|
on Neuroeconomics |
Issue of 2010‒04‒24
two papers chosen by |
By: | Anita Ratcliffe |
Abstract: | This study investigates whether and why house prices matter for well-being. House prices may influence well-being via a wealth/access-to-credit mechanism, as a rise in prices increases housing wealth and the collateral value of a house, and via a relative concerns mechanism, if renters compare themselves to homeowners and vice versa. Alternatively, any correlation between house prices and well-being may simply reflect broader economic conditions rather than a causal effect. Using local area house price data, this study distinguishes between these alternative explanations by comparing the correlation between local house prices and well-being for homeowners and renters. A small positive correlation between house prices and well-being exists for both homeowners and renters, indicating the absence of a wealth/credit mechanism or relative concerns mechanism. This correlation cannot be explained by economic variables such as local unemployment, earnings or earnings expectations, hinting at a purely psychological phenomenon. |
Keywords: | Well-being, House prices, Wealth, Economic climate |
JEL: | I1 D12 |
Date: | 2010–04 |
URL: | http://d.repec.org/n?u=RePEc:bri:cmpowp:10/234&r=neu |
By: | Robert J. Barro; Jong-Wha Lee |
Abstract: | Our panel data set on educational attainment has been updated for 146 countries from 1950 to 2010. The data are disaggregated by sex and by 5-year age intervals. We have improved the accuracy of estimation by using information from consistent census data, disaggregated by age group, along with new estimates of mortality rates and completion rates by age and education level. We use these new data to investigate how output relates to the stock of human capital, measured by overall years of schooling as well as by the composition of educational attainment of workers at various levels of education. We find schooling has a significantly positive effect on output. After controlling for the simultaneous determination of human capital and output, by using the 10-year lag of parents‘ education as an instrument variable (IV) for the current level of education, the estimated rate-of-return to an additional year of schooling ranges from 5% to 12%, close to typical Mincerian return estimates found in the labor literature. |
JEL: | F43 I21 O11 O4 |
Date: | 2010–04 |
URL: | http://d.repec.org/n?u=RePEc:nbr:nberwo:15902&r=neu |