This paper examines the causal impact of a large-scale Turkish language training program on the academic performance, school participation, and mental well-being of Syrian refugee children in T¨urkiye. Using rich administrative data and a staggered difference-in-differences design, we find that...

Purpose: The aim of the study is to explore the current enlargement dynamics of the European Union (EU) from the perspective of history, territory and identity. By looking at these issues in different country/case examples, the aim is to shed new light on why some enlargement processes have...

Are national borders an impediment to online collaboration in the knowledge economy? Unlike in goods trade, knowledge workers can collaborate fully virtually, such that border effects might be eliminated. Here we study collaboration patterns of some 144,000 European developers on the largest...

We conducted a controlled experiment to study how different gender frames used in the instructions affect economic behavior. In our experiment, we systematically varied the framing of the instructions, either using the male, the female, or a gender-inclusive form. Participants played three...

In this paper we deliver first causal evidence on the relationship between immigrant host country language proficiency and homeownership. Using an instrumental variable strategy, we find a substantial positive impact of language skills on the propensity to own a home and the quality of housing....

This study examines the barriers to female entrepreneurship in India's microenterprise sector through society and bureaucracy. The study uses grammatical genders in languages to capture the societal attitudes towards female entrepreneurship. Using a probit model, it was found that states where...

This paper examines the causal impact of a large-scale Turkish language training program on the academic performance, school participation, and mental well-being of Syrian refugee children in T¨urkiye. Using rich administrative data and a staggered difference-in-differences design, we find that...

Finance is still stereotypically perceived as a male domain, and social group divisions have linguistic consequences. This study examines whether language use in consumer finance exhibits gendered characteristics by identifying linguistic patterns used by non-expert women and men in this domain....

Large language models (LLMs) have altered the nature of academic writing. While the influence of LLMs on academic writing is not uncontroversial, one promise for this technology is to bridge language barriers faced by nonnative English-speaking researchers. This study empirically demonstrates...

Natural language processing (NLP) technologies, such as ChatGPT, are revolutionizing various fields, including finance research. This article explores the potential of ChatGPT as a transformative tool for finance researchers. We illustrate various applications of ChatGPT in finance research,...

Reducing energy poverty is a critical priority for policymakers in both developed and developing nations. Immigrants are often considered a high-risk group due to their heightened vulnerability. While host language proficiency has the potential to mitigate energy poverty among immigrants by...

This research explores the language features used by leading consumer brands with successful marketing in their promotional messages. Coca-Cola, McDonald's, PepsiCo, Mondelez, and Unilever were selected because they appear in Effie's Most Effective Marketers' Index and are active on a range of...

We present results from a field experiment that tests the effects of varying gender and linguistic group composition on performance and on group-members' perception that their voice is heard when completing complex collaborative work within a low scrutiny environment. We randomize individuals...

This paper examines how translating school assignment information into parents' native languages affects school choice outcomes in Bremen, a city state in Germany, where a strategyincentivizing immediate acceptance mechanism is used. While translated information was made available to...

This article develops a novel economic sentiment indicator (LLM-ESI) by applying large language models to open-ended responses from Swiss business tendency surveys. Using a BERT-based transformer model, it extracts firmlevel sentiment from free-text survey comments and aggregates it into a...