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Displaying all posts under the Big Question of Data and Methods
In last week’s blog post, I suggested that self-reported data should be supplemented with objective sources of information from independent third-party entities. Sometimes, however, independent data sources simply aren’t available and researchers have no choice but to base their analysis on self-reported data. Under these circumstances, some data collection methodologies might be more useful than others in ensuring that self-reported data are reliable.
Half of the adults in the world are “unbanked” -- about 2.5 billion people. That’s the starting point of a new book, Banking the World: Empirical Foundations of Financial Inclusion, published by the MIT Press.
Program evaluations and policy proposals are only as good as the data upon which they are based. Although we all know this to be true, discussions about the reliability of data, especially self-reported data, have only recently emerged in the field of development economics.
A regular theme in our writing is about the need for the microfinance industry to learn from and adapt to the needs of poor households. A few weeks ago, a new paper appeared based on an interesting attempt to test whether MFIs are interested in generating and using rigorous evidence.
April 5, 2013
Measuring (and Missing) Financial Inclusion
The fastest growing part of the financial inclusion movement isn’t a product or even a standard, it’s data and measurement. And if there’s something experts are increasingly agreeing on, it’s that it is illusory to try to define financial inclusion in any precise, universal way. John Gitau says he’s confused, and so am I. How do you measure financial inclusion?
March 20, 2013
Reliability of Self-Reported Data – Recall Bias
In a recent post, Tim Ogden and I discussed the importance of having solid, reliable data on which to base program evaluations and policy decisions.
February 20, 2013
What’s Next? External Validity
What’s next? Jonathan Morduch says: Making RCTs more useful.
When you’re thirsty, that first gulp of water is really satisfying. But after months of just drinking water, you’ll likely start hoping for more from your beverages.
I think that’s where we are with RCTs of microfinance.
January 25, 2013
A Call for Rigorous Data and Standardized Measures
Last November, the Consumer Financial Protection Bureau’s Office of Financial Empowerment hosted a conference on “Empowering Low-Income and Economically Vulnerable Consumers: Making the Case through Access, Data and Scale.” A key highlight of the conference was a breakout session about the incentives and obstacles to collecting data in the field.
January 16, 2013
Bad Data
At FAI, we’re big advocates for data. Why? Because you can’t make good policy without data. Data can be collected in many ways and come in many forms: transaction records, panel surveys, financial diaries, or field experiment results. We get excited about the opportunity to collect or analyze data about the financial behavior of poor households.
January 15, 2013
Banking the World: Empirical Foundations of Financial Inclusion
About 2.5 billion adults, just over half the world’s adult population, lack bank accounts. If we are to realize the goal of extending banking and other financial services to this vast “unbanked” population, we need to consider not only such product innovations as microfinance and mobile banking but also issues of data accuracy, impact assessment, risk mitigation, technology adaptation, financial literacy, and local context.