Monetary Policy Evaluation in Real Time: Forward-Looking Taylor Rules Without Forward-Looking Data

There is widespread agreement that monetary policy should be evaluated by using forward-looking Taylor rules estimated with real-time data. For the case of the U.S., this analysis can be performed using Greenbook data, but only through 2002. In countries outside the U.S., central banks do not regularly release their forecasts to the public. I propose a methodology for conducting monetary policy evaluation in real-time when forward-looking real-time data is unavailable. I then implement this methodology and estimate the resultant Taylor rules for the U.S., Canada, the U.K., and Germany. The methodology consists of calibrating models to closely replicate Greenbook forecasts, and then applying them to international real-time datasets. The results show that the U.S. output gap series is well described by quadratic detrending, while Greenbook inflation forecasts can be closely replicated using Bayesian model averaging over Autoregressive Distributed Lag models in inflation and the GDP growth rate. German and U.S. Taylor rules are characterized by inflation coefficients increasing with the forecast horizon and a positive output gap response. The U.K. and Canada interest rate reaction functions achieve maximum inflation response at middle-term horizons of about 1/2 year and the output gap coefficient enters the reaction functions insignificantly. Estimating the U.K. and Canadian Taylor rules as forward-looking is crucial, as backward-looking specifications produce nonsensical estimates. This is not the case for the U.S. and Germany.real-time data, Taylor rule, monetary rules, inflation forecasts, output gap

Measuring the Taylor rule's performance

Using a recently developed econometric technique to determine how the original Taylor rule and subsequent variations perform using different measures of inflation, output and unemployment. We found that the rule remains relevant today, despite the changes wrought by globalization, financial market innovations and technological advances.

Monetary Policy Shifts and the Forward Discount Puzzle

This paper argues that considerable switches in monetary policy are able to explain a major part of the forward discount puzzle. We build a theoretical model suggesting that violations of the uncovered interest rate parity are owed to shifts in monetary policy from a destabilizing (when the Taylor principle is violated) to a stabilizing regime (when a central bank follows a Taylor-type rule). Following the switch is an \adjustment period" during which forecasters gradually update their expectations, eventually restoring the parity. It is in this adjustment period, when the forward discount puzzle arises. In the second part of the paper we test the model on the Canadian dollar, German mark, and British pound, all against the US dollar. Results indicate that the forward discount puzzle loses signi cance after allowing for an adjustment period of about 1 { 2 years. Our results are robust to various di erent speci cations, such as the use of di erent maturities or base currencies. Further, it seems unlikely that our results coincide with contemporaneous events

Forecasting the end of the global recession: did we miss the early signs?

This paper looks at the term-structure literature to identify early signs predicting recessionary patterns in the U.S. and other developed economies. Based on the National Bureau of Economic Research (NBER) and Economic Cycle Research Institute (ECRI) recession dates, we define the probability of recession as a function of the traditional yield spread, plus a forward-looking measure of growth expectations, namely the output gap growth spread. For other countries, we extend the model and make it additionally dependent on the probability of recession in the U.S. Our results indicate that most of the a-posteriori official recession dates could have been forecast as early as April 2009, when the first green shoots of recovery appeared in the U.S. data. Overall, the term-structure versions we apply allow us to signal recessions earlier and more accurately than traditional term-structure models and most professional forecasters.Forecasting ; Macroeconomics - Econometric models ; International finance

Globalization and the changing nature of the U.S. economy's influence in the world

Global economic integration may have made other countries more dependent on each other and weakened their initial responses to U.S. economic fluctuations.Globalization ; Economic conditions - United States ; International trade ; Financial crises

Inflation Persistence and the Taylor Principle

Although the persistence of inflation is a central concern of macroeconomics, there is no consensus regarding whether or not inflation is stationary or has a unit root. We show that, in the context of a “textbook” macroeconomic model, inflation is stationary if and only if the Taylor rule obeys the Taylor principle, so that the real interest rate is increased when inflation rises above the target inflation rate. We estimate Markov switching models for both inflation and real-time forward looking Taylor rules. Inflation appears to have a unit root for most of the 1967 – 1981 period, and is stationary before 1967 and after 1981. We find that the Fed’s response to inflation is also regime dependent, with both the pre and post-Volcker samples containing monetary regimes where the Fed both did and did not follow the Taylor principle. This contrasts to recent research that suggests the Fed’s response to inflation has been time invariant, and that changes in monetary policy only occurred with respect to the output gap.Taylor rule, real-time data, Great inflation, policy regimes, Markov switching

Monetary Policy Evaluation in Real Time: Forward-Looking Taylor Rules Without Forward-Looking Data

There is widespread agreement that monetary policy should be evaluated by using forward-looking Taylor rules estimated with real-time data. For the case of the U.S., this analysis can be performed using Greenbook data, but only through 2002. In countries outside the U.S., central banks do not regularly release their forecasts to the public. I propose a methodology for conducting monetary policy evaluation in real-time when forward-looking real-time data is unavailable. I then implement this methodology and estimate the resultant Taylor rules for the U.S., Canada, the U.K., and Germany. The methodology consists of calibrating models to closely replicate Greenbook forecasts, and then applying them to international real-time datasets. The results show that the U.S. output gap series is well described by quadratic detrending, while Greenbook inflation forecasts can be closely replicated using Bayesian model averaging over Autoregressive Distributed Lag models in inflation and the GDP growth rate. German and U.S. Taylor rules are characterized by inflation coefficients increasing with the forecast horizon and a positive output gap response. The U.K. and Canada interest rate reaction functions achieve maximum inflation response at middle-term horizons of about 1/2 year and the output gap coefficient enters the reaction functions insignificantly. Estimating the U.K. and Canadian Taylor rules as forward-looking is crucial, as backward-looking specifications produce nonsensical estimates. This is not the case for the U.S. and Germany

Monetary Policy Evaluation in Real Time: Forward-Looking Taylor Rules Without Forward-Looking Data

There is widespread agreement that monetary policy should be evaluated by using forward-looking Taylor rules estimated with real-time data. For the case of the U.S., this analysis can be performed using Greenbook data, but only through 2002. In countries outside the U.S., central banks do not regularly release their forecasts to the public. I propose a methodology for conducting monetary policy evaluation in real-time when forward-looking real-time data is unavailable. I then implement this methodology and estimate the resultant Taylor rules for the U.S., Canada, the U.K., and Germany. The methodology consists of calibrating models to closely replicate Greenbook forecasts, and then applying them to international real-time datasets. The results show that the U.S. output gap series is well described by quadratic detrending, while Greenbook inflation forecasts can be closely replicated using Bayesian model averaging over Autoregressive Distributed Lag models in inflation and the GDP growth rate. German and U.S. Taylor rules are characterized by inflation coefficients increasing with the forecast horizon and a positive output gap response. The U.K. and Canada interest rate reaction functions achieve maximum inflation response at middle-term horizons of about 1/2 year and the output gap coefficient enters the reaction functions insignificantly. Estimating the U.K. and Canadian Taylor rules as forward-looking is crucial, as backward-looking specifications produce nonsensical estimates. This is not the case for the U.S. and Germany

AIDing Contraception: HIV and Recent Trends in Abortion Rates

Since the onset of HIV/AIDS awareness in the early 1980s, much attention has centered around the substantial negative effects of the disease throughout the world. This paper provides evidence of a secondary effect the disease has had on sexual behavior in the United States. Using a difference-in-differences estimation framework and state level data, we show that the perceived threat of HIV resulted in a drop in unwanted pregnancies, as demonstrated by a lower incidence of abortions. Our results suggest that each additional reported case of HIV per 1,000 individuals resulted in 85.5 fewer abortions per 1,000 live births.HIV, abortion, fertility