{"id":8357,"date":"2025-04-14T09:32:48","date_gmt":"2025-04-14T12:32:48","guid":{"rendered":"https:\/\/economicas.uba.ar\/iiep\/mesi\/?p=8357"},"modified":"2026-03-05T12:50:07","modified_gmt":"2026-03-05T15:50:07","slug":"mesi-nt","status":"publish","type":"post","link":"https:\/\/economicas.uba.ar\/iiep\/mesi\/mesi-nt\/","title":{"rendered":"MESi NT"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"8357\" class=\"elementor elementor-8357\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-367a1c4 e-flex e-con-boxed e-con e-parent\" data-id=\"367a1c4\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-420d9aa e-flex e-con-boxed e-con e-parent\" data-id=\"420d9aa\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0386324 elementor-widget elementor-widget-heading\" data-id=\"0386324\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Notas t\u00e9cnicas<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-180e9a0 elementor-widget elementor-widget-text-editor\" data-id=\"180e9a0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000000;\">Notas t\u00e9cnicas y bases de datos de MESi<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9af02ca e-flex e-con-boxed e-con e-parent\" data-id=\"9af02ca\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-fc9f475 e-con-full e-flex e-con e-child\" data-id=\"fc9f475\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4fe7645 elementor-widget elementor-widget-image\" data-id=\"4fe7645\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/MESi-NT-1-ISSN.pdf\">\n\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"450\" height=\"637\" src=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/Imagen-de-WhatsApp-2025-09-07-a-las-17.12.37_b00216eb.jpg\" class=\"attachment-large size-large wp-image-8765\" alt=\"\" srcset=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/Imagen-de-WhatsApp-2025-09-07-a-las-17.12.37_b00216eb.jpg 450w, https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/Imagen-de-WhatsApp-2025-09-07-a-las-17.12.37_b00216eb-212x300.jpg 212w\" sizes=\"(max-width: 450px) 100vw, 450px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bb15141 e-con-full e-flex e-con e-child\" data-id=\"bb15141\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3003ff8 elementor-widget elementor-widget-text-editor\" data-id=\"3003ff8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5><span style=\"color: #000000;\">Abstract<\/span><\/h5><p><span style=\"color: #000000;\">Quantitative analysis of public policies is an essential tool for their design and subsequent implementation. However, this type of study faces significant limitations due to data scarcity and inconsistencies between the various available sources of information. In order to overcome these difficulties, this study estimated the Social Accounting Matrix (SAM) together with its Extended Employment Account (EEA) for Argentina in 2018, carefully detailing the methodologies applied to ensure the consistency and robustness of the results in the face of data heterogeneity. The estimation included the accounts of production, productive factors, and agents and institutions, incorporating within the latter a detailed analysis of households, the public sector, and the external sector. In addition to providing a structural description of the Argentine economy, the MCS is a key input for the calibration of Computed General Equilibrium Models (CGE) and Input-Output (I-O) models.<\/span><\/p><p><span style=\"color: #000000;\"><a style=\"color: #000000;\" href=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/MESi_NT_1.pdf\"><strong>Cita APA:<\/strong> Mercatante, J. I., Ojeda, M. L. &amp; Caputo, S. (2025). Estimaci\u00f3n de la Matriz de<br \/>Contabilidad Social y la Cuenta Extendida de Empleo para la Argentina 2018. Serie<br \/><em>MESi NT, 1,<\/em> 1-30.\u00a0<\/a><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-269f4d5 elementor-widget elementor-widget-button\" data-id=\"269f4d5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/MESi_NT1_Database.xlsx\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Base de datos asociada<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d6ec33e e-flex e-con-boxed e-con e-parent\" data-id=\"d6ec33e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1f3426d elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"1f3426d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fabe418 e-flex e-con-boxed e-con e-parent\" data-id=\"fabe418\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-ac6f859 e-con-full e-flex e-con e-child\" data-id=\"ac6f859\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-226e058 elementor-widget elementor-widget-image\" data-id=\"226e058\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/MESi-NT-2-ISSN.pdf\">\n\t\t\t\t\t\t\t<img decoding=\"async\" width=\"453\" height=\"640\" src=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/Imagen-de-WhatsApp-2025-09-07-a-las-17.11.04_980e0ea8.jpg\" class=\"attachment-large size-large wp-image-8764\" alt=\"\" srcset=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/Imagen-de-WhatsApp-2025-09-07-a-las-17.11.04_980e0ea8.jpg 453w, https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/Imagen-de-WhatsApp-2025-09-07-a-las-17.11.04_980e0ea8-212x300.jpg 212w\" sizes=\"(max-width: 453px) 100vw, 453px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ad3bcdf e-con-full e-flex e-con e-child\" data-id=\"ad3bcdf\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e3bb06e elementor-widget elementor-widget-text-editor\" data-id=\"e3bb06e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5><span style=\"color: #000000;\">Abstract<\/span><\/h5><p>\u00a0<\/p><p class=\"\" data-start=\"52\" data-end=\"892\"><span style=\"color: #000000;\">This technical note outlines the creation of a 2022 Social Accounting Matrix (SAM) for Panama, augmented by an Extended Account of Employment (EAE). The SAM maps income and expenditure flows across 28 production sectors, ten household income groups, the consolidated government, trade, and the rest of the world. It underpins multisectoral models\u2014Input\u2011Output and Computable General Equilibrium\u2014to assess policy effects and external shocks. Building the SAM integrated data from the 2021 National Accounting System, the 2017\u201318 Household Survey, the 2021 government budget and balance of payments, Panama Canal balance sheets, and provisional 2022 GDP from INEC. To harmonize diverse sources and align with the System of National Accounts, the RAS method ensured consistency. The EAE links sectoral output to detailed employment statistics.<\/span><\/p><p data-start=\"52\" data-end=\"892\">\u00a0<\/p><p><span style=\"color: #000000;\"><a style=\"color: #000000;\" href=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/MESi_NT_2.pdf\"><strong>Cita APA:<\/strong> Mercartante, J. I. &amp; Ojeda, M. L. (2024). Social Accounting Matrix and Extended Employment Account for Panama 2022. Serie MESi\u00a0NT,\u00a02\u00a0,\u00a01-31. Mercartante, Juan &amp; Ojeda, Mar\u00eda Laura (2024). Social Accounting Matrix and Extended Employment Account for Panama 2022. <em>Serie MESi NT, 2,<\/em> 1-30.<\/a><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-88a496b elementor-widget elementor-widget-button\" data-id=\"88a496b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/MESi_NT2_Databases.xlsx\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Base de datos asociada<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c53437d e-flex e-con-boxed e-con e-parent\" data-id=\"c53437d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-572d528 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"572d528\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5eb86e1 e-flex e-con-boxed e-con e-parent\" data-id=\"5eb86e1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-c66f2d1 e-con-full e-flex e-con e-child\" data-id=\"c66f2d1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6c12ffe elementor-widget elementor-widget-image\" data-id=\"6c12ffe\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/MESi-NT-3-ISSN.pdf\">\n\t\t\t\t\t\t\t<img decoding=\"async\" width=\"560\" height=\"793\" src=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/Captura-de-pantalla-2025-10-16-232130.png\" class=\"attachment-large size-large wp-image-8810\" alt=\"\" srcset=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/Captura-de-pantalla-2025-10-16-232130.png 560w, https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/Captura-de-pantalla-2025-10-16-232130-212x300.png 212w\" sizes=\"(max-width: 560px) 100vw, 560px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b660963 e-con-full e-flex e-con e-child\" data-id=\"b660963\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d305861 elementor-widget elementor-widget-text-editor\" data-id=\"d305861\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5><span style=\"color: #000000;\">Abstract<\/span><\/h5><p data-start=\"52\" data-end=\"892\"><span style=\"color: #000000;\">La falta de estad\u00edsticas su<\/span><span style=\"color: #000000;\">bnacionales confiables dificulta el an\u00e1lisis de las econom\u00edas provinciales argentinas. Para contribuir a superar este vac\u00edo, esta nota t\u00e9cnica presenta la estimaci\u00f3n de matrices insumo\u2013producto regionales para Chaco y Formosa, a partir de la Matriz de Contabilidad Social de Argentina 2018 y datos provinciales de valor agregado bruto (VAB), aplicando el m\u00e9todo del Cociente de Localizaci\u00f3n Flexible (FLQ). Los resultados permiten caracterizar las estructuras productivas de ambas provincias, identificar diferencias en su diversificaci\u00f3n sectorial y medir la capacidad de autosuficiencia y encadenamiento de sus principales actividades. En conjunto, el ejercicio muestra el valor de la regionalizaci\u00f3n como estrategia para suplir vac\u00edos estad\u00edsticos y aportar herramientas \u00fatiles para el dise\u00f1o de pol\u00edticas de desarrollo en contextos federales heterog\u00e9neos como\u00a0el\u00a0argentino.<\/span><\/p><p><span style=\"color: #000000;\"><a style=\"color: #000000;\" href=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/MESi-NT-3-ISSN.pdf\"><strong>Cita APA: <\/strong>Pattin, Nicole, Mercartante, Juan &amp; Ramos, Mar\u00eda Priscila (2025). Estimaci\u00f3n de las Matrices de Insumo-Producto para las provincias argentinas: Chaco &amp; Formosa. Serie MESi NT, 3, 1-24.\u00a0<\/a><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5a412a7 elementor-widget elementor-widget-button\" data-id=\"5a412a7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/MESi_NT3_Database.xlsx\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Base de datos asociada<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4d16f6a e-flex e-con-boxed e-con e-parent\" data-id=\"4d16f6a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-195053f elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"195053f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-028eba7 e-flex e-con-boxed e-con e-parent\" data-id=\"028eba7\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-1faec12 e-con-full e-flex e-con e-child\" data-id=\"1faec12\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f3103fd elementor-widget elementor-widget-image\" data-id=\"f3103fd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/MESi_NT_4_MIP_CABA.pdf\">\n\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"567\" height=\"798\" src=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/Captura-de-pantalla-2026-01-26-140911.png\" class=\"attachment-large size-large wp-image-8845\" alt=\"\" srcset=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/Captura-de-pantalla-2026-01-26-140911.png 567w, https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/Captura-de-pantalla-2026-01-26-140911-213x300.png 213w\" sizes=\"(max-width: 567px) 100vw, 567px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5f13731 e-con-full e-flex e-con e-child\" data-id=\"5f13731\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-04f1874 elementor-widget elementor-widget-text-editor\" data-id=\"04f1874\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5><span style=\"color: #000000;\">Abstract<\/span><\/h5><p>\u00a0<\/p><p data-start=\"52\" data-end=\"892\"><span style=\"color: #000000;\">The lack of reliable subnational statistics hinders the analysis of local economies in Argentina. To help bridge this gap, this document presents the estimation of regional input\u2013output matrix for Ciudad Aut\u00f3noma de Buenos Aires applying the Flexible Location Quotient (FLQ) method. The results make it possible to characterize the productive structure of CABA, identify sectoral diversification issues, and assess the degree of self-sufficiency and linkages of its main activities. The findings indicate that services (including transport and communications) are key sectors in this economy, stimulating the production chain both backward and forward. At a more detailed level of disaggregation, financial intermediation, real estate, and business activities emerge as strategic sectors. In terms of self-sufficiency, 15 out of 40 sectors are net exporters.<\/span><\/p><p data-start=\"52\" data-end=\"892\">\u00a0<\/p><p><span style=\"color: #000000;\"><a style=\"color: #000000;\" href=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/MESi_NT_4_MIP_CABA.pdf\"><strong>Cita APA: <\/strong>Covelli, Mar\u00eda Paula &amp; Mercartante, Juan (2026). Estimaci\u00f3n de la Matriz Insumo Producto regional para la Ciudad Aut\u00f3noma de Buenos Aires. Serie MESi NT, 4, 1-23.<\/a><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-54e5065 elementor-widget elementor-widget-button\" data-id=\"54e5065\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-content\/uploads\/MESi_NT4_Database.xlsx\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Base de datos asociada<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d960dcf e-flex e-con-boxed e-con e-parent\" 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C\u00f3rdoba 2122 &#8211; 1\u00b0 piso (C1120 AAQ)\nCiudad Aut\u00f3noma de Buenos Aires |  Argentina\nTel\/fax: +54 11 5285-6578 \t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Notas t\u00e9cnicas Notas t\u00e9cnicas y bases de datos de MESi Abstract Quantitative analysis of public policies is an essential tool for their design and subsequent implementation. However, this type of<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[66],"class_list":["post-8357","post","type-post","status-publish","format-standard","hentry","category-publicacion","tag-articulos-academicos"],"_links":{"self":[{"href":"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-json\/wp\/v2\/posts\/8357","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-json\/wp\/v2\/comments?post=8357"}],"version-history":[{"count":85,"href":"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-json\/wp\/v2\/posts\/8357\/revisions"}],"predecessor-version":[{"id":8931,"href":"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-json\/wp\/v2\/posts\/8357\/revisions\/8931"}],"wp:attachment":[{"href":"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-json\/wp\/v2\/media?parent=8357"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-json\/wp\/v2\/categories?post=8357"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/economicas.uba.ar\/iiep\/mesi\/wp-json\/wp\/v2\/tags?post=8357"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}