<abstract xmlns="http://www.w3.org/1999/xhtml"><bold>Research background:</bold> Poverty, unemployment, literacy and per capita income are intertwined. However, there seems to be a disconnect between literacy and good living in Nigeria.<bold>Purpose:</bold> This study investigated the dynamic relationship between poverty, unemployment, literacy and per capita income in Nigeria by examining the impact, shocks and responses among these identified variables.<bold>Research methodology:</bold> The secondary data on poverty, unemployment and literacy rates were extracted from the National Bureau of Statistics and per capita income was extracted from the World Bank Annual Report. A vector autoregressive (VAR) model of lag order (4) was adopted for the study.<bold>Results:</bold> The results revealed that poverty rate is an increasing function of unemployment rate and literacy rate and a reducing function of per capita income. The results further showed that dynamics of poverty is affected by shocks in unemployment rate, literacy rate and per capita income.<bold>Novelty:</bold> Therefore, the study concluded that literacy rate fails as a vital tool for poverty reduction and that the high rate of unemployment results in chronic poverty. The application of VAR to untangle the interrelationship among the variables, without doubt, adds to the literature on the uses of the VAR model.</abstract>

Research background: Poverty, unemployment, literacy and per capita income are intertwined. However, there seems to be a disconnect between literacy and good living in Nigeria.Purpose: This study investigated the dynamic relationship between poverty, unemployment, literacy and per capita income in Nigeria by examining the impact, shocks and responses among these identified variables.Research methodology: The secondary data on poverty, unemployment and literacy rates were extracted from the National Bureau of Statistics and per capita income was extracted from the World Bank Annual Report. A vector autoregressive (VAR) model of lag order (4) was adopted for the study.Results: The results revealed that poverty rate is an increasing function of unemployment rate and literacy rate and a reducing function of per capita income. The results further showed that dynamics of poverty is affected by shocks in unemployment rate, literacy rate and per capita income.Novelty: Therefore, the study concluded that literacy rate fails as a vital tool for poverty reduction and that the high rate of unemployment results in chronic poverty. The application of VAR to untangle the interrelationship among the variables, without doubt, adds to the literature on the uses of the VAR model.

Var Modelling of Dynamics of Poverty, Unemployment, Literacy and Per Capita Income in Nigeria

Faculty of Management Sciences, Department of Finance

Faculty of Physical Sciences, Department of Statistics

Folia Oeconomica Stetinensia

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Research background: Poverty, unemployment, literacy and per capita income are intertwined. However, there seems to be a disconnect between literacy and good...

Var Modelling of Dynamics of Poverty, Unemployment, Literacy and Per Capita Income in Nigeria

Publié en ligne: 06 août 2019

Pages: 73 - 88

Reçu: 24 mars 2018

Accepté: 20 avr. 2019

DOI: https://doi.org/10.2478/foli-2019-0006

Mots clés
VAR, Poverty, Unemployment, Illiteracy, per capital income

© 2019 Adefemi Alamu Obalade et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Var Modelling of Dynamics of Poverty, Unemployment, Literacy and Per Capita Income in Nigeria

Publié en ligne: 06 août 2019

Pages: 73 - 88

Reçu: 24 mars 2018

Accepté: 20 avr. 2019

DOI: https://doi.org/10.2478/foli-2019-0006

Mots clésVAR, Poverty, Unemployment, Illiteracy, per capital income

© 2019 Adefemi Alamu Obalade et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
VAR, Poverty, Unemployment, Illiteracy, per capital income