Table · dataset · 2026
Paralización de obras públicas en el Perú: base longitudinal para análisis de supervivencia, 2019–2026
Listed in ZivaHub and Deakin Research Online and HKU DataHub and DaYta Ya Rona and figshare and Loughborough Research Repository and UP Research Data Repository — shown once because both records carry DOI 10.6084/m9.figshare.34029333.v1
<p dir="ltr">This dataset contains longitudinal information on public works in Peru, prepared for the analysis of time to project suspension using survival-analysis methods.
Description
The database follows public works from 2019 to 2026 and is structured to model project suspension as the event of interest, project completion as a competing event, and ongoing works as censored observations.</p><p dir="ltr">The main cohort includes 36,642 public works, of which 1,296 experienced suspension, 14,474 were completed, and 20,872 remained censored at the study cutoff.
The database includes entry and exit dates, time-at-risk variables, event indicators, project characteristics, investment costs, institutional and territorial variables, and data-quality controls.</p><p dir="ltr">The dataset also includes analytical structures for delayed entry and time-varying covariates. A separate annual panel contains lagged budget execution variables, including PIM, accrued expenditure, and execution rates, constructed to avoid information leakage.
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Additional analytical subsets are provided for works with available programmed duration and for robustness analyses.</p><p dir="ltr">Data-cleaning procedures include the identification of implausible cost ratios, inconsistent dates, missing or extreme beneficiary counts, unavailable planned durations, and variables that may only be observed after project execution begins. Original variables are preserved alongside cleaned or transformed versions.</p><p dir="ltr">The dataset was constructed from official Peruvian public investment and public works information and is intended to support reproducible research using Cox proportional hazards models, survival forests, gradient-boosting survival models, competing-risk methods, and explainable machine-learning techniques.</p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.34029333.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Applied statistics · Applied statistics · Applied statistics · Applied statistics · Applied statistics · Applied statistics · Applied statistics · Astronomy & Astrophysics · Chemistry · Chemistry · Computer Science & AI · Computer Science & AI · Computer Science & AI · Computer Science & AI · Computer Science & AI · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Engineering · Engineering · Engineering · Engineering · Engineering · Humanities · Humanities · Humanities · Humanities · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Materials Science · Mathematics & Statistics · Mathematics & Statistics · Mathematics & Statistics · Mathematics & Statistics · Mathematics & Statistics · Mathematics & Statistics · Mathematics & Statistics · Medicine & Health · Medicine & Health · Ocean & Atmospheric Science · Psychology & Behavioral Science · Public administration · Public administration · Public administration · Public administration · Public administration · Public administration · Public administration · Public policy · Public policy · Public policy · Public policy · Public policy · Public policy · Public policy · Social Science · Social Science · Social Science · Social Science · Social Science · Social Science · Social Science · Statistical data science · Statistical data science · Statistical data science · Statistical data science · Statistical data science · Statistical data science · Statistical data science
- Inferred from text
- Longitudinal study 65%
Provenance · 7 source records, 87 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34029333 | 6 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34029333 | 6 d ago | JSON v1 |
| HKU DataHub | oai:figshare.com:article/34029333 | 6 d ago | JSON v1 |
| DaYta Ya Rona | oai:figshare.com:article/34029333 | 6 d ago | JSON v1 |
| figshare | oai:figshare.com:article/34029333 | 5 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/34029333 | 5 d ago | JSON v1 |
| UP Research Data Repository | oai:figshare.com:article/34029333 | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:440708 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Public administration'] |
| concepts[field].anzsrc:field:440708 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Public administration'] |
| concepts[field].anzsrc:field:440708 | mapping · dayta nwu ac za | vocabulary-mapper@1.0.0 | keywords['Public administration'] |
| concepts[field].anzsrc:field:440708 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Public administration'] |
| concepts[field].anzsrc:field:440708 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Public administration'] |
| concepts[field].anzsrc:field:440708 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Public administration'] |
| concepts[field].anzsrc:field:440708 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Public administration'] |
| concepts[field].anzsrc:field:440709 | mapping · dayta nwu ac za | vocabulary-mapper@1.0.0 | keywords['Public policy'] |
| concepts[field].anzsrc:field:440709 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Public policy'] |
| concepts[field].anzsrc:field:440709 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Public policy'] |
| concepts[field].anzsrc:field:440709 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Public policy'] |
| concepts[field].anzsrc:field:440709 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Public policy'] |
| concepts[field].anzsrc:field:440709 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Public policy'] |
| concepts[field].anzsrc:field:440709 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Public policy'] |
| concepts[field].anzsrc:field:490501 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Applied statistics'] |
| concepts[field].anzsrc:field:490501 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Applied statistics'] |
| concepts[field].anzsrc:field:490501 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Applied statistics'] |
| concepts[field].anzsrc:field:490501 | mapping · dayta nwu ac za | vocabulary-mapper@1.0.0 | keywords['Applied statistics'] |
| concepts[field].anzsrc:field:490501 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Applied statistics'] |
| concepts[field].anzsrc:field:490501 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Applied statistics'] |
| concepts[field].anzsrc:field:490501 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Applied statistics'] |
| concepts[field].anzsrc:field:490508 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Statistical data science'] |
| concepts[field].anzsrc:field:490508 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Statistical data science'] |
| concepts[field].anzsrc:field:490508 | mapping · dayta nwu ac za | vocabulary-mapper@1.0.0 | keywords['Statistical data science'] |
| concepts[field].anzsrc:field:490508 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Statistical data science'] |
| concepts[field].anzsrc:field:490508 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Statistical data science'] |
| concepts[field].anzsrc:field:490508 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Statistical data science'] |
| concepts[field].anzsrc:field:490508 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Statistical data science'] |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:social-science | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:social-science | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |