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The Use and Abuse of Real-Time and Anecdotal Information in Monetary Policymaking. Evan F. Koenig Senior Economist and Vice President Federal Reserve Bank of Dallas Dallas, Texas USA. Main points Data revisions complicate policy Usually, revisions are not given proper treatment
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The Use and Abuse of Real-Time andAnecdotal Information in Monetary Policymaking Evan F. Koenig Senior Economist and Vice President Federal Reserve Bank of Dallas Dallas, Texas USA
Main points • Data revisions complicate policy • Usually, revisions are not given proper treatment • Anecdotal/qualitative information potentially valuable
Example of the revisions problem: U.S. monetary policy in the 1990s
Professional forecasters over-predicted inflationduring most of the 1990s
A candidate explanation: profitability • profitability = (labor productivity)/(real wage) = price/(labor cost per unit output) • high profitability ⇒ • expand output and employment • raise wages or cut prices • 1970s: productivity deceleration + sluggish real wage ⇒ low profitability • 1990s: productivity acceleration + sluggish real wage ⇒ high profitability
Profitability movements explain muchof the NAIRU’s variation
Profitability apparently a powerful long-leadingunemployment indicator
Apples and oranges • Data relevant for policy are 1st release or lightly revised (oranges) • Forecasting models usually estimated using heavily revised data (apples)
Correct procedure: estimate using “real- time-vintage” data • “Real-time vintage” = at each point in sample, the 1st release and lightly revised data then available • Requires short data series of many vintages
Alternatives to conventional statistics: anecdotal & qualitative data “Who are you going to believe? Me or your lying eyes?” –Groucho Marx
The Federal Reserve collects anecdotal information: • Through Directors of 12 regional Reserve Banks and their 25 Branches • Through calls to business contacts prior to each FOMC meeting • Each Reserve Bank prepares a call summary • Summaries are assembled and released as the “Beige Book”
How useful is the Beige Book? • Receives substantial press attention • Has predictive power for output and employment
“Sales growth weakened sharply for producers of high-tech equipment.” “Businesses have begun to curtail technology-related investment.” “Consumer demand for PCs has been weakening since the Fall of 2000.” –FRB-Dallas Beige Book report, January 2001
ISM Report on Business • Survey of 400 manufacturing firms, nationwide • Orders, output, jobs, etc.: expanding, contracting, or unchanged? • Numerical index = % expanding + 0.5 × (% unchanged) • PMI = weighted average of component numerical scores
Limitations of PMI/Beige Book • Sampling not scientific (small, unrepresentative) • Responses not properly weighted • Beige Book difficult to interpret
Advantages of PMI/Beige Book • Timely • Little if any revision • Respondents filter out short-term fluctuations
Summary and Conclusions • Don’t trust charts/forecasts that mix apples (heavily revised data) and oranges (lightly revised data) • Archive statistical releases! • Anecdotal/qualitative information potentially quite helpful