Happiness in Europe

This file provides template for variable “happy” in ESS.

1. Overview	An overview of our analysis
2. Geographical Variation	Trends Across Geography
3. Clustering on Country-Level Demographics	Correlations with GDP, Political Leaning & Religiousity.
4. Variable Importance	Variable Importance with Algorithms
5. Regressions	Regressions with marginal effects
6. By-Country Analysis	A look at differences from the country mean
7. By-Country Regression	Explore regressions by country
8. Interactions	Explore 2-Way interactions

cpub https://ctzn.pub/happy_temp (the Citizen Science Lab)https://ctzn.pub
2019-06-26

Overview

The data used in this analysis comes from the European Social Survey (ESS) which provides a wide variety of measures on attitudes and beliefs of representative European population from over 30 countries. This face-to-face survey has been conducted every two years since 2001 providing a vital (and academically rigorous) resource to capture European social, political and moral fabric .

Our analysis here focuses on pooled data across all countries from 2002-2016 (latest year available at the time of this writing). For survey methodology, original questionnaire, and data downloads visit the ESS website .

ESS Question: Taking all things together, how happy would you say you are? The core module of ESS (2002-2016) has asked this question from respondents on a scale (1=Extremely unhappy, 1=Extremely happy).