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?
Over and over again, and then again, and then some more, we get asked about evidence for the role of public opinion for development. Where's the impact? How do we know that the public really plays a role? What's the evidence, and is the effect size significant? Go turn on the television. Go open your newspaper. Go to any news website. Do tell me how we're supposed to put that in numbers.
Here's a thought: maybe the role of public opinion in development is just too big to be measured in those economic units that we mostly use in development? How do you squeeze history into a regression model? Let's have a little fun with this question. Let's assume that
y = b0 + b1x1 + b2x2 + b3x3 + b4x4 + b5x5 + b6x6 + b7x7 + b8(x1x4) + b9(x3x4) + e
What is good governance, and how should we measure it? What impact does governance have on growth? Even if good governance predicts positive outcomes over the long term, what effect does it have in the short term? Dani Rodrik, well-known development economist and head of Harvard’s graduate program in public administration and international development, raises as many questions as he answers in this blog post; a recent