Showing 1 - 8 of 8
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
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/10012871650
This paper presents a description of the quality of match of the statistical matches used in the LIMTCP estimates prepared for Ethiopia and South Africa. For Ethiopia, the statistical match combines the Ethiopian Socio-economic Survey-Wave 3-2015/2016 (ESS) with the Ethiopian Time Use Survey...
Persistent link: https://www.econbiz.de/10012291943
Unpaid care work amounts to an astronomical figure of 2 billion hours per day in the world of which three quarters are performed by women. This reality explains, to a large extent, the little progress that has been seen in reducing gender gaps, as far as employment, wages and use time are...
Persistent link: https://www.econbiz.de/10013357216
This paper examines the distributional effects of fiscal policy in Grenada. Using data from the 2017-2018 Living Conditions and Household Budgets Survey and following the Commitment to Equity (CEQ) analysis framework, we estimate the effects of fiscal policy interventions on inequality and...
Persistent link: https://www.econbiz.de/10014486374
This document presents a description of the quality of match of the statistical matches used in the LIMTCP estimates prepared for Ghana and Tanzania. For Ghana, the statistical match combines the Living Standards Survey Round 6 (GLSS6) with the Ghana Time Use Survey (GTUS) 2009, and for Tanzania...
Persistent link: https://www.econbiz.de/10011784663
This paper presents a description of the quality of match of the statistical matches used in the LIMTCP estimates prepared for Ethiopia and South Africa. For Ethiopia, the statistical match combines the Ethiopian Socio-economic Survey-Wave 3-2015/2016 (ESS) with the Ethiopian Time Use Survey...
Persistent link: https://www.econbiz.de/10012610198
This document presents a description of the quality of match of the statistical matches used in the LIMTCP estimates prepared for Ghana and Tanzania. For Ghana, the statistical match combines the Living Standards Survey Round 6 (GLSS6) with the Ghana Time Use Survey (GTUS) 2009, and for Tanzania...
Persistent link: https://www.econbiz.de/10011535841