|
on Neuroeconomics |
Issue of 2013‒03‒30
three papers chosen by |
By: | Govert Bijwaard (NIDI, The Hague, IZA, Bonn); Hans van Kippersluis (Erasmus University Rotterdam); Justus Veenman (Erasmus University Rotterdam) |
Abstract: | We aim to disentangle the relative contributions of (i) cognitive ability, and (ii) education on health and mortality using a structural equation model suggested by Conti et al. (2010). We extend their model by allowing for a duration dependent variable, and an ordinal educational variable. Data come from a Dutch cohort born around 1940, including detailed measures of cognitive ability and family background at age 12. The data are subsequently linked to the mortality register 1995-2011, such that we observe mortality between ages 55 and 75. The results suggest that the treatment effect of education (i.e. the effect of entering secondary school as opposed to leaving school after primary education) is positive and amounts to a 4 years gain in life expectancy, on average. Decomposition results suggest that the raw survival differences between educational groups are about equally split between a 'treatment effect' of education, and a 'selection effect' on basis of cognitive ability and family background. |
Keywords: | Education; Cognitive Ability; Mortality; Structural Equation Model; Duration Model |
JEL: | C41 I14 I24 |
Date: | 2013–03–15 |
URL: | http://d.repec.org/n?u=RePEc:dgr:uvatin:20130044&r=neu |
By: | Paul Beaudry; David A. Green; Benjamin M. Sand |
Abstract: | What explains the current low rate of employment in the US? While there has been substantial debate over this question in recent years, we believe that considerable added insight can be derived by focusing on changes in the labor market at the turn of the century. In particular, we argue that in about the year 2000, the demand for skill (or, more specifically, for cognitive tasks often associated with high educational skill) underwent a reversal. Many researchers have documented a strong, ongoing increase in the demand for skills in the decades leading up to 2000. In this paper, we document a decline in that demand in the years since 2000, even as the supply of high education workers continues to grow. We go on to show that, in response to this demand reversal, high-skilled workers have moved down the occupational ladder and have begun to perform jobs traditionally performed by lower-skilled workers. This de-skilling process, in turn, results in high-skilled workers pushing low-skilled workers even further down the occupational ladder and, to some degree, out of the labor force all together. In order to understand these patterns, we offer a simple extension to the standard skill biased technical change model that views cognitive tasks as a stock rather than a flow. We show how such a model can explain the trends in the data that we present, and offers a novel interpretation of the current employment situation in the US. |
JEL: | J2 J31 O33 |
Date: | 2013–03 |
URL: | http://d.repec.org/n?u=RePEc:nbr:nberwo:18901&r=neu |
By: | Jacob Glazer; Ariel Rubinstein |
Date: | 2013–03–21 |
URL: | http://d.repec.org/n?u=RePEc:cla:levarc:786969000000000644&r=neu |