Well-being (i.e., satisfaction, happiness) is a latent variable, impossible to observe directly. Hence, questionnaires ask people to grade their well-being in different life domains. The most common practice-comparing well-being by means of descriptive analysis or linear regressions-ignores that...

Well-being (i.e., satisfaction, happiness) is a latent variable, impossible to observe directly. Hence, questionnaires ask people to grade their well-being in different life domains. The most common practice-comparing well-being by means of descriptive analysis or linear regressions-ignores that...

We study inter-temporal changes in poverty for Germany from year 1978 to 2003, and we employ the bootstrap method to test for statistical significance of results. All results are decomposed by household type and region. Poverty estimates are particularly high for single parents. Most striking,...

Based on six harmonized cross-sections of the German Sample Survey of Income and Expenditure, we study inter-temporal changes in poverty from year 1978 to 2003. Results are decomposed by region and household types, and the bootstrap method is applied to test for the statistical significance of...

We study inter-temporal changes in poverty for Germany from year 1978 to 2003, and we employ the bootstrap method to test for statistical significance of results. All results are decomposed by household type and region. Poverty estimates are particularly high for single parents. Most striking,...

Based on six harmonized cross-sections of the German Sample Survey of Income and Expenditure, we study inter-temporal changes in poverty from year 1978 to 2003. Results are decomposed by region and household types, and the bootstrap method is applied to test for the statistical significance of...

Based on six harmonized cross-sections of the German Sample Survey of Income and Expenditure, we study inter-temporal changes in poverty from year 1978 to 2003. Results are decomposed by region and household types, and the bootstrap method is applied to test for the statistical significance of...

We study inter-temporal changes in poverty for Germany from year 1978 to 2003, and we employ the bootstrap method to test for statistical significance of results. All results are decomposed by household type and region. Poverty estimates are particularly high for single parents. Most striking,...