Work and life satisfaction depends on a number of pecuniary and nonpecuniary factors at the workplace and determines these in turn. We analyze these causal linkages using a structural vector autoregression approach for a sample of the German working populace collected from 1984 to 2008, finding...

Work and life satisfaction depend on a number of pecuniary and non-pecuniary factors at the workplace and determine these in turn. We analyze these causal linkages using a structural vector autoregression approach for a German sample of the working populace from 1984-2008.

We use a panel vector autoregressions model to examine the coevolution of changes in happiness and changes in income, health, marital status as well as employment status for the British Household Panel Survey (BHPS) data set. This technique allows us to simultaneously analyze the impact of the...

We use a panel vector autoregressions model to examine the coevolution of changes in mental well-being and changes in income, health, marital status and employment status for the British Household Panel Survey (BHPS) data set. This technique allows us to simultaneously analyze the impact of the...

Structural vector-autoregressive models are potentially very useful tools for guiding both macro- and microeconomic policy. In this paper, we present a recently developed method for exploiting non-Gaussianity in the data for estimating such models, with the aim of capturing the causal structure...