This paper estimates the degree of stickiness in aggregate consumption growth (sometimes interpreted as reflecting consumption habits) for thirteen advanced economies. We find that after controlling for measurement error, consumption growth has a high degree of autocorrelation, with a stickiness...

This paper presents a simple new method for measuring `wealth effects' on aggregate consumption. The method exploits the stickiness of consumption growth (sometimes interpreted as reflecting consumption `habits') to distinguish between immediate and eventual wealth effects. In U.S. data, we...

Using new micro data on household wealth from fifteen European countries, the Household Finance and Consumption Survey, we first document the substantial cross-country variation in how various measures of wealth are distributed across individual households. Through the lens of a standard,...

A large body of microeconomic evidence supports Friedman (1957)'s proposition that household income can be reasonably well described as having both transitory and permanent components. We show how to modify the widely-used macroeconomic model of Krusell and Smith (1998) to accommodate such a...

We present a macroeconomic model calibrated to match both microeconomic and macroeconomic evidence on household income dynamics. When the model is modified in a way that permits it to match empirical measures of wealth inequality in the U.S., we show that its predictions (unlike those of...

We estimate the degree of ‘stickiness’ in aggregate consumption growth (sometimes interpreted as reflecting consumption habits) for thirteen advanced economies. We find that, after controlling for measurement error, consumption growth has a high degree of auto-correlation, with a stickiness...

This paper presents a simple new method for measuring `wealth effects' on aggregate consumption. The method exploits the stickiness of consumption growth (sometimes interpreted as reflecting consumption `habits') to distinguish between immediate and eventual wealth effects. In U.S. data, we...