The NIRCU and the Phillips curve: an approach based on micro data

Abstract In this paper we propose a straightforward method to derive a non‐inflationary rate of capacity utilization (NIRCU) based on micro data. We condition the current capacity utilization of firms on their current and planned price adjustments. The non‐inflationary capacity utilization rate is then defined as the rate where a firm feels no price adjustment pressure. One of the main advantages is that this methodology uses structural aspects and does not make it necessary to operate with – often rather arbitrary – statistical filters. We show that our aggregate NIRCU performs remarkably well as an indicator of inflationary pressure in a Phillips curve estimation.     

The information content of the neutral rate of interest

The concept of the neutral rate of interest has recently received much attention from economists. In this paper, we estimate the neutral rate of interest in Poland. We show how it can yield important information for a central banker. In particular, estimation of the neutral rate can be helpful for monetary authorities seeking to stabilize inflation after a long process of disinflation. We also suggest possible explanations for the relatively high level of the neutral rate in Poland.     

The use of consumer and business surveys in forecasting

Surveys improve forecasting performance by adding explanatory power to a model which is based on only past values of manufacturing growth. The issue addressed in this paper is whether surveys of production expectations, when added to equations that contain lagged values of a headline index pertaining to the real economy, improve forecasting performance. If so, it may be better for researchers to use not just the headline index, but production expectations or the Economic Sentiment Indicator if they wish to better predict manufacturing growth.     

The vanishing role of money in the macro-economy: An empirical investigation for India

The recent de-emphasizing of the role of “money” in both theoretical macroeconomics as well as in the practical conduct of monetary policy sits uneasily with the idea that inflation is a monetary phenomenon. Empirical evidence has, however, been accumulating pointing to an important leading indicator role for money and credit aggregates with respect to long term inflationary trends. Such a role could arise from monetary aggregates furnishing a nominal anchor for inflationary expectations, from their influence on the term structure of interest rates and from their affecting transaction costs in markets. Our paper attempts to assess the informational content role of money in the Indian economy by a separation of these effects across time scales and frequency bands, using the techniques of wavelet analysis and band spectral analysis respectively. Our results indicate variability of causal relations across frequency ranges and time scales, as also occasional causal reversals.     

How well does a small structural model with sticky prices and wages fit postwar U.S. data?

In this paper, we ask whether a small structural model with sticky prices and wages, embedding various modelling devices designed to increase the degree of strategic complementarity between price-setters, can fit postwar U.S. data. To answer this question, we resort to a two-step empirical evaluation of our model. In a first step, we estimate the model by minimizing the distance between theoretical autocovariances of key macroeconomic variables and their VAR-based empirical counterparts. In a second step, we resort to Watson's [Watson, M.W., 1993. Measures of fit for calibrated models. Journal of Political Economy 101, 1011–1041.] procedure [Measures of fit for calibrated models. Journal of Political Economy 101 (6), 1011.1041] to quantify the model's goodness-of-fit. Our main result is that the combination of sticky prices and sticky wages is central in order to obtain a good empirical fit. Our analysis also reveals that a model with only sticky wages does not perform well according to Watson's criterion [Watson, M.W., 1993. Measures of fit for calibrated models. Journal of Political Economy 101, 1011–1041.].     

The hump-shaped behavior of inflation and a dynamic externality

We propose a general equilibrium model that explains the empirical evidence of the hump-shaped response of inflation to a monetary policy shock. The model replaces backward-looking indexation à la Christiano et al. [2005. Nominal rigidities and the dynamic effect of a shock to monetary policy. Journal of Political Economy 113(1), 1-45] with a dynamic externality into the production function of firms. The model, armed with sticky wages and variable capital utilization, has two offsetting effects on real marginal cost over the business cycle. First, increasing factor prices raise real marginal cost in response to an expansionary monetary policy shock in the intermediate run. Second, a dynamic externality reduces real marginal cost in the short run because it raises productivity in response to an increase in output following the shock. Overall, the resulting short-run decrease and intermediate-run increase in marginal cost replicate the hump-shaped behavior of inflation under purely forward-looking price and wage Phillips curves.     

The contribution of domestic, regional and international factors to Latin America's business cycle

This paper quantifies the relative contribution of domestic, regional and international factors to the fluctuation of domestic output in six key Latin American (LA) countries: Argentina, Bolivia, Brazil, Chile, Mexico and Peru. Using quarterly data over the period 1980:1-2003:4, a multi-variate, multi-country time series model was estimated to study the economic interdependence among LA countries and, in addition, between each of them and the three world largest industrial economies: the US, the Euro Area and Japan. Falsifying a common suspicion, it is shown that the proportion of LA countries' domestic output variability explained by industrial countries' factors is modest. By contrast, domestic and regional factors account for the main share of output variability at all simulation horizons. The implications for the choice of the exchange rate regime are also discussed.     

The composition of government spending and the multiplier at the zero lower bound

We investigate the size of the multiplier at the ZLB in a New Keynesian model. It ranges from around −0.25 to +1.5, depending on the extent to which the government spending is productive, substitutable or not for private consumption.     

Inflation dynamics and the cost channel of monetary transmission

Evidence from vector autoregressions indicates that the impact of interest rate shocks on macroeconomic aggregates can substantially be affected by the so-called cost channel of monetary transmission. In this paper, we apply a structural approach to examine the relevance of the cost channel for inflation dynamics in G7 countries. Since firms’ costs of working capital increase with interest rates, we augment a (hybrid) New Keynesian Phillips curve by including the short-run nominal interest rate. We find significant and varying direct interest rate effects for the majority of countries, including member countries of the EMU. Simulations further demonstrate that the estimated interest rate coefficients can substantially affect inflation responses to monetary policy shocks, and can even lead to inverse inflation responses, when the cost channel is - relative to the demand channel - sufficiently strong.     

On the permanent effect of an aggregate demand shock: Evidence from the G-7 countries

This paper extends the work of Cover, Enders and Hueng (2006) to examine the idea that an aggregate demand shock may have permanent effect on the output level by indirectly shifting the aggregate supply curve. We utilize the bivariate SVAR modeling and adopt an identification scheme, which allows for the possibility that a shift in the aggregate demand curve may induce the long-run aggregate supply curve to shift. We have shown that aggregate supply shocks are positively affected by the demand shocks in each of the G-7 countries. It is found that a one-time positive aggregate demand shock increases the output level permanently in these industrialized economies. We have also shown that our decomposition strategy can help resolve anomalies in the responses of inflation to a positive aggregate supply shock observed in a simple Blanchard-Quah decomposition.     

Bayesian estimation of the output gap for a small open economy: The case of Canada

We introduce a novel approach for estimating output gaps for small open economies. Identification is based on a multivariate trend-cycle decomposition in which transitory exchange rate movements are linked to the output gap and inflation. The model is then applied to Canadian data.     

Financial cycle and business cycle: An empirical analysis based on the data from the U.S

In this paper, we first study the relationship between the financial cycle and the business cycle in the time and frequency domain. Then we also explore the interactions and dynamic mechanisms of the financial cycle, the business cycle, real interest rate and exchange rate by the VAR model. The empirical results show that the financial cycle is closely related to the business cycle, especially at medium-term frequencies (8–30 years), the business cycle leads the financial cycle with a high positive correlation. However, the relationship between them is not significant during the Great Moderation at business-cycle (2–4 years). In addition, the financial cycle not only becomes a main driver of real interest rate, the financial cycle and the business cycle, but also serves as an important source of the business cycle fluctuations. In general, our results lay some theoretical foundation for the policy practice of financial and economic stability.     

Wage setting actors and sticky wages: Implications for the business cycle and optimal monetary policy

Two sticky-wage models are introduced in this paper to examine the implications of having either households or firms as wage setting actors. The rate of wage inflation depends positively on the output gap if households set wages whereas such a relationship is of negative sign when firms set wages. Moreover, impulse–response functions and the statistical comparison with US data show different business cycle properties depending upon wage setting actors. Finally, optimal monetary policy is derived for each case, and compared with a Taylor-type monetary policy rule.     

Time and place where gold acts as an inflation hedge: An application of long-run and short-run threshold model

This study examines the short-run and long-run inflation hedging effectiveness of gold in the United States and Japan during the period of January 1971 to January 2010. Previous research has shown in the long-run that inflation tends to appropriately increase the price of gold in the U.S., leading to gold's popularity as an asset in portfolios to reduce the risk against sudden inflation. However, gold is only partially effective in hedging against inflation in Japan. This research found that the rigidity between the price of gold and the consumer price index affects the inflation hedging ability of gold in the long-run. The gold price is characterized by market disequilibrium induced by the price rigidity, causing the price of gold to be unable to response to changes in the CPI. To explore the inflation hedging ability of gold in the short-run, this study further examines the price rigidity in low and high momentum regime. It is found during the low momentum regimes that, gold return is unable to hedge against inflation in either the U.S. or Japan. However, during high momentum regimes, gold return is able to hedge against inflation in the U.S., while the price rigidity in Japan causes the price of gold to not fully hedge against inflation in the short-run.     

Tracking the US business cycle with a singular spectrum analysis

In this paper we resort to singular spectrum analysis to disentangle the US GDP into several underlying components of interest. The business cycle indicator yielded through this method is shown to bear a resemblance with band-pass filtered output, and our results suggest it possesses better revision performance than other commonly applied filters.     

Poole in the New Keynesian model

We study the properties of alternative central bank targeting procedures within the standard New Keynesian model. We find that Poole's famous insights concerning the output stabilization properties of money and interest rate targeting obtain when intertemporal substitution is low. And that output volatility rankings do not induce similar welfare rankings. Unlike the popular presumption, money targeting always fares better for money demand shocks. For fiscal shocks, money targeting does better for low and worse for high degree of intertemporal substitution. The opposite pattern obtains for supply shocks.     

Measuring Monetary Policy in Germany: A Structural Vector Error Correction Approach

Abstract. A structural vector error correction (SVEC) model is used to investigate several monetary policy issues. While being data-oriented the SVEC framework allows structural modeling of the short-run and long-run properties of the data. The statistical model is estimated with monthly German data for 1975–98 where a structural break is detected in 1984. After splitting the sample, three stable long-run relations are found in each subsample which can be interpreted in terms of a money-demand equation, a policy rule and a relation for real output, respectively. Since the cointegration restrictions imply a particular shape of the long-run covariance matrix this information can be used to distinguish between permanent and transitory innovations in the estimated system. Additional restrictions are introduced to identify a monetary policy shock.     

AN ANALYSIS OF MONETARY POLICY SHOCKS IN JAPAN: A FACTOR AUGMENTED VECTOR AUTOREGRESSIVE APPROACH*

This paper analyses monetary policy shocks in Japan using a factor augmented vector autoregressive approach. There are three main findings. First, the time lags with which the monetary policy shocks are transmitted vary between the various macroeconomic time series. These include several series that have not been included thus far in standard vector autoregressive analysis, including housing starts and employment indices. Second, a coherent picture of monetary policy effects on the economy is obtained. Third, it is found that monetary policy shocks have a stronger impact on real variables, such as employment and housing starts, than industrial production.     

The Effects of Monetary Policy Shocks in the USA: A Forecast‐Augmented VAR Approach

This paper formulates a forward‐looking monetary policy function for the USA in a structural vector autoregression (VAR) model, by using forecasts of key macroeconomic variables, in addition to the ex post realised variables used in a standard VAR. Since this forecast‐augmented VAR (FOAVAR) uses both forecasted and realised variables, and the standard VAR uses only realised variables, the standard VAR is nested in the FOAVAR. I find that the Fed responds to forecasted macroeconomic variables more significantly than realised variables. I also find that the monetary policy shock in the FOAVAR generates impulse responses of variables that are consistent with the predictions of economic theories, while the policy shock in the standard VAR causes a price puzzle: an increase in the price level due to a contractionary policy shock. These results suggest that a monetary policy function identified in a standard VAR, by using only realised macroeconomic variables, may incorrectly represent the Fed's policy function.     

Does seasonality change over the business cycle? An investigation using monthly industrial production series

This paper examines the proposition that the business cycle affects seasonality in industrial production, with output being switched to the traditionally low production summer months when recent (annual) growth has been strong. This is investigated through the use of a restricted threshold autoregressive model for the monthly growth rate in a total of 74 industries in 16 OECD countries. Approximately one-third of the series exhibit significant nonlinearity, with this nonlinearity predominantly associated with changes in the seasonal pattern. Estimates show that the summer slowdown in many European countries is substantially reduced in the regime of higher recent growth.