One of my favorite papers to present is my paper on improving management in India, in part because we have wonderful photos to illustrate what bad management looks like and what improved practices look like (see the appendix to the paper for some of these). Photographing impact isn’t only useful for presentations and glossy summaries, but may potentially offer a new form of data. However, this is easier said than done, and today I thought I’d share some misadventures in trying to photograph impacts on small firms.
Mark Rosenzweig and I have just written the preface for a special issue of the Journal of Development Economics focused on measurement and survey design. Rather than just summarize the papers, we tried to draw some lessons/themes of what the 13 papers in the special issue suggest. You can find the preface here.
Here are a couple of the points – read the preface for the full list of lessons:
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…
It’s well-worn development wisdom that transfer programs specifically targeting women result in better child outcomes. Presumably this effect works through the empowerment of women in the household, where the shift in relative earnings gives greater weight to the preferences of the woman and less to those of her husband.
I’m currently attending this large conference in lovely Toronto and trying to pack-in as many sessions as possible. A handful of papers have stood out to me – two evaluations of on-going pay-for-performance schemes in health and two methodological papers related to the economics of obesity.
Markus’s previous post on the measurement of sensitive information has started the ball rolling on a major topic that we all confront in field work – accurate measurement. This is an especially acute issue for studies that investigate socially undesirable or stigmatized behaviors such as risky sexual practices or illegal activities.
Regardless of whether we do empirical or theoretical work, we all have to utilize information given to us by others. In the field of development economics, we rely heavily on surveys of individuals, households, facilities, or firms to find out about all sorts of things. However, this reliance has been diminishing over time: we now also collect biological data, try to incorporate more direct observation of human behavior, or conduct audits of firms.
Markus’ s post yesterday is the first on what will be one recurring blog theme here- measurement. I’ll continue the trend today with a focus on one of the most fundamental welfare constructs in economics: consumption. Specifically, how might the development researcher accurately measure household consumption through survey?