A good read for all those interested in understanding the extent to which the relationship between the changing nature of work and income inequality is influenced by national labor market institutions.
Recent work in comparative political economy has found that labour market institutions can mitigate the inequality-enhancing effects of the transition to the knowledge economy (Hope and Martelli 2019). While this work enhances our understanding of the role and importance of labour market institutions in the post-industrial era, it cannot tell us much about the underlying mechanisms. This paper aims to fill that gap in the literature by undertaking a micro-level econometric study on Denmark using a unique longitudinal dataset with linked employer-employee data, the Integrated Database for Labour Market Research (IDA). The central analysis in the paper will explore the influence of union membership and collective bargaining on within and between firm inequality in knowledge-intensive sectors. It will also test competing hypotheses as to why labour market institutions have been able to damp down the effects of the transition to the knowledge economy on income inequality.
A couple of takeaways
The transition to the knowledge economy began in earnest after the crisis of Fordism in the 1970s. Figure 1 (below) shows the employment expansion in knowledge-intensive service sectors, such as finance, insurance, business services, and telecommunications, between 1970 and 2006. Growth of knowledge employment was ubiquitous in the advanced democracies over this period; the average employment expansion was close to nine percentage points. The rise of the knowledge economy is clearly demonstrated by this substantial shift in economic structure away from traditional industries and toward ICT-intensive service sectors.
Figure 2 (below) shows that for the income share of the top 1 percent, an increase in knowledge employment is associated with an increase in inequality when wage coordination and collective bargaining coverage are very weak, but has little or no effect when they’re at their highest levels.
Book chapter by Daniele Alimonti ’16 (Economics of Public Policy)
While working as a research assistant at the Barcelona GSE, Daniele Alimonti ’16 (Economics of Public Policy) co-authored this chapter of the book “Green Public Procurement Strategies for Environmental Sustainability” curated by Rajesh Kumar Shakya (The World Bank, USA) and published by IGI Global. His co-authors are professors and researchers from Tor Vergata University in Rome, Italy.
Daniele shares this summary of the article:
The article aims to highlight the advantages of Green Public Procurement (GPP) practices to address the environmental and economic problems during the different stages of the tendering procedure. Laying on the experiences of the European countries, the research has the objective to reconstruct the state of the art of green public procurement through the lens of a cross-country comparative analysis. After introducing a systematic review of the literature and the core regulations of the GPP practice, the article underlines the results of a multidimensional analysis on a cluster of 80 practices, identified by the European Union and implemented by governments in 25 countries at a central, regional, or local government level. The framework of the analysis builds on several dimensions, mapping the main results on the following levels: geographic origin, government level, implementation period, main criteria used for implementation, as well as environmental and economic impact of such practices.
This paper studies the differential persistent effects of initial economic conditions for labor market entrants in the United States from 1976 to 2015 by education, gender, and race using labor force survey data. We find persistent earnings and wage reductions, especially for less advantaged entrants, that increases in government support only partly offset. We confirm that the results are unaffected by selective migration and labor market entry by also using a double-weighted average unemployment rate at labor market entry for each birth cohort and state-of-birth cell based on average state migration rates and average cohort education rates from census data.
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