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This paper decomposes differences in poverty incidence (head count ratio) using estimates from a regression equation … coefficients effects when decomposing differences in poverty incidence. The proposed method is implemented for studying differences … in poverty incidence between Serbians and Albanians in Kosovo using Living Standard Measurement Survey. -- poverty …
Persistent link: https://www.econbiz.de/10003465660
Recentered influence functions (RIFs) are statistical tools popularized by Firpo, Fortin, and Lemieux (2009) for analyzing unconditional partial effects on quantiles in a regression analysis framework (unconditional quantile regressions). The flexibility and simplicity of these tools has opened...
Persistent link: https://www.econbiz.de/10011999073
In contrast to his contribution to other areas, Shubhashis Gangopadhyay's contributions to our understanding of poverty … Gangopadhyay directly takes on poverty, including its estimate and understanding its sources. Our contribution honours Gangopadhyay … poverty incidence. We highlight how far it can take us, and how it still leaves us far short of understanding much of what …
Persistent link: https://www.econbiz.de/10012942090
In contrast to his contribution to other areas, Shubhashis Gangopadhyay’s contributions to our understanding of poverty … Gangopadhyay directly takes on poverty, including its estimate and understanding its sources. Our contribution honours Gangopadhyay … poverty incidence. We highlight how far it can take us, and how it still leaves us far short of understanding much of what …
Persistent link: https://www.econbiz.de/10011771455
In contrast to his contribution to other areas, Shubhashis Gangopadhyay's contributions to our understanding of poverty … Gangopadhyay directly takes on poverty, including its estimate and understanding its sources. Our contribution honours Gangopadhyay … poverty incidence. We highlight how far it can take us, and how it still leaves us far short of understanding much of what …
Persistent link: https://www.econbiz.de/10011763852
Estimators of regression coefficients are known to be asymptotically normally distributed, provided certain regularity conditions are satisfied. In small samples and if the noise is not normally distributed, this can be a poor guide to the quality of the estimators. The paper addresses this...
Persistent link: https://www.econbiz.de/10011349717
A measurement error model is a regression model with (substantial) measurement errors in the variables. Disregarding these measurement errors in estimating the regression parameters results in asymptotically biased estimators. Several methods have been proposed to eliminate, or at least to...
Persistent link: https://www.econbiz.de/10003135841
The intuition behind linear regression can be difficult for students to grasp particularly without a readily accessible context. This paper uses basketball statistics to demonstrate the purpose of linear regression and to explain how to interpret its results. In particular, the student will...
Persistent link: https://www.econbiz.de/10013131742
This paper constructs estimators for panel data regression models with individual specific heterogeneity and two-sided censoring and truncation. Following Powell (1986) the estimation strategy is based on moment conditions constructed from re-censored or re-truncated residuals. While these...
Persistent link: https://www.econbiz.de/10013118306
This paper introduces a new class of robust regression estimators. The proposed twostep least weighted squares (2S-LWS) estimator employs data-adaptive weights determined from the empirical distribution, quantile, or density functions of regression residuals obtained from an initial robust fit....
Persistent link: https://www.econbiz.de/10012731904