Unemployment and Economic Growth in Nigeria in the 21st Century: VAR Approach

Authors: Olawunmi Omitogun1, Adedayo Emmanuel Longe

Abstract: This study investigates the impact of unemployment on economic growth in Nigeria in the 21st century using a Vector Autoregressive (VAR) approach using secondary data spanning from 1986 to 2015. It aims at examining the dynamic effect of unemployment on growth in the context of Nigeria using the VAR approach to analyse the variations. Different methods such as the Augmented Dickey-Fuller (ADF) test, Johansen cointegration test, VAR model, impulse response test and variance decomposition test were employed to analyse the data. It was observed that the impact of unemployment vary over time as an effort towards eradicating it is been made by the government in the country. The implication of the study is to inform researchers on the VAR model as an appropriate approach for dynamic analysis, to urge academicians to be more informative on the dynamic effects of unemployment in the economy, and to provide guidance to the government on the appropriate policy to adopt to tackle the issue of unemployment and inflation in the country. This study recommends an increase in government expenditure towards the enhancement of individual skills to reduce unemployment and inflation.

Keywords: unemployment; inflation; economic growth

JEL Classification: E24

1. Introduction

Unemployment and rising inflation are some of the major problems currently being faced in the 21st century and the Nigerian government is not an exemption. Unemployment is a situation whereby people who are physically fit, capable, qualified and ready to work at any time are without jobs. The issue of unemployment is one of the macroeconomic problems of a nation. Currently, in developing countries, the problem of unemployment has been increasing as a result of different economic problems facing most countries. The issue of unemployment in Nigeria is highly different compared to other nations. This is due to a high level of corruption, mismanagement of public funds, among others over the years. Feridun and Akindele (2006) identified unemployment as one of the major challenges confronting the Nigerian economy. The social impacts of unemployment are less prevalent in economies that can support the unemployed class with subsidies and social security allowances. Udabah (1999) noted that the main reason for the low standard of living in underdeveloped countries is the relative inadequate and inefficient utilization of labour compared with advanced nations. Fadayomi (1992), Osinubi (2006), argued that unemployment is a result of the inability to develop and utilize the nations manpower resources effectively especially in the rural sector.

Interestingly, every government regime comes with its economic growth increase strategy, but none has been able to achieve the desired goal. Since the continuous increase in population began, developing nations have been characterized by unemployment. The issue of unemployment brought about some social and economic consequences such as; increase in crime rate, loss of respect and identity, reduction in purchasing power, psychological injuries, corruption among others. Muhammad, Inuwa, and Oye (2011) submitted that unemployment constitutes a series of serious development problems and is increasingly more serious all over Nigeria. Alanana (2003) argued that unemployment is potentially dangerous as it sends disturbing signals to all segments of the economy.

Since the change in governance from military to democratic rule of government in 1999, the major policy of the government and international agencies is>st century, in other to devoid the country of more dangerous acts than existing ones. Various programmes such as the Youth Empowerment Programme (YEP) and National Economic Empowerment Programmes (NEED) were established to reduce the rate of unemployment in the country, but the issue of unemployment remains unchanged as observed in studies such as Ejiekeme (2014) in the 21st century. This study, therefore, investigates the extent to which unemployment has impacted economic growth in Nigeria in the 21st century.

The rest of this paper is divided into four sections. Section two contains the literature review. The source of data and methodology is presented in section three. Section four holds the results, while section five is devoted to the conclusion and recommendations.

2. Literature Review

The Marxist theory noted that unemployment is a result of an unstable capitalist system via which the unemployment rate perpetuates causing labourers to settle for fair wages. They argued that to eliminate unemployment, capitalism must be abolished completely, replacing it with socialism. The Keynesian economist holds that increased unemployment is a result of a fall in the aggregate demand in an economy. Phillips (1958) in his study on unemployment and the rate of money wage in the British economy noted that an increase in unemployment in the economy causes inflation to drop which he referred to as a trade-off between the variables. He concluded that as the employment level increases, inflation rises, but as unemployment increases, inflation falls as the purchasing power of the economy becomes weaker. Okun (1962) propounded that as unemployment falls by 1%, gross domestic product increase by 3%, but this was criticized because it holds for the United States only. Terry (1998) noted in his theory “Search Theory of Unemployment” that as an individual is searching for a job, firms are also searching to fill a vacant space. He concluded that wages, therefore, decide for both the individual and the firm.

Bhattarai (2016) examined the relationship between inflation and unemployment in 35OECD countries using a panel VAR model to analyse the quarterly data used from 1990:1 to 2014:4. He submitted that Phillip’s curve is still significant in 28 out 35 OECD countries and the coefficients of the Okun curve for growth on unemployment were significant only in 13 of these countries. He concluded that as the natural rate of unemployment results from the balance between job creation and destruction processes, reductions in unemployment rates require complementing macro stimulations by microeconomic structural and institutional reforms.

Sadiku, Ibraimi & Sadiku (2015) empirically examined unemployment relation with growth in FYR Macedonia using the VAR approach with quarterly based data from 2000-2012. It was observed that no negative relationship between unemployment and economic growth as propounded by Okun’s Law and also no direction of causality between unemployment and economic growth.

Abdul-Khaliq, Soufan, & Shihab (2014) investigated the relationship between economic growth and unemployment rate in Arab countries between 1994 and 2010 adopting the Pooled EGLS (Cross-section SUR). It was found that economic growth had a negative and significant impact on the unemployment rate, which implies that a 1% increase in economic growth will decrease the unemployment rate by 0.16%.

Amassoma and Nwosu (2013) examined the impact of unemployment on productivity growth in Nigeria using an error correction modelling approach and co-integration technique to analyse the data used from 1986 to 2010. The regression estimate based on the short-run and long-run models showed that the unemployment rate had an insignificant influence on productivity growth in Nigeria over the study period.

Ozei, Sezgin, and Topkaya (2013) investigated the relationship between economic growth and unemployment relationship in seven industrialized countries (G7) countries. Panel regression analysis was used to analyse data from 2000-2011. The results of the study revealed that while the productivity and economic growth variables have significant and strong effects on the reduction of unemployment in a three-crisis period, this effect of productivity becomes insignificant and small after the crisis whereas the effect of economic growth as a decreasing effect over unemployment continues and its impact level rises.

Muhammad, Inuwa, and Oye (2011) examined the implication of unemployment on the gross domestic product in Nigeria over nine years (2000-2008) using regression analysis. Findings showed that unemployment has an enormous effect (over 65%) on the making of the Nigerian GDP and there exists an inverse relationship between unemployment and gross domestic product, which implies that as unemployment increases, the gross domestic product falls.

Ejikeme (2014) assessed the link unemployment and poverty has on security in Nigeria. His study underscores that unemployment and poverty are universal phenomena, and not necessarily a peculiar characteristic of any particular segment of society. The research revealed that unemployment and poverty have direct links to security challenges in Nigeria.

Holden and Sparman (2013) examined the effect of government purchases on unemployment in 20 OECD countries for the period 1980 to 2007. They observed that a one per cent increase in government purchases of GDP reduced unemployment by about 0.3 per cent in the same year. The effect was observed to be greater in downturns than in booms, and also under a fixed exchange rate regime than a floating regime.

Akeju and Olanipekun (2014) validated Okun’s law in Nigeria using the Error Correction Method and Johansen cointegration technique. The findings showed that there is both a short and long-run relationship between the unemployment rate and output growth in Nigeria. Hence, there is a need to incorporate fiscal measures and increase the attraction of foreign direct investment (FDI) to reduce the high rate of unemployment in the country.

Onwanchukwu (2015) examined the impact of unemployment on the economic growth in Nigeria from 1985 to 2010, using the ordinary least squares regression technique. His findings revealed that unemployment does not have a significant impact on the economic growth of Nigeria. Inflation, however, was found to significantly impact the economic growth of Nigeria.

Muhammad (2014) studied the effect of inflation and unemployment on the growth of Pakistan from 1980 to 2010 using the Autoregressive distributed lag. He first noted that the inflation effect varies from economy to economy, but most of the studies indicate that there is a positive> The result showed that there is a long-run relationship between the variables. Furthermore, the results of White’s Heteroskedasticity, Ramsey reset and Breusch-Godfrey Serial Correlation LM test shows that there is no problem of heteroskedasticity, misspecification of model and serial correlation respectively. It was recommended that self-employment/entrepreneurship should be encouraged to overcome unemployment.

Madito and Khumalo (2014) examined the unemployment nexus in South Africa from 1971Q1 to 2013Q4 using the Error correction mechanism as a result of the dynamic inter-relationship between the variables used to check the speed of adjustment of economic growth to the unemployment crisis. It was observed that about 62 per cent of economic growth is corrected each quarter. The overall results showed that there is a negative relationship between economic growth and unemployment in South Africa.

Taylan (2012) investigated the>positive shocks to growth, growth in export and inflation reduced unemployment. Also, shocks to the exchange rate, interbank interest rate and money supply increased unemployment. The conformity of the results is found to go in line with the Phillips curve and Okun’s Law suggestion. Namely, the negative relationship between output and unemployment and the positive relationship between unemployment and inflation.

Babalola, Saka and Adenuga (2013) validate Okun’s law in Nigeria using a different approach of the VAR Cointegration to compare the two models (Short-run and Long-run) from 1980-2012. It was observed that the unemployment rate as an independent variable was positive and also positive for real GDP growth as an independent variable. These findings are contrary to Okun’s law of unemployment–output relationship.

Ekrame, Dramane, and Christophe (2012) investigated the relationship between Immigration, Growth and Unemployment in 22 OECD countries using the panel VAR technique to analyse data spanning from 1987 to 2009. Their result provided evidence that migration contributed to host economic prosperity (positive impact on GDP per capita and negative impact on aggregate unemployment, native and foreign-born unemployment rates). It was also found out that migration is influenced by host economic conditions (migration responds positively to host GDP per capita and negatively to host total unemployment rate).

Imran and Iba (2014) examine the>From their findings, it was revealed that the variables have more variance contribution to themselves when compared to other variables in the system. Inflation rate contributed to unemployment variance more as compared to economic growth, unemployment contributes more to economic growth as compared to inflation and unemployment rate has also more variance contribution to inflation as compared to economic growth. In other words, the unemployment rate has more variance contribution in both inflation and economic growth rate.

3. Data Source and Methodology

Data is sourced from the World Development Indicators (2015) edition. The> The VAR model is employed to analyse the> Ekrame, Dramane, and Christophe (2012) and Babalola, Saka & Adenuga (2013) to compare two models (short-run and long-run model of their study). In line with these studies, the model for this study is adapted and presented below;

Xt = Γo + Γ(L)Y+ Zt t; where Xt =  

Xit is a 5×1 vector matrix of the endogenous variables (GDP, UNEMP, INFLR, EXR, and GEXP). GDP represents gross domestic product annual growth rate, UNEMP represents unemployment rate, INFLR represents inflation rate, EXR denotes exchange rate, and GEXP denotes government expenditure. Γ(L)Yt is a matrix polynomial in the lag operator with Γ(L) = Γ1L1 + Γ2L2 + … + ΓpLp, Zt is a vector of country-specific effects and  t is a vector of> The study adopts the impulse response to capture the reactions of one variable in the system to another. The model specification holds that unemployment, inflation rate, exchange rate, and government which are some of the major macroeconomic variables are strong determinants of the country’s growth. The study at first subjected all the variables to a unit root test to avoid a spurious result. The unit root test tests whether a time series variable is non-stationary and possesses a unit root. The null hypothesis is generally defined as the presence of a unit root and the alternative hypothesis is either stationary, trend stationary or explosive root depending on the test used. Afterwards, we went forward to test for the long-run co-movement using the Johansen Cointegration technique. Cointegration means that, while many developments can cause permanent changes in the individual variable, there is some long-run equilibrium relation tying the individual variables together, represented by some linear combination of them.

4. Results

4.1. Unit Root Test

The result of the unit root showed that all the variables are stationary at the first difference at none and trend and intercept at 1%, 5% and 10% respectively. This implies that there exists a unit root among the variables. The Johansen cointegration test is therefore carried out to test if a long-run co-movement relationship exists among the variables. The unit root result is presented below in table 1.

4.2. Johansen Co-integration Test

4.2.1. Co-integration Result

The Johansen co-integration test result revealed that the trace and maxi-eigenvalue has one co-integrating factor, which necessitates the conclusion that a long-run co-movement relationship exists among the variables employed in this study. That is, there is a long-run relationship between GDP and unemployment, inflation rate, exchange rate, and government expenditure. These variables affect the GDP of the country through the macroeconomic systems. The result is presented below in table 2.

4.3. Selection of Optimal Lag

To carry out vector autoregression estimation, the choice of lag length is vital. There are various lag length criteria, among them are; Sequential modified LR test statistic with each test at 5%, the final prediction error (FPE), Akaike information criterion (AIC), Schwarz information criterion (SC) and the Hannan-Quinn information criterion (HQ). However, each of these has different penalty factors. For this study, we, therefore, limit the selection to the Akaike information criterion (AIC) and Schwarz information criterion (SC). The Akaike Information Criterion (AIC) and Scharwz Information Criterion are employed because according to Yahaya, Salisu and Umar (2015) they are the most popular used selection criteria for models. From the result, the two criteria revealed 4 optimal numbers of lag to be used for the VAR analysis. The result is presented below in table 3.

4.4. VAR Test Estimates

From the result below in table 4, it was revealed that unemployment in the 1st, 3rd and 4th period has a positive impact on the growth of the economy, but negative in the 3rd period. The inflation rate throughout the periods has a positive and significant impact on the growth of the economy. The exchange rate has a positive impact in the 1st and 4th periods and a negative in the 2nd and 3rd periods. Government expenditure has a similar impact related to that of exchange rate on the growth of the economy as it positively relates to growth in the 1st and 4th period and negatively in the 2nd and 3rd period.

4.5. Impulse Response Test

The impulse test revealed that the GDP of the economy respond positively to itself throughout the periods. Between the 1st and 3rd periods, the GDP response to unemployment was positive, from the 4th to 7th period, there was a negative response to unemployment, and from the 8th to 10th period, there was a positive response. GDP response to inflation rate was positive till the 7th period before it responds negatively from the 8th to 10th period. Between 1st and 4th, 8th and 10th, GDP positively responds to Exchange rate but negatively relate in the 6th and 7th period. However, there is a dichotomy response of GDP to government pattern of expenditure as the positive and negative respond has a flattened shape. The result is presented below in Figure 1.


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