Labor flows across industries reallocate resources and diffuse knowledge among economic activities. However, surprisingly little is known about the structure of such inter-industry flows. How freely do workers switch jobs among industries? Between which pairs of industries do we observe such switches? Do different types of workers have different transition matrices? Do these matrices change over time?
Using German social security data, we generate stylized facts about inter-industry labor mobility and explore its consequences. We find that workers switch industries along tight paths that link industries in a sparse network. This labor-flow network is relatively stable over time, similar for workers in different occupations and wage categories and independent of whether workers move locally or over larger distances. When using these networks to construct inter-industry relatedness measures they prove better predictors of local industry growth rates than co-location or input-based alternatives. However, because industries that exchange much labor typically do not have correlated growth paths, the sparseness of the labor-flow network does not necessarily prevent a smooth reallocation of workers from shrinking to growing industries. To facilitate future research, the inter-industry relatedness matrices we develop are made available as an online appendix to this paper.
Is labor mobility important in technological diffusion? We address this question by asking how plants assemble their workforce if they are industry pioneers in a location. By definition, these plants cannot hire local workers with industry experience. Using German social-security data, we find that such plants recruit workers from related industries from more distant regions and local workers from less-related industries. We also show that pioneers leverage a low-cost advantage in unskilled labor to compete with plants that are located in areas where the industry is more prevalent. Finally, whereas research on German reunification has often focused on the effects of east-west migration, we show that the opposite migration facilitated the industrial diversification of eastern Germany by giving access to experienced workers from western Germany.
When the Albanian Communist regime fell in 1991-92, many Albanians saw their future outside the borders of Albania. At that time in history, no one anticipated the scale of migration that would take place in the subsequent two decades. Today, one third of Albania’s 1991 population lives abroad. Most of these migrants live and work in neighboring Greece and Italy. The third most popular destination is however the United States. Besides this new wave of migrants, the US has an old Albanian diaspora–the offspring of migrants who came to the US between the First and the Second World War. This is what mainly gives rise to the second generation Albanian-Americans.
To the best of our knowledge, there is currently no systematic documentation of the socio-demographic and economic characteristics of the Albanian community in the US. To bridge this gap, we use data from the American Community Survey 2012 and analyze these characteristics. The profiling could be of interest for anyone who focuses on the Albanians abroad – the Government’s Programs dealing with diaspora and migration issues, researchers interested in migration questions, the Albanian Community Organizations in the US or the diaspora members themselves.
We find that the first and the second generation Albanian-Americans have distinctive features. The first generation (those who arrived after the fall of Communism) is more educated than the non-Albanian Americans with comparable demographics. This is particularly true of Albanian women. The education of the second generation resembles more closely the US population with comparable demographic characteristics.
Despite the qualification advantage, first generation Albanian-Americans earn much less than non-Albanian Americans with comparable socio-demographic characteristics. We find that this is not associated with being Albanian per se but with being an immigrant more generally. The migrant-native gap narrows down with time spent in the US.
An important channel through which the current gap is maintained is qualification mismatch. We observe that first generation Albanian-Americans are over-represented in occupations requiring little skills and under-represented in occupations requiring medium and high skills, in direct contrast to them being more educated than non-Albanians.
When it comes to the earnings of second generation Albanian-Americans, the situation is more nuanced. The low skilled Albanian-Americans earn significantly more, and the highly skilled Albanian-Americans earn significantly less than the non-Albanian Americans with comparable socio-demographic characteristics. We currently do not have a straightforward explanation for this pattern.
The Albanian population in the US is highly concentrated in a few states: New York, Michigan and Massachusetts account for almost 60% of all Albanian Americans. The community in Massachusetts is the best educated; best employed and has the highest earnings among the three, but is also the oldest one in terms of demographics.
However, due to its sheer size (over 60,000 Albanian-Americans), New York is the host of most Albanians with BA degree (about 10,000). New York also hosts the largest number of high earning Albanians (about 1,800 earn at least $100,000 a year).
This survey studies the ways in which active Albanian-Americans would like to engage in the development of their home countries. Its results will help us define the focus of the upcoming events organized under the Albanian Diaspora Program.
Between March 6th and March 22nd 2015, 1,468 Albanian-Americans took part in the online survey, of which 869 completed the survey. The results presented in this report are based on the answers of the latter group. The results of this survey do not represent the opinions of the general Albanian-American community, but rather the opinions of those who are more likely to engage in an Albanian Diaspora Program.
The survey was jointly prepared with the following Albanian-American organizations: Massachusetts Albanian American Society (MAAS/BESA), Albanian American Success Stories, Albanian Professionals in Washington D.C., Albanian Professionals and Entrepreneurs Network (APEN), Albanian-American Academy, Albanian American National Organization, and VATRA Washington D.C. Chapter. The survey was sponsored by the Open Society Foundations, as a part of the grant OR2013-10995 Economic Growth in Albania granted to the Center for International Development at Harvard University.
In this document we describe the size of the Poblacion Flotante of Bogota (D.C.). The Poblacion Flotante is composed by people who live outside Bogota (D.C.), but who rely on the city for performing their job. We estimate the Poblacion Flotante impact relying on a new data source provided by telecommunications operators in Colombia, which enables us to estimate how many people commute daily from every municipality of Colombia to a specic area of Bogota (D.C.). We estimate that the size of the Poblacion Flotante could represent a 5.4% increase of Bogota (D.C.)'s population. During weekdays, the commuters tend to visit the city center more.
This paper presents a descriptive analysis of wage inequality in Colombia by cities and industries and attempts to evaluate the impact of the inequality of industries on inequality of cities. Using the 2010-2014 Colombian Social Security data, we calculate the gini coefficient for cities and industries and draw comparisons between their distributions. Our results show that while cities are unequal in similar ways, industries differ widely on how unequal they can be with ginis. Moreover, industrial structure plays a significant role to determine city inequality. Industrial framework proves to be a key element in this area for researches and policymakers.
Who introduces structural change in regional economies: Entrepreneurs or existing firms? And do local or non‐local founders of establishments create most novelty in a region? Using matched employer/employee data for the whole Swedish workforce, we determine how unrelated and therefore how novel the activities of different establishments are to a region’s industry mix. Up‐ and downsizing establishments cause large shifts in the local industry structure, but these shifts only occasionally require an expansion of local capabilities because the new activities are often related to existing local activities. Indeed, these incumbents tend to align their production with the local economy, deepening the region’s specialization. In contrast, structural change mostly originates via new establishments, especially those with non‐local roots. Moreover, although entrepreneurs start businesses more often in activities unrelated to the existing regional economy, new establishments founded by existing firms survive in such activities more often, inducing longer‐lasting changes in the region.