2026-10-08T00:45:58Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34029333 2026-09-30T04:05:02Z category_27634 category_27637 category_29890 category_29869 item_type_3 month_year_09_2026

Paralización de obras públicas en el Perú: base longitudinal para análisis de supervivencia, 2019–2026 Miluska Rodriguez-Saavedra (23594950) Public administration Public policy Statistical data science Applied statistics Public Works Act competing risks models public infrastructure assets Public investments -- Georgia Project Delays <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. 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. 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> 2026-09-30T04:05:02Z Dataset Dataset 10.6084/m9.figshare.34029333.v1 https://figshare.com/articles/dataset/Paralizaci_n_de_obras_p_blicas_en_el_Per_base_longitudinal_para_an_lisis_de_supervivencia_2019_2026/34029333 CC BY 4.0