{"@context":{"@language":"en","@vocab":"https://schema.org/","citeAs":"cr:citeAs","column":"cr:column","conformsTo":"dct:conformsTo","cr":"http://mlcommons.org/croissant/","rai":"http://mlcommons.org/croissant/RAI/","data":{"@id":"cr:data","@type":"@json"},"dataType":{"@id":"cr:dataType","@type":"@vocab"},"dct":"http://purl.org/dc/terms/","examples":{"@id":"cr:examples","@type":"@json"},"extract":"cr:extract","field":"cr:field","fileProperty":"cr:fileProperty","fileObject":"cr:fileObject","fileSet":"cr:fileSet","format":"cr:format","includes":"cr:includes","isLiveDataset":"cr:isLiveDataset","jsonPath":"cr:jsonPath","key":"cr:key","md5":"cr:md5","parentField":"cr:parentField","path":"cr:path","recordSet":"cr:recordSet","references":"cr:references","regex":"cr:regex","repeated":"cr:repeated","replace":"cr:replace","samplingRate":"cr:samplingRate","sc":"https://schema.org/","separator":"cr:separator","source":"cr:source","subField":"cr:subField","transform":"cr:transform","wd":"https://www.wikidata.org/wiki/"},"@type":"sc:Dataset","conformsTo":"http://mlcommons.org/croissant/1.0","name":"Complejidad económica, infracciones y encuesta GEIH,  caso 2018.","url":"https://doi.org/10.34848/NPPX51","creator":[{"@type":"Person","givenName":"Marcen","familyName":"Laguna","affiliation":{"@type":"Organization","name":"Universidad del Rosario"},"sameAs":"https://orcid.org/0000-0003-1923-5881","@id":"https://orcid.org/0000-0003-1923-5881","identifier":"https://orcid.org/0000-0003-1923-5881","name":"Laguna, Marcen"},{"@type":"Person","givenName":"Ivan","familyName":"Hernadez","affiliation":{"@type":"Organization","name":"Universidad de Ibagué"},"name":"Hernadez, Ivan"},{"@type":"Person","givenName":"Jesus","familyName":"Godoy-Bejarano","affiliation":{"@type":"Organization","name":"Universidad de Ibagué"},"sameAs":"https://orcid.org/0000-0002-9234-6855","@id":"https://orcid.org/0000-0002-9234-6855","identifier":"https://orcid.org/0000-0002-9234-6855","name":"Godoy-Bejarano, Jesus"}],"description":"Este data set contiene el índice de complejidad económica para los departamentos de Colombia, que fueron obtenidos del ‘Datlas’. También tiene el registro de las infracciones de tránsito para Colombia en el año 2018. Así mismo, contiene una muestra de la gran encuesta integrada de los hogares –GIEH. En general es un conjunto de corte transversal para el año 2018.","keywords":["Social Sciences","Informalidad","Complejidad Económica","Internalización de reglas institucionales","Multas de tránsito"],"license":"https://research-data.urosario.edu.co/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.34848/NPPX51","datePublished":"2022-07-01","dateModified":"2022-07-01","includedInDataCatalog":{"@type":"DataCatalog","name":"Universidad del Rosario","url":"https://research-data.urosario.edu.co"},"publisher":{"@type":"Organization","name":"Universidad del Rosario"},"version":"1.0","citeAs":"@data{NPPX51_2022,author = {Laguna, Marcen and Hernadez, Ivan and Godoy-Bejarano, Jesus},publisher = {Universidad del Rosario},title = {Complejidad económica, infracciones y encuesta GEIH, caso 2018.},year = {2022},url = {https://doi.org/10.34848/NPPX51}}","distribution":[{"@type":"cr:FileObject","@id":"geih18.csv","name":"geih18.csv","encodingFormat":"text/comma-separated-values","md5":"43fa047e8c7418567d4888ed727f179e","contentSize":"97217690","description":"Los datos resultan de la fusión de tres bases de datos (GEIH 2018 + ComparendosTransito 2018 + Ranking de complejidad 2017).   Esas tres bases de datos se encuentran disponibles en las páginas web de las instituciones encargadas de producirlas (DANE, SIMIT, y DATLAS)","contentUrl":"https://research-data.urosario.edu.co/api/access/datafile/:persistentId?persistentId=doi:10.34848/NPPX51/IIBVWE"},{"@type":"cr:FileObject","@id":"geih18_dictionary.csv","name":"geih18_dictionary.csv","encodingFormat":"text/comma-separated-values","md5":"00634d370faf663424512fb461839cd8","contentSize":"1097","description":"Descripción de las variables.","contentUrl":"https://research-data.urosario.edu.co/api/access/datafile/:persistentId?persistentId=doi:10.34848/NPPX51/QNERIA"}]}