Search Results
Journal Article
Future recession risks: an update
In 2010, statistical experiments based on components of the Conference Board?s Leading Economic Index showed a significant possibility of a U.S. recession over a 24-month period. Since then, the European sovereign debt crisis has aggravated international threats to the U.S. economy. Moreover, the Japanese earthquake and tsunami demonstrated that the U.S. economy is vulnerable to outside disruptions. Updated forecasts suggest that the probability of a U.S. recession has remained elevated and may have increased over the past year, in part because of foreign financial and economic crises.
Journal Article
Future recession risks
An unstable economic environment has rekindled talk of a double-dip recession. The Conference Board's Leading Economic Index provides data for predicting the probability of a recession but is limited by the weight assigned to its indicators and the varying efficacy of those indicators over different time horizons. Statistical experiments with LEI data can mitigate these limitations and suggest that a recessionary relapse is a significant possibility sometime in the next two years.
Working Paper
Accounting for Uncertainty and Risks in Monetary Policy
This paper discusses the measurement, assessment, and communication of risks and uncertainty that are relevant for monetary policy. It provides a taxonomy of policy-relevant uncertainty related to the state and the structure of the economy, and the formation of expectations. A wide range of tools is available to assess and quantify uncertainty and the balance of risks. Qualitative assessments of uncertainty—in policy statements, minutes, and speeches—are the main tools to communicate uncertainty and the balance of risks across major central banks. However, the use of quantitative tools ...
Working Paper
A chronology of turning points in economic activity: Spain 1850-2011
This paper codifies in a systematic and transparent way a historical chronology of business cycle turning points for Spain reaching back to 1850 at annual frequency, and 1939 at monthly frequency. Such an exercise would be incomplete without assessing the new chronology itself and against others ?this we do with modern statistical tools of signal detection theory. We also use these tools to determine which of several existing economic activity indexes provide a better signal on the underlying state of the economy. We conclude by evaluating candidate leading indicators and hence construct ...
Working Paper
Accounting for Uncertainty and Risks in Monetary Policy
This paper discusses the measurement, assessment, and communication of risks and uncertainty that are relevant for monetary policy. It provides a taxonomy of policy-relevant uncertainty related to the state and the structure of the economy, and the formation of expectations. A wide range of tools is available to assess and quantify uncertainty and the balance of risks. Qualitative assessments of uncertainty—in policy statements, minutes, and speeches—are the main tools to communicate uncertainty and the balance of risks across major central banks. However, the use of quantitative ...
Working Paper
Duration Dependence, Monetary Policy Asymmetries, and the Business Cycle
We produce business cycle chronologies for U.S. states and evaluate the factors that change the probability of moving from one phase to another. We find strong evidence for positive duration dependence in all business cycle phases but find that the effect is modest relative to other state- and national-level factors. Monetary policy shocks also have a strong influence on the transition probabilities in a highly asymmetric way. The effect of policy shocks depends on the current state of the cycle as well as the sign and size of the shock.
Working Paper
Understanding Survey Based Inflation Expectations
Survey based measures of inflation expectations are not informationally efficient yet carry important information about future inflation. This paper explores the economic significance of informational inefficiencies of survey expectations. A model selection algorithm is applied to the inflation expectations of households and professionals using a large panel of macroeconomic data. The expectations of professionals are best described by different indicators than the expectations of households. A forecast experiment finds that it is difficult to exploit informational inefficiencies to improve ...
Working Paper
Evaluating the Conditionality of Judgmental Forecasts
We propose a framework to evaluate the conditionality of forecasts. The crux of our framework is the observation that a forecast is conditional if revisions to the conditioning factor are faithfully incorporated into the remainder of the forecast. We consider whether the Greenbook, Blue Chip, and the Survey of Professional Forecasters exhibit systematic biases in the manner in which they incorporate interest rate projections into the forecasts of other macroeconomic variables. We do not find strong evidence of systematic biases in the three economic forecasts that we consider, as the interest ...
Working Paper
Time-varying Uncertainty of the Federal Reserve’s Output Gap Estimate
A factor stochastic volatility model estimates the common component to estimates of the output gap produced by the staff of the Federal Reserve, its time-varying volatility, and time-varying, horizon-specific forecast uncertainty. Output gap estimates are very uncertain, even well after the fact, especially at business cycle turning points. However, the common component of the output gap estimates is clearly procyclical, and innovations to the common factor produce persistent positive effects on economic activity. Output gaps estimated by the Congressional Budget Office have very similar ...
Working Paper
Time-varying Uncertainty of the Federal Reserve’s Output Gap Estimate
What is the output gap and when do we know it? A factor stochastic volatility model estimates the common component to forecasts of the output gap produced by the staff of the Federal Reserve, its time-varying volatility, and time-varying, horizon-specific forecast uncertainty. The common factor to these forecasts is highly procyclical, and unexpected increases to the common factor are associated with persistent responses in other macroeconomic variables. However, output gap estimates are very uncertain, even well after the fact. Output gap uncertainty increases around business cycle turning ...