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New models for South African consumption, house prices, and mortgage and non-mortgage debt

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  • Janine Aron
  • John Muellbauer

Abstract

Aggregate consumption typically exceeds 60 per cent of GDP and should be pivotal in central bank policy models. Most use semi-structural macro-models, yet consumption is usually inadequately specified. We use a systems approach to estimate new equations for South African consumption, house prices, mortgage and non-mortgage debt, and income forecasting. A credit-augmented consumption function approach introduces a greater role for uncertainty and a key role for credit conditions, and varies the spendability of different wealth components. This provides new insights into the multiple monetary transmission mechanisms, from policy interest rates and credit conditions to aggregate demand, including via non-homogeneous household balance sheet items on consumption. Credit conditions for mortgages and for other debt move quite differently from each other, with implications for consumer spending. Non-mortgage debt covers a larger fraction of total household debt than in advanced market economies, affecting household financial vulnerability. Housing market participants tend to extrapolate recent house price changes when forming expectations of capital gains, so positive shocks to housing demand can feed back onto house prices and consumption and extend boom conditions. House prices and debt can overshoot relative to their fundamentals, affecting financial stability. These findings should benefit future policy modelling in South Africa.

Suggested Citation

  • Janine Aron & John Muellbauer, 2025. "New models for South African consumption, house prices, and mortgage and non-mortgage debt," CSAE Working Paper Series 2025-13, Centre for the Study of African Economies, University of Oxford.
  • Handle: RePEc:csa:wpaper:2025-13
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    References listed on IDEAS

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    1. Deaton, Angus, 1991. "Saving and Liquidity Constraints," Econometrica, Econometric Society, vol. 59(5), pages 1221-1248, September.
    2. Janine Aron & John Muellbauer, 2006. "Estimates Of Household Sector Wealth For South Africa, 1970–2003," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 52(2), pages 285-307, June.
    3. Daleen Smal & Coen Pretorius & Nelene Ehlers, 2007. "The core forecasting model of the South African Reserve Bank," Working Papers 3195, South African Reserve Bank.
    4. Meen, Geoffrey P, 1990. "The Measurement of Rationing and the Treatment of Structural Change in the UK Mortgage Market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 5(2), pages 167-187, April-Jun.
    5. Saul Pleeter & John T. Warner, 2001. "The Personal Discount Rate: Evidence from Military Downsizing Programs," American Economic Review, American Economic Association, vol. 91(1), pages 33-53, March.
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    Keywords

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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