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Important Channels of Transmission Monetary Policy Shock in South Africa

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  • Alain Kabundi
  • Eliphas Ndou
  • Nombulelo Gumata

Abstract

This paper investigates the di¤erent channels of transmission of monetary policy shock in South Africa in a data-rich environment. The analysis contains 165 quarterly variables observed from 1990Q1 to 2012Q2. We use a Large Bayesian Vector Autoregressive model, which can easily accommodate a large cross-section of variables without running out of degree of freedom. The […]

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  • Alain Kabundi & Eliphas Ndou & Nombulelo Gumata, 2013. "Important Channels of Transmission Monetary Policy Shock in South Africa," Working Papers 375, Economic Research Southern Africa.
    • Handle: RePEc:rza:wpaper:375
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    1. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2005. "The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 830-840, September.
    2. Korobilis, Dimitris, 2013. "Hierarchical shrinkage priors for dynamic regressions with many predictors," International Journal of Forecasting, Elsevier, vol. 29(1), pages 43-59.
    3. Kilian, Lutz, 1999. "Exchange Rates and Monetary Fundamentals: What Do We Learn from Long-Horizon Regressions?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 491-510, Sept.-Oct.
    4. Edward E. Leamer, 2007. "Housing is the business cycle," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 149-233.
    5. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    6. Koop, Gary & Korobilis, Dimitris, 2011. "UK macroeconomic forecasting with many predictors: Which models forecast best and when do they do so?," Economic Modelling, Elsevier, vol. 28(5), pages 2307-2318, September.
    7. Joe Peek & James A. Wilcox, 2006. "Housing, Credit Constraints, and Macro Stability: The Secondary Mortgage Market and Reduced Cyclicality of Residential Investment," American Economic Review, American Economic Association, vol. 96(2), pages 135-140, May.
    8. Kearl, J R, 1979. "Inflation, Mortgages, and Housing," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 1115-1138, October.
    9. Todd E. Clark & Michael W. McCracken, 2001. "Evaluating long-horizon forecasts," Research Working Paper RWP 01-14, Federal Reserve Bank of Kansas City.
    10. Chen, Jie & Zhu, Aiyong, 2008. "The relationship between housing investment and economic growth in China FA panel analysis using quarterly provincial data," Working Paper Series 2008:17, Uppsala University, Department of Economics.
    11. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    12. Dynan, Karen E. & Elmendorf, Douglas W. & Sichel, Daniel E., 2006. "Can financial innovation help to explain the reduced volatility of economic activity?," Journal of Monetary Economics, Elsevier, vol. 53(1), pages 123-150, January.
    13. Korobilis, Dimitris, 2013. "Bayesian forecasting with highly correlated predictors," Economics Letters, Elsevier, vol. 118(1), pages 148-150.
    14. Knetsch, Thomas A., 2010. "Trend and cycle features in German residential investment before and after reunification," Discussion Paper Series 1: Economic Studies 2010,10, Deutsche Bundesbank.
    15. S. Mahendra Dev, 2008. "India," Chapters, in: Anis Chowdhury & Wahiduddin Mahmud (ed.), Handbook on the South Asian Economies, chapter 1, Edward Elgar Publishing.
    16. Clements,Michael & Hendry,David, 1998. "Forecasting Economic Time Series," Cambridge Books, Cambridge University Press, number 9780521632423, September.
    17. Atsushi Inoue & Lutz Kilian, 2005. "In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?," Econometric Reviews, Taylor & Francis Journals, vol. 23(4), pages 371-402.
    18. Hasan, Mohammad S. & Taghavi, Majid, 2002. "Residential investment, macroeconomic activity and financial deregulation in the UK: an empirical investigation," Journal of Economics and Business, Elsevier, vol. 54(4), pages 447-462.
    19. Gary Koop & Simon Potter, 2004. "Forecasting in dynamic factor models using Bayesian model averaging," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 550-565, December.
    20. Michael T. Kiley & Jean-Philippe Laforte & Rochelle M. Edge, 2008. "The Sources of Fluctuations in Residential Investment: A View from a Policy-Oriented DSGE Model of the U.S. Economic," 2008 Meeting Papers 990, Society for Economic Dynamics.
    21. Jean Boivin & Serena Ng, 2005. "Understanding and Comparing Factor-Based Forecasts," International Journal of Central Banking, International Journal of Central Banking, vol. 1(3), December.
    22. John Krainer, 2006. "Residential investment over the real estate cycle," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue jun30.
    23. Lynn E. Browne, 2000. "National and regional housing patterns," New England Economic Review, Federal Reserve Bank of Boston, issue Jul, pages 31-57.
    24. Philip Arestis & Ana Rosa González-Martínez, 2015. "Residential Construction Activity in OECD Economies," Manchester School, University of Manchester, vol. 83(4), pages 451-474, July.
    25. Rochelle M. Edge, 2000. "The effect of monetary policy on residential and structures investment under differential project planning and completion times," International Finance Discussion Papers 671, Board of Governors of the Federal Reserve System (U.S.).
    26. Harvey, David I & Leybourne, Stephen J & Newbold, Paul, 1998. "Tests for Forecast Encompassing," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 254-259, April.
    27. Rapach, David E. & Wohar, Mark E. & Rangvid, Jesper, 2005. "Macro variables and international stock return predictability," International Journal of Forecasting, Elsevier, vol. 21(1), pages 137-166.
    28. Frédérick Demers, 2005. "Modelling and Forecasting Housing Investment: The Case of Canada," Staff Working Papers 05-41, Bank of Canada.
    29. Dunson, David B. & Herring, Amy H. & Engel, Stephanie M., 2008. "Bayesian Selection and Clustering of Polymorphisms in Functionally Related Genes," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 534-546, June.
    30. Luci Ellis & Laura Berger-Thomson, 2004. "Housing Construction Cycles and Interest Rates," Econometric Society 2004 Australasian Meetings 335, Econometric Society.
    31. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
    32. Richard K. Green, 1997. "Follow the Leader: How Changes in Residential and Non‐residential Investment Predict Changes in GDP," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 25(2), pages 253-270, June.
    33. Jonathan McCarthy & Richard Peach, 2002. "Monetary policy transmission to residential investment," Economic Policy Review, Federal Reserve Bank of New York, vol. 8(May), pages 139-158.
    34. McCracken, Michael W., 2007. "Asymptotics for out of sample tests of Granger causality," Journal of Econometrics, Elsevier, vol. 140(2), pages 719-752, October.
    35. Pami Dua & Nishita Raje & Satyananda Sahoo, 2008. "Forecasting Interest Rates in India," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 2(1), pages 1-41, March.
    36. Baghestani, Hamid, 2011. "Federal Reserve and private forecasts of growth in investment," Journal of Economics and Business, Elsevier, vol. 63(4), pages 290-305, July.
    37. K. J. Martijn Cremers, 2002. "Stock Return Predictability: A Bayesian Model Selection Perspective," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1223-1249.
    38. Alessi, Lucia & Barigozzi, Matteo & Capasso, Marco, 2010. "Improved penalization for determining the number of factors in approximate factor models," Statistics & Probability Letters, Elsevier, vol. 80(23-24), pages 1806-1813, December.
    39. N. Edward Coulson & Myeong-Soo Kim, 2000. "Residential Investment, Non-residential Investment and GDP," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 28(2), pages 233-247.
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    Cited by:

    1. Kabundi, Alain & Schaling, Eric & Some, Modeste, 2015. "Monetary policy and heterogeneous inflation expectations in South Africa," Economic Modelling, Elsevier, vol. 45(C), pages 109-117.
    2. Serena Merrino, 2021. "Wage inequality under inflationtargeting in South Africa," Working Papers 11018, South African Reserve Bank.
    3. Nicola Viegi & Tumisang Loate, 2021. "The transmission of monetary policy via the banks’ balance sheet – does bank size matter?," Working Papers 849, Economic Research Southern Africa.
    4. Emmanuel Owusu-Sekyere, 2016. "The impact of monetary policy on household consumption in South Africa. Evidence from Vector Autoregressive Techniques," Working Papers 598, Economic Research Southern Africa.
    5. Johannes PS Sheefeni, 2017. "Monetary Policy Transmission Mechanism in Namibia: A Bayesian VAR Approach," Journal of Economics and Behavioral Studies, AMH International, vol. 9(5), pages 169-184.
    6. Serena Merrino, 2020. "Wage inequality under inflation-targeting in South Africa," WIDER Working Paper Series wp-2020-86, World Institute for Development Economic Research (UNU-WIDER).
    7. Awdeh Ali, 2018. "Long-run and Short-run Monetary Policy Transmission Channels in Lebanon," Review of Middle East Economics and Finance, De Gruyter, vol. 14(1), pages 1-26, April.

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    More about this item

    Keywords

    Bayesian analysis; Financial Accounting;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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