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.

Keywords:

JEL: F14, D60, E24, E27, F16

References

Abrego, L and TH Edwards (2002). The relevance of the Stolper–Samuelson theorem to the trade and wages debate, University of Warwick. Google Scholar
Acemoglu, D (2003). Patterns of skill premia. The Review of Economic Studies, 70(2), 199–230. Crossref, Web of Science, Google Scholar
Aidt, T and Z Tzannatos (2002). Unions and collective bargaining: Economic effects in a global environment. The World Bank. Google Scholar
Akmal, MS et al. (2007). An empirical investigation of the relationship between trade liberalization and poverty reduction: A case for Pakistan. The Lahore Journal of Economics, 12(1), 99–118. Crossref, Google Scholar
Amiti, M and L Cameron (2012). Trade liberalization and the wage skill premium: Evidence from Indonesia. Journal of International Economics, 87(2), 277–287. Crossref, Web of Science, Google Scholar
Anwar, S and S Sun (2012). Trade liberalisation, market competition and wage inequality in China’s manufacturing sector. Economic Modelling, 29(4), 1268–1277. Crossref, Web of Science, Google Scholar
Arbache, JS et al. (2004). Trade liberalisation and wages in developing countries. The Economic Journal, 114(493), F73–F96. Crossref, Web of Science, Google Scholar
Atolia, M (2007). Trade liberalization and rising wage inequality in Latin America: Reconciliation with HOS theory. Journal of International Economics, 71(2), 467–494. Crossref, Web of Science, Google Scholar
Attanasio, O et al. (2004). Trade reforms and wage inequality in Colombia. Journal of Development Economics, 74(2), 331–366. Crossref, Web of Science, Google Scholar
Berman, E et al. (1998). Implications of skill-biased technological change: International evidence. The Quarterly Journal of Economics, 113(4), 1245–1279. Crossref, Web of Science, Google Scholar
Bernard, AB et al. (2007). Firms in international trade. Journal of Economic Perspectives, 21(3), 105–130. Crossref, Web of Science, Google Scholar
Beyer, H et al. (1999). Trade liberalization and wage inequality. Journal of Development Economics, 59(1), 103–123. Crossref, Web of Science, Google Scholar
Borjas, GJ et al. (1991). On the labor market effects of immigration and trade. National Bureau of Economic Research. Google Scholar
Chaudhry, IS and F Imran (2013). Does trade liberalization reduce poverty and inequality? Empirical evidence from Pakistan. Pakistan Journal of Commerce and Social Sciences, 7(3), 569–587. Google Scholar
Feenstra, RC and GH Hanson (1996). Globalization, outsourcing, and wage inequality. National Bureau of Economic Research. Google Scholar
Friedman, J et al. (2012). Openness, wage gaps and unions in Chile: A micro-econometric analysis. Policy Priorities for International Trade and Jobs, OECD Trade Policy Papers 134, OECD Publishing. Google Scholar
Galiani, S and P Sanguinetti (2003). The impact of trade liberalization on wage inequality: Evidence from Argentina. Journal of Development Economics, 72(2), 497–513. Crossref, Web of Science, Google Scholar
Ghazali, M (2011). Trade liberalization, rent sharing and wage inequality in Tunisia, 1998–2002. Economie Internationale, 125 (1), 5–39. Crossref, Google Scholar
Gottschalk, P and TM Smeeding (1997). Cross-national comparisons of earnings and income inequality. Journal of Economic Literature, 35(2), 633–687. Web of Science, Google Scholar
Günther, F and S Fritsch (2010). Neuralnet: Training of neural networks. The R Journal, 2(1), 30–38. Crossref, Web of Science, Google Scholar
Halliday, T et al. (2015). Tracking wage inequality trends with prices and different trade models: Evidence from Mexico. The World Bank. Google Scholar
Hayter, S and B Weinberg (2011). Mind the gap: Collective bargaining and wage inequality. The Role of Collective Bargaining in the Global Economy: Negotiating for Social Justice, pp. 136–186. Crossref, Google Scholar
Irfan, M (2009). Pakistan’s Wage Structure, during 1990-91–2006-07, Pakistan Institute of Development Economics (No. 2009: 54). Google Scholar
Jasiński, T (2019). Modeling electricity consumption using nighttime light images and artificial neural networks. Energy, 179, 831–842. Crossref, Web of Science, Google Scholar
Katz, LF and KM Murphy (1992). Changes in relative wages, 1963–1987: Supply and demand factors. The Quarterly Journal of Economics, 107(1), 35–78. Crossref, Web of Science, Google Scholar
Knight, J and L Song (2003). Increasing urban wage inequality in China: Extent, elements and evaluation. Economics of Transition, 11(4), 597–619. Crossref, Web of Science, Google Scholar
Krueger, AO (1978). Alternative trade strategies and employment in LDCs. The American Economic Review, 68(2), 270–274. Web of Science, Google Scholar
Larsen, J (1992). A generalization error estimate for nonlinear systems, 1992 IEEE-SP Workshop of Neural Networks for Signal Processing, IEEE. Google Scholar
Lee, S (2017). International trade and within-sector wage inequality: The case of South Korea. Journal of Asian Economics, 48, 38–47. Crossref, Web of Science, Google Scholar
MacKay, DJ (1994). Bayesian nonlinear modeling for the prediction competition. ASHRAE Transactions, 100(2), 1053–1062. Google Scholar
Mitrea, C et al. (2009). A comparison between neural networks and traditional forecasting methods: A case study. International Journal of Engineering Business Management, 1, 11. Crossref, Google Scholar
Moody, J (1994). Prediction risk and neural network architecture selection. From Statistics to Neural Networks: Theory and Pattern Recognition Applications. Springer-Verlag. Crossref, Google Scholar
Mukherjee, S (2017). Input trade reform and wage inequality. International Review of Economics and Finance, 51, 145–156. Crossref, Web of Science, Google Scholar
Murphy, K and F Welch (1989). Wage premiums for college graduates: Recent growth and possible explanations. Educational Researcher, 18(4), 17–26. Crossref, Google Scholar
Pavcnik, N (2003). What explains skill upgrading in less developed countries? Journal of Development Economics, 71(2), 311–328. Crossref, Web of Science, Google Scholar
Reinecke, G and ME Valenzuela (2011). Illustrating the gap: Collective bargaining and income distribution in Chile. The Role of Collective Bargaining in the Global Economy: Negotiating for Social Justice, pp. 187–203. Cheltenham: Edward Elgar. Crossref, Google Scholar
Revenga, A (1997). Employment and wage effects of trade liberalization: The case of Mexican manufacturing. Journal of Labor Economics, 15(S3), S20–S43. Crossref, Web of Science, Google Scholar
Robbins, DJ (1996). HOS hits facts: Facts win evidence on trade and wages in the developing world, Harvard Institute for International Development, Harvard University. Google Scholar
Schmidhuber, J (2015). Deep learning in neural networks: An overview. Neural Networks, 61, 85–117. Crossref, Web of Science, Google Scholar
Shaikh, NA (2011). Trade liberalization, poverty and welfare in Pakistan. International Institute of Development Research and Development Policy Ruhr University Bochum. Google Scholar
Siddiqui, AH and J Iqbal (2005). Impact of trade openness on output growth for Pakistan: An empirical investigation. Google Scholar
Stone, S and RC Cepeda (2011). Wage Implications of Trade Liberalisation: Evidence for Effective Policy Formation. OECD Publishing. Google Scholar
Weigend, AS et al. (1995). Nonlinear gated experts for time series: Discovering regimes and avoiding overfitting. International Journal of Neural Systems, 6(4), 373–399. Link, Web of Science, Google Scholar
Wood, A (1997). Openness and wage inequality in developing countries: The Latin American challenge to East Asian conventional wisdom. The World Bank Economic Review, 11(1), 33–57. Crossref, Web of Science, Google Scholar
Yasin, M (2007). Trade liberalization and its impact on the relative wage and employment of unskilled workers in the United States. Southwestern Economic Review, 34, 89–101. Google Scholar