Economic study and thought has been around for centuries, and when it comes to studying the economy, growth and jobs are two primary factors that economists must consider. There is clearly a relationship between the two, and many economists have framed the discussion by trying to study the relationship between economic growth and unemployment levels. Economist Arthur Okun first started tackling the discussion in the 1960s, and his research on the subject has since become known as Okun's law. Below is a more detailed overview of Okun's Law, why it is important and how it stood the test of time since first being published.
Okun's Law - the Basics
In its most basic form, Okun's law investigates the statistical relationship between a country's unemployment rate and the growth rate of its economy. The economics research arm of the Federal Reserve Bank of St. Louis explains that Okun's law "is intended to tell us how much of a country's gross domestic product (GDP) may be lost when the unemployment rate is above its natural rate." It goes on to explain that "the logic behind Okun's law is simple. Output depends on the amount of labor used in the production process, so there is a positive relationship between output and employment. Total employment equals the labor force minus the unemployed, so there is a negative relationship between output and unemployment (conditional on the labor force)."
Yale professor and economist, Arthur Okun, was born in November 1928 and passed away in March 1980 at the relatively young age of 51. He first published his findings on the subject in the early 1960s, which have since come to be known as his "law." Okun's Law is, in essence, a rule of thumb to explain and analyze the relationship between jobs and growth. A talk from Federal Reserve Chairman, Ben Bernanke, perhaps most succinctly summarizes Okun's law basic concepts:
"That rule of thumb describes the observed relationship between changes in the unemployment rate and the growth rate of real gross domestic product (GDP). Okun noted that, because of ongoing increases in the size of the labor force and in the level of productivity, real GDP growth close to the rate of growth of its potential is normally required, just to hold the unemployment rate steady. To reduce the unemployment rate, therefore, the economy must grow at a pace above its potential.
More specifically, according to [the] currently accepted versions of Okun's law, to achieve a 1 percentage point decline in the unemployment rate in the course of a year, real GDP must grow approximately 2 percentage points faster than the rate of growth of potential GDP over that period. So, for illustration, if the potential rate of GDP growth is 2%, Okun's law says that GDP must grow at about a 4% rate for one year to achieve a 1 percentage point reduction in the rate of unemployment."
A More Detailed Look at Okun's Law
It is most important to note that Okun's law is a statistical relationship that relies on a regression of unemployment and economic growth. As such, running the regression can result in differing coefficients that are used to solve for the change in unemployment, based on how the economy grew. It all depends on the time periods used and inputs, which are historical GDP and employment data. Below is an example of an Okun's law regression:
The law has indeed "evolved," or changed over time to fit the current economic climate and employment trends at the time. One version of Okun's law has stated very simply that when unemployment falls by 1%, GNP rises by 3%. Another version of Okun's Law focuses on a relationship between unemployment and GDP, whereby a percentage increase in unemployment causes a 2% fall in GDP.
A Bloomberg article integrating data from the highly volatile Great Recession period noted that "the rule of thumb holds that for every percentage point that year-over-year growth exceeds the trend rate - which Federal Reserve policy makers peg at between 2.3 and 2.6% - unemployment drops by half a percentage point." Notice the varying uses of economic growth, such as GNP and GDP, as well as what qualifies as potential economic growth measures.
As with any law in economics, science or any discipline, it is important to determine if it holds under varying conditions and over time. In regard to Okun's law, there appear to be conditions where it holds quite well and others where it doesn't. For instance, a review of Okun's law by the Federal Reserve of Kansas City detailed that one of Okun's first relationships looked at quarterly changes in unemployment compared to quarterly growth in real output and it seemed to hold up well.
There are also different ways to track unemployment, and of course the primary testing ground for Okun's law has been the United States. Okun also analyzed the gap between potential economic output and the actual output rate in the economy. The Kansas City study detailed differing versions of Okun's law, starting with his original quarterly relationship, a "gap version" that looked at differences in actual and potential output, including if the law would hold under a condition of full employment or even high unemployment. It settled on a more dynamic version, leaving options for variables to be left out or added, depending on the levels of current and historical economic growth.
How Useful Is Okun's Law?
At this point it is important to make a determination on the overall usefulness of Okun's law. Despite the fact that there are in reality many moving parts to the relationship between unemployment and economic growth, there does appear to be empirical support for the law. The Kansas City Fed study concluded that "Okun's law is not a tight relationship," but that "Okun's law predicts that growth slowdowns typically coincide with rising unemployment." In regard to the fact it did not hold up that well during the financial crisis, Bernanke speculated that "the apparent failure of Okun's law could reflect, in part, statistical noise."
Other studies have been more supportive of Okun's law. An economics blog has concluded that "Okun's Law is doing fine" and it also does appear to have at least some forecasting ability. Returning to the Federal Reserve Bank of St. Louis, it has concluded that "Okun's law can be a useful guide for monetary policy, but only if the natural rate of unemployment is properly measured."
The Bottom Line
Overall, there is little debate that Okun's law represents one of the most straightforward and convenient methods to investigate the relationship between economic growth and employment. One of the key benefits of Okun's law is its simplicity, a benefit shared by portfolio management, and the ability to simply state that a 1% decrease in unemployment will occur when the economy grows about 2% faster than expected. Additionally, his law has been studied extensively since it was first published. Finally, there has been plenty of history over the past five decades, since Okun's first works were published, to put it to the test.
In reality though, it appears that relying on Okun's law to make specific predictions about unemployment, given economic growth trends, doesn't hold up that well. For instance, since it has been studied it has been known to shift over time and be impacted by more unusual economic climates, including jobless recoveries and the more recent financial crisis.
Because of the complexity of the inputs, different time periods that can be used and basic uncertainty that goes with running economic regressions, the law can become quite complex. It simply employs many different economic variables to try and analyze the relationship more precisely. Okun's law doesn't hold up as well under these more precise stipulations, but empirical evidence does still support its usefulness. Okun's law may not be entirely predictive, but it again helps frame the discussion of economic growth and how employment influences it and vice versa.