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counting-type multidimensional poverty measures, I draw on the properties of positive Boolean threshold functions to prove that … the space of feasible poverty definitions is finite and can be partitioned into at most (D2 +D)/2 parts, where D is the … bounding approach, which weights each dimension equally; and (ii) stochastic search, where coverage of the space of poverty …
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development, and poverty reduction, especially in the places where are vulnerable to shocks. In this study, we assess the … impacts of shocks and poverty. We use a panel data of 1227 identical households for Vietnam in two waves of the Thailand … into poverty in absolute, relative, and multidimensional measures. We suggest that rural development policies in developing …
Persistent link: https://www.econbiz.de/10014428159
This chapter considers methods for evaluating the impact of social programs in the presence of nonrandom program placement or program selection. It first presents the evaluation problem as a missing data problem and then considers various solutions proposed in the statistics and econometrics...
Persistent link: https://www.econbiz.de/10014024660
methods to anti-poverty programs in developing countries, drawing on examples from actual evaluations. Two main lessons emerge …
Persistent link: https://www.econbiz.de/10014024661
Economists have devoted increasing attention to the magnitude and consequences of measurement error in their data. Most discussions of measurement error are based on the “classical” assumption that errors in measuring a particular variable are uncorrelated with the true value of that...
Persistent link: https://www.econbiz.de/10014024981
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I review recent work in the statistics literature on instrumental variables methods from an econometrics perspective. I discuss some of the older, economic, applications including supply and demand models and relate them to the recent applications in settings of randomized experiments with...
Persistent link: https://www.econbiz.de/10010259577