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Credit supply shocks and household consumption in Russia
https://doi.org/10.32609/0042-8736-2021-9-24-50
Abstract
The paper presents a comparative analysis of the reaction of different consumer groups to the bank credit supply shocks. As parameters of consumer heterogeneity, we consider differences (i) in the form of home ownership (households with and without mortgages and tenants) and (ii) in the form of credit (households with large debt (mortgages, car loans), households with small (consumer) credit and without loans). For empirical analysis we use RLMS-HSE longitudinal Household Panel Survey for the period from 2006 to 2019, which covers two episodes of the credit crisis and post-crisis recovery. Bank credit supply shocks are estimated using the standard structural vector autoregression (SVAR) model, which also identifies aggregate supply and demand shocks and monetary policy shocks. Our results show that with a positive credit supply shock, which is equivalent to a 0.5 percentage point reduction in the interest rate on loans, households with mortgages increase their consumption by 2.1—2.5% more than households without mortgages. The observed effect is significant, since the average annual growth rate of consumption of households with mortgages in our sample is 3.8%. Our results indicate that the Bank of Russia’s macroprudential policy, which uses countercyclical capital buffers (Basel III) as a tool, can be very effective in smoothing the consumption of households with mortgage debt.
About the Authors
D. P. Kolesnik
MGIMO University
Russian Federation
Russian Federation
Daria P. Kolesnik
Moscow
Prague, Czech Republic
A. A. Pestova
MGIMO University; CERGE-EI, Charles University
Russian Federation
Russian Federation
Anna A. Pestova
Moscow
Prague, Czech Republic
M. E. Mamonov
MGIMO University; CERGE-EI, Charles University
Russian Federation
Russian Federation
Mikhail E. Mamonov
Moscow
References
1. Batashev R. V. (2016). The statistical approach to the estimation of loans influence on the level of consuming of Russian families. University News. North-Caucasian Region. Social Sciences Series, No. 3, pp. 67—72. (In Russian). https://doi.org/10.18522/0321-3056-2016-3-67-72
2. Mamedli M., Sinyakov A. (2017). Consumer lending in Russia: Prospects and risks based on household finance survey. Analytical note of the Bank of Russia Research and Forecasting Department.
3. Nivorozhkina L. I. (2014). Impact of consumer credit on the level of household inequality and poverty. University News. North-Caucasian Region. Social Sciences Series, No. 4, pp. 76—83. (In Russian).
4. Nivorozhkina L. I. (2016). Impact of consumer crediting on household consumption: Еconomic and statistical study. Voprosy Statistiki, No. 1, pp. 47—53. (In Russian). https://doi.org/10.34023/2313-6383-2016-0-1-47-53
5. Altissimo F., Georgiou E., Sastre T., Valderrama M. T., Sterne G., Stocker M., Weth M., Willman A. (2005). Wealth and asset price effects on economic activity. ECB Occasional Paper, No. 29.
6. Anderson E., Inoue A., Rossi B. (2016). Heterogeneous consumers and fiscal policy shocks. Journal of Money, Credit and Banking, Vol. 48, No. 8, pp. 1877—1888. https://doi.org/10.1111/jmcb.12366
7. Arellano M., Bond S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, Vol. 58, No. 2, pp. 277—297. https://doi.org/10.2307/2297968
8. Attanasio O. P., Blow L., Hamilton R., Leicester A. (2009). Booms and busts: Consumption, house prices and expectations. Economica, Vol. 76, No. 301, pp. 20—50. https:// doi.org/10.1111/j.1468-0335.2008.00708.x
9. Bassett W. F., Chosak M. B., Driscoll J. C., Zakrajsek E. (2014). Changes in bank lending standards and the macroeconomy. Journal of Monetary Economics, Vol. 62, pp. 23—40. https://doi.org/10.1016/j.jmoneco.2013.12.005
10. Christelis D., Georgarakos D., Jappelli T., Pistaferri L., Van Rooij M. (2019). Wealth shocks and MPC heterogeneity. NBER Working Рapers, No. 25999. https://doi.org/10.3386/w25999
11. Cloyne J., Ferreira C., Surico P. (2020). Monetary policy when households have debt: New evidence on the transmission mechanism. The Review of Economic Studies, Vol. 87, No. 1, pp. 102—129. https://doi.org/10.1093/restud/rdy074
12. Cunningham T. J. (2006). The predictive power of the senior loan officer survey: Do lending officers know anything special? Federal Reserve Bank of Atlanta Working Paper, No. 24. http://dx.doi.org/10.2139/ssrn.948711
13. De Bondt G., Maddaloni A., Peydro J.-L., Scopel S. (2010). The Euro area bank lending survey matters: Empirical evidence for credit and output growth. ECB Working Paper Series, No. 1160.
14. De Giorgi G., Gambetti L. (2012). The effects of government spending on the distribution of consumption. Barcelona GSE Working Paper, No. 645.
15. Del Giovane P., Eramo G., Nobili A. (2011). Disentangling demand and supply in credit developments: A survey-based analysis for Italy. Journal of Banking & Finance, Vol. 35, No. 10, pp. 2719—2732. https://doi.org/10.1016/j.jbankfin.2011.03.001
16. Del Giovane P., Eramo G., Nobili A. (2013). Supply tightening or lack of demand? An analysis of credit developments during the Lehman Brothers and the sovereign debt crises. Banca d’Italia Working Paper, No. 942. https://doi.org/10.2139/ssrn.2409009 Deryugina E., Kovalenko O., Pantina I., Ponomarenko A. (2015). Disentangling loan demand and supply shocks in Russia. Bank of Russia Working Paper Series, No. 3.
17. Eickmeier S., Ng T. (2015). How do US credit supply shocks propagate internationally? A GVAR Approach. European Economic Review, Vol. 74, pp. 128—145. https://doi.org/10.1016/j.euroecorev.2014.11.011
18. Gambetti L., Musso A. (2017). Loan supply shocks and the business cycle. Journal of Applied Econometrics, Vol. 32, No. 4, pp. 764—782. https://doi.org/10.1002/jae.2537
19. Gross D. B., Souleles N. S. (2002). Do liquidity constraints and interest rates matter for consumer behavior? Evidence from credit card data. Quarterly Journal of Еconomics, Vol. 117, No. 1, pp. 149—185. https://doi.org/10.1162/003355302753399472
20. Jensen T.L., Johannesen N. (2017). The consumption effects of the 2007—2008 financial crisis: Еvidence from households in Denmark. American Economic Review, Vol. 107, No. 11, pp. 3386—3414. https://doi.org/10.1257/aer.20151497
21. Kaplan G., Violante G. L., Weidner J. (2014). The wealthy hand-to-mouth. NBER Working Рaper, No. 20073. https://doi.org/10.3386/w20073
22. Kaplan G., Violante G. L. (2018). Microeconomic heterogeneity and macroeconomic shocks. Journal of Economic Perspectives, Vol. 32, No. 3, pp. 167—194. https:// doi.org/10.1257/jep.32.3.167
23. Kehoe P. J., Midrigan V., Pastorino E., Salgado S. (2020). On the dynamic effects of monetary policy with heterogeneous agents. Unpublished manuscript. https://drive.google.com/file/d/1lscoqsGIjjbIq6aDVQGtyOcXiKBa28Pv/view
24. Kiselev A., Mamonov M., Pestova A. (2020). Credit supply shocks and their macroeconomic implications in an emerging economy. Unpublished manuscript. https://drive.google.com/file/d/1qUy3KmwrkK3V5kYACHPK00sMJ5Dsu_xE/view
25. Krueger D., Mitman K., Perri F. (2016). Macroeconomics and household heterogeneity. In: J. B. Taylor, H. Uhlig (eds.). Handbook of macroeconomics, Vol. 2. Elsevier, pp. 843—921. https://doi.org/10.1016/bs.hesmac.2016.04.003
26. Lown C., Morgan D.P. (2006). The credit cycle and the business cycle: New finding using the loan officer opinion survey. Journal of Money, Credit and Banking, Vol. 38, No. 6, pp. 1575—1597. https://doi.org/10.1353/mcb.2006.0086
27. Maddaloni A., Peydró J.-L. (2013). Monetary policy, macroprudential policy, and banking stability: Еvidence from the euro area. Working Paper Series in European Central Bank, Vol. 9, No. 1, pp. 121—169.
28. Mumtaz H., Pinter G., Theodoridis K. (2018). What do VARs tell us about the impact of a credit supply shock? International Economic Review, Vol. 59, No. 2, pp. 625—646. https://doi.org/10.1111/iere.12282
29. Ozkan S., Mitman K., Karahan F., Hedlund A. (2017). Monetary policy, heterogeneity and the housing channel. Technical report. 2017 Meeting Papers, No. 1610, Society for Economic Dynamics.
30. Verner E., Gyöngyösi G. (2020). Household debt revaluation and the real economy: Еvidence from a foreign currency debt crisis. American Economic Review, Vol. 110, No. 9, pp. 2667—2702. https://doi.org/10.1257/aer.20181585
31. Wong A. (2018). Transmission of monetary policy to consumption and population aging. Unpublished manuscript. https://static1.squarespace.com/static/576576adbe659449f97e0d35/t/5abcfec903ce64f01a071986/1522335434551/Paper_Jan2018.pdf
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For citations:
Kolesnik D.P., Pestova A.A., Mamonov M.E. Credit supply shocks and household consumption in Russia. Voprosy Ekonomiki. 2021;(9):24-50. (In Russ.) https://doi.org/10.32609/0042-8736-2021-9-24-50
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