How large is the housing wealth effect? : a new approach

This paper presents a simple new method for estimating the size of ‘wealth effects’ on aggregate consumption. The method exploits the well-documented sluggishness of consumption growth (often interpreted as ‘habits’ in the asset pricing literature) to distinguish between short-run and long-run wealth effects. In U.S. data, we estimate that the immediate (next-quarter) marginal propensity to consume from a $1 change in housing wealth is about 2 cents, with a final long-run effect around 9 cents. Consistent with several recent studies, we find a housing wealth effect that is substantially larger than the stock wealth effect. We believe that our approach is preferable to the currently popular cointegrationbased estimation methods, because neither theory nor evidence justifies faith in the existence of a stable cointegrating vector. JEL Classification: E21, E32, C2

Gender, generations, and nonfarm participation

The authors present an empirical analysis of intergenerational links in nonfarm participation with a focus on gender effects. Using survey data from Nepal, the evidence shows that the mother exerts a strong influence on a daughter's employment choice. Having a mother in a nonfarm sector raises a daughter's probability of nonfarm participation by 200 percent. The effects are truly dramatic for skilled nonfarm jobs. Having a mother in a skilled job raises a daughter's probability by 1,200 percent. Having a father in a nonfarm sector, on the other hand, does not have any significant effect on a son's probability of nonfarm participation when the endogeneity of education and assets is corrected for by the two-stage conditional maximum likelihood approach. But a moderate positive intergenerational correlation between fathers and sons exists for skilled jobs.Health Monitoring&Evaluation,Public Health Promotion,Economic Theory&Research,Decentralization,Health Economics&Finance,Health Monitoring&Evaluation,Economic Theory&Research,Health Economics&Finance,Environmental Economics&Policies,Teaching and Learning

How Large Is the Housing Wealth Effect? A New Approach

This paper presents a simple new method for estimating the size of ‘wealth effects?on aggregate consumption. The method exploits the well-documented sluggishness of consumption growth (often interpreted as ‘habits?in the asset pricing literature) to distinguish between short-run and long-run wealth effects. In U.S. data, we estimate that the immediate (next-quarter) marginal propensity to consume from a $1 change in housing wealth is about 2 cents, with a final longrun effect around 9 cents. Consistent with most recent studies, we find a housing wealth effect that is substantially larger than the stock wealth effect. We believe that our approach has sounder theoretical foundations than the currently popular cointegration-based estimation methods, because neither theory nor evidence provides any reason for faith in the existence of a stable cointegrating vector.

How large are housing and financial wealth effects? A new approach

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 estimate that the immediate (next-quarter) marginal propensity to consume from a change in housing wealth is about 2 cents, with a final eventual effect around 9 cents, substantially larger than the effect of shocks to financial wealth. We argue that our method is preferable to cointegration-based approaches, because neither theory nor evidence supports faith in the existence of a stable cointegrating vector. JEL Classification: E21, E32, C22asset prices, Consumption Dynamics, housing wealth, wealth effect

How Large Is the Housing Wealth Effect? A New Approach

This paper presents a simple new method for estimating the size of 'wealth effects' on aggregate consumption. The method exploits the well-documented sluggishness of consumption growth (often interpreted as 'habits' in the asset pricing literature) to distinguish between short-run and long-run wealth effects. In U.S. data, we estimate that the immediate (next-quarter) marginal propensity to consume from a $1 change in housing wealth is about 2 cents, with a final long-run effect around 9 cents. Consistent with several recent studies, we find a housing wealth effect that is substantially larger than the stock wealth effect. We believe that our approach is preferable to the currently popular cointegration- based estimation methods, because neither theory nor evidence justifies faith in the existence of a stable cointegrating vector.