Psychologists and sociologists usually interpret answers to happiness surveys as cardinal and comparableacross respondents (Kahneman et al. 1999). As a result, these social scientists run OLS regressionson happiness and changes in happiness. Economists, on the other hand, usually only assume...

This paper contributes to the literature on subjective well-being (SWB) by taking into account different aspects of life, called domains, such as health, financial situation, job, leisure, housing, and environment. We postulate a two-layer model where individual total SWB depends on the...

Is working more than monetary income? This paper attempts to give an answer to this question on the basis of the German Socio-economic Panel data set. By comparing the satisfaction with life between workers and non-workers with the same household income, the monetary value of participating in...

The finite sample behaviour is analysed of particular least squares (LS) andmethod of moments (MM) estimators in panel data models with individual effectsand both a lagged dependent variabIe regressor and another explanatory variabIewhich may be affected by lagged feedbacks from the dependent...

The relative magnitudes are compared of successive terms in a higher-order asymptotic expansion of the bias of the LSDV estimator in dynamic panels. We find that the leading term accounts for the major part of the actual bias in small samples. This implies that bias correction procedures can be...

A major economic reason for the introduction of the euro was its supposedly positive effect on intra-EMU trade. Existing studies examine this suspicion indirectly using non-EMU data and report ambiguous results. We estimate the euro-effect directly from data that include EMU observations. Using...

This paper examines the sources of stickiness in aggregate consumption growth. We first derive a dynamic consumption equation which encompasses many recent developments in consumption theory: habit formation, intertemporal substitution effects, consumption based on current income, and...

We propose a new estimator, the thresholded scaled Lasso, in high dimensional threshold regressions. First, we establish an upper bound on the l∞ estimation error of the scaled Lasso estimator of Lee et al. (2012). This is a non-trivial task as the literature on high-dimensional models has...