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- Title
FORECASTING WAGES INEQUALITY IN RESPONSE OF TRADE OPENNESS IN PAKISTAN: AN ARTIFICIAL NEURAL NETWORK APPROACH.
- Authors
ULLAH, IRFAN; QIAN, XUEFENG; SHAH, MUHAMMAD HAROON; REHMAN, ALAM; ALI, SHER; AHMED, ZEESHAN
- Abstract
Pakistan liberalized its trade in different regimes and the recent trade reforms is CPEC project which is expected to reduce wages inequality of skilled and unskilled labor. This study forecasts wages inequality as a result of trade openness in Pakistan by using artificial neural network approach for the period 1991–2017. The empirical outcomes revealed that trade liberalization is influential factor for reducing wages inequality in Pakistan, and the forecasting results for 2019–2026 show a dynamic trend of wages inequality in the response to trade liberalization; however, in many of the years, the positive implication has been witnessed for the inequality.
- Subjects
PAKISTAN; INCOME inequality; FREE trade; UNSKILLED labor; SKILLED labor; FORECASTING
- Publication
Singapore Economic Review, 2023, Vol 68, Issue 6, p1875
- ISSN
0217-5908
- Publication type
Academic Journal
- DOI
10.1142/S0217590820500058