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The design of a poverty measure involves the selection of a set of parameters and poverty figures. In most cases the … measures are estimated from sample surveys. This raises the question of how conclusive particular poverty comparisons are … shows how to apply dominance and rank robustness tests to assess comparisons as poverty cutoffs and other parameters changes …
Persistent link: https://www.econbiz.de/10013026717
Empirical applications of poverty measurement often have to deal with a stochastic weighting variable such as household … distributions of the decomposable curves. The poverty line is allowed to depend on the income distribution. It is shown how the … results can be used to test hypotheses concerning changes in poverty. The inference procedures are briefly illustrated using …
Persistent link: https://www.econbiz.de/10014062237
Kakwani (Econometrica, Vol. 48, No. 2, p. 437-446 (1980)) introduced the S-Gini poverty indices as a generalization of … Sen's poverty index. I propose a sample estimator for the indices and establish its asymptotic normality under weak … conditions. An explicit variance formula is presented. The poverty line is allowed to depend on the income distribution function …
Persistent link: https://www.econbiz.de/10014062244
The objective of measuring poverty is usually to make comparisons over time or between two or more groups. Common … statistical inference methods are used to determine whether an apparent difference in measured poverty is statistically … significant. Studies of relative poverty have long recognized that when the poverty line is calculated from sample survey data …
Persistent link: https://www.econbiz.de/10014260972
As I document using evidence from a journal data repository that I manage, the datasets used in empirical work are getting larger. When we use very large datasets, it can be dangerous to rely on standard methods for statistical inference. In addition, we need to worry about computational issues....
Persistent link: https://www.econbiz.de/10012815681
This paper develops a semi-parametric Bayesian regression model for estimating heterogeneous treatment effects from observational data. Standard nonlinear regression models, which may work quite well for prediction, can yield badly biased estimates of treatment effects when fit to data with...
Persistent link: https://www.econbiz.de/10012932596
This paper describes a randomization-based inference procedure for the distribution or quantiles of potential outcomes for a binary treatment and instrument. The method imposes no parametric model for the treatment effect, and remains valid for small n, a weak instrument, or inference on tail...
Persistent link: https://www.econbiz.de/10013124827
This paper reviews recent developments in methods for dealing with weak instruments (IVs) in IV regression models. The focus is more on tests (and confidence intervals derived from tests) than estimators. The paper also presents new testing results under many weak IV asymptotics, which are...
Persistent link: https://www.econbiz.de/10014062994
This paper develops a Bayesian approach to inference in a class of partially identified econometric models. Models in this class are characterized by a known mapping between a point identified reduced-form parameter μ and the identified set for a partially identified parameter θ . The approach...
Persistent link: https://www.econbiz.de/10011800582
This paper introduces a new identification- and singularity-robust conditional quasi-likelihood ratio (SR-CQLR) test and a new identification- and singularity-robust Anderson and Rubin (1949) (SR-AR) test for linear and nonlinear moment condition models. Both tests are very fast to compute....
Persistent link: https://www.econbiz.de/10012909479