Internal Research Seminars

Systematic reviews show that multinationality is measured in many ways, yet these measures are often treated as equivalent. This study conducts a systematic literature review of multinationality metrics used since the 1960s and maps their operationalizations across empirical, theoretical, and review articles. Building on and extending Vaněk’s (2024) framework, the metrics are classified by construct, dimension, indicators, segmentation, and format, revealing substantial conceptual and structural differences behind similar-looking measures. Selected metrics are then empirically compared using Taiwanese firm data to show how they lead to conflicting assessments of internationalization. The study explains why multinationality is difficult to measure consistently and offers a structured basis for selecting and interpreting metrics in future research.

This study evaluates the impact of the 2018 mandatory transition to electronic prescribing in the Czech Republic. Leveraging administrative registry data on medical prescriptions and dispensations, we analyze the reform’s influence on the spatial relationship between prescribing physicians and dispensing pharmacies-specifically focusing on changes in patient travel time. Furthermore, we examine potential heterogeneous effects across different age cohorts and regions.

TBA

Inaccurate inference about economic policy uncertainty affects international investment returns, and investment decisions made with imperfect information result in financial losses for all market participants. The classic widely used Baker et al. (2016) index of economic policy uncertainty (EPU) suffers from methodological imperfections in construction due to (1) neglecting semantics, (2) data quality fluctuations, and (3) ignoring tonality/emotion in the data. In this paper, we introduce a novel emotion-based economic policy uncertainty index that (i) improves the semantic identification of economic policy by extracting a large set of tokens from RoBERTa, (ii) uses a vast CC-News media dataset, and (iii) identifies uncertainty by a finetuned emotion recognition model.