Pronósticos multivariados de poblaciones con series de tiempo
El caso de la ZMCM contrastado con datos del Censo 2010 / Multivariate Population Forecasts with Time Series: The Case of the MCMZ Contrasted with the 2010 Census Data
Bibliographic Data
| ID | 7765719 |
|---|---|
| Authors | Eliud Silva (0000-0003-0499-0446, Universidad Anáhuac), Manuel Ordorica (El Colegio de México) |
| Year | 2013 |
| Volume | 28 |
| Issue | 1 |
| Pages | 167 |
| Publication date | 2013-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Estudios Demográficos y Urbanos (JOURNAL) |
| Journal identifiers | ISSN: 0186-7210 • E-ISSN: 2448-6515 |
| Publisher | El Colegio de Mexico, A.C (PUBLISHER) |
| DOI | 10.24201/edu.v28i1.1442 |
| OpenAlex | W1542819426 |
| Language | ES |
| References cited | 6 |
En este artículo se utilizan series de tiempo multivariadas para mostrar que es factible realizar pronósticos de población con esta perspectiva y se evidencia cómo éstos son satisfactorios de acuerdo con datos derivados del Censo de Población y Vivienda 2010 para la Zona Metropolitana de la Ciudad de México (ZMCM). Se enuncia de manera general la metodología empleada para realizar los pronósticos partiendo de técnicas de desagregación, ajustes y estimación de pronósticos multivariados. Se considera que las herramientas metodológicas capaces de proyectar de manera eficiente resultan indispensables para elaborar gran diversidad de programas públicos cuyo principal objetivo sea un desarrollo sustentable. AbstractThis article uses multivariate time series to show that it is feasible to undertake population forecasts using this perspective and shows how they are satisfactory according to data from the Population and Housing Census 2010 for the Mexico City Metropolitan Zone (MCMZ). It explains the methodology used to make predictions based on disaggregating techniques, adjustments and multivariate forecast estimates. The methodological tools capable of making effective forecasts are regarded as essential to developing a wide range of public programs whose primary goal is sustainable development
Cartography · Geography · Humanities · Multivariate statistics · Population · Sociology · Statistics · Demography · Economics of Agriculture and Food Markets · Global Health Care Issues · Insurance, Mortality, Demography, Risk Management · Mathematics · Philosophy
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| Citation velocity | historical |
|---|---|
| Highly cited | No |