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Posts tagged with: "PAYEMS"

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Measure for measure: Judging the economy

How do you know if the economy is improving? FRED has plenty of commonly used data to help you. Typically, you’d measure real gross domestic product (GDP)—in particular, its growth rate. This rate is almost always positive. Because population growth is also almost always positive, this isn’t too surprising. So FRED lets you measure real GDP per capita—that is, GDP divided by the population.

But let’s complicate matters, because economies can go through demographic transitions. In fact, because many industrialized countries now face a substantially older population, dividing GDP by the overall population may not be precise either. So, FRED lets you divide GDP by the working age population, age 15 to 64. FRED even lets you refine the measurement by considering only the working age population in the labor force—that is, by excluding those who choose not to work or who cannot work. Finally, FRED lets you measure only those who are actually working by excluding the unemployed still looking for work. (By the way, dividing real GDP by the working population corresponds to labor productivity.)

The graph above shows these five different measures of U.S. economic growth since 1948. Each has its merits, but their growth rates look remarkably similar—so much so that it may not seem worthwhile to distinguish between them. One possible exception is the last series, since the working population fluctuates much more than any of the other population measures.

How this graph was created: All five lines use real GDP, so add real GDP to the graph five times. For line 1, change units to “Percent Change from Year Ago.” For line 2, add the monthly population series, apply formula a/b, and change the units again for this new, transformed line. Repeat this for the remaining lines by searching for and selecting the other population data to divide with. Finally, use the “Format” panel to remove the many axis titles.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: CLF16OV, GDPC1, LFWA64TTUSQ647S, PAYEMS, POP

Why is the unemployment rate not decreasing?

The U.S. economy has been adding jobs continuously for several years. In fact, payroll employment growth has been consistently higher than measures of population growth, including the civilian population shown in the graph above. This is definitely an encouraging sign for the health of the labor market. The unemployment rate has steadily decreased over this period, yet it has hardly moved in recent months: It was 5.1% in August 2015 and is 5.0% as of April 2016. With this larger inflow of employed people than people in general, the unemployment rate should decrease, right? That would be correct if the proportion of people in the labor force remained constant. But it has not remained constant, as is visible in the graph below. The labor force participation rate has been increasing significantly in recent months after a decades-long decline. A large number of people who previously declared they were not in the labor force (not working and also not looking for a job) are now in the labor force. Some of these people are unemployed, and these additions to unemployment rolls have been large enough to almost exactly erase the gains made in employment.

How these graphs were created: For the first graph, go to the most popular series (shown on the FRED homepage, under “At a Glance” tab) and click on the payroll employment link there. Then add the civilian noninstitutional population series to the graph. Finally, change the units of both series to “Percent Change from Year Ago.” For the second graph, search for and add “Civilian Labor Force Participation Rate” to the graph, then add the unemployment rate series. Finally, set the y-axis to the right for the latter.

Suggested by Christian Zimmermann

View on FRED, series used in this post: CIVPART, CNP16OV, PAYEMS, UNRATE

Government employment in context

The graph above shows the number of people employed in the U.S. government (excluding armed forces and intelligence agencies, but including the postal service). This number has increased almost continuously: The few exceptions are immediately after World War II, in the early 1980s, and since the previous recession. Note also that small spikes occur every ten years, owing to the temporary hiring for the census.

But does this picture tell a true story of an ever-expanding government? The graph spans almost 80 years, and over that period the U.S. population has continuously expanded. So a more-realistic picture would need to calculate the share of government employment in total employment. This is shown in the graph below. The picture looks quite different now: The current share of government employment is actually very low, and one has to go back to 1960 to find a lower number! The highest point is in 1975, not 2010 as in the first graph. Clearly, context matters.

How these graphs were created: Search for “government employees” and select “All Employees: Government” (series ID: USGOVT) for the first graph. For the second graph, add the series “All Employees: Total Nonfarm Payrolls” to series 1 through the “Modify existing series” option. Use the “Create your own data transformation” option to apply the formula a/b*100 to express the result in percentages.

Suggested by Christian Zimmermann

View on FRED, series used in this post: PAYEMS, USGOVT


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