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Annick Bruggeman
- 25 April 2005
- WORKING PAPER SERIES - No. 470Details
- Abstract
- The quantity theory of money predicts a positive relationship between monetary growth and inflation over long-run horizons. However, in the short-run, transitory shocks to either money or inflation can obscure the inflationary signal stemming from money. The spectral analysis of time series provides filtering tools for removing fluctuations associated with certain frequency movements. However, use of these techniques in isolation is often criticised as being an oversimplistic statistical exercise potentially void of economic content. The objective of this paper is to develop 'structural' filtering techniques that rely on the use of spectral analysis in combination with a structural economic model with well identified shocks. A 'money augmented' Phillips curve that links inflation to money tightness and demand shocks of medium to long-term persistence is presented. It is shown that medium to long-term movements in inflation are mostly associated with the estimated monetary indicators.
- JEL Code
- E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E50 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→General
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
- 1 September 2003
- WORKING PAPER SERIES - No. 264Details
- Abstract
- This monthly monetary model for the euro area is gradually constructed from its two constituting components: a money demand and a loan demand model which both include the relation between the respective retail bank rates and the short-term market interest rate. Eventually, the encompassing monetary model allows for interactions between money and loans induced by the intermediation role of the banking sector. Estimating the encompassing model over the period January 1981 - September 2001 results in a money demand equation which corroborates the existing evidence. To stabilise the loan demand equation, however, an extra variable capturing the mergers and acquisitions wave of 1999-2000 is needed. Furthermore, the model rejects the frequently used assumption of complete separability in the pricing of loans and deposits and provides some evidence for the existence of a bank lending channel. Finally, the estimation of the Structural-VECM highlights very rich dynamics in the system.
- JEL Code
- C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
E41 : Macroeconomics and Monetary Economics→Money and Interest Rates→Demand for Money
E43 : Macroeconomics and Monetary Economics→Money and Interest Rates→Interest Rates: Determination, Term Structure, and Effects
E50 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→General
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
- 1 September 2003
- WORKING PAPER SERIES - No. 255Details
- Abstract
- This paper re-examines two data issues concerning euro area money demand: aggregation of national data and measurement of the own rate. The main purpose is to study if euro area money demand is subject to parameter non-constancies using formal tests rather than informal diagnostics. As a complement to inference based on asymptotics we perform small-scale bootstraps. The empirical evidence supports the existence of a stable long-run relationship between money and output and that the co-integration space is constant over time. However, the interest rate semi-elasticities of money demand are imprecisely estimated. Conditional on the co-integration relations the remaining parameters of the system appear to be constant. We also examine the relevance of stock prices for money demand and find that our measure does not matter for the long-run relations, but may be useful in forecasting exercises. Finally, the conclusions are robust for the aggregation method and the choice of sample.
- JEL Code
- C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
E41 : Macroeconomics and Monetary Economics→Money and Interest Rates→Demand for Money - Network
- Background study for the evaluation of the ECB's monetary policy strategy