GVC and wage dispersion. Firm-level evidence from employee?employer database
Keywords:wage inequalities, Global Value Chains, ineqrbd, regression-based decomposition
Research background: Wage inequalities are still part of an interesting policy-oriented research area. Given the developments in international trade models (heterogeneity of firms) and increasing availability of micro-level data, more and more attention is paid to wage differences observed within and be-tween firms.
Purpose of the article: The aim of the paper is to address the research gap concerning limited cross-country evidence on a nexus of wage inequality?global value chains (GVCs), analysed from the perspective of wage inequality components within and between firms.
Methods: This paper uses a large employee?employer database derived from the European Structure of Earnings Survey (SES), combined with sector-level indicators of GVC involvement based on the World Input-Output Database (WIOD). As a result, a rich database covering more than 7.5 million observations is created. The regression-based decomposition modelling technique developed by Fiorio and Jenkins (2010) is used to identify the contributions of different factors to wage inequalities, focusing on the components within and between firms.
Findings & value added: The analysis presented in this paper aimed to show the contribution of GVC involvement, among various other factors, to the observed inequality of wages. Due to the use of a rich database that merges employer and employee data, the effects materialised with respect to different types of wages could be analysed separately, in particular components between and within firms. The general conclusion from the regression-based decomposition in log wages is that GVCs contribute marginally to the observed wage inequality in the European sample analysed in this paper. Some differences confronting the components within and between firms (the latter dominates) are observed; there is also certain intra sample heterogeneity in the estimated results (e.g. due to sector type or country group), but the general result is robust.
Akerman, A., Helpman, E., Itskhoki, O., Muendler, M.-A., & Redding, S. (2013). Sources of wage inequality. American Economic Review, 103(3), 214?219. doi: 10.1257/ aer.103.3.214.
Amiti, M., & Davis, D. R. (2011). Trade, firms, and wages: theory and evidence. Review of Economic Studies, 79(1), 1?36. doi: 10.1093/restud/rdr016.
Barth, E., Bryson, A., Davis, J. C., & Freeman, R. (2016). It?s where you work: increases in the dispersion of earnings across establishments and individuals in the United States. Journal of Labor Economics, 34(S2), S67?S97. doi: 10.1086/ 684045.
Baumgarten, D., Geishecker, I., & Görg, H. (2013). Offshoring, tasks, and the skill-wage pattern. European Economic Review, 61, 132?152. doi: 10.1016/j.eu roecorev.2013.03.007.
Blau, F. D., & Kahn, L. M. (2017). The gender wage gap: extent, trends, and explanations. Journal of Economic Literature, 55(3), 789?865. doi: 10.1257/jel. 20160995.
B?ler, E. A., Smarzynska Javorcik, B., & Ulltveit-Moe, K. H. (2015). Globalization: a woman?s best friend? Exporters and the gender wage gap. CEPR Discussion Paper, DP10475.
Burstein, A., & Vogel, J. (2017). International trade, technology, and the skill premium. Journal of Political Economy, 125(5), 1356?1412. doi: 10.1086/6933 73.
Card, D., Heining, J., & Kline, P. (2013). Workplace heterogeneity and the rise of West German wage inequality. Quarterly Journal of Economics, 128(3), 967?1015. doi: 10.1093/qje/qjt006.
Chen, B. (2017). Upstreamness, exports, and wage inequality: evidence from Chinese manufacturing data. Journal of Asian Economics, 48, 66?74. doi: 10.1016/j.asieco.2016.11.003.
Coniglio, N. D., & Hoxhaj, R. (2018). Global interactions and the ?twin? gender gaps in employment and wages: evidence from Vietnam. Robert Schuman Centre for Advanced Studies Research Paper, RSCAS 2018/18. doi: 10.2139/ssr n.3161368.
Coşar, A. K., Guner, N., & Tybout, J. (2016). Firm dynamics, job turnover, and wage distributions in an open economy. American Economic Review, 106(3), 625?663. doi: 10.1257/aer.20110457.
Ebenstein, A., Harrison, A., McMillan, M., & Phillips, S. (2014). Estimating the impact of trade and offshoring on American workers using the current population surveys. Review of Economics and Statistics, 96(4), 581?595. doi: 10.1162/REST.
Egger, H., & Kreickemeier, U. (2009). Firm heterogeneity and the labor market effects of trade liberalization. International Economic Review, 50(1), 187?216. doi: 10.1111/j.1468-2354.2008.00527.x.
Faggio, G., Salvanes, K. G., & Reenen, J. Van. (2010). The evolution of inequality in productivity and wages: panel data evidence. Industrial and Corporate Change, 19(6), 1919?1951. doi: 10.1093/icc/dtq058.
Feenstra, R. C., & Hanson, G. H. (1999). The impact of outsourcing and high-technology capital on wages: estimates for the United States, 1979?1990. Quarterly Journal of Economics, 114(3), 907?940. doi: 10.1162/00335539955 6179.
Fields, G. S. (2003), Accounting for income inequality and its change: a new method, with application to the distribution of earnings in the United States. In S. W. Polachek (Ed.). Worker well-being and public policy (Research in labor economics, vol. 22). Bingley: Emerald Group Publishing Limited. 1?38. doi: 10.1016/S0147-9121(03)22001-X.
Fiorio, C., & Jenkins, S. (2010). INEQRBD: stata module to calculate regression-based inequality decomposition. Statistical Software Components S456960, Boston College Department of Economics.
Ge, Y., Fang, T., & Jiang, Y. (2019). Access to imported intermediates and intra ? firm wage inequality. World Economy, 42, 2364?2384. doi: 10.1111/twec.12 793.
Gereffi, G., & Fernandez-Stark, K. (2016). Global value chain analysis: a primer. Duke Center on Globalization, Governance & Competitiveness. Retrieved from https://dukespace.lib.duke.edu/dspace/bitstream/handle/10161/12488/2016-07-28.
Helpman, E., Itskhoki, O., & Redding, S. (2010). Inequality and unemployment in a global economy. Econometrica, 78(4), 1239?1283. doi: 10.3982/ECTA8640.
Helpman, E., Itskhoki, O., Muendler, M.-A., & Redding, S. J. (2017). Trade and inequality: from theory to estimation. Review of Economic Studies, 84(1), 357?405. doi: 10.1093/restud/rdw025.
Juhn, C., Ujhelyi, G., & Villegas-Sanchez, C. (2014). Men, women, and machines: how trade impacts gender inequality. Journal of Development Economics, 106, 179?193. doi: 10.1016/j.jdeveco.2013.09.009.
Kelly, T., Liaplina, A., Tan, S. W., & Winkler, H. (2017). Reaping digital dividends: leveraging the internet for development in Europe and Central Asia. World Bank Group. doi.org/10.1596/978-1-4648-1025-1.
Koopman, R., Wang, Z., & Wei, S. J. (2014). Tracing value-added and double counting in gross exports. American Economic Review, 104(2), 459?94. doi: 10.1257/aer.104.2.459.
Koymen-Ozer, S. (2020). Wage inequality, skill-specific unemployment and trade liberalization. Canadian Journal of Economics, 53(3), 1016?1058. doi: 10.1111 /caje.12453.
Lee, E., & Yi, K.-M. (2018). Global value chains and inequality with endogenous labor supply. Journal of International Economics, 115, 223?241. doi: 10.1016/ j.jinteco.2018.09.006.
Magda, I., Gromadzki, J., & Moriconi, S. (2020). Firms and wage inequality in Central and Eastern Europe. Journal of Comparative Economics. Advance online pupblication. doi: 10.1016/ j.jce.2020.08.002.
Melitz, M. J. (2003). The impact of trade on intra?industry reallocations and aggregate industry productivity. Econometrica, 71(6), 1695?1725. doi: 10.1111 /1468-0262.00467.
Nikulin, D., & Wolszczak-Derlacz, J. (2019). GVC involvement and the gender wage gap: micro - evidence for European countries. GUT FME Working Papers Series A, 5/2019(57).
Parteka, A., & Wolszczak-Derlacz, J. (2019). Global value chains and wages: international evidence from linked worker-industry data. Open Economies Review, 30(3), 505?539. doi: 10.1007/s11079-018-9518-8.
Robertson, R., Lopez-Acevedo, G., & Savchenko, Y. (2020). Globalisation and the gender earnings gap: evidence from Sri Lanka and Cambodia. Journal of Development Studies, 56(2), 295?313. doi: 10.1080/00220388.2019.1573986.
Sampson, T. (2014). Selection into trade and wage inequality. American Economic Journal: Microeconomics, 6(3), 157?202. doi: 10.1257/mic.6.3.157.
Song, J., Price, D. J., Guvenen, F., Bloom, N., & von Wachter, T. (2019). Firming up inequality. Quarterly Journal of Economics, 134(1), 1?50. doi: 10.1093/qje/ qjy025.Advance.
Timmer, M. P., Dietzenbacher, E., Los, B., Stehrer, R., & De Vries, G. J. (2015). An illustrated user guide to the world input?output database: the case of global automotive production. Review of International Economics, 23(3), 575?605. doi: 10.1111/roie.12178.
Wang, W., Thangavelu, S., & Lin, F. (2021). Global value chains, firms, and wage inequality: evidence from China. China Economic Review, 66, 101585. doi: 10.1016/j.chieco.2021.101585.
Yasar, M., & Rejesus, R. M. (2020). International linkages, technology transfer, and the skilled labor wage share: evidence from plant-level data in Indonesia. World Development, 128, 104847. doi.org/10.1016/j.worlddev.2019.104847.
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