{"type":"survey","study_desc":{"title_statement":{"idno":"CHL_2017_NENE_v01_M","title":"Nueva Encuesta Nacional De Empleo 2017","alt_title":"NENE 2017","translated_title":"National Employment Survey 2017"},"authoring_entity":[{"name":"Instituto Nacional de Estad\u00edsticas Chile","affiliation":"Gobierno de Chile"}],"distribution_statement":{"contact":[{"name":"Instituto Nacional de Estad\u00edsticas Chile","affiliation":"Gobierno de Chile","email":"ine@ine.cl","uri":"http:\/\/www.ine.cl"}]},"series_statement":{"series_name":"Labor Force Survey [hh\/lfs]"},"version_statement":{"version":"- v01"},"study_info":{"abstract":"El objetivo de la Encuesta Nacional de Empleo ENE es caracterizar y cuantificar la poblaci\u00f3n de 15 a\u00f1os y m\u00e1s respecto de su situaci\u00f3n en el mercado laboral. \n\nEsta caracterizaci\u00f3n permite capturar de una forma similar a las encuestas de los pa\u00edses miembros de la OCDE, las transformaciones y\/o evoluci\u00f3n en la Fuerza de Trabajo, espec\u00edficamente de la Tasa de Desocupaci\u00f3n, tanto a nivel nacional como en los correspondientes Niveles de Estimaci\u00f3n.","coll_dates":[{"start":"2017","end":"2017","cycle":""}],"nation":[{"name":"Chile","abbreviation":"CHL"}],"geog_coverage":"La cobertura geogr\u00e1fica contempla la poblaci\u00f3n residente en todo Chile con exclusi\u00f3n de las ADA\u00b4s y de las manzanas con 7 o menos viviendas, debido a potenciales problemas operativos y los costos que implica recolectar informaci\u00f3n en unidades de muy poca densidad poblacional.","analysis_unit":"La encuesta tiene las siguientes unidades de an\u00e1lisis: \n\n- Hogares\n\n- Individuos","universe":"Toda la poblaci\u00f3n del pa\u00eds residente en viviendas particulares ocupadas. Esta definici\u00f3n excluye a la poblaci\u00f3n que habita en viviendas colectivas como hospitales, c\u00e1rceles, conventos, cuarteles y otros, pero incluye a las personas que residen en viviendas particulares dentro de dichos centros, como son los porteros, conserjes y otros residentes. Por otro lado, la cobertura geogr\u00e1fica excluye a la poblaci\u00f3n residente en las \u00e1reas de dif\u00edcil acceso, denominadas ADA\u00b4s.","data_kind":"Sample survey data [ssd]","notes":"El alcance de la Nueva Encuesta Nacional de Empleo 2017 incluye:\n\n- CARACTER\u00cdSTICAS GENERALES DE LA VIVIENDA: Localizaci\u00f3n y listado de ocupantes. \n\n- CARACTER\u00cdSTICAS INDIVIDUALES: Situaci\u00f3n laboral en la semana de referencia, caracterizaci\u00f3n de la actividad principal, horas trabajadas, b\u00fasqueda de empleo y empleo anterior.","study_scope":"El alcance de la Nueva Encuesta Nacional de Empleo 2017 incluye:\n\n- CARACTER\u00cdSTICAS GENERALES DE LA VIVIENDA: Localizaci\u00f3n y listado de ocupantes. \n\n- CARACTER\u00cdSTICAS INDIVIDUALES: Situaci\u00f3n laboral en la semana de referencia, caracterizaci\u00f3n de la actividad principal, horas trabajadas, b\u00fasqueda de empleo y empleo anterior."},"method":{"data_collection":{"sampling_procedure":"MARCO MUESTRAL Y ESTRATIFICACI\u00d3N\n\nLa Encuesta Nacional de Empleo, considera a contar de 2010 la utilizaci\u00f3n de un Marco Muestral de manzanas para las \u00e1reas urbanas del pa\u00eds, que en un principio se generaron a partir de cartograf\u00edas digitales de alta validez m\u00e9trica, de informaci\u00f3n anexa como lo son Mapcity y Dmapas y de la informaci\u00f3n proporcionada por las municipalidades referente a los permisos de edificaci\u00f3n, adem\u00e1s del material cartogr\u00e1fico obtenido a partir del precenso del a\u00f1o 2001 y el Censo de Poblaci\u00f3n y Vivienda del a\u00f1o 2002, compuestos por los mapas regionales, provinciales, comunales y distritales que contienen las \u00e1reas urbanas.\n\nEn cuanto a las \u00e1reas RAU y Rural, el marco muestral que se utiliza es aquel generado a partir de la informaci\u00f3n proporcionada por el Censo de Poblaci\u00f3n y Vivienda levantado el a\u00f1o 2002.\n\nEl marco muestral correspondiente al \u00e1rea urbana, involucra un nuevo concepto de unidad muestral, la manzana, cuya configuraci\u00f3n corresponde a la geograf\u00eda natural que las delimita.\n\nEl marco muestral de manzanas respeta la estratificaci\u00f3n geogr\u00e1fica y segregaci\u00f3n de acuerdo a la actividad econ\u00f3mica de los marcos muestrales anteriormente usados por el INE, y por otro lado, incorpora un nuevo concepto de estratificaci\u00f3n que permite obtener muestras de manzanas de distintos tama\u00f1os. Es as\u00ed como en la configuraci\u00f3n del marco, se incorpor\u00f3 una variable que clasifica las manzanas de acuerdo a su tama\u00f1o en n\u00famero de viviendas, form\u00e1ndose 5 grupos denominados \u201cEstratos de Tama\u00f1o\u201d, y 30 subgrupos. Esto permite, que est\u00e9n representadas en la muestra, manzanas de todos los tama\u00f1os en forma proporcional, seleccionando un n\u00famero fijo de viviendas, seg\u00fan corresponda el grupo y subgrupo.\n\nDESCRIPCI\u00d3N DEL DISE\u00d1O MUESTRAL\n\nLa confecci\u00f3n del dise\u00f1o muestral contempla el estudio de las variables que se desea investigar, en este caso, la evoluci\u00f3n de la Fuerza de Trabajo, espec\u00edficamente la Tasa de Desocupaci\u00f3n.\n\nEl dise\u00f1o muestral utilizado se define como probabil\u00edstico, bi-et\u00e1pico, estratificado. Concordantemente las probabilidades de selecci\u00f3n difieren seg\u00fan se seleccione en \u00e1reas urbanas, resto de \u00e1rea urbana o rurales:\n\n- \u00c1rea Urbana: La probabilidad de selecci\u00f3n de las Manzanas o unidades de primera etapa (UPE) es proporcional a su tama\u00f1o expresado por el n\u00famero de viviendas o unidades de segunda etapa (USE) que tiene el estrato (geogr\u00e1fico y de tama\u00f1o) y del n\u00famero de viviendas que tiene cada manzana. La selecci\u00f3n de viviendas (o unidades de segunda etapa) es con igual probabilidad y con m\u00e9todo de selecci\u00f3n sistem\u00e1tico, a partir de una vivienda de arranque dada en forma aleatoria y una constante fija de selecci\u00f3n.\n\n- \u00c1rea RAU y Rural: La probabilidad de selecci\u00f3n de las Secciones o unidades de primera etapa (UPE) es proporcional a su tama\u00f1o expresado en n\u00famero de viviendas o unidades de segunda etapa (USE) que contiene cada Secci\u00f3n. La selecci\u00f3n de viviendas (unidades de segunda etapa) es con igual probabilidad y con m\u00e9todo de selecci\u00f3n sistem\u00e1tica ejecutada en gabinete. Hecho esto, el encuestador va a terreno con un directorio predeterminado de las viviendas que entrevistar\u00e1.\n\nUNIDADES DE MUESTREO Y UNIDADES DE INFORMACI\u00d3N\n\nLas unidades de muestreo dependen del \u00e1rea en cuesti\u00f3n. Considerando la metodolog\u00eda de selecci\u00f3n de la muestra, existen 2 unidades de muestreo. La unidad de muestreo de primera etapa (UPE), en el caso del \u00e1rea urbana (ciudad) corresponde a \u201cmanzanas\u201d, y en el caso del \u00e1rea RAU y Rural, corresponde a \u201csecciones\u201d. En cuanto a la unidad de muestreo de segunda etapa (USE), en ambos casos corresponde a \u201cviviendas particulares ocupadas\u201d dentro de las manzanas o secciones seleccionadas.\n\nLas unidades de informaci\u00f3n o an\u00e1lisis corresponden a todas las personas que componen las viviendas, siendo encuestadas s\u00f3lo las personas mayores de 15 a\u00f1os, aun cuando se registran algunas caracter\u00edsticas (Tarjeta de registro del hogar) de cada una de las personas pertenecientes a la vivienda seleccionada.","coll_mode":"Face-to-face [f2f]","research_instrument":"El cuestionario es semiestructurado, con respuestas pre-codificadas y abiertas. Incluye los siguientes m\u00f3dulos:\n\n- Identificaci\u00f3n del Hogar: Localizaci\u00f3n de la vivienda y per\u00edodos de captaci\u00f3n de los datos.\n\n- A. Situaci\u00f3n laboral en la semana de referencia: preguntas destinadas a establecer la actividad del entrevistado en la semana de referencia.\n\n- B. Caracterizaci\u00f3n de la actividad principal: recopila informaci\u00f3n detallada del empleo principal que desempe\u00f1a el entrevistado, es decir, la actividad en la que trabaj\u00f3 el mayor n\u00famero de horas en la semana de referencia.\n\n- C. Horas trabajadas: Se refiere a las horas habituales y efectivas de trabajo.\n\n- E. B\u00fasqueda de empleo y Empleo Anterior: preguntas destinadas a clasificar a la poblaci\u00f3n desocupada y a recopilar informaci\u00f3n sobre las gestiones de b\u00fasqueda de trabajo, caracter\u00edsticas del \u00faltimo empleo que desempe\u00f1\u00f3 el entrevistado y particularidades de la inactividad.","weight":"El Factor de Expansi\u00f3n se interpreta como la cantidad de viviendas en la poblaci\u00f3n que representa una vivienda en la muestra. Lo que se transmite a las personas que viven en la vivienda. Este depende muestralmente del n\u00famero de viviendas particulares ocupadas que tienen las unidades de primera etapa (manzanas o secciones) al momento de la enumeraci\u00f3n, y de la cantidad de manzanas\/secciones en la muestra al interior de cada estrato. Mientras que seg\u00fan la informaci\u00f3n reportada en el respectivo marco muestral, depende del n\u00famero de viviendas en el estrato y en la secci\u00f3n o manzana seleccionada.\n\nEl Factor de expansi\u00f3n Te\u00f3rico hi F1, es calculado como el inverso de la probabilidad de selecci\u00f3n de cada vivienda. Este factor es constante por secci\u00f3n o manzana y se aplica sobre todas las viviendas y por lo tanto a todas las personas que pertenecen a la secci\u00f3n o manzana i del estrato h.\n\nEl factor de expansi\u00f3n incluye un ajuste de poblaci\u00f3n de personas por estrato, donde cada estrato tiene sus propias estimaciones de proyecciones de poblaci\u00f3n, por sexo y tramo de edad (menores de 15 a\u00f1os y de 15 a\u00f1os y m\u00e1s) con el objeto de aumentar la precisi\u00f3n de las estimaciones y ser consistente con los stocks poblacionales de las proyecciones de poblaci\u00f3n. De esta manera, despu\u00e9s de este ajuste, por cada secci\u00f3n o manzana del estrato \u210e, se tienen 4 ajustes adicionales a los factores de expansi\u00f3n que se aplican respectivamente a todas las personas dentro de la secci\u00f3n, esto es: hombres menores (menores de 15 a\u00f1os), hombres mayores (de 15 a\u00f1os o m\u00e1s), mujeres menores (menores de 15 a\u00f1os) y mujeres mayores (de 15 a\u00f1os o m\u00e1s)."},"analysis_info":{"sampling_error_estimates":"COEFICIENTE DE VARIACI\u00d3N Y ERROR ASOCIADO AL ESTIMADOR\n\nLos errores de muestreo existen como consecuencia de la utilizaci\u00f3n de una parte de la poblaci\u00f3n para estimar caracter\u00edsticas de todo el conjunto poblacional. Sin embargo, existen distintas formas de medir estos errores para las variables de inter\u00e9s como por ejemplo, la varianza, la desviaci\u00f3n est\u00e1ndar o algunas transformaciones de ellas, como el error absoluto, el coeficiente de variaci\u00f3n, error relativo, entre otros. En la Encuesta Nacional de Empleo (ENE) se utilizan, principalmente, las tres \u00faltimas medidas de error, que ayudan a determinar la precisi\u00f3n estad\u00edstica de las estimaciones.\n\nEn primer lugar, el error absoluto asociado a una estimaci\u00f3n de un 95% de confiabilidad se puede interpretar como la diferencia m\u00e1xima que se esperar\u00eda observar entre el valor estimado y el verdadero valor poblacional, en una estimaci\u00f3n con una confiabilidad del 95%. En tanto, el error relativo y el coeficiente de variaci\u00f3n son medidas que indican la precisi\u00f3n relativa de la estimaci\u00f3n. Este \u00faltimo, se obtiene del cociente entre la desviaci\u00f3n est\u00e1ndar (ra\u00edz cuadrada de la varianza) y el valor medio de la estimaci\u00f3n.\n\nERROR ABSOLUTO E INTERVALO DE CONFIANZA\n\nPara el c\u00e1lculo del intervalo de confianza de un 95% para la estimaci\u00f3n de la variable Y, se utiliza el error absoluto (error de estimaci\u00f3n que est\u00e1 expresado en las mismas unidades de la variable en estudio).\n\nEl error absoluto nos permite observar cuanto es la diferencia m\u00e1xima esperada entre el valor estimado y el verdadero par\u00e1metro poblacional, donde dicha estimaci\u00f3n se puede realizar a distintos niveles de confianza, siendo la m\u00e1s com\u00fan la del 95%. A partir de este error se construye el intervalo de confianza de la variable de inter\u00e9s Y.\n\nCOEFICIENTE DE VARIACI\u00d3N Y ERROR RELATIVO\n\nComplementariamente, para cuantificar en t\u00e9rminos relativos los errores asociados al muestreo, se utiliza el error relativo y el coeficiente de variaci\u00f3n. El error relativo representa, en t\u00e9rminos porcentuales, la diferencia m\u00e1xima que existe entre la estimaci\u00f3n puntual y el verdadero valor de la variable y\u0302 en la poblaci\u00f3n, a un nivel de confiabilidad definido generalmente en 95%, denotado por el percentil de distribuci\u00f3n T-student."}},"data_access":{"dataset_availability":{"access_place":"Instituto Nacional de Estad\u00edsticas Chile","access_place_uri":"http:\/\/www.ine.cl\/estadisticas\/laborales\/ene\/base-de-datos","original_archive":"Instituto Nacional de Estad\u00edsticas Chile\nhttp:\/\/www.ine.cl\/estadisticas\/laborales\/ene\/base-de-datos\nCosto: Ninguno"},"dataset_use":{"contact":[{"name":"Instituto Nacional de Estad\u00edsticas Chile","affiliation":"Gobierno de Chile","email":"ine@ine.cl","uri":"http:\/\/www.ine.cl"}],"cit_req":"El uso de estos datos debe ser reconocido mediante una citaci\u00f3n que incluya:\n\n- La identificaci\u00f3n del investigador principal\n\n- El t\u00edtulo de la encuesta (incluyendo el pa\u00eds, el acr\u00f3nimo y el a\u00f1o de aplicaci\u00f3n)\n\n- El n\u00famero de referencia de la encuesta\n\n- La fuente y la fecha de descarga\n\nEjemplo:\n\nInstituto Nacional de Estad\u00edsticas Chile (INE). Chile - Nueva Encuesta Nacional De Empleo (NENE) 2017, Ref. CHL_2017_NENE_v01_M. Dataset downloaded from [url] on [date].","disclaimer":"El usuario de los datos reconoce que el recolector original de los datos, el distribuidor autorizado de los datos, y la entidad que apoya financieramente no son reponsables por el uso o interpretaciones realizadas por terceros."}}},"data_files":[{"file_id":"F1","file_name":"AMJ_UsuariosExternos_2017","description":"El archivo contiene la base de datos del segundo trimestre de 2017 (Abr - Jun)","case_count":"103009","var_count":"126","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"EFM_UsuariosExternos_2017","description":"El archivo contiene la base de datos del primer trimestre de 2017 (Ene - Mar)","case_count":"103047","var_count":"126","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F3","file_name":"ENE 2017 08 JAS","description":"El archivo contiene la base de datos del tercer trimestre de 2017 (Jul - 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