The learning cost of interest rate reversals

Many central banks in many time periods have sought to avoid interest rate reversals, but at present there is no good explanation of this phenomenon. Our analysis identifies a new learning cost associated with reversing the interest rate. In a standard monetary model with forward-looking expectations, data uncertainty and parameter uncertainty, a policy that frequently reverses the interest rate makes learning the key parameters of the model more difficult. Optimal monetary policy internalises this learning cost and therefore has a lower number of interest rate reversals.     

The impact of monetary policy on asset prices

Estimating the response of asset prices to changes in monetary policy is complicated by the endogeneity of policy decisions and the fact that both interest rates and asset prices react to numerous other variables. This paper develops a new estimator that is based on the heteroskedasticity that exists in high-frequency data. We show that the response of asset prices to changes in monetary policy can be identified based on the increase in the variance of policy shocks that occurs on days of FOMC meetings and of the Chairman's semi-annual monetary policy testimony to Congress. The identification approach employed requires a much weaker set of assumptions than needed under the “event-study” approach that is typically used in this context. The results indicate that an increase in short-term interest rates results in a decline in stock prices and in an upward shift in the yield curve that becomes smaller at longer maturities. The findings also suggest that the event-study estimates contain biases that make the estimated effects on stock prices appear too small and those on Treasury yields too large.     

Learning and the central bank

It is well known that sunspot equilibria may arise under an interest rate operating procedure in which the central bank varies the nominal rate with movements in future inflation (a forward-looking Taylor rule). This paper demonstrates that these sunspot equilibria may be learnable in the sense of E-stability.     

Indeterminacy, aggregate demand, and the real business cycle

We show that under indeterminacy aggregate demand shocks are able to explain not only aspects of actual fluctuations that standard RBC models predict fairly well, but also aspects of actual fluctuations that standard RBC models cannot explain, such as the hump-shaped, trend reverting impulse responses to transitory shocks found in US output (Cogley and Nason, Am. Econom. Rev. 85 (1995) 492); the large forecastable movements and comovements of output, consumption and hours (Rotemberg and Woodford, Am. Econom. Rev. 86 (1996) 71); and the fact that consumption appears to lead output and investment over the business cycle. Indeterminacy arises in our model due to capacity utilization and mild increasing returns to scale.     

Entrepreneurial activity, risk, and the business cycle

This paper analyzes a model in which the risk associated with entrepreneurial activity implies that the amount of such activity is procyclical and results in amplification and intertemporal propagation of productivity shocks. In the model risk averse agents choose between a riskless project and a risky project with higher expected output (‘the entrepreneurial activity’). Agents who become entrepreneurs need to bear part of the project-specific risk for incentive reasons. More agents become entrepreneurs when productivity is high, because agents are more willing to bear risk and need to bear less risk for incentive reasons. Furthermore, cross-sectional heterogeneity can be countercyclical.     

The impact of monetary policy on the exchange rate: evidence from three small open economies

This paper studies the impact effect of monetary policy shocks on the exchange rate in Australia, Canada, and New Zealand during the 1990s. Shocks are identified by the reaction of three month market interest rates to policy announcements that were not themselves endogenous to economic news on the same day. The main result is that a 100 basis point contractionary shock will appreciate the exchange rate by 2-3 percent on impact. The association of interest rate hikes with depreciations that is sometimes observed during periods of exchange market pressure is mainly attributable to reverse causality.     

Dynamic risksharing in the United States and Europe

We use a panel VAR model to improve upon the existing methodologies to analyze interregional risksharing and consumption smoothing channels. First, we endogenize the output process within a more general multi-equation framework, capturing the dynamic feedback between output and various smoothing channels. Second, in line with dynamic general equilibrium open economy models of risksharing, we exploit impulse response functions to trace the role of each smoothing channel over time, in the presence of different structural shocks (temporary vs. permanent and output vs. smoothing channels). In the application to the US and OECD countries, we find different dynamic properties of different smoothing channels. We compare our results with the predictions of standard risksharing and consumption theories, and tackle some of the puzzles in the literature, such as the “international risksharing puzzle” and the “consumption-output correlation puzzle.” We are also able to address such policy issues as whether fiscal stabilizers have been substitutes or complements for financial market diversification activities and whether further financial market integration is likely to provide countries with more shock-absorption tools. A key result is the strong substitutability between capital and credit smoothing in the US, and between fiscal and credit smoothing in the OECD.     

The macroeconomic consequences of terrorism

We perform an empirical investigation of the macroeconomic consequences of international terrorism and interactions with alternative forms of collective violence. Our analysis is based on a rich unbalanced panel data set with annual observations on 177 countries from 1968 to 2000, which brings together information from the Penn World Table data set, the ITERATE data set for terrorist events, and data sets of external and internal conflict. We explore these data with cross-sectional and panel growth regression analysis and a structural VAR model. We find that, on average, the incidence of terrorism may have an economically significant negative effect on growth, albeit one that is considerably smaller and less persistent than that associated with either external wars or internal conflict. As well, terrorism is associated with a redirection of economic activity away from investment spending and towards government spending. However, our investigation also suggests important differences both regarding the incidence and the economic consequences of terrorism among different sets of countries. In OECD economies, in particular, terrorist incidents are considerably more frequent than in other nations, but the negative influence of these incidents on growth is smaller.     

Payment system disruptions and the federal reserve following September 11, 2001

The monetary and payment system consequences of the September 11, 2001, terrorist attacks and the Federal Reserve's response are reviewed. Interbank payment disruptions appear to be a central feature of many US banking crises, and interbank payment disruptions seem likely to recur. Federal Reserve credit extension following September 11 succeeded in massively increasing the supply of banks’ balances to satisfy the disruption-induced increase in demand and thereby ameliorate the effects of the shock. Relatively benign banking conditions helped make Fed credit policy manageable. An interbank payment disruption that coincided with less-favorable banking conditions could be more difficult to manage, given current daylight credit policies. Paying interest on reserves would facilitate improvements in daylight credit policy.     

Estimating the Euler equation for output

New Keynesian macroeconomic models have generally emphasized that expectations of future output are a key factor in determining current output. The theoretical motivation for such forward-looking behavior relies on a straightforward generalization of the well-known Euler equation for consumption. In this paper, we use maximum likelihood and generalized method of moments (GMM) methods to explore the empirical importance of output expectations. We find little evidence that rational expectations of future output help determine current output, especially after taking into account the small-sample bias in GMM.