Estimating Okun's Law

This page is authored by Miles B. Cahill, College of the Holy Cross in Worcester, MA.

An earlier version of this exercise is found in "Estimating key macroeconomic relationships at the undergraduate level:
Taylor rule and Okun's Law examples," by Miles B. Cahill, presented at the 2006 ASSA meetings.
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This material is replicated on a number of sites as part of the SERC Pedagogic Service Project
Initial Publication Date: October 14, 2010

Summary

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In this Excel spreadsheet exercise, students will estimate the growth rate version of Okun's Law and in doing so will estimate the Okun's Law parameter and potential GDP growth for three periods: 1949-1972, 1973-1996, and 1997-2009. Students learn how to make a scatter plot of data, plot a linear regression line and interpret the results. The results show the slowdown in GDP growth after 1972 and a relatively stable Okun's Law parameter of around 2. The regression estimation is automated and requires no knowledge of statistics.

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Learning Goals

Understanding Okun's Law, potential GDP growth and unemployment rate. Practice plotting data, fitting a line (simple linear regression), and computing percentage changes. Interpreting intercept and slope coefficients.

Context for Use

This is appropriate for any undergraduate macroeconomics course: the Principles level, intermediate level or electives.

Description and Teaching Materials

Please see the attached documents for details:

Teaching Notes and Tips

I use the assignment in a laboratory class, taking about 30 minutes. This assignment works fairly smoothly. I give verbal instructions and a demonstration on how to do the assignment but the student instruction sheet provides a back-up. The assignment may be expanded to have students gather and manipulate the data themselves.

Assessment

Students may hand in the completed spreadsheet with correct interpretation. I also ask questions on exams to interpret a figure depicting results as they appear in the lab assignment.

References and Resources

The data can be found at the Federal Reserve Bank of St. Louis FRED database .