Der vorliegende Beitrag zeigt die Möglichkeiten und Grenzen eines Versuchs, sechs Querschnitte der Einkommens- und Verbrauchsstichprobe (1978 bis 2003) intertemporal vergleichbar aufzubereiten. Insbesondere werden die Effekte eines Bruchs in der Erhebungsmethode auf die in den Querschnitten...

We estimate the elasticity of charitable giving with respect to price and income changes using a rich panel of income tax returns covering the period 2001 to 2006. Employing censored quantile regression and exploiting the panel structure, the advantage of our analysis is twofold: First, we...

We outline a procedure for combining six cross-sections of the German Sample Survey of Income and Expenditure, and discuss potential pitfalls of such a venture. Particularly, we investigate the consequences of a major break in the survey design for inter-temporal comparisons of expenditure...

We outline a procedure for combining six cross-sections of the German Sample Survey of Income and Expenditure, and discuss potential pitfalls of such a venture. Particularly, we investigate the consequences of a major break in the survey design for inter-temporal comparisons of expenditure...

We estimate the elasticity of charitable giving with respect to price and income changes using a rich panel of income tax returns covering the period 2001 to 2006. Employing censored quantile regression and exploiting the panel structure, the advantage of our analysis is twofold: First, we...

We outline a procedure for combining six cross-sections of the German Sample Survey of Income and Expenditure, and discuss potential pitfalls of such a venture. Particularly, we investigate the consequences of a major break in the survey design for inter-temporal comparisons of expenditure...

We estimate the elasticity of charitable giving with respect to price and income changes using a rich panel of income tax returns covering the period 2001 to 2006. Employing censored quantile regression and exploiting the panel structure, the advantage of our analysis is twofold: First, we...