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Misery index (economics)

Misery index (economics) is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Misery index (economics) rather than just read about it. In short: The misery index is an economic indicator, created by the American economist Arthur Okun. The index helps determine how the average citizen is doing economically and is calculated by adding the seasonally adjusted unemployment rate to the annual inflation rate.

Misery index (economics) — main illustration
Misery index (economics) — illustration

Key takeaways

  • Misery index (economics) belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Misery index (economics) to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Misery index (economics) from memory before moving on to harder problems.

Reference excerpt

The misery index is an economic indicator, created by the American economist Arthur Okun. The index helps determine how the average citizen is doing economically and is calculated by adding the seasonally adjusted unemployment rate to the annual inflation rate. It is assumed that both a higher rate of unemployment and a worsening of inflation create economic and social costs for a country.

Misery index by US presidential administration

Variations Harvard Economist Robert Barro created what he dubbed the "Barro Misery Index" (BMI), in 1999. The BMI takes the sum of the inflation and unemployment rates, and adds to that the interest rate, plus (minus) the shortfall (surplus) between the actual and trend rate of GDP growth. In the late 2000s, Johns Hopkins economist Steve Hanke built upon Barro's misery index and began applying it to countries beyond the United States. His modified misery index is the sum of the interest, inflation, and unemployment rates, minus the year-over-year percent change in per-capita GDP growth. In 2013 Hanke constructed a World Table of Misery Index Scores by exclusively relying on data reported by the Economist Intelligence Unit. This table includes a list of 89 countries, ranked from worst to best, with data as of December 31, 2013 (see table below).

Political economists Jonathan Nitzan and Shimshon Bichler found a negative correlation between a similar "stagflation index" and corporate amalgamation (i.e. mergers and acquisitions) in the United States since the 1930s. In their theory, stagflation is a form of political economic sabotage employed by corporations to achieve differential accumulation, in this case as an alternative to amalgamation when merger and acquisition opportunities have run out.

Hanke's Misery Index

Criticism A 2001 paper looking at large-scale surveys in Europe and the United States concluded that unemployment more heavily influences unhappiness than inflation. This implies that the basic misery index underweights the unhappiness attributable to the unemployment rate: "the estimates suggest that people would trade off a 1-percentage-point increase in the employment rate for a 1.7-percentage-point increase in the inflation rate."

Misery and crime Some economists, such as Hooi Hooi Lean, posit that the components of the Misery Index drive the crime rate to a degree. Using data from 1960 to 2005, they have found that the Misery Index and the crime rate correlate strongly and that the Misery Index seems to lead the crime rate by a year or so. In fact, the correlation is so strong that the two can be said to be cointegrated, and stronger than correlation with either the unemployment rate or inflation rate alone.

Data sources The data for the misery index is obtained from unemployment data published by the U.S. Department of Labor (U3) and the Inflation Rate (CPI-U) from the Bureau of Labor Statistics. The exact methods used for measuring unemployment and inflation have changed over time, although past data is usually normalized so that past and future metrics are comparable.

See also Elder Index

References

External links The current and historical Misery Index The Misery Index by President The Misery Index By Year Cato Publications Commentary Correlations of Misery Index and Consumer Sentiment

Illustrations

Misery index (economics): Misery Index
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  Unemployment rate 
  Inflation rate CPI
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Misery index (economics): World Table of Misery Index Scores as of December 31, 2013.
World Table of Misery Index Scores as of December 31, 2013.

Worked examples

Example 1 — a first encounter with Misery index (economics)

Start with the simplest possible case. Write down what Misery index (economics) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Misery index (economics) before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Misery index (economics) ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Misery index (economics)

In research
Misery index (economics) appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Misery index (economics) in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Misery index (economics) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Economic indicators, Inflation in the United States, Macroeconomic indicators, so understanding it makes those chapters shorter.
In everyday life
Look for Misery index (economics) outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Misery index (economics) in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Misery index (economics) means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Misery index (economics) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Misery index (economics) in simple terms?

The misery index is an economic indicator, created by the American economist Arthur Okun. The index helps determine how the average citizen is doing economically and is calculated by adding the seasonally adjusted unemployment rate to the annual inflation rate.

Why does Misery index (economics) matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Misery index (economics)?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Misery index (economics).

Tags

  • Economic indicators
  • Inflation in the United States
  • Macroeconomic indicators
  • Political science theories
  • Unemployment in the United States

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