Offshoring, Automation, Low-Skilled Immigration, and Labor Market Polarization

We show that the observed polarization of employment toward the high- and low-skill occupations disappears when only native workers are considered. Instead, low-skilled immigration explains employment growth at the low tail of the skill distribution. Moreover, while employment rose, wages remained subdued in low-skill occupations. A data-disciplined structural model accounts for this evidence: Offshoring and automation negatively affect middle-skill occupations but enhance employment and wages for the high-skilled. Low-skill employment is sheltered from offshoring and automation, as it consists of manual, non-tradable services. However, low-skilled immigration depresses low-skill wages and encourages native workers to move into skilled occupations through training. (JEL F16, J24, J31, J61, M53)

Turkish Migration Policy from the 1960s Until Today: What National Development Plans Tell Us

This paper is on migration and migration policy transition of Turkey. The focus is on the Turkish National Development Plans from the 1960s until today and the socio-political and economic context. We identify three distinct periods. The first period of the 1960s is characterized by an explicit support of out-migration to reduce population pressure and on remittances to promote economic growth. The second period from the 1970s to 2000 is marked by diaspora policies of Turkey relative to Europe, thereby acknowledging the role of the Turkish diaspora in the promotion of Turkish economic development and international relations. Since the year of 2000, Turkish migration policy turned to the promotion of highly skilled immigration, aiming at the promotion of technological progress towards a knowledge society with the support of intellectual elites. The policy transition towards the promotion of highly skilled immigration goes hand in hand with institutional and legal changes, which we specify.

A macro-level analysis of language learning and migration

This article investigates the macro-level drivers of adult-age language learning with a focus on migration based on a new dataset on German language learning in 77 countries (including Germany) for 1992–2006. Fixed-effects regressions show that language learning abroad is strongly associated with immigration from countries of the European Union and the Schengen Area whose citizens enjoy free access to Germany, while language learning in Germany is strongly associated with immigration from countries with restricted access. The different degrees of uncertainty about access to Germany seem to be of importance for preparatory language learning. To shed light on country heterogeneities, we substitute the location fixed effects with a vector of country characteristics, which include several distance measures among others, and we estimate a random-effects model. Last, we provide some tentative arguments in favour of a causal interpretation. The main results related to the role of uncertainty are mostly unaffected. The Skilled Immigration Act from 2020 removes part of this uncertainty with potential positive effects on preparatory language learning and economic and social integration.

An intersectional theoretical framework for exploring racialized older immigrant women’s subjectivities

Summary Today, racialized older women’s international migration is increasingly accelerated, cyclical and transnational, illustrating the transcendence of lives across time and space. At the same time, immigration regimes regulate and restrict these seemingly unfettered mobilities using neoliberal, gendered and ageist policies that favor (younger) skilled immigration. This article addresses the question of how social work can use intersectionality perspectives to theorize racialized older immigrant women’s lives which are stretched across multiple time(s) and space(s) yet confined within highly regulated multi-tiered immigration systems. Findings This article outlines a theoretical framework grounded specifically within intersectional feminist, post-structural, and transnational aging perspectives. The framework embraces the temporality, spatiality, and transnationality of gendered, aging and migrant lives and reconsiders their agency as a performed subjectivity bound by multiple forces of institutionalized regimes. Applications This theoretical framework moves social work inquiry to a richer understanding of the migratory realities of diverse aging lives that are simultaneously in-motion and regulated within structural constraints.

IMMIGRATION, ENDOGENOUS SKILL BIAS OF TECHNOLOGICAL CHANGE, AND WELFARE ANALYSIS

This paper investigates the long-run effects of immigration on wages and welfare in a model with endogenous technology choice (ETC) where firms are allowed to choose their optimal skill intensity from a menu of available technologies. I embed the ETC framework into the Auerbach and Kotlikoff model (1987) that features a large set of overlapping generations, a rich collection of population dynamics, and a social security system. I calibrate the model to match with the U.S. data and evaluate the effect of ETC with the help of two experiments. In the first experiment, I increase the share of high-skilled immigrants and compare the wage and welfare predictions of the model with ETC to a standard model where the skill intensities in production technology are fixed. In the standard model, since the skill intensities are constant, increase in the supply of high-skilled labor leads to a decrease in high-skilled wages and an increase in low-skilled wages. On the other hand, in the model with ETC, negative supply-side effects are counterbalanced by an increase in the intensity of the more abundant high-skilled labor, leading to a smaller decrease in their wages. The discrepancy between wage predictions of these two models is also reflected in the welfare: while the model with ETC predicts an increase in both high- and low-skilled natives’ welfare, the standard model would predict a decrease in the welfare of the high skilled and a larger increase in the welfare of the low skilled. In the second experiment, I examine the effects of an increase in low-skilled immigration and find that in this case, since the initial production technology is low-skilled intensive, the ETC effects are smaller. These results imply that if ETC is ignored, both in the short run and long run, wage and welfare analyses of immigration will be incomplete, and even misleading.

Organic and Geographical Indication Certifications’ Contributions to Employment and Education

In this paper, we test to what extent Food Quality Schemes (FQS, including Geographical Indications and organic products) contribute to the social and economic sustainability of farmers and regions through employment and education. Through employment, FQS may counter the urban migration trend affecting rural regions, and help retain economic and social capital in the local region. Indeed, as FQS are often small and specialised sectors, the economic inefficiency of such businesses may translated into greater employment and social sustainability. Separately, by requiring a higher-level of quality and hence skills, FQS may encourage greater local educational attainment or skilled immigration. To test these propositions, we analyse the employment and educational outcomes of 25 FQS. Our results show that the FQS products examined have a 13% higher labour usage (labour-to-production ratio) compared to reference products, indicating that they provide greater employment. Additionally, wage levels are 32% higher in FQS compared to references. Despite providing greater employment and higher wages, profitability of FQS (i.e. how much turnover/profit is generated per employee) is nevertheless 32% higher for FQS compared to reference products, due to the ability to attract higher product prices. Finally, there is no clear link between FQS and greater (or lower) education attainment in the supply chain. Overall, our results suggest that FQS can provide a strong contribution to local employment, employee income and business profits, strengthening the social and economic sustainability of producers and regions.