Characteristics and Macroeconomic Determinants of Youth Employment in Africa

By John C. Anyanwu. 2013

125 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Information Systems

View Paper: https://www.semanticscholar.org/paper/3f3dfd456a75f923d2b0d59aaec3d7e715034516

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. W. Baah-Boateng
2. Mthuli Ncube
3. Kjell Hausken
4. John C. Anyanwu
5. C. Nevo
6. Hassan Qudrat-Ullah

In Information Systems

1. W. Baah-Boateng
2. Mthuli Ncube
3. Kjell Hausken
4. John C. Anyanwu
5. C. Nevo
6. Hassan Qudrat-Ullah

Citations in the corpus

• The youth unemployment challenge in Africa: What are the drivers? (2016, background): “Using macroeconomic variables, Anyanwu (2013) established a significantly positive effect of domestic investment and real gross domestic product (GDP) on youth employment in Africa, confirming the importance of demand factors on youth unemployment.”
• Determinants of unemployment in Ghana (2013, methodology): “Anyanwu (2013) used available cross‐sectional data over a period of 1991–2009 in Africa to show an increasing effect of a nation’s domestic investment rate on youth employment and by implication a decreasing effect on youth unemployment in sub‐ Saharan Africa (SSA) with the reverse reported in North”
• Inequality, Economic Growth and Poverty in the Middle East and North Africa (MENA) (2014, background): “; Anyanwu, J.C. and Hausken, K. (2013), Inequality, Economic Growth, and Poverty in the Middle East and North Africa (MENA), Working Paper Series N° 195 African Development Bank, Tunis, Tunisia.”
• Working Paper 201 - Does Intra-African Trade Reduce Youth Unemployment in Africa ? (2014, methodology): “Based on the above review and following the frameworks posited by Kim (2010), Choudhry, Marelli and Signorelli (2012), Anyanwu (2013), and Anyanwu and Augustine (2013) the relationship that we want to estimate can be written as: )1.......(),........,.....,1;,....,1( )()()2log()log()log(intlog…”
• Gender Equality in Employment in Africa: Empirical Analysis and Policy Implications (2013, unknown): “Based on the above review and following the frameworks posited by Chen (2004), Tseloni et al. (2011), Eastin and Prakash (2013) and Anyanwu (2012, 2013), the relationship that we want to estimate can be written as: logGEit ¼ ai þ b1logðrgdpitÞ þ b2logðrgdp2itÞ þ b3ðdemocitÞ þ b4ðdemoc2itÞ þ b5ðXitÞ…”