Socio economic impact of ebola virus disease in west

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SOCIO-ECONOMIC IMPACT OF EBOLA VIRUS DISEASE IN WEST AFRICAN COUNTRIES
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91 The informal sector Production function. Production in the informal sector uses labour and capital with a Cobb-Douglas technology specification. Y It = α I γ I t ( ρ t L It ) βI K It 1–β I (16) Where: ρ t = 65 i=1 ρ i (1– za it ) (17) The informal sector is assumed to be more labour-intensive that the formal sector (β I > β F ). The behaviour of informal firms is different from the formal sector. It is assumed that total income is divided among all informal sector workers. Hence, each worker receives: y It = Y It L It = α I γ I t ρ t βI ( K It L It ) 1–β I (18) This assumption is made since a large share of informal production is produced by family enterprises whose family members share household output. Capital accumulation In an epidemic situation, the government will increase medical expenditures by cutting domestic savings or by receiving other financial support. Total domestic savings in year t , S t , and the capital accumulation K t have the following expressions: S t = sY t xH t and K t = (s + s*) Y t xH t + (1– θ ) K t–1 (19) Where: s is the domestic savings rate in an Ebola-free situation, H t is the total annual cost needed to treat Ebola, x is the fraction of H t financed out of saving and θ is the depreciation rate. SOCIO-ECONOMIC IMPACT OF EBOLA VIRUS DISEASE IN WEST AFRICAN COUNTRIES
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92 Annex 6: Distribution of Ebola virus disease prevalence probability for West Africa countries, 2013-2017 SOCIO-ECONOMIC IMPACT OF EBOLA VIRUS DISEASE IN WEST AFRICAN COUNTRIES
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93 Annex 6: Distribution of Ebola virus disease prevalence probability for West Africa countries, 2013-2017 (cont.) SOCIO-ECONOMIC IMPACT OF EBOLA VIRUS DISEASE IN WEST AFRICAN COUNTRIES
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94 Annex 7: Macro model estimation results Dependent variables: GDP per capita, US$ constant price No Ebola Low Ebola High Ebola L.(GDP per capita) L 2 .(GDP per capita) Log (total labour force) Education Openness Account balance as % of GDP 0.824*** (6.396) 0.173 (1.441) -19.67 (-0.738) 1.602* (1.688) 0.965 (0.847) 1.330 (1.078) 0.867*** (6.650) 0.199* (1.797) -18.04 (-1.234) 0.0776 (0.0591) -0.711 (-0.395) 1.086 (1.240) 0.854*** (8.933) 0.225*** (2.662) -14.09 (-0.980) 0.122 (0.113) -0.658 (-0.466) 0.854 (1.166) Low Ebola Log (Low Ebola probability) Log (Openness*(Low Ebola probability) Log (High Ebola probability) Log (Openness*(High Ebola probability) The three epicentre countries -50.73 (-0.398) 51.38 (0.407) -42.14 (-0.867) -40.67 (-0.428) 40.92 (0.433) -33.51 (-0.691) Constant 215.5 (0.500) 120.5 (0.219) 80.58 (0.196) Observations Group minimum Group maximum Group average chi2 pvalue AR(1) AR(2) 33 1 6 2.538 4.051 -1.097 0.902 33 1 6 2.538 22.773 -1.176 0.890 33 1 6 2.538 21.430 -1.285 0.868 z-statistics in parentheses *** p<0.01, ** p<0.05, * p<0.1 SOCIO-ECONOMIC IMPACT OF EBOLA VIRUS DISEASE IN WEST AFRICAN COUNTRIES
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95 Annex 8: United Nations Development Group – Western and Central Africa (UNDG-WCA) Regional Directors Team (RDT) Agency Full Name Title or Designation Programme (UNDP), Chair Abdoulaye Mar Dieye RBA Director and RDT Chair United Nations Population Funds (UNFPA) Mr. Benoit Kalasa Regional Director United Nations Children Funds (UNICEF) Mr. Manuel Fontaine Regional Director World Food Programme (WFP) Ms. Denise Brown Regional Director International Labor Organization (ILO) Mr. Aeneas Chapinga Chuma Regional Director Mr. François Murangira Director, Sahel Region & West Africa Vacant Director for Central Africa Joint United Nations Programme Against HIV/AIDS (UNAIDS) Dr. Mamadou Diallo Regional Director
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  • Fall '19
  • West Africa

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