Globalization has been one of the biggest driving forces of the last half century. There has been substantial disagreement about the impact that increased international integration has on income inequality. Though most agree that globalization positively affects economic output, it is no surprise that it leads to relative winners and losers within nations. The question that remains is where in the income distribution are these relative gains and losses occurring? We offer a broader picture of globalization's effects on inequality by using a dynamic compositional approach to test the impact of globalization and relative factor endowments on the composition of income. Using data from four countries, we model the effects of globalization on quantiles of the income distribution. Our findings suggest that globalization has substantial (and divergent) effects across income strata, and that these effects differ across nations based on relative factor endowments.
Philips, Rutherford, and Whitten (2016, Stata Journal 16: 662–677) introduced dynsimpie, a command to examine dynamic compositional dependent variables. In this article, we present an update to dynsimpie and three new adofiles: cfbplot, effectsplot, and dynsimpiecoef. These updates greatly enhance the range of models that can be estimated and the ways in which model results can now be presented. The command dynsimpie has been updated so that users can obtain both prediction plots and change-from-baseline plots using postestimation commands. With the new command dynsimpiecoef, various types of coefficient plots can also be obtained. We illustrate these improvements using monthly data on support for political parties in the United Kingdom.
Objectives. In this study, we focus on how access to information empowers workers and pressures government and firms to improve labor conditions. Methods. We consider the effects of two critical mechanisms supporting both information access and flow across borders (i.e., media freedom and Internet usage) on workers' rights across countries and over time using spatial models. Results. The findings overall indicate that there is a spatial component associated with the degree of workers' rights in a given country. Further analysis reveals that this is due-at least in part-to the level of media freedom and information flow across borders. Conclusion. We find support for the theorized notion that the ability of workers to secure and exercise their rights to collective bargaining and freedom of association in the workplace depends on workers' awareness of labor conditions and the potential for improvement.
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