ArticleJapanese economic review (Oxford, England)2021
COVID-19 and output in Japan.
Article in Japanese economic review (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Predictive models for health outcomes due to SARS-CoV-2, including the effect of vaccination: a systematic review.Systematic reviews · 2024Pooled it
- The utility of infectious disease modelling in informing decisions for outbreak response: A scoping review.PLOS global public health · 2025Article
- COVID-19 risk perceptions in Japan: a cross-sectional study.Scientific reports · 2024Article
- Heterogeneous risk attitudes and waves of infection.PloS one · 2024Article
- Unravelling habituation for COVID-19-related information: A panel data study in Japan.PloS one · 2024Article
- Investigating the epidemiological and economic effects of a third-party certification policy for restaurants with COVID-19 prevention measures.Scientific reports · 2023Article
- Determinants of the mental health status of university students in Japan: comparison between pandemic and recession periods during the 7th wave of COVID-19.Frontiers in psychology · 2023Article
- Quantifying the impact of the Tokyo Olympics on COVID-19 cases using synthetic control methods.Journal of the Japanese and international economies · 2022Article
- Association between the Human Development Index and Confirmed COVID-19 Cases by Country.Healthcare (Basel, Switzerland) · 2022Article
- COVID-19 infection spread and human mobility.Journal of the Japanese and international economies · 2022Article
- Work-from-home productivity during the COVID-19 pandemic: Evidence from Japan.Economic inquiry · 2022Article
- Convergent movement of COVID-19 outbreak in Japan based on SIR model.Economic analysis and policy · 2022Article
- The macroeconomics of COVID-19 exit strategy: the case of Japan.Japanese economic review (Oxford, England) · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We build a tractable SIR-macro-model with time-varying parameters and use it to explore various policy questions such as when to lift the state of emergency (SOE). An earlier departure from the SOE results in smaller output loss and more deaths in the short run. However, if the SOE is lifted too early, the number of new cases will surge and another SOE may need to be issued in the future, possibly resulting in both larger output loss and more deaths. That is, the tradeoff between output and infection that exists in the short run does not necessarily exist in the long run. Our model-based analysis-updated weekly since January 2021, frequently reported by media, and presented to policymakers on many occasions-has played a unique role in the policy response to the COVID-19 crisis in Japan.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.