I recently read a Guardian article on the most common reported regrets from the dying and thought, “oh, that’s a good lead-in for a blog on subjective well-being.” However I see that Nic Marks at the New Economic Foundation beat me to the punch, so I link his insightful post. Nevertheless I’ll extend what he starts and add a development perspective…
Jed Friedman's blog
Ten years ago when I was a graduate student piloting questionnaires in rural Indonesia, I sat with a translator and an elderly farmer in his front yard. Mid-way through the interview I asked this farmer the first of several standard questions related to general well-being and life satisfaction: “Thinking about your own life and personal circumstances, how satisfied are you with your life as a whole?” The farmer stared at us with a look of bewilderment on his face. So we asked a second time in a slow sympathetic tone.
For many years, researchers have recognized the need to correct standard error estimates for observational dependence within clusters. An earlier post contrasted the typical approach to this matter, the cluster robust standard error (CRSE), and various methods to cluster bootstrap the standard error.
If economists view mental health as one component of human capital, as we typically view physical health, then it’s a natural step to the corollary view that good mental health leads to productivity enhancing behaviors such as increased labor supply, greater effort, enhanced concentration, and so on. Given its productive role perhaps mental health, often neglected in the policy realm, deserves more attention. Unfortunately there are precious few studies till date that actually establish such a link between psychological health and productivity.
Worker job satisfaction has been linked to salient measures of performance such as productivity, absenteeism, and workforce turnover. As such it is a construct that economists care about. I’ve recently reviewed research on the determinants of job satisfaction in order to prepare for a study on pay-for-performance reforms in the health sector. And I’ve found a few surprises…
A conference on access to malaria medicine recently held at the World Bank offered many substantive studies – and I will discuss some in detail in the new year. However with my last post of 2011 I’d like to end the year on some good news (even if the news is only partially related to impact evaluation).
On my return from a long work trip in Thailand and the Philippines, I stopped at the University of Southern California to attend the 4th global health supply chain summit. I typically enjoy attending meetings outside my immediate discipline since I get to hear about new ideas in fields far from my own. This conference was no exception.
Network analysis is a burgeoning sub-field in development economics as more and more attention is paid to how individual preferences and behaviors are influenced by decisions in the wider community. One example is the 2007 Kremer and Miguel paper that explores the determinants of take-up of deworming medicine by regressing take-up on the number of connections that the household has with other treated households.