Notas técnicas y bases de datos de MESi
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.
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—Input‑Output and Computable General Equilibrium—to assess policy effects and external shocks. Building the SAM integrated data from the 2021 National Accounting System, the 2017–18 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.
La falta de estadísticas subnacionales confiables dificulta el análisis de las economías provinciales argentinas. Para contribuir a superar este vacío, esta nota técnica presenta la estimación de matrices insumo–producto 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 método del Cociente de Localización Flexible (FLQ). Los resultados permiten caracterizar las estructuras productivas de ambas provincias, identificar diferencias en su diversificación sectorial y medir la capacidad de autosuficiencia y encadenamiento de sus principales actividades. En conjunto, el ejercicio muestra el valor de la regionalización como estrategia para suplir vacíos estadísticos y aportar herramientas útiles para el diseño de políticas de desarrollo en contextos federales heterogéneos como el argentino.
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–output matrix for Ciudad Autónoma 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.
