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Record W7124165227 · doi:10.1093/wber/lhaf038

Firm Exit and Suspension in Developing Countries: Evidence from a Household Business Tax Census in Vietnam

2025· article· en· W7124165227 on OpenAlex
Ergys Islamaj, Duong Trung Le, Thanh Minh Pham

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe World Bank Economic Review · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCOVID-19 Pandemic Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsStylized factContext (archaeology)Developing countryMargin (machine learning)CensusExploitQuarter (Canadian coin)Payment

Abstract

fetched live from OpenAlex

Abstract This paper studies the survival dynamics of household businesses in a developing country context using a high-frequency database of tax-registered firms in Vietnam. We document new stylized facts on firm turnover by distinguishing between permanent closures (exit) and temporary suspensions of operations—an important, yet often overlooked, margin of adjustment. While annual permanent closure rates for tax-registered household businesses are relatively low at 4–5 percent, temporary suspensions are far more prevalent: approximately a quarter of firms suspend operations each year, with an average duration exceeding 2.5 months. Suspension filings display strong seasonal patterns and serve as leading indicators of eventual exit. We exploit the COVID-19 pandemic as a quasi-natural experiment to show that household businesses suspend operations to cope with unanticipated shocks, and document sharp but short-lived increases in suspensions, particularly in services and occupations requiring high levels of face-to-face interaction. The findings highlight the importance of incorporating temporary suspensions into firm dynamics analyses and underscore the value of tax-based administrative data to study small business behavior in developing economies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.571
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.079
GPT teacher head0.296
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it