Estimation of a German money demand system – a long-run analysis

This study presents a multivariate analysis of the stability of long-run relationships between variables that influence the conduct and transmission process of the German monetary policy. The initial VAR comprises the variables real money M3, real GNP, the inflation rate, a long-term and a weighted short-term interest rate. A multivariate approach has been chosen, as this allows for more than one cointegration relationship and to test restrictions on the cointegration space. In contrast to most other studies on German monetary policy, three stable and economically plausible cointegration relationships are obtained simultaneously within the framework of the Johansen procedure: a money demand relationship, a long-run Fisher effect and a long-run relationship between the short- and the long-term interest rate. It is apparent that the structural break of German reunification can be modelled incorporating dummy variables in the model. First version received: October 1996/final version received: July 1997     

Turkish monetary policy and components of aggregate demand: a VAR analysis with sign restrictions model

This article estimates the effects of monetary policy on components of aggregate demand using quarterly data on Turkish economy from 1987–2008 by means of structural Vector Autoregression (VAR) methodology. This study adopts Uhlig's (2005) sign restrictions on the impulse responses of main macroeconomic variables to identify monetary shock. This study finds that expansionary monetary policy stimulates output through consumption and investment in the short-run. However, expansionary monetary policy is ineffective in the long-run.     

Sources of exchange rate fluctuations with Taylor rule fundamentals

This paper investigates the sources of exchange rate fluctuations when monetary policy follows a Taylor rule interest rate reaction function. We first present a simple dynamic exchange rate model with Taylor rule fundamentals which is triangular in the long-run impacts of shocks to the output market, the interest rate differential, and the Taylor rule. We then proceed to assess the relative importance of various shocks in exchange rate determination by estimating a structural VAR with long-run identification restrictions based on the triangular structure of the model. We find demand shocks to be less important than in earlier VAR studies, with both supply shocks and nominal shocks explaining a substantial part of real exchange rate fluctuations.     

Modest macroeconomic effects of monetary policy shocks during the great moderation: An alternative interpretation

Cholesky-VAR impulse responses estimated with post-1984 U.S. data predict modest macroeconomic reactions to monetary policy shocks. We interpret this evidence by employing an estimated medium-scale DSGE model of the business cycle as a Data-Generating Process in a Monte Carlo exercise in which a Cholesky-VAR econometrician is asked to estimate the effects of an unexpected, temporary increase in the policy rate. Our structural DSGE model predicts conventional macroeconomic reactions to a policy shock. In contrast, our Monte Carlo VAR results replicate our evidence obtained with actual U.S. data. Hence, modest macroeconomic effects may very well be an artifact of Cholesky-VARs. A combination of supply and demand shocks may be behind the inability of Cholesky-VARs to replicate the actual macroeconomic responses. The difference in the VAR responses obtained with Great Inflation vs. Great Moderation data may be due to instabilities in the parameters related to households’ and firms’ programs, more than to a more aggressive systematic monetary policy. A Monte Carlo assessment of sign restrictions as an alternative identification strategy is also proposed.     

Monetary transmission in Spain: a structural cointegrated VAR approach

This paper analyses the monetary policy channels in Spain using a cointegrated structural VAR approach which explicitly accounts for endogenous policy reactions in a small open economy. Evidence is found of one cointegrating relation which is identified as a long-run money demand function. In addition, stability tests are applied to this relationship to assess whether there has been a change of monetary regime. The impulse-responses for the non-monetary shocks as well as the absence of the puzzles traditionally found in the empirical literature, suggest that the model specification identifies the monetary policy shocks correctly. Thus, according to our results, a monetary contraction causes a weak downward response in the price level, as well as an increase in both short and long-run nominal interest rates, a decrease in aggregate output and an exchange rate appreciation.     

The effects of monetary policy using structural factor analysis

The traditional Vector Autoregression (VAR) method is widely used to trace out the effects of monetary policy innovations on the economy. However, this method suffers from the curse of dimensionality, so that in practice VARs are estimated on a limited number of variables, leading to a potential missing information problem. In this article we use the method of structural factor analysis to evaluate the effects of monetary policy on key macroeconomic variables in a data rich environment. This methodology allows us to extract information on monetary policy and its impact on the economy from a much larger data set than is possible with the traditional VAR method. We propose two structural factor models. One is the Structural Factor Augmented Vector Autoregressive (SFAVAR) model and the other is the Structural Factor Vector Autoregressive (SFVAR) model. Compared to the traditional VAR, both models incorporate information from hundreds of data series, series that can be and are monitored by the central bank in setting policy. Moreover, the factors used are structurally meaningful, a feature that adds to the understanding of the ‘black box’ of the monetary transmission mechanism. Both models generate qualitatively reasonable impulse response functions. For the SFVAR model, both the price puzzle and the liquidity puzzle are eliminated.     

Monetary policy and dividend growth in Germany: long-run structural modelling versus bounds testing approach

This study examines the long-run relationship between monetary policy and dividend growth in Germany. For this purpose, cointegration is tested for between both variables in the period 1974 to 2003. However, problems related to spurious regression arise from the mixed order of integration of the series used, from mutual causation between the variables and from the lack of a long-run relationship among the variables of the model. These problems are addressed by applying the bounds testing approach to cointegration in addition to a more standard long-run structural modelling approach. In principle, both procedures are capable of dealing with the controversial issue of the exogeneity of monetary policy vis-à-vis dividend growth. However, the structural modelling approach still leaves a certain degree of uncertainty about the integration properties of the interest rate and the dividend growth. Hence, one feels legitimized to refer to the bounds testing procedure and to conclude that in the longer term short-term rates drive stock returns but not vice versa.     

Monetary policy through the ‘credit-cost channel’: Italy and Germany pre- and post-EMU

We present an empirical analysis of the ‘Credit-Cost Channel’ (CCC) of monetary policy transmission. This channel combines bank credit supply and interest rates on loans as a cost to firms. The thrust of the CCC is that it makes both aggregate demand and aggregate supply dependent on monetary policy. As a consequence (1) credit market conditions (e.g. risk spreads) are important sources and indicators of macroeconomic shocks, (2) the real effects of monetary policy are larger and persistent. We have applied the Cointegrated Vector Autoregression (CVAR) econometric methodology to Italy and Germany in the ‘hard’ EMS period and in the European Monetary Union (EMU) period. The short-run and long-run effects of the CCC are detectable for both countries in both periods. Simulation of the estimated model also confirms that inflation-targeting by way of inter-bank rate control stabilizes inflation through structural shifts of the stochastic equilibrium paths of both inflation and the output.     

The effectiveness of monetary policy and output fluctuations: An asymmetric analysis

Previous studies have investigated asymmetries in the effects of monetary policy on the real economic activity by using either vector autoregressive (VAR)-based regime-switching models with smooth transition technique or Gaussian functions to parameterise the dynamic effects of structural shocks on the economy. These kinds of VAR models assume asymmetry as a short-run relationship between the series since the long-run neutrality hypothesis of money states that monetary policy can only affect productive capacity of the economy in the short run, but not in the long run. The recent theoretical literature shows that this hypothesis is not quite right. Thus, this paper examines the extent to which monetary policy has a long-run asymmetric effect on output in a number of Organisation for Economic Co-operation and Development countries by using a nonlinear hidden cointegration analysis within a likelihood-based panel framework. The findings indicate that there is a long-run relationship between the real interest rate as an indicator of monetary policy and the growth rate of real output in five countries out of nine under review. This gives support for the view that output has responded asymmetrically to the real interest rate changes. The economic implication of our results is that monetary policy affects positive and negative output fluctuations differently.     

Canadian regional labour market evolutions: a long-run restrictions SVAR analysis

Canada's high reliance on commodities can work against its constitutionally mandated goal of regional equity in economic development, while also inhibiting macroeconomic performance and limiting monetary policy effectiveness. Yet, flexible and integrated regional labour markets can help achieve both equity and macroeconomic goals. Therefore, this study examines the dynamics of Canadian provincial labour markets using a long-run restrictions structural vector autoregression (SVAR) model. Labour market fluctuations are decomposed into the parts arising from shocks to labour demand (new jobs), labour supply through migration (new people) and internal labour supply (original residents). The results suggest that demand innovations primarily underlie provincial labour market fluctuations. Despite significant geographic and language barriers that could impede their performance, there also is little overall evidence to suggest that provincial labour markets are more sluggish or less flexible than US state labour markets. Finally, original residents benefit slightly more from increased provincial labour demand compared to findings for US states.     

Testing Commitment Models of Monetary Policy in China

In the past decade Chinese inflation was not high on average, but it was quite volatile. Back in the 1980s and 1990s, high inflation was a very real problem. What explains the inflationary dynamics in China? In particular, does monetary policy account for the substantial run-ups of inflation, followed by the equally substantial dis-inflation? In the absence of commitment technologies, the monetary authorities may create surprise inflation to achieve higher growth, while private agents would anticipate that and adjust their decisions accordingly, leading to accelerated inflation without a real impact. Do these types of simple time-inconsistency models of monetary policy explain the dynamic pattern of inflation in China? I show that the long-run and short-run restrictions imposed by discretionary policy, when the time-inconsistent policymaker has a desire to push output above potential, are largely rejected by the data. The estimates of the inflation bias under discretion when the policymaker is asymmetrically averse to recessions are not statistically significant either. The analysis contributes to the understanding of Chinese monetary policy and its inflationary implications and also points to the need of further investigation of inflationary behavior during the economic transition.     

The government budget constraint with endogenous money

This paper examines the effectiveness and stability of fiscal policy in a model with a budget constraint and an endogenous money stock. This model avoids the need to treat only two polar cases, pure bond and pure money financing-neither of which is appropriate given the structure of the monetary system and the way monetary policy has been conducted historically. Furthermore, the model allows one to differentiate the effects of a money-financed deficit for the different tools of monetary control. We find that neither the long-run effectiveness nor stability of a mixed bond/money financed deficit is invariant to the monetary policy tool used.     

Causes of Inflation in Europe, the United States and Japan: Some Lessons for Maintaining Price Stability in the EMU from a Structural VAR Approach

Price stability being among the primary goals of EMU monetary policy,it should be interesting to analyse thefactors that led to the disinflationarydevelopments of the last years. Using a structural VAR approach withlong-run identifying restrictions derived from an open-economy macromodel, various factors of inflation for Austria, Germany, Italy, the UnitedKingdom, the United States and Japan and the extent to which they havecontributed to inflation are analysed. These factors are energy price shocks, supply shocks, wage setting influences, demand and exchange rate disturbances and money supply surprises. The latter three are also used to calculate core inflation. Within a smaller model for aggregate EMU data, supply and demand influences are analysed. While supply and demand factors have generally contributed to the inflation decline, monetary policy, enhanced competition, low energy prices and moderate wage setting are featuring most prominent in the recent disinflation process.     

MULTIVARIATE COINTEGRATION APPROACH TO THE DETERMINATION OF RESERVES AND BANK CREDIT: A CASE STUDY OF TURKEY*

The paper estimates both long-run reserves and long-run money demand equations using the multivariate cointegration approach. An economic model is constructed, based on the monetary approach to balance of payments in which the monetary authorities can control money supply through changes in bank credit. The vector auto-regressive methodology is used to derive latent equilibrium relationships, and the short-run error correction equations are estimated for both nominal money stock and reserves. A response function for the short-run changes in bank credit is developed. Given the institutional system and slow adjustments, a response function of changes in bank credit to lagged changes in reserves performs well for the period 1960–88.     

Economic policies and demand for money: evidence from Canada

This study identifies Canadian fiscal and monetary policy regime changes that could influence the services of money. It is argued that if these policy regime changes were not incorporated in the estimation of demand for real balances, the resulting estimate would be biased and unstable. Using Canadian monthly data for the January 1975 to June 2001 period, the paper estimates a standard demand-for-money (M1) function with and without these policy regime changes. It was found the demand for money in Canada is stable over the short- and long-run periods when these policy regime changes are incorporated and the estimated coefficients have correct signs.     

Using Romer and Romer's new measure of monetary policy shocks to identify the AD and AS shocks

This article re-examines the series of (exogenous) Federal Funds Rate (FFR) shocks created by Romer and Romer (2004) for the period 1969:01–1996:12. We hypothesize that if Romer and Romer have constructed a reasonable set of monetary policy shocks, then including them in a small Vector Autoregression (VAR) should help to identify other structural shocks that affected the United States economy during their sample period. Using a sample period of 1971:01–1996:12 we are easily able to identify both an Aggregate Demand (AD) shock and an Aggregate Supply (AS) shock without imposing any sign or long-run restrictions. We present historical decompositions that allow us to compare the relative importance of these shocks with that of the exogenous monetary policy shocks in explaining output fluctuations during the 1973–1975, 1980–1984 and 1990–1991 business cycle episodes.     

What is the right balance between US monetary and fiscal policy? Explorations using simulated wavelet-based optimal tracking control

This paper uses wavelet-based optimal control to simulate fiscal and monetary strategies under different levels of policy restrictions. The model applies the maximal overlap discrete wavelet transform to US quarterly GDP data and then uses the decomposed variables to build a large 80-dimensional state-space linear-quadratic tracking model. Using a political targeting design for the frequency range weights, we simulate jointly optimal fiscal and monetary policy where: (1) both fiscal and monetary policy are dually emphasized, (2) fiscal policy is unrestricted while monetary policy is restricted to achieving a steady increase in the market interest rate, (3) only monetary policy is relatively active, while fiscal spending is restricted to achieving a target growth rate, and (4) monetary policy emphasizes short-run stabilization, while fiscal policy utilizes political cycle targeting. The results show that fiscal policy must be more aggressive when the monetary authorities are not accommodating the fiscal expansion and that the dual-emphasis policy leads to a series of interest rate increases that are balanced between a steadily increasing target and a low, fixed rate. This research is the first to construct integrated fiscal and monetary policies in an applied wavelet-based optimal control setting using US data.     

Macro-econometric modelling for the Nigerian economy: A growth–poverty gap analysis

This study develops comprehensive full-sector macro-econometric models for the Nigerian economy with the aim of explaining and providing a long-term solution for the persistent growth–poverty divergence experienced by the country. The models are applied to test the hypothesis of existing structural supply-side constraints versus demand-side constraints impeding the economic growth and development of the country. A review of the historical performance of the Nigerian economy reveals significant socio–economic constraints as the predominant impediments to high and sticky levels of poverty in the economy. Thus, a model which is suitable for policy analyses of the Nigerian economy needs to capture the long-run supply-side characteristics of the economy. A price block is incorporated to specify the price adjustment between the production or supply-side sector and real aggregate demand sector. The institutional characteristics with associated policy behaviour are incorporated through a public and monetary sector, whereas the interaction with the rest of the world is represented by a foreign sector, with specific attention being given to the oil sector. The models are estimated with time-series data from 1970 to 2006 using the Engle–Granger two-step co-integration technique, capturing both the long-run and short-run dynamic properties of the economy. The full-sector models are subjected to a series of policy scenarios to evaluate various options for government to improve the productive capacity of the economy, thereby achieving sustained accelerated growth and a reduction in poverty in the Nigerian economy.     

Financial distress and fiscal inflation

Is inflation ‘always and everywhere a monetary phenomenon’ or is it fundamentally a fiscal phenomenon? The answer hinges crucially on the underlying monetary–fiscal policy regime. Scant attention has been directed to the role of credit market frictions in discerning the policy regime, despite its growing importance in empirical macroeconomics. We augment a standard monetary model to incorporate fiscal details and credit market imperfections. These ingredients allow for both interpretations of the inflation process in a financially constrained environment. We find that introducing financial frictions to the model and adding financial variables to the dataset generate important identifying restrictions on the observed pattern between inflation and measures of financial and fiscal stress, to the extent that it overturns existing findings about which monetary–fiscal policy regime produced the U.S. data. To confront policy regime uncertainty, we propose the use of dynamic prediction pools and find strong cyclical patterns in the estimated historical regime weights.     

Macroeconomic dynamics in Macedonia and Slovakia: Structural estimation and comparison

This paper estimates a structural macroeconomic model using data for Macedonia and Slovakia to characterize possible challenges Macedonia can face concerning macroeconomic stabilization during its transition process. A comparison of the estimated model parameters suggests that, in Slovakia, the output gap is less sensitive to real interest rate movements and prices experience greater inertia. The estimated monetary policy reaction functions show Macedonia and Slovakia as inflation targeters, with Macedonia as the more conservative one, despite its officially applied exchange rate targeting regime. The differences in the estimated parameters imply differing transmission mechanisms for Macedonia and Slovakia. Consequently, the variance of domestic variables in Slovakia is most influenced by monetary policy shocks, while there is no single dominating shock explaining the volatility of Macedonia's macroeconomic variables. The exchange rate shock, the monetary policy shock and the demand shock are jointly important in determining the volatility of Macedonia's variables. The model simulations indicate that Macedonia experiences lower output gap and inflation volatility than Slovakia. This comes, nevertheless, at the cost of higher interest rate and real exchange rate volatility in Macedonia, which could be an indication of more volatile financial markets with possible negative implications for financial stability.