Linguistic Diversity and Its Impact on Economic Policies and Political Decisions

The paper addresses the issue of linguistic diversity and its impact on economic policy and political decisions. Importance of the topic is illustrated by examination of optimal sets of official languages in the European Union. It is shown that alternative estimation methods of language disenfranchisement alter the order in which the languages enter the list of the official ones. Also, we present an overview of gametheoretic models of language acquisition, where individuals weigh costs and benefits of studying new languages. These models are used to predict actual distribution of language skills in a society and to compare it with the first-best outcome. The paper ends with estimation of our predictions on the basis of empirical analysis of European data.Game theory, linguistic models, communication benefits, costs of studying, official languages of the European Union, Nash equilibrium, public efficiency

Returns to Foreign Language Skills in a Developing Country: The Case of Turkey

Foreign language skills represent a form of human capital that can be rewarded in the labor market. Drawing on data from the Adult Education Survey of 2007, this is the first study estimating returns to foreign language skills in Turkey. We contribute to the literature on the economic value of language knowledge, with a special focus on a country characterized by fast economic and social development. Although English is the most widely spoken foreign language in Turkey, we initially consider the economic value of different foreign languages among the employed males aged 25 to 65. We find positive and significant returns to proficiency in English and Russian, which increase with the level of competence. Knowledge of French and German also appears to be positively rewarded in the Turkish labor market, although their economic value seems mostly linked to an increased likelihood to hold specific occupations rather than increased earnings within occupations. Focusing on English, we also explore the heterogeneity in returns to different levels of proficiency by frequency of English use at work, birth-cohort, education, occupation and rural/urban location. The results are also robust to the endogenous specification of English language skills

"Come Together!": Interactions of Language Networks and Multilingual Communities on Twitter

Emerging tools and methodologies are providing insight into the factors that promote the propagation of information in online social networks following significant activities, such as high-profile international social or societal events. This paper presents an extensible approach for analysing how different language communities engage and interact on the social networking platform Twitter via an analysis of the Eurovision Song Contest held in Stockholm, Sweden, in May 2016. By utilising language information from user profiles (N=1,226,959) and status updates (N=7,926,746) to identify and categorise communities, our approach is able to categorise these interactions, as well as construct network graphs to provide further insight on these multilingual communities. The results show that multilingualism is positively correlated with activity whilst negatively correlated with posting in the user’s own language