2. Go to the St. Louis Federal Reserve FRED database and find data on the personal
consumption expenditure price index (PCECTPI), a measure of the price level; real
compensation per hour (COM-PRNFB); the nonfarm business sector real output per hour
(OPHNFB), a measure of worker productivity; the price of a barrel of oil (MCOILWTICO);
and the University of Michigan survey of inflation expectations (MICH). Use the frequency
setting to convert the oil price and inflation expectations data series to “Quarterly,” and use
the units setting to convert the price index to “Percent Change from Year Ago.” Download
all of the data into a spreadsheet, and convert the compensation and productivity measures
to a single indicator. To do this, for each quarter, take the compensation number and
subtract the productivity number. Call this difference “Net Wages Above Productivity.”
a. Calculate the change in the inflation rate over the four most recent quarters of data
available, and the four quarters prior to that.
See summary table below.
b. Calculate the changes in net wages above productivity, the price of oil, and inflation
expectations over the four most recent quarters of data available, and the four quarters
prior to that.
See summary table below.
c. Are your results consistent with what you would expect? How do your answers to part (b)
help explain, if at all, your answer to part (a)? Explain using the short-run aggregate
supply curve.
The data from part (b) move in somewhat different directions, so it is difficult to explain
the inflation behavior consistent with what would be expected to explain part (a). In the
most recent period, inflation expectations remained flat; oil prices increased (which
Inflation
Chg.
Inflation
Exp. Chg.
Oil Price
Chg., $/Brl. Net Wages Chg.
2016:Q1 to 2017:Q1 1.1 0.0 18.6 1.599