<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Procesamiento gran Encuesta Integrada de Hogares a nivel departamental para 2019 del DANE</titl><IDNo agency="DOI">doi:10.34848/FK2/W03XWG</IDNo></titlStmt><distStmt><distrbtr source="archive">Universidad del Rosario</distrbtr><distDate>2021-06-02</distDate></distStmt><verStmt source="archive"><version date="2021-06-02" type="RELEASED">1</version></verStmt><biblCit>Eslava, Luis; Cortés-Nieto, Johanna del Pilar; Prieto-Rios, Enrique; Briceño, Natalia; Briceno-Ayala, Leonardo; Jaramillo Jassir, Iván Daniel; Alessandrini, Donatella; Alessandrini, Donatella; Alonso Bejarano, Carolina; Van Ho, Tara; Tan, Celine; Yilmaz Vastardis, Anil; Londoño Aguirre, Diana; Garcia-Suaza, Andres; Sierra Gaona, Nohora Angélica; Vásquez Franco, Clara Viviana; Suárez Suárez, Jesús David; Pinzón Triana, Jhony Alexander; Suárez, Dora; Rodríguez-Morales, Andrés; Simmons, Claire, 2021, "Procesamiento gran Encuesta Integrada de Hogares a nivel departamental para 2019 del DANE", https://doi.org/10.34848/FK2/W03XWG, Universidad del Rosario, V1, UNF:6:qaqIcVuZuxA+qF4FH/Oj8w== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Procesamiento gran Encuesta Integrada de Hogares a nivel departamental para 2019 del DANE</titl><IDNo agency="DOI">doi:10.34848/FK2/W03XWG</IDNo></titlStmt><rspStmt><AuthEnty affiliation="University of Kent">Eslava, Luis</AuthEnty><AuthEnty affiliation="Universidad del Rosario">Cortés-Nieto, Johanna del Pilar</AuthEnty><AuthEnty affiliation="Universidad del Rosario">Prieto-Rios, Enrique</AuthEnty><AuthEnty affiliation="Universidad del Rosario">Briceño, Natalia</AuthEnty><AuthEnty affiliation="Universidad del Rosario">Briceno-Ayala, Leonardo</AuthEnty><AuthEnty affiliation="Universidad del Rosario">Jaramillo Jassir, Iván Daniel</AuthEnty><AuthEnty affiliation="University of Kent">Alessandrini, Donatella</AuthEnty><AuthEnty affiliation="University of Kent">Alessandrini, Donatella</AuthEnty><AuthEnty affiliation="University of Warwick">Alonso Bejarano, Carolina</AuthEnty><AuthEnty affiliation="University of Essex">Van Ho, Tara</AuthEnty><AuthEnty affiliation="University of Warwick">Tan, Celine</AuthEnty><AuthEnty affiliation="University of Essex">Yilmaz Vastardis, Anil</AuthEnty><AuthEnty affiliation="AlianzaEFI">Londoño Aguirre, Diana</AuthEnty><AuthEnty affiliation="Universidad del Rosario">Garcia-Suaza, Andres</AuthEnty><AuthEnty affiliation="Universidad Nacional de Colombia">Sierra Gaona, Nohora Angélica</AuthEnty><AuthEnty affiliation="Colectivo ArtoArte">Vásquez Franco, Clara Viviana</AuthEnty><AuthEnty affiliation="Colectivo ArtoArte">Suárez Suárez, Jesús David</AuthEnty><AuthEnty affiliation="Colectivo ArtoArte">Pinzón Triana, Jhony Alexander</AuthEnty><AuthEnty affiliation="Universidad del Rosario">Suárez, Dora</AuthEnty><AuthEnty affiliation="Universidad del Rosario">Rodríguez-Morales, Andrés</AuthEnty><AuthEnty affiliation="University of Essex">Simmons, Claire</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Universidad del Rosario</distrbtr><contact affiliation="Universidad del Rosario" email="andres.rodriguezm@urosario.edu.co">Rodríguez-Morales, Andrés</contact><depositr>Rodríguez-Morales, Andrés</depositr><depDate>2021-05-16</depDate></distStmt></citation><stdyInfo><subject><keyword>Law</keyword><keyword>Social Sciences</keyword></subject><abstract date="2021-05-16">Este dataset contiene todos los datos utilizados en el proyecto Informalidad en tiempos de COVID-19. Específicamente, utilizamos datos de la Gran Encuesta Integrada de Hogares del DANE de 2019 para medir, de distintas formas, la informalidad laboral. Asimismo, utilizamos el Registro Especial de Prestadores de Servicios de Salud (REPS), información del Instituto Nacional Salud (INS), el Sistema Integrado de Información de la Protección Social (SISPRO), el Registro Único Nacional del Talento Humano en Salud (ReTHUS) y la Base de Datos Única de Afiliados (BDUA), para calcular el acceso al sistema de seguridad social en salud, los contagios y la disponibilidad de camas UCI durante la pandemia. Todos los informes están disponibles en la página web: www.ruptures21.com&#xd;
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This dataset contains all the data used in the Informality in times of COVID-19 project. Specifically, we use data from the 2019 DANE's Gran Encuesta Integrada de Hogares (Large Integrated Household Survey) to measure, in different ways, labor informality. We also use the Special Registry of Health Service Providers (REPS), information from the National Health Institute (INS), the Integrated Social Protection Information System (SISPRO), the Single National Registry of Human Talent in Health (ReTHUS), and the Single Database of Affiliates (BDUA) to calculate access to the social security health system, infections and the availability of ICU beds during the pandemic. All reports are available on the website: www.ruptures21.com.</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><notes type="DVN:TOU" level="dv">Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)  Usted es libre de: Compartir- copiar el material en cualquier medio o formato, Adaptar — remezclar, transformar y construir a partir del material. Bajo los siguientes términos: Atribución — Usted debe dar crédito de manera adecuada, brindar un enlace a la licencia, e indicar si se han realizado cambios. Puede hacerlo en cualquier forma razonable, pero no de forma tal que sugiera que usted o su uso tienen el apoyo de la licenciante. NoComercial — Usted no puede hacer uso del material con propósitos comerciales. CompartirIgual — Si remezcla, transforma o crea a partir del material, debe distribuir su contribución bajo la lamisma licencia del original. . Los detalles de la licencia están disponibles en https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es&#xd;
Se permitirá el re-uso de los datos, la creación y publicación de elementos derivados únicamente para propósitos académicos, y siempre con atribución a los autores a través de citación.&#xd;
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This work is under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0) You are free to: Share - copy the material in any medium or format, Adapt - remix, transform and build from the material. Under the following terms: Attribution - You must appropriatel give credit, provide a link to the license, and indicate if any changes have been made. You may do so in any reasonable way, but not in a way that suggests that you or your use is endorsed by the licensor. NonCommercial - You may not use the material for commercial purposes. ShareAlike - If you remix, transform, or build from the material, you must distribute your contribution under the same license as the original. . License details are available at https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es&#xd;
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It allows the construction and calculation of the indicators used in the research based on the DTA file.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-stata-syntax</notes></otherMat><otherMat ID="f451" URI="https://doi.org/10.34848/FK2/W03XWG/TRFWQ4" level="datafile"><labl>Base de datos en formato DTA que consolida toda la información .dta</labl><txt>Contiene todos los datos utilizados en la investigación. Corresponde a la Gran Encuesta Integrada de Hogares a nivel departamental para 2019 del DANE. La fuente de información que se utiliza es la Gran Encuesta Integrada de Hogares -GEIH-. Esta encuesta contiene información sobre condiciones socioeconómicas, con particular énfasis laboral, que se concentra en el componente de oferta del mercado de trabajo. Esta fuente de información cuenta con un diccionario de variables que se encuentra en la página web del DANE: http://microdatos.dane.gov.co/index.php/catalog/599/get_microdata.

Contains all the data used in the research. Corresponds to the DANE's Large Integrated Household Survey at the departmental level for 2019. The source of information used is the Large Integrated Household Survey -GEIH-. This survey contains information on socioeconomic conditions, with particular emphasis on labor, which focuses on the supply component of the labor market. This source of information has a dictionary of variables that can be found on the DANE website: http://microdatos.dane.gov.co/index.php/catalog/599/get_microdata.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/x-stata</notes></otherMat><otherMat ID="f450" URI="https://doi.org/10.34848/FK2/W03XWG/JRALNL" level="datafile"><labl>Consolidado datos estadísticos 1 - Informalidad .xlsx</labl><txt>Contiene todos los datos utilizados para la construcción del primer informe del proyecto Informalidad en los tiempos de COVID-19. El informe está disponible en: https://repository.urosario.edu.co/handle/10336/31449.

It contains all the data used to construct the second report of the project Informality in the times of COVID-19. The report is available on: https://repository.urosario.edu.co/handle/10336/31450</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</notes></otherMat><otherMat ID="f454" URI="https://doi.org/10.34848/FK2/W03XWG/813VCU" level="datafile"><labl>Consolidado datos estadísticos 2 – Seguridad social y educación.xlsx</labl><txt>Contiene todos los datos utilizados para la construcción del segundo informe del proyecto Informalidad en los tiempos de COVID-19. El informe está disponible en: https://repository.urosario.edu.co/handle/10336/31453

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