Submitted by A Dash of Insight
Explaining and displaying data combines art and science. The information itself is objective, as are calculations of trends and changes. Despite this, there is an element of artistry.
A professor leading a class is motivated to help students find the truth. One of our old professors described a certain statistical technique as grabbing the data around the neck, squeezing, and insisting, “Speak to me!”
If one starts with a conclusion, however, it is often possible to find support within almost any complicated economic report. The analyst can look at changes from one period to another, or year-over-year. One can look at seasonally adjusted or unadjusted data. One can reject the overall number and look to “internals”. In such a case, the key question is whether the chosen indicator provides important information.
A Case Study: Today’s GDP Report
With so many forecasting a recession, or insisting that the current period of slow growth will finally be judged as a recession, many are interested in the official report on GDP. The estimate for growth in Q1, 2008, was revised upward to an annualized real rate of 0.9%. While this is well below economic potential, it stayed in positive territory.
Since every economic report comes with plenty of commentary, let us consider the interpretation of the GDP data from three different sources — all respected analysts who are among our featured sources.
We have provided extensive quotations, much more so than usual, but there is a reason. Readers should take a few minutes to look carefully at each interpretation and see what conclusions they find.
Gary D. Smith
In his excellent “Bottom Line” summary Gary analyzes the Bloomberg report of the data and draws his own conclusions, including the following:
The
US economy grew more than previously estimated in the first quarter as Americans shunned imports and exports climbed to another record, Bloomberg reported. Jeffrey Frankel, an economist atwho is a member of the panel that dates US economic cycles, said in a Bloomberg Radio interview, “I wouldn’t rule out going into recession” later in the year. This statement implies that he doesn’t currently view the slowdown as a recession, in my opinion. Harvard Univ.
and also this:
The gain in growth last quarter would have been even greater if not for a decline in estimates for inventories. Companies cut inventories at a $14.4 billion annual rate versus an initial estimate of a $1.8 billion gain. Inventories added only .2 percentage point to growth, less than the previously estimated contribution of .8 percentage point.
and finally this:
A measure of total sales, which excludes inventories, was revised to a gain of .7% at an annual pace rather than a .2% drop that was previously estimated. I expect 2Q GDP to easily exceed economists’ estimates of a .1% gain and growth to accelerate modestly into year-end on fiscal/monetary stimuli, lower commodity prices, decelerating inflation, an end to the American Axle strike, a firmer US dollar, inventory rebuilding, an end to the credit market turmoil, strong exports, diminishing housing fears and an improving job market.
Barry Ritholtz
Those reading the Barry Ritholtz blog (and that includes nearly everyone) might get a strikingly different picture. Barry’s key bullet points were as follows:
-Weakest two quarter growth since 2001 recession;
-Private inventory investment added 0.81% to GDP growth;
-Final Sales of domestic product: (GDP growth - private inventories) 0.7% (-0.2% previously)
-Personal consumption expenditure unchanged at +1% (slowest since Q2 2001)
-Gross private domestic investment: -6.5% (previously -4.7%);
-Residential investment “improved” to -25.5% from -26.7% (most since 1981);
-Business fixed investment: -7.8% (improved from -9.7%);
-Exports weakened to +2.8% from +5.5%;
-Imports weakened to -2.6% from +2.5% ;
-Federal Government consumption expenditure and gross investment: +4.4% (+4.6% previously);
-State and Local Govt: 0.6% (+0.5% previously)
Barry also helpfully notes that if one subtracts trade and inventories, a key indicator according to Merrill Lynch’s David Rosenberg, the actual quarter-over-quarter figure was a decline of 0.1%, indicating a “fragile economy.”
Briefing.com
Briefing.com provides a timely and comprehensive analysis of every economic report. Here is their bullet-point summary:
- The revised rate of 0.9% for Q1 GDP was due to an upward revision to net exports (0.6% additional contribution from 0.2%), and nonresidential structures (0.2% higher to 0.0%), and to inventories (0.6% lower to a 0.2% contribution). All of these were about as expected as the March data on the trade balance, construction spending, and business inventories were out after the advance GDP report and all suggested changes of about this magnitude.
- The revision set GDP trends up for close to a 2% real gain in Q2. Inventories will add about 0.5% to GDP if there is simply no more liquidation, and net exports and real PCE enter Q2 above the first quarter average. Any modest improvement in these components in April-June will boost GDP solidly.
- Real PCE (personal consumption expenditures) rose at a 1.0% annual rate. This ultimate measure of consumer spending shows that lower home prices and higher gas prices have only dampened consumer spending, not produced declines. Real PCE is tracking for another gain the second quarter.
- Exports continue to rise sharply and provide a boost to GDP.
- Housing (residential construction) remains a disaster and will continue sharply lower in Q2. It is now down to just 3.8% of total GDP.
- Business investment in equipment and software has been surprisingly resilient and will continue near flat in Q2.
- Nonresidential construction has started to weaken and will be a drag on Q2 GDP.
- Inventories provided a modest boost to Q1 GDP (due to a slower rate of liquidation) after taking a slice out of Q4. Inventories will add further to GDP in Q2 as some accumulation might occur.
Their conclusion is as follows: The recession has been postponed. (Read the entire article for a more complete analysis).
Our Conclusion
For today, the conclusion is up to the reader. Three of our favorite sources seem to reach three different conclusions. What is wrong? Can we find an inaccurate statement? Which approach does the best job of illuminating reality — making the data really “speak?”
The key question is “How many readers can “cut through the spaghetti?” (as a key member of our team often puts it.)
Visit 1800blogger to see all of our industry leading blogs.






No user commented in " Comparing Data Interpretation "
Follow-up comment rss or Leave a TrackbackLeave A Reply