Showing posts with label endogeneity. Show all posts
Showing posts with label endogeneity. Show all posts

Friday, November 11, 2011

A Little Gem

The following gem is attributed to the Lord Mayor of Dublin, Andrew Montague, in today's Irish Times:

“The more people we can get to cycle, the calmer the city centre traffic is, and that actually reduces fatalities, and the research shows that the safest cities in the world are the cities with the most cyclists”

http://www.irishtimes.com/newspaper/breaking/2011/1111/breaking9.html?via=mr

Thursday, April 15, 2010

Adopted children as a natural experiment ?

Many applied micro-economists like natural experiments to deal with selection on unobservables and the use of data on adopted children (compared to non-adopted) seems a nice way to deal with with unobserved genetic effects. For example see Erik Plug's AER paper "Estimating the effect of mother's schooling using a sample of adoptees" (2004), 94(1), 358-368.
Such a model essentially relies on the assumption that the only difference between biological and adopted children is that the parents are genetically related to one and not the other.
But adopted children may differ systematically for other reasons and the behaviour of parents towards such children may also differ so its unclear to me that this is a good natural experiment. Parents do have biological children by accident for example whereas adoption takes a big investment of time and energy and also requires the consent of others. Consistent with my skepticism about the merits of this "natural experiment" (I think) is the following paper:
Differential parental investment in families with both adopted and genetic children Kyle Gibson
Abstract:
Stepchildren are abused, neglected and murdered at higher rates than those who live with two genetically related parents. Daly and Wilson used kin selection theory to explain this finding and labeled the phenomenon “discriminative parental solicitude.” I examined discriminative parental solicitude in American households composed of both genetic and unrelated adopted children. In these families, kin selection predicts parents should favor their genetic children over adoptees. Rather than looking at cases of abuse, neglect, homicide and other antisocial behavior, I focused on the positive investments parents made in their children as well as the outcomes of each child. The results show that parents invested more in adopted children than in genetically related ones, especially in educational and personal areas. At the same time, adoptees experienced more negative outcomes. They were more likely to have been arrested, to have been on public assistance and to require treatment for drug, alcohol or mental health issues. They also completed fewer years of schooling and were more likely to divorce. In adoptive families, it appears that “the squeaky wheel gets the grease.” Parents invest more in adoptees not because they favor them, but because they are more likely than genetic children to need the help. I conclude that discriminative parental solicitude differs in adoptive and step households because adoptive families generally result from prolonged parenting effort, not mating effort like stepfamilies.
Evolution and Human Behavior 30 (2009) 184–189

Sunday, January 31, 2010

Basketball & endogeneity

Basketball is very important here in Kentucky. While at the mall today, on the back of a guy's hoodie today I saw the slogan "Basketball doesn't build character. It reflects it!" So this guy, or the person who designed his apparel, had a strong awareness of how unobserved heterogeneity can lead to misleading inferences about causal relationships. I thought about congratulating him on this, perhaps inviting him to reflect on Pearl's recent work on causality, but thought better of it. Nonetheless, he is way ahead of many more educated people. Go Wildcats!

Thursday, November 13, 2008

NBER paper on IV

For those of you with dodgy or no instruments (we know who you are) see this recent NBER paper
Identification with Imperfect Instruments
A Nevo, A Rosen
Dealing with endogenous regressors is a central challenge of applied research. The standard solution is to use instrumental variables that are assumed to be uncorrelated with unobservables. We instead assume (i) the correlation between the instrument and the error term has the same sign as the correlation between the endogenous regressor and the error term, and (ii) that the instrument is less correlated with the error term than is the endogenous regressor. Using these assumptions, we derive analytic bounds for the parameters. We demonstrate the method in two applications.
http://papers.nber.org/papers/w14434