The Happiness Investigation project delves into understanding the determinants of general happiness among individuals. This exploration is facilitated by a dataset sourced from the General Social Survey (GSS), which contains a rich array of socio-economic variables. By analyzing this dataset, the project aims to uncover the factors associated with varying levels of happiness.
The dataset comprises 17137 observations across 33 variables:
year: year for each respondentworkstat: Workforce statusprestige: Occupational prestige scoredivorce: Ever been divorced or separatedwidowed: Ever been widowededuc: Highest year of school completedreg16: Region of residence at age 16babies: Household members less than 6 years oldpreteen: Household members 6 thru 12 years oldteens: Household members 13 thru 17 years oldincome: Total family incomeregion: Region of interviewattend: How often respondent attends religious serviceshappy: General happinessowngun: Equals 1 if respondent owns a guntvhours: Hours per day spent watching TVvhappy: Equals 1 if respondent is 'very happy'mothfath16: Equals 1 if respondent lived with mother and father at 16black: Equals 1 if respondent is blackgwbush04: Equals 1 if respondent voted for G.W. Bush in 2004female: Equals 1 if respondent is femaleblackfemale: Interaction between black and femalegwbush00: Equals 1 if respondent voted for G.W. Bush in 2000occattend: Equals 1 if attend is 3, 4, or 5regattend: Equals 1 if attend is 6, 7, or 8y94: Equals 1 if year == 1994y96,y98,y00,y02,y04,y06: Binary indicators for respective yearsunem10: Equals 1 if respondent was unemployed in the last 10 years
The dataset is sourced from the textbook "Introductory Econometrics: A Modern Approach, 5th Edition, 2013". It is available in the CRAN (Comprehensive R Archive Network) as open-source data.
The dataset is distributed under the terms specified by its source. For detailed licensing information, refer to the source material mentioned above.