| dc.description.abstract |
Despite the continuous economic growth in Tanzania, unemployment remains a persistent
challenge, making the need for further studies on the dynamics between economic growth
and unemployment. This study addresses this gap by exploring both the short-run and
long-run effects between these key macroeconomic variables. The specific objectives are
to examine the long-term impact of economic growth on unemployment, analyse the
short-run effects of growth on unemployment, and assess the influence of inflation on
unemployment. Drawing on 34 annual observations from Tanzania’s macroeconomic
data, the study utilizes the Autoregressive Distributed Lag (ARDL) model to analyse both
short-run and long-run effects, while the Error Correction Model (ECM) measures the
speed of adjustment to equilibrium after short-term fluctuations. The results show a
significant inverse long-run effect between economic growth and unemployment, with a
1% increase in economic growth leading to a 0.35% reduction in unemployment. In the
short run, however, the effect is delayed, with the effects of growth on unemployment
materializing after a lag. Additionally, the study confirms an inverse effect between
inflation and unemployment, consistent with the Phillips curve, although the impact of
inflation is relatively modest. The study recommends that policymakers focus on fostering
inclusive economic growth, particularly in labour-intensive sectors such as agriculture and
manufacturing, to reduce unemployment more effectively. Additionally, improving labour
market flexibility and addressing structural issues like skills mismatches and the large
informal sector are essential. Managing inflation at moderate levels is also recommended
to support sustainable employment growth in Tanzania. |
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