2000年-世界发展银行全球_The_Impact_of_Banking_Crises_on____________Money_Demand_and_Price_Stability_86页_4mb

Summary of "The Impact of Banking Crises on Money Demand and Price Stability" by Maria Soledad Martinez Peria

Core Content

This working paper investigates the monetary effects of banking crises on money demand stability and price stability across seven countries: Chile, Colombia, Denmark, Japan, Kenya, Malaysia, and Uruguay. The study employs cointegration analysis and error correction modeling (ECM) to assess whether banking crises disrupt the long-run relationships between monetary indicators and prices.

Main Findings

• No systematic evidence is found that banking crises cause money demand instability.
• Structural breaks in the relationship between monetary indicators and prices are not consistently supported by the results.
• However, variance instability in the price or inflation equations is observed in three out of seven countries during banking crises.

Key Points

1. Banking Crises and Monetary Policy

• Banking crises can complicate monetary policy by destabilizing money demand and money multipliers.
• They may also reduce the effectiveness of monetary instruments and affect the relationship between monetary indicators and prices.
• Policymakers should not be overly concerned about the structural stability of money demand functions during crises, as they can be modeled using the same function as in tranquil periods.
• However, variance instability in price equations can occur, which may affect the reliability of monetary indicators.

2. Monetary Indicators and Price Stability

• Monetary indicators such as money aggregates, exchange rates, interest rates, and stock prices are important for understanding price behavior.
• The study finds that money, exchange rates, foreign prices, and domestic interest rates are significant indicators of price behavior.
• The information content of monetary indicators is evaluated using vector autoregressive models (VARs) and F-exclusion tests.

3. Empirical Methodology

• The paper uses monthly data from 1975 to 1998.
• It applies unit root tests, cointegration analysis, and error correction modeling to assess the long-run and short-run relationships between monetary variables and prices.
• The cointegration tests are based on Johansen's method to determine the number of cointegrating vectors.
• Parameter constancy tests are used to evaluate the stability of the money demand and price equations during banking crises.

4. Cointegration Analysis

• For each country, the cointegration analysis is conducted in three sectors: monetary, labor/wage, and external.
• The monetary sector includes variables such as money (M2), prices, income, and interest rates.
• The labor/wage sector includes nominal wages, unemployment rate, and prices.
• The external sector includes domestic and foreign prices, exchange rates, and interest rates.

5. Results by Country

• Chile, Denmark, Japan, Malaysia, and Uruguay (I(2) variables):

  • Found at least one cointegrating vector that can be interpreted as a long-run money demand equation.
  • Inflation has a negative impact on real money demand, and income has unit elasticity.
  • Own and outside interest rates have opposite and equal effects in Japan and Denmark.
  • In Chile and Malaysia, interest rates do not affect money demand.
  • Additional cointegrating vectors suggest trend stationarity in certain variables.

• Colombia and Kenya (I(1) variables):

  • Found at least one cointegrating vector that can be interpreted as a long-run money demand equation.
  • In Colombia, interest rates do not enter the long-run equation.
  • In Kenya, the outside rate of return on money has a negative impact on money demand.
  • Additional cointegrating vectors in Kenya indicate trend stationarity in output, outside interest rates, and the spread between own and outside rates of return.

6. Variance Instability

• Three countries (Chile, Denmark, and Kenya) show evidence of variance instability in the price equations during banking crises.
• This instability may be due to increased volatility or noisiness in the data, rather than a structural break in the relationship.

Conclusion

• The long-run money demand stability is not threatened by banking crises.
• The relationship between monetary indicators and prices remains structurally stable in most cases.
• Policymakers should focus on parameter constancy rather than statistical significance when assessing the impact of banking crises.
• The study contributes to the understanding of how banking crises affect monetary stability and provides a methodological improvement in the analysis of the information content of monetary indicators.

Methodology and Data

• Data Sources: National and international databases (central bank bulletins, ministry of finance reports, IMF, OECD).
• Time Period: January 1975 to June 1998 for all countries.
• Testing Procedures:
  • Unit root tests (Augmented Dickey-Fuller).
  • Cointegration tests (Johansen).
  • Error correction modeling to assess short-run dynamics.
  • Parameter constancy tests (Hansen, Chow F-test) to evaluate stability during crises.

Broader Implications

• This paper is part of the World Bank's broader research on banking crises and monetary policy.
• It was funded under the research project "Monetary Policy and Monetary Indicators during Banking Crises" (RPO 683-24).
• The findings suggest that monetary indicators can still be useful in price modeling during banking crises, provided that variance instability is accounted for.

References

• The study builds on earlier literature but improves the methodology by focusing on structural stability and variance instability.
• It also introduces controls for external and labor factors, such as wages, unemployment, and foreign prices.