Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Estimation of Variances using the Generalized Variance Function: Labor and Population Indicators in the Colombian Household Survey 2022
by
Diaz, Julian
, Tellez, Cristian
, Ortiz, Felipe
in
Estimates
/ Estimation
/ Households
/ Labor force
/ Sampling designs
/ Sampling error
/ Variance
2025
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Estimation of Variances using the Generalized Variance Function: Labor and Population Indicators in the Colombian Household Survey 2022
by
Diaz, Julian
, Tellez, Cristian
, Ortiz, Felipe
in
Estimates
/ Estimation
/ Households
/ Labor force
/ Sampling designs
/ Sampling error
/ Variance
2025
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Estimation of Variances using the Generalized Variance Function: Labor and Population Indicators in the Colombian Household Survey 2022
Journal Article
Estimation of Variances using the Generalized Variance Function: Labor and Population Indicators in the Colombian Household Survey 2022
2025
Request Book From Autostore
and Choose the Collection Method
Overview
This study addresses the challenge of estimating variances in household surveys, particularly when sampling design variables are absent in publicly available microdata. By implementing the Generalized Variance Function (GVF), Colombia's Household Survey for 2022 serves as a case study. GVF models were developed and validated using the standard errors published by the National Administrative Department of Statistics (DANE) of Colombia. These models demonstrated high accuracy and robustness for estimates across various levels of disaggregation and periodicities. Additionally, their validation with 2023 data confirmed their predictive capacity and applicability in similar contexts, underscoring their effectiveness as tools for evaluating the quality of estimates in complex surveys. Este estudio aborda el desafío de estimar la varianza en encuestas de hogares, causado por la ausencia de variables del diseño muestral en los microdatos públicos. A través de la implementación de la Función Generalizada de Varianza (FGV), se utiliza como caso de estudio la Encuesta de Hogares de Colombia para 2022. Los modelos de FGV se desarrollaron y validaron con base en los errores estándar publicados por el Departamento Administrativo Nacional de Estadística (DANE) de Colombia. Estos modelos demostraron alta precisión y robustez en estimaciones a diferentes niveles de desagregación y periodicidades. Asimismo, su validación con datos de 2023 confirmó su capacidad predictiva y aplicabilidad en contextos similares, destacando su eficacia como herramienta para evaluar la calidad de las estimaciones en encuestas complejas.
Publisher
Universidad Nacional de Colombia
Subject
This website uses cookies to ensure you get the best experience on our website.