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How is the Hyperinflation in Zimbabwe Different?

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Hyperinflation in Zimbabwe

Abstract

This chapter addresses two alternative reasons for hyperinflation in Zimbabwe: was it caused by speculation in the private sector or did reduced foreign aid result in the government using seigniorage to finance the deficit? A long-run money demand equation is estimated with an ARDL model, which is then used to test for self-perpetuating price movements and to study the interaction between money and prices. We find that prices were not self-perpetuating. Finally, the revenue-maximising level of seigniorage is calculated, and the scale of the reduction in ODA is compared to the fall in domestic financing. We find that authorities converged on a seigniorage-maximisation path only towards the end of the period of interest. We cannot reject that ODA had been expected to grow substantially from year 2000, and that it was this shortfall that the government financed by borrowing from the Reserve Bank of Zimbabwe.

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Notes

  1. 1.

    See Appendix 3 for OLS and AR(1) results on a simple Cagan money demand model. In addition to providing results on a standard Cagan model the appendix provides additional motivation for the use of the new CER price series and for the use of estimation techniques that specifically account for time series behaviour.

  2. 2.

    The F-statistic for the specification in Eq. (4.1) is 9.05, above the relevant 2.5 per cent critical value of 8.27, although below the 1 per cent value of 9.63. The null of no cointegration is rejected (at the 2.5 per cent level).

  3. 3.

    The period from 2000M1 to 2008M1 is used as it is a long enough time period over which to estimate an ARDL ECM. This time period from 2000 is characterised by a large increase in the inflation rate when compared to the pre-2000 average.

  4. 4.

    India’s rate of convergence is −0.47 whilst that of Thailand is −0.01 (Bahmani-Oskooee and Rehman 2005). These estimates are for periods of relatively low inflation; however, they are still indicative of the range of estimates that might be expected for money demand functions estimated in this way.

  5. 5.

    Results available from the authors on request.

  6. 6.

    In addition, in the early 2000s, the “Prescribed Asset Ratio” (applicable to pension funds and insurance companies) and the “Statutory Reserve Ratio” (applicable to banks) allowed the RBZ access to domestic savings before the authorities resorted to the printing presses.

  7. 7.

    This is calculated as: 1/0.31 × 100, where 0.31 is the long-run elasticity on inflation, as estimated in the ECM (see Table 7.1).

  8. 8.

    Or 2417 per cent per year, 201 per cent per month, using simple growth rates.

  9. 9.

    Comparable figures for South Africa indicate that the cost of printing notes and coin comprise between 40 per cent and 60 per cent of total operating costs, this equates to 0.05 per cent of 2009 GDP. In a high inflation situation, the share of printing costs in total operating costs may become larger.

  10. 10.

    Tax revenue is proportional in Zimbabwe. As long as the tax base is not altered, inflation should raise increasing amounts of tax. Thus, Tanzi-effects are not pertinent to this discussion. However, this is clearly a partial equilibrium story: given the other large shocks to the economy, it is expected that domestic financing options become limited as the productive capacity of the economy declines.

  11. 11.

    It is acknowledged that debt accumulation as well as borrowing costs inform part of the government’s budget constraint; however, the focus here is on revenue flows. As a result, net debt flow rather than total debt owed is the appropriate variable for this chapter.

  12. 12.

    Results are robust to changes of several months to the start of this period.

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Correspondence to Tara McIndoe-Calder .

Appendix: Empirical Motivation

Appendix: Empirical Motivation

Estimation is carried out on the log-linearised Cagan demand for money Eq. (4.11). Table 7.6 provides empirical motivation for the use of the novel CER price series and for augmenting the baseline Cagan model to take explicit account of both exogenous shocks and time series effects. Real money balances are regressed on inflation and exogenous shock variables using OLS and AR(1) estimation techniques. Columns (1) and (2) use the CPI series to measure inflation and deflate M1 in the dependent variable. The expected inverse relationship between inflation and RealMB is found only for the inflation rate measured using the CPI series when estimated via an AR(1) process (Column (2)). The change in sign on the inflation rate between Columns (1) and (2) and an AR(1) term of one in Column (2) indicates the need for an alternative measure of prices and that the persistence of the dependent variable needs to be modelled explicitly. The CER series is used in the remainder of the empirical work. In all specifications, inflation is negative and highly significant: accelerating price rises reduce holdings of real money balances. Introduction of an AR(1) term results in reduced precision on the exogenous variables indicating the trade-off between accounting simultaneously for time series behaviour and exogenous shocks. We include a dummy variable (Tail) for the hyperinflation period 2006M09 to 2008M1Footnote 12 and interact this with the inflation rate in Column (5) to establish whether the hyperinflationary period is driving the relationship of interest between RealMB and prices in Zimbabwe. The Tail dummy is not significant; however, the interaction term is both significant and positive. During periods of very high inflation in the country, increases in the inflation rate reduce the holdings of RealMB by a smaller amount than at other times. The interaction term suggests that this effect dampens the relationship between money and prices by about 40 per cent and may indicate a weakening in the relationship between money and prices as agents switch to holding alternate currencies as both a store of value and a medium of exchange. This is confirmed in Columns (6) and (7) which estimate a money demand relationship for the period up to the start of hyperinflation (1980 to mid-2006) and for only the hyperinflationary period (mid-2006 to early 2008), respectively. The coefficient on the inflation rate remains significant and negative for both sub-samples, although it is smaller in Column (7), for the reasons suggested above.

Table 7.6 Empirical motivation

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McIndoe-Calder, T., Bedi, T., Mercado, R. (2019). How is the Hyperinflation in Zimbabwe Different?. In: Hyperinflation in Zimbabwe. Palgrave Pivot, Cham. https://doi.org/10.1007/978-3-030-31015-8_7

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  • DOI: https://doi.org/10.1007/978-3-030-31015-8_7

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  • Publisher Name: Palgrave Pivot, Cham

  • Print ISBN: 978-3-030-31014-1

  • Online ISBN: 978-3-030-31015-8

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