Evaluating different approaches to estimating vulnerability
AbstractA number of researchers have recently proposed a variety of different `vulnerability'measures designed to capture the welfare consequences of risk for poor households, and also proposed a variety of different approaches to estimating these various measures of household vulnerability. However, it's possible to `mix-and-match'estimators and measures. Here we conduct Monte Carlo experiments designed to explore the performance of different estimators with different measures, under different assumptions regarding the underlying economic environment. We find that when the environment is stationary, and consumption expenditures are measured without error, that the best estimator is one proposed by Chaudhuri (2001), regardless of what measure of vulnerability is employed. If the vulnerability measure is risk-sensitive, but consumption is measured with error, a simple estimator proposed by the authors(2003) generally performs best. However, when the distribution of consumption is non-stationary, a modification of an estimator proposed by Pritchett et al. (2000) performs best. Future research should focus on combining the efficiency of the Chauduri estimator with the good properties of the authors (in environments with measurement error), and Pritchett (in non-stationary environments) estimators. However, even with present technology estimating vulnerability is simple, and much more informative, and useful than are static poverty measures, provided one has at least two rounds of panel data.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by The World Bank in its series Social Protection Discussion Papers with number 30159.
Date of creation: 01 Jun 2004
Date of revision:
Environmental Economics&Policies; Economic Theory&Research; Inequality; Poverty Lines; Consumption;
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Raiden C. Dillard).
If references are entirely missing, you can add them using this form.