Skip to main content
. 2010 May 12;101(1):57–72. doi: 10.1007/s11205-010-9635-2

Table 1.

Definitions and descriptive statistics

Variable Definition n Mean St. Dev. Min Max
Subjective well-being Item: “How happy are you with your life in general?” 5 point scale, ranging from -1-very unhappy- to -5-very happy 697 3.369 1.21 1 5
Household level characteristics
 Absolute consumptiona Natural logarithm of all items bought during last week, all homegrown consumption during last 12 months, durable goods bought last year and replacement value of durables, per capita 398 7.31 1.08 3.58 10.52
 Conspicuous consumption Durable goods (jewellery, watches, mobile phones etc.), social and religious expenses, recreation expenses and last five years dowry expenses as percentage of a household’s total consumption 398 0.08 0.018 0.056 0.12
Village level characteristics
 Average consumption in village Absolute consumption, aggregated average per village 19 7.3 0.53 6.71 8.58
Cross level interaction terms
 Absolute consumption * Average consumption in village Included as a proxy for relative consumption
Control variables
 Income aspirations What household level income would you consider to be a good income? “Amount in Indian rupees (measured at the household level)” 398 3344.33 1219.42 1,000 10,000
 Health Number of days respondent missed primary daily activities due to sickness during last 4 weeks 697 0.89 2.69 0 30
 Age Respondent’s age. Continuous measurement 697 45.43 11.61 20 90
 Education Measured in full-time years of education 697 3.51 3.6 0 15
 Caste Scheduled caste/Scheduled tribe 370 53.08%
Backward caste 236 33.86%
General caste 134 19.23%
 Religion Hindu 610 87.52%
Muslim 26 3.73%
Christian 59 8.46%
 Employment status Employed 506 72.60%
Unemployed 191 27.40%
 Marital status Married 664 95.27%
Divorced/Widowed/Single 32 4.59%
 Gender Female 350 50.22%
Male 347 49.78%

aOur survey provided us with very detailed information on the household’s expenses. We used the consumption categories food consumption, food produces and consumed at home, non-food consumption and the replacement values of durable goods owned. We encountered several missing values which we imputed using multiple imputation methods