   Web of Science ®Google Scholar
• Munnell, A. H., G. M. Tootell, L. E. Browne, and J. McEneaney. 1993. “Is Discrimination Racial or Geographic?” Manuscript. Federal Reserve Bank of Boston, undated.
   Google Scholar
• Muravyev, A., O. Talavera, and D. Schäfer. 2009. “Entrepreneurs' Gender and Financial Constraints: Evidence from International Data.” Journal of Comparative Economics 37: 270–286. doi: 10.1016/j.jce.2008.12.001
   Web of Science ®Google Scholar
• Netzer, O., A. Lemaire, and M. Herzenstein. 2019. “When Words Sweat: Identifying Signals for Loan Default in the Text of Loan Applications.” Journal of Marketing Research 56: 960–980. doi: 10.1177/0022243719852959
   Web of Science ®Google Scholar
• Newey, W. K. 1987. “Efficient Estimation of Limited Dependent Variable Models with Endogenous Explanatory Variables.” Journal of Econometrics 36: 231–250. doi: 10.1016/0304-4076(87)90001-7
   Web of Science ®Google Scholar
• Peng, H., L. Yang, and X. Tan. 2016. “How Regional Differences Affect P2P Lending Behavior–Based on Empirical Evidence of Renrendai.” Journal of Contemporary Economics 38: 21–34.
   Google Scholar
• Pęski, M., and B. Szentes. 2013. “Spontaneous Discrimination.” American Economic Review 103: 2412–2436. doi: 10.1257/aer.103.6.2412
   Web of Science ®Google Scholar
• Phelps, E. 1972. “The Statistical Theory of Racism and Sexism.” The American Economic Review 62: 659.
   Web of Science ®Google Scholar
• Pope, D., and J. Sydnor. 2011. “What's in a Picture? Evidence of Discrimination from Prosper.com.” Journal of Human Resources 46: 53–92. doi: 10.1353/jhr.2011.0025
   Web of Science ®Google Scholar
• Puro, L. 2010. “Borrower Decision Aid for People-to-People Lending.” Decision Support Systems 49: 52–60. doi: 10.1016/j.dss.2009.12.009
   Web of Science ®Google Scholar
• Ravina, E. 2007. “Beauty, Personal Characteristics, and Trust in Credit Markets.” SSRN Electronic Journal. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=972801.
   Google Scholar
• Schafer, R., and H. Ladd. 1981. Discrimination in Mortgage Lending. Cambridge, MA: MIT Press.
   Google Scholar
• Serrano-Cinca, C., B. Gutierrez-Nieto, and L. Lopez-Palacios. 2015. “Determinants of Default in P2P Lending.” PloS One 10: 0139427. doi: 10.1371/journal.pone.0139427
   PubMed Web of Science ®Google Scholar
• Spence, M. 1978. “Job Market Signaling.” In Uncertainty in Economics, 281–306. Elsevier.
   Google Scholar
• Tang, H. 2019. “Peer-to-Peer Lenders Versus Banks: Substitutes or Complements?” The Review of Financial Studies 32: 1900–1938. doi: 10.1093/rfs/hhy137
   Web of Science ®Google Scholar
• Terza, J. V., A. Basu, and P. J. Rathouz. 2008. “Two-Stage Residual Inclusion Estimation: Addressing Endogeneity in Health Econometric Modeling.” Journal of Health Economics 27: 531–543. doi: 10.1016/j.jhealeco.2007.09.009
   PubMed Web of Science ®Google Scholar
• Thompson, P., and C. J. Cowton. 2004. “Bringing the Environment into Bank Lending: Implications for Environmental Reporting.” The British Accounting Review 36: 197–218. doi: 10.1016/j.bar.2003.11.005
   Google Scholar
• Turner, M. 1999. “Mortgage Lending Discrimination: A Rreview of Existing Evidence”.
   Google Scholar
• Wang, T., and T. Zheng. 2017. “External Environmental Influencing Factors of Regional Differences in China's P2P Online Loan Industry.” Technical Economy 36: 98–105.
   Google Scholar
• Wei, Z., and M. Lin. 2016. “Market Mechanisms in Online Peer-to-Peer Lending.” Management Science63: 4236–4257. doi: 10.1287/mnsc.2016.2531
   Web of Science ®Google Scholar
• Weiss, G. N., K. Pelger, and A. Horsch. 2010. “Mitigating Adverse Selection in P2P Lending–Empirical Evidence from prosper.com”.
   Google Scholar
• Xu, J. J., and M. Chau. 2018. “Cheap Talk? The Impact of Lender-Borrower Communication on Peer-to-Peer Lending Outcomes.” Journal of Management Information Systems 35: 53–85. doi: 10.1080/07421222.2018.1440776
   Web of Science ®Google Scholar
• Zhao, S., and T. Xu. 2016. “Why Keqiang Li is Worried About ‘No Investment Outside Shanhaiguang’.” Accessed 19 July 2008. http://www.bjnews.com.cn/news/2016/10/20/420551.html.
   Google Scholar