27 November 2026
Trường Đại học Ngoại ngữ - Tin học TP.HCM
Asia/Ho_Chi_Minh timezone

Who Causes Inflation? Computationally Tracing Causal Attribution in Federal Reserve, ECB, and Bank of England Speeches, 1999–2026

Not scheduled
20m
Hội trường lầu 6 (Trường Đại học Ngoại ngữ - Tin học TP.HCM)

Hội trường lầu 6

Trường Đại học Ngoại ngữ - Tin học TP.HCM

828 Sư Vạn Hạnh Quận 10 TP.HCM
Tiểu ban 4: Ứng dụng liên ngành

Description

Central-bank communication does more than signal policy stance: it also explains why inflation rises, falls, or persists. Yet computational work on central-bank text has concentrated mainly on tone, topics, uncertainty, or market-relevant news, leaving causal attribution comparatively underexamined. This study traces explicit inflation-causal constructions in a longitudinal corpus of Federal Reserve, European Central Bank (ECB), and Bank of England (BoE) speeches. The confirmatory sample contains 3,950 monologic speeches from a common Bank for International Settlements sampling frame spanning 1999 to July 2026. A transparent construction-first detector identified a broad layer of 3,807 inflation-plus-causal-cue sentences and a stricter directional layer of 2,177 sentences in which causal form and inflation expression occurred in a constrained cause–effect configuration. Negative-binomial models with token exposure, genre and period controls, and speaker-clustered standard errors show that the strongest result is temporal rather than institutional. The findings suggest that central-bank causal explanation is strongly state-responsive: when inflation becomes unusually salient or contested, policymakers devote substantially more linguistic space to causal accounts. They also show that apparent cross-institution differences are sensitive to extraction stringency.

Thông tin các tác giả

Nguyễn Thị Hồng Liên: ThS, đang công tác tại Trường Đại học Ngoại ngữ - Tin học TP. HCM, 828 Sư Vạn Hạnh, Quận 10, TP. HCM, email: liennth1@huflit.edu.vn

Từ khóa

central bank communication; inflation; causality extraction; causal attribution; computational linguistics; corpus linguistics

Author

Hồng Liên Nguyễn Thị (Ho Chi Minh City University of Foreign Languages and Information Technology (HUFLIT))

Presentation materials

There are no materials yet.