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Misery index (economics)

Economic indicator measuring economic and social cost From Wikipedia, the free encyclopedia

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.[1]

Misery Index
  Misery Index
  Unemployment rate
  Inflation rate CPI

Misery index by US presidential administration

More information President, Time Period ...
Index = Unemployment rate + Inflation rate (lower number is better)
PresidentTime PeriodAverageLowHighStartEndChange
Harry Truman1948–19527.8803.45 – Dec 195213.63 – Jan 194813.633.45-10.18
Dwight D. Eisenhower1953–19609.2602.97 – Jul 195310.98 – Apr 19583.289.96+5.68
John F. Kennedy1961–19637.1406.40 – Jul 196208.38 – Jul 19618.316.82-1.49
Lyndon B. Johnson1963–19686.7705.70 – Nov 196508.19 – Jul 19687.028.12+1.10
Richard Nixon1969–197410.5707.80 – Jan 196917.01 – Jul 19747.8017.01+9.21
Gerald Ford1974–197616.0012.66 – Dec 197619.90 – Jan 197516.3612.66-3.70
Jimmy Carter1977–198016.2612.60 – Apr 197821.98 – Jun 198012.7219.72+7.00
Ronald Reagan1981–198812.1907.70 – Dec 198619.33 – Jan 198119.339.72-9.61
George H. W. Bush1989–199210.6809.64 – Sep 198914.47 – Nov 199010.0710.30+0.23
Bill Clinton1993–20007.8005.74 – Apr 199810.56 – Jan 199310.567.29-3.27
George W. Bush2001–20088.1105.71 – Oct 200611.47 – Aug 20087.937.39-0.54
Barack Obama2009–20168.8305.06 – Sep 2015
12.87 – Sep 20117.836.77-1.06
Donald Trump2017–20206.9105.21 – Sep 2019
15.03 – Apr 20207.308.06+0.76
Joe Biden2021– January 202510.1606.79 – Feb 2024
11.29 – Jun 20217.707-0.7
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[2]

Variations

Harvard Economist Robert Barro created what he dubbed the "Barro Misery Index" (BMI), in 1999.[3] 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.[4]

In 2013 Hanke constructed a World Table of Misery Index Scores by exclusively relying on data reported by the Economist Intelligence Unit.[5] This table includes a list of 89 countries, ranked from worst to best, with data as of December 31, 2013 (see table below).

World Table of Misery Index Scores as of December 31, 2013.

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.[6]

Hanke's Misery Index

More information Country/Territory ...
Ranked from worst to best
Country/Territory 2020[7] 2022[8]
Venezuela3827.6330.8
Zimbabwe547.0414.7
SyriaN/A225.4
YemenN/A116.2
GhanaN/A86.8
BarbadosN/A31.5
Sudan193.9176.1
Lebanon177.1190.337
Suriname145.380.5
Libya105.760.3
Argentina95.0156.192
Iran92.173.3
Angola60.693.518
Madagascar60.463.6
Brazil53.461.785
South Africa49.383.492
Haiti48.995.4
Kyrgyzstan47.140.977
Nigeria45.647.2
Eswatini42.763.1
Lesotho42.451.6
Peru42.234.835
Zambia41.632
South Sudan41.2176.1
Turkey41.2101.601
Namibia40.755.7
Gabon40.562.4
Congo40.361.5
Botswana39.764.023
Iraq39.542.3
São Tomé and Príncipe39.362.3
Liberia39.126.32
Jamaica38.641
Malawi37.963.5
Jordan37.956.3
Guinea36.838.9
Uruguay36.730.296
Armenia36.733.7
Montenegro36.252.653
Tunisia36.146.905
Ethiopia36.161
Honduras35.842.2
India35.822.58
Panama35.719.21
Colombia35.444.531
Mongolia35.442.98
Georgia34.852.5
Uzbekistan34.144.4
Dominican Republic34.027.2
Ukraine33.5110.003
Saudi Arabia33.124.603
Algeria32.750.2
Pakistan32.552.6
Costa Rica32.437.077
Paraguay32.043.7
Trinidad and Tobago31.521.98
Greece31.331.128
Mauritius30.429.884
Gambia30.241.2
Cape Verde29.926.3
Bolivia29.918.9
Kazakhstan29.543.854
Guatemala29.326.3
Burundi28.741
Philippines28.319.552
Azerbaijan28.238.131
Spain28.228.16
North Macedonia28.150.4
Belize27.8
Democratic Republic of the Congo27.438.64
Equatorial Guinea27.131.8
Comoros26.237.1
Myanmar26.250.4
El Salvador26.028.4
Mozambique25.836.9
Nicaragua25.718.725
Mexico25.620.3
Sri Lanka24.399.634
Chile23.936.846
Albania23.825.6
Bosnia and Herzegovina23.875.9
Iceland23.521.525
Ecuador23.317.5
Fiji23.217.5
Mauritania23.245.4
Morocco22.836.565
New Zealand22.222.441
Belarus22.039.2
Italy22.026.451
Oman21.611.3
United Kingdom22.517.659
Egypt20.941.832
Indonesia20.921.727
Kenya20.829.264
Vanuatu20.418.3
Kuwait20.38.6
Papua New Guinea20.118
Russia19.933.202
  Nepal19.937.18
Romania18.532.271
Serbia18.441.138
France18.419.935
Croatia18.325.5
Hong Kong18.218.191
Canada18.120.676
Malta18.011.062
Portugal18.018.615
Uganda17.635.235
Mali17.532.7
Estonia17.134.692
Latvia17.135.49
Slovenia17.019.919
United States16.716.882
Moldova16.452.9
Cyprus16.320.6
Slovakia16.232.051
Bulgaria16.024.6
Laos16.052.16
Australia15.920.059
Burkina Faso15.926.3
Cuba15.8102
Czech Republic15.722.2
Cameroon15.519
Belgium15.420.608
Hungary14.840.242
Singapore14.615.986
Austria14.517.063
Lithuania14.532.87
Malaysia14.59.075
Guinea-Bissau14.417.2
Israel14.412.384
Luxembourg14.318.316
Bangladesh14.020.107
Poland13.933.761
Vietnam13.414.839
Bahrain13.222.2
Central African Republic13.235.4
Netherlands13.014.973
Ireland12.98.602
Finland12.821.629
Norway12.813.542
Sweden12.729.198
Thailand12.610.219
Denmark11.815.785
United Arab Emirates11.813
Tanzania11.625.132
Chad11.623.34
Tonga11.488.1
Germany10.916.381
Côte d'Ivoire10.811.622
Rwanda10.669.192
Niger10.59.77
Togo9.510.95
 Switzerland8.68.518
South Korea8.312.515
China8.313.1
Japan8.19.071
Qatar5.313.591
Taiwan3.89.399
Guyana−3.3
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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."[9]

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.[10] 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.[citation needed]

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

References

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