data issues & revisions norm williamsdecember 12, 2003
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The Art of Forecasting: Economic Outlook for 2004. FDIC Division of Insurance and Research. Data Issues & Revisions Norm WilliamsDecember 12, 2003. U.S. Economic Data Revisions, What Are the Issues?. - PowerPoint PPT PresentationTRANSCRIPT
Data Issues & Revisions
Norm Williams December 12, 2003
FDIC Division of Insurance and Research
The Art of Forecasting:Economic Outlook for 2004
U.S. Economic Data Revisions, What Are the Issues?
• Businesses and policy makers rely on economic information and forecasts in making decisions to hire, invest, and provide or remove stimulus
• Trade-offs in collecting and providing data:Timeliness versus AccuracyCost versus Benefit
• Uncertainty in overall assessment of economy’s performance may lead businesses and policy makers to “pull their punches”
• 2001 Example:Not so much a case of Good Economy Goes Bad,but rather “Bad” Data Go Good
U.S. Economic Data Revisions, What Are the Issues?
• Challenge to forecasters: models specified to fit revised data may not work so well in real-time
For much of 2001, many thought we would skirt a recession.
“…and I do not think the United States economy is in a recession but I think it is in a growth slowdown.”
The economy is “probably at or near the bottom, and probably won’t tip into recession.”
“The economy is not going into a major recession”
Some press quotes during June & July:(names have been withheld to protect the innocent)
Source: Bloomberg
9/11 “will significantly harm the economy in the third quarter and the fourth quarter and increase significantly the likelihood that the economy is in recession.”
Conference board survey: 52% of those polled said that the U.S. economy would move into recession, up from 47% in September.
Then in October many thought that 9/11 had tipped us over into a recession.
Some press quotes during late October:(names have been withheld to protect the innocent)
Source: Bloomberg
…but, in late November, we were officially told the recession began in March.
Forecasting is made more difficult when the current status of the economy is unclear.
-3
-2
-1
0
1
2
3
1Q2001 2Q2001 3Q2001 4Q2001
Forecast and Actual Real GDP Growth,Change from prior quarter at annual rate, percentage points
Source: BEA, Blue Chip
Blue Chip mid-quarter forecast
BEA pre-2002 revision
BEA 2002 revisionBEA 2003 comp. revision
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
trough - 2 quarters trough +2 quarters peak - 2 quarters peak + 2 quarters
Average Revisions Around Economic Turning Points, 1969 to 1991Percentage point revisions to annualized growth rates in real GNP/GDP
Source: "Do Provisional Estimates of Output Miss Economic Turning Points?" Dynan & Elmendorf (FRB, November 2001)
Initial GDP reports have under-estimated growth near the bottom of recessions, while showing smaller misses near the peaks.
1968-2000 average
So How Can We Address These Issues?
• Knowledgeable users: some evidence that private sector forecasters treat revisions as random, even though they may be somewhat predictable
• Trends in real-time information, like yield spreads and stock prices, do provide (slight) insight into direction of ultimate GDP revisions
• Fed relies significantly on supplemental anecdotes to inform its policy decisions (Beige Book, etc.)
• BEA and BLS already taking major steps to improve quality:
(1) BEA adoption of chain weights in 1996 comprehensive revision
(2) BEA published 12th comprehensive GDP revision this week
(3) BLS major update to employment (nonfarm payroll) methodology in 2003
• NBER now using MA’s monthly GDP estimates
• Would more funding for better statistics pay off?
So How Can We Address These Issues?
By one estimate, paying for the 3 major US statistical agencies already provides a significant economic return, with plenty of room to fund data quality improvements.
0
10
20
30
40
50
cost of TFP datauncertainty
value of eliminatingpredictable trends in
TFP revisions
value of TFP datareports
Census + BLS +BEA FY2004 Budget
U.S. Total Factor Productivity Cost Benefit AnalysisBillions of dollars (based on annual services + nondurable goods consumption of $7 trillion)
Source: "Data Revisions in General Equilibrium" S. Boragan Aruoba (University of Pennsylvania, November 2003)
$43.2B
$12.1B$9.0B
$1.3B