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Research Article

The Impact of Trade Liberalization on Income Inequality: Does the Direction of Trade Matter?

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Pages 307-338 | Received 26 Jan 2022, Accepted 17 Jul 2022, Published online: 29 Jul 2022

References

  • Anderson, E. (2005). Openness and inequality in developing countries: A review of theory and recent evidence. World Development, 33(7), 1045–1063. https://doi.org/10.1016/j.worlddev.2005.04.003
  • Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277–297. https://doi.org/10.2307/2297968
  • Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29–51. https://doi.org/10.1016/0304-4076(94)01642-D
  • Autor, D. H., Katz, L. F., & Krueger, A. B. (1998). Computing inequality: Have computers changed the labor market? The Quarterly Journal of Economics, 113(4), 1169–1213. https://doi.org/10.1162/003355398555874
  • Bardhan, P. (2005). Scarcity, conflicts, and cooperation. MIT Press.
  • Barro, R. J. (2000). Inequality and growth in a panel of countries. Journal of Economic Growth, 5(1), 5–32. https://doi.org/10.1023/A:1009850119329
  • Behar, A. (2016). The endogenous skill bias of technical change and wage inequality in developing countries. The Journal of International Trade & Economic Development, 25(8), 1101–1121. https://doi.org/10.1080/09638199.2016.1193887
  • Berman, E., Bound, J., & Griliches, Z. (1994). Changes in the demand for skilled labor within US manufacturing: Evidence from the annual survey of manufactures. The Quarterly Journal of Economics, 109(2), 367–397. https://doi.org/10.2307/2118467
  • Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. https://doi.org/10.1016/S0304-4076(98)00009-8
  • Bourguignon, F., & Morrison, C. (1990). Income distribution, development and foreign trade. European Economic Review, 34(6). https://doi.org/10.1016/0014-2921(90)90071-6
  • Bustos, P. (2011). Trade liberalization, exports, and technology upgrading: Evidence on the impact of MERCOSUR on Argentinian firms. American Economic Review, 101(1), 304–340. https://doi.org/10.1257/aer.101.1.304
  • Calderón, C., & Chong, A. (2001). External sector and income inequality in interdependent economies using a dynamic panel data approach. Economics Letters, 71(2), 225–231. https://doi.org/10.1016/S0165-1765(01)00374-3
  • Card, D., & DiNardo, J. E. (2002). Skill-biased technological change and rising wage inequality: Some problems and puzzles. Journal of Labor Economics, 20(4), 733–783. https://doi.org/10.1086/342055
  • Chao, C. C., Ee, M. S., Nguyen, X., & Yu, E. S. (2019). Trade liberalization, firm entry, and income inequality. Review of International Economics, 27(4), 1021–1039. https://doi.org/10.1111/roie.12413
  • Chen, T. J., & Tang, D. P. (1987). Comparing technical efficiency between import-substitution-oriented and export-oriented foreign firms in a developing economy. Journal of Development Economics, 26(2), 277–289. https://doi.org/10.1016/0304-3878(87)90030-7
  • Cicowiez, M., Díaz Bonilla, C., & Díaz Bonilla, E. (2010). Impacts of trade liberalization on poverty and inequality in Argentina: Policy insights from a non-parametric CGE microsimulation analysis. International Journal of Microsimulation, 3(1), 118–122.
  • Claessens, S., & Perotti, E. (2007). Finance and inequality: Channels and evidence. Journal of Comparative Economics, 35(4), 748–773. https://doi.org/10.1016/j.jce.2007.07.002
  • Clerides, S. K., Lach, S., & Tybout, J. R. (1998). Is learning by exporting important? Micro-dynamic evidence from Colombia, Mexico, and Morocco. The Quarterly Journal of Economics, 113(3), 903–947. https://doi.org/10.1162/003355398555784
  • Dabla-Norris, E., Kochhar, K., Suphaphiphat, N., Ricka, F., & Tsounta, E. (2015). Causes and consequences of income inequality: A global perspective. IMF Staff Discussion Note, SDN/15/13.
  • Dollar, D., & Kraay, A. (2002). Growth is good for the poor. Journal of Economic Growth, 7(3), 195–225. https://doi.org/10.1023/A:1020139631000
  • Driscoll, J. C., & Kraay, A. C. (1998). Consistent covariance matrix estimation with spatially dependent panel data. Review of Economics and Statistics, 80(4), 549–560. https://doi.org/10.1162/003465398557825
  • Edwards, S. (1997). Trade policy, growth, and income distribution. The American Economic Review, 87(2), 205–210.
  • Gourdon, J., Maystre, N., & De Melo, J. (2008). Openness, inequality and poverty: Endowments matter. Journal of International Trade and Economic Development, 17(3), 343–378. https://doi.org/10.1080/09638190802136978
  • Hanson, G. H., & Harrison, A. (1999). Trade liberalization and wage inequality in Mexico. ILR Review, 52(2), 271–288. https://doi.org/10.1177/001979399905200207
  • Harrison, R. (2008). Skill-based technology adoption: Firm-level evidence from Brazil and India (No. 08/03). IFS Working Papers.
  • Hur, J. J., Seo, H. J., & Lee, Y. S. (2005). Information and communication technology diffusion and skill upgrading in Korean industries. Economics of Innovation and New Technology, 14(7), 553–571. https://doi.org/10.1080/1043859042000304061
  • Jaumotte, F., Lall, S., & Papageorgiou, C. (2013). Rising income inequality: Technology, or trade and finance-ial globalization? IMF Economic Review, 61(2), 271–309. https://doi.org/10.1057/imfer.2013.7
  • Koenker, R. (2004). Quantile regression for longitudinal data. Journal of Multivariate Analysis, 91(1), 74–89. https://doi.org/10.1016/j.jmva.2004.05.006
  • Koenker, R., & Bassett, G. (1978). Regression quantiles. Econometrica: Journal of the Econometric Society, 46(1), 33–50. https://doi.org/10.2307/1913643
  • Lee, J.-W., & Wie, D. (2015). Technological change, skill demand, and wage inequality: Evidence from Indonesia. World Development, 67, 238–250. https://doi.org/10.1016/j.worlddev.2014.10.020
  • Machado, J. A., & Santos Silva, J. (2019). Quantiles via moments. Journal of Econometrics, 213(1), 145–173. https://doi.org/10.1016/j.jeconom.2019.04.009
  • Machado, J. A., & Santos Silva, J. (2021). XTQREG: Stata module to compute quantile regression with fixed effects. Statistical Software Components, S458523. Boston College Department of Economics.
  • Machin, S., & Van Reenen, J. (1998). Technology and changes in skill structure: Evidence from seven OECD countries. The Quarterly Journal of Economics, 113(4), 1215–1244. https://doi.org/10.1162/003355398555883
  • Meschi, E., & Vivarelli, M. (2009). Trade and income inequality in developing countries. World Development, 37(2), 287–302. https://doi.org/10.1016/j.worlddev.2008.06.002
  • Milanovic, B., & Squire, L. (2007). Does tariff liberalization increase wage inequality? (pp. 143–182). University of Chicago Press.
  • Nolan, B., Richiardi, M., & Valenzuela, L. (2019). The drivers of income inequality in rich countries. Journal of Economic Surveys, 33(4), 1285–1324. https://doi.org/10.1111/joes.12328
  • Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. CESifo Working Paper, No. 1229, Center for Economic Studies and ifo Institute (CESifo).
  • Pesaran, M. H. (2012). On the interpretation of panel unit root tests. Economics Letters, 116(3), 545–546. https://doi.org/10.1016/j.econlet.2012.04.049
  • Pesaran, M. H. (2015). Testing weak cross-sectional dependence in large panels. Econometric Reviews, 34(6–10), 1089–1117. https://doi.org/10.1080/07474938.2014.956623
  • Pi, J., & Zhang, P. (2018). Skill-biased technological change and wage inequality in developing countries. International Review of Economics & Finance, 56, 347–362. https://doi.org/10.1016/j.iref.2017.11.004
  • Ravallion, M. (2001). Growth, inequality and poverty: Looking beyond averages. World Development, 29(11), 1803–1815. https://doi.org/10.1016/S0305-750X(01)00072-9
  • Reuveny, R., & Li, Q. (2003). Economic openness, democracy, and income inequality: An empirical analysis. Comparative Political Studies, 36(5), 575–601. https://doi.org/10.1177/0010414003036005004
  • Robertson, R. (2000). Trade liberalization and wage inequality: Lessons from the Mexican experience. World Economy, 23(6), 827–849. https://doi.org/10.1111/1467-9701.00305
  • Rojas-Vallejos, J., & Turnovsky, S. J. (2017). Tariff reduction and income inequality: Some empirical evidence. Open Economies Review, 28(4), 603–631. https://doi.org/10.1007/s11079-017-9439-y
  • Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in stata. The Stata Journal, 9(1), 86–136. https://doi.org/10.1177/1536867X0900900106
  • Verhoogen, E. A. (2008). Trade, quality upgrading, and wage inequality in the Mexican manufacturing sector. The Quarterly Journal of Economics, 123(2), 489–530. https://doi.org/10.1162/qjec.2008.123.2.489
  • Windmeijer, F. (2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics, 126(1), 25–51. https://doi.org/10.1016/j.jeconom.2004.02.005
  • 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. https://doi.org/10.1093/wber/11.1.33
  • Wood, A. (1998). Globalization and the rise in labor market inequalities. The Economic Journal, 108(450), 1463–1482. https://doi.org/10.1111/1468-0297.00354
  • WTO. (2020). RTAs currently in force, 1948–2020. Regional Trade Agreements Database. The World Trade Organization.

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