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On estimating quantile sensitivities via infinitesimal perturbation analysis
Jiang, Guangxin; Fu, Michael - In: Operations research 63 (2015) 2, pp. 435-441
Persistent link: https://www.econbiz.de/10010526698
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Sensitivity to missing data assumptions : theory and an evaluation of the US wage structure
Kline, Patrick; Santos, Andres - In: Quantitative economics : QE ; journal of the … 4 (2013) 2, pp. 231-267
Persistent link: https://www.econbiz.de/10010126200
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Variable selection in regression models using global sensitivity analysis
Becker, William; Paruolo, Paolo; Saltelli, Andrea - In: Journal of time series econometrics 13 (2021) 2, pp. 187-233
Persistent link: https://www.econbiz.de/10012612768
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Pre-tender cost estimate of agriculture subsurface drainage projects
Mohmad, Hossam H.; Ibrahim, Ahmed Hamed; El Nagar, Heba H. - In: International journal of applied management science 8 (2016) 4, pp. 271-289
Persistent link: https://www.econbiz.de/10011646711
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Robust structural determinants of public deficits in developing countries
Gnimassoun, Blaise; Do Santos, Isabelle - In: Applied economics 53 (2021) 9, pp. 1052-1076
Persistent link: https://www.econbiz.de/10012425449
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No need to run millions of regressions
Sturm, Jan-Egbert - 2000
We argue that in modelling cross-country growth models one should first identify so-called outlying observations. For the data set of Sala-i-Martin, we use the least median of squares (LMS) estimator to identify outliers. As LMS is not suited for inference, we then use reweighted least squares...
Persistent link: https://www.econbiz.de/10009781564
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Determinants of rural household poverty in Pakistan with multilevel approach
Saleem, Sehar; Aslam, Maria; Sherwani, Rehan Ahmad Khan; … - In: Cogent economics & finance 11 (2023) 1, pp. 1-14
Rural poverty is often discussed in combination with spatial inequality where rural poor face worse problems with … of rural poverty based on data from the Rural Household Panel Survey of Pakistan Round-1 (2012). The multilevel binary … logistic model is used to integrate concurrent individual and district-level variables to explore area-level effects on poverty …
Persistent link: https://www.econbiz.de/10014500778
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Quantile regression with an endogenous misclassified binary regressor
Lamarche, Carlos - 2023
Recent work on the conditional mean model offers the possibility of addressing misreporting of participation in social programs, which is common and has increased in all major surveys. However, researchers who employ quantile regression continue to encounter challenges in terms of estimation and...
Persistent link: https://www.econbiz.de/10014468147
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Overweight and poor? : on the relationship between income and the body mass index
Jolliffe, Dean - 2010
regression ; Foster-Greer-Thorbecke poverty measures ; NHANES …
Persistent link: https://www.econbiz.de/10009312888
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Poverty decomposition by regression : an application to Tanzania
Fujii, Tomoki - 2015
We develop a poverty decomposition method that is based on a consumption regression model. Because this method uses an … integral of the partial derivatives of a poverty measure with respect to time, the resulting poverty decomposition satisfies … time-reversion consistency and sub-period additivity. Unlike the existing poverty decomposition methods, it allows us to …
Persistent link: https://www.econbiz.de/10011347261