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The Impact of Democracy on Well-being

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Abstract

Can governance impact directly on well-being? In this paper we examine subjective well-being using data for a cross section of countries from the World Values data set. We find that regional democratic satisfaction impacts on both individual happiness and life satisfaction. However, the impact is less evident for women, rich people and for those in rich countries. The fact that the governance variable analysis is based on regional differences in democratic satisfaction reminds us that governance and indeed happiness often differs within countries as well as between them. The use of regional satisfaction in this manner helps overcome endogeneity problems which would be present if we were to use individual democratic satisfaction. Other significant determinants of happiness include settlement size, marital status, income, unemployment and being part of a linguistic minority/majority grouping.

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Notes

  1. Using data from the World Values Survey.

  2. At 1997 prices.

  3. Certain key variables are not included in the fifth wave. These include democratic satisfaction.

  4. We include country fixed effects, hence the impact of religion is related to the individual rather than on the culture of the country.

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Correspondence to John Hudson.

Data Appendix: Variable Definitions

Data Appendix: Variable Definitions

1.1 Attitudinal Variables

Happiness:

A dependent variable; coded 1 if the individual responded that taking all things together they were not at all happy to 4 very happy

Life satisfaction:

A second dependent variable; scaled from dissatisfied (1) to satisfied (10)

Democratic satisfaction:

Coded 1 if the respondent is very dissatisfied satisfied with the way democracy is developing in their country to 4 (very satisfied)

1.2 Socio Economic Variables

Male:

Binary variable, coded 1 if the respondent is a man

Age:

Age of the respondent in years

Married:

Binary variable, coded 1 if the respondent is married

Widow:

Binary variable, coded 1 if the respondent is widowed

Children:

Binary variable, coded 1 if the respondent has children

Education:

Coded from 1 (no formal education) to 9 (university level education with degree)

Income:

Coded from 1 to 10 reflecting increasing levels of household income—the exact classification varies from country to country. In effect this is a relative income measure

Savings:

Coded 1 if the respondent’s family saved money in the previous year to 4 if they spent savings and borrowed money

Poor health:

The self-perceived state of the individual’s health. A Binary variable, coded 1 if in poor or very poor health

Unemployed:

Binary variable, coded 1 if the respondent is unemployed

Location:

Coded 1–8 (large city) reflecting the size of the settlement in which the individual lives

Religious Group:

Binary variables, coded 1 if the individual identified themselves as members of a religious group (Catholic, Protestant, Orthodox, Jew, Muslim, respectively)

Linguistic Minority:

The proportion of the country’s population having as their first language the same as the respondent, where first language is defined as the one normally spoken at home

Religious Minority:

The proportion of the country’s population having the same religion as the respondent

GDPPC:

The level of GDP per capita in the individual’s country in the year 2000 in US$ purchasing power parity (Source: World Bank data set)

Countries included: Albania, Argentina, Bangladesh, Bosnia, Canada, Chile, Egypt, India, Indonesia, Iran, Japan, Jordan, Kyrgyz, Macedonia, Mexico, Moldova, Montenegro, Morocco, Peru, Philippines, Puerto Rico, Serbia, South Africa, Spain, Tanzania, Uganda, USA, Vietnam,

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Orviska, M., Caplanova, A. & Hudson, J. The Impact of Democracy on Well-being. Soc Indic Res 115, 493–508 (2014). https://doi.org/10.1007/s11205-012-9997-8

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