Malinen, Tuomas (2014): Does income inequality contribute to credit cycles?
Preview |
PDF
MPRA_paper_52831.pdf Download (169kB) | Preview |
Abstract
Recent literature has presented arguments linking income inequality on the financial crash of 2007 - 2009. One proposed channel is expected to work through bank credit. We analyze the relationship between income inequality and bank credit in panel cointegration framework, and find that they have a long-run dependency relationship. Results show that income inequality has contributed to the increase of bank credit in developed economies after the Second World War.
Item Type: | MPRA Paper |
---|---|
Original Title: | Does income inequality contribute to credit cycles? |
Language: | English |
Keywords: | top 1% income share, bank loans, cointegration |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models D - Microeconomics > D3 - Distribution > D31 - Personal Income, Wealth, and Their Distributions G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages |
Item ID: | 52831 |
Depositing User: | Tuomas Malinen |
Date Deposited: | 24 Apr 2014 17:00 |
Last Modified: | 26 Sep 2019 19:02 |
References: | Albanesi S. (2007). Inflation and inequality. Journal of Monetary Economics, 54(4): 1088–1114. Atkinson AB. and S. Morelli (2011). Economic crises and inequality. United Nations, Human Development Report. Atkinson AB, Piketty T, and E. Saez (2011). The World Top Incomes Database. http://g-mond.parisschoolofeconomics.eu/topincomes. Accessed 7th of June 2011. Banerjee A, Carrion-i-Silvestre J. (2011) Cointegration in panel data with breaks and cross-section dependence. University of Birmingham Department of Economics discussion paper no. 11-25. Bordo MD, Meissner CM. (2012). Does inequality lead to a financial crisis? Journal of International Money and Finance, 31: 2147-2161. Borio, C. and White W.W. (2003). Whither money and financial stability? The implications of evolving policy regimes. In: Monetary Policy and Uncertainty: Adapting to a Changing Economy: a Symposium Federeal Reserve Bank of Kansas City, pp. 131-211. D’Onofrio, A. and P. Murro (2013). Local banking development and income distribution across Italian provinces. CASMEF working paper no. 7. Emirmahmutoglu, Furkan and Nezir Kose (2011). Testing for Granger causality in heterogeneous mixed panels. Economic Modelling 28: 870-876. Fisher, R.A. (1932). Statistical Methods for Research Workers, 4th edition. Edinburgh: Oliver and Boyd. Gorton, Gary B. (2012). Misunderstanding Financial Crises: Why We Don’t See Them Coming. New York: Oxford University Press. Iacoviello, M. (2008). Household debt and income inequality, 1963-2003. Journal of Money, Credit and Banking, 40(5): 929-965. In’t Veld, J. R. Raciborski, M Ratto and W Roeger (2011). The recent boom-bust cycle: the relative contribution of capital flows, credit supply and asset bubbles. European Economic Review, 55: 386–406. Im K, Pesaran H, Shin Y (2003) Testing for unit roots in heteregenous panels. Journal of Econometrics, 115(1):53-74. Kumhof M, Ranciére R. (2010). Inequality, leverage and crises. IMF working paper 10/268. Leigh, A. (2007). How closely do top income shares track other measures of inequality? Economic Journal, 117: 619-33. Levin A, Lin CF, Chu CS (2002) Unit root tests in panel data: asymptotic and finite-sample properties. Journal of Econometrics, 108(1):1-24. Maddala G, Wu S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Econics and Statistics, 61(special issue): 631-652. Mark N, Ogaki M, Sul D. (2005). Dynamic seemingly unrelated cointegrating regressions. Review of Economic Studies, 72 (3): 797-820. Mendoza, E.G. and M. Terrones (2008). An anatomy of credit booms: evidence from the macroaggregates and microdata. NBER working paper 14049. Pesaran H. (2007). A simple panel unit root test in the presence of cross section dependence. Journal of Applied Econometrics, 22(2): 265-315 Pedroni P. (2004). Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to PPP hypothesis. Econometric Theory, 20 (3): 597-625 Pedroni P. (1999). Critical values for cointegration tests in heterogenous panels with multiple regressors. Oxford Bulletin of Economics and Statistics, 61(special issue): 653-670 . Perugini C., J. Hölscher and S. Collie (2013). Inequality, credit expansion and financial crises. MPRA discussion paper no 51336. Phillips P.C.B, Sul D. (2003). Dynamic Panel Estimation and Homogeneity Testing under Cross Section Dependence. Econometrics Journal, 6: 217–259. Rajan RG. (2010). Fault Lines: How hidden fractures still threaten the world economy. Princeton: Princeton University Press. Roine, J. and D.Waldenström (2011). Common trends and shocks to top incomes: a structural breaks approach. Review of Economics and Statistics, 93(3): 832-846. Roine, Jesper, Jonas Vlachos and Daniel Waldenström (2009). The long-run determinants of inequality: what can we learn from top income data? Journal of Public Economics, 93: 974-988. Roy S. and D. Kemme (2012). Causes of banking crises: deregulation, credit booms and asset bubbles, then and now. International Review of Economics and Finance, 24: 270–294. Schularik M, Taylor AM. (2012). Credit booms gone bust: monetary policy, leverage cycles and financial crises, 1870-2008. American Economic Review, 102(2): 1029–1061. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/52831 |