Desde el Instituto para la Integración de América Latina y el Caribe (INTAL) del Sector de Integración y Comercio del Banco Interamericano de Desarrollo (BID) se realiza esta encuesta a firmas de América Latina y el Caribe (ALC) que exportan tanto dentro de la región como a nivel extrarregional. El objetivo del análisis es entender cómo evolucionan sus exportaciones, cuáles son los problemas que enfrentan, qué medidas han tomado, cuáles son las políticas públicas de apoyo que han recibido y cuál es la visión prospectiva de las empresas.

From the Institute for the Integration of Latin America and the Caribbean (INTAL) of the Integration and Trade sector (INT) of the Inter-American Development Bank (IDB), the fourth edition of the survey was carried out on firms in Latin America and the Caribbean (LAC). ). ) that export both within the region and extra-regionally. The objective of the study, on this occasion, is to have evidence about the evolution of the export dynamics of companies in the region in terms of the international inflation experienced recently, the support measures received from their governments, the strategies . of firms to promote their internationalization; its relationship with electronic commerce as a foreign sales channel, intra-firm gender composition and the possibility of incorporating good environmental practices (or environmental sustainability practices) in its production processes.

FINLAC es una base de datos de instituciones financieras reguladas con información sobre desempeño financiero e inclusión financiera por institución financiera. Cubre 7 periodos en el tiempo, más de 50 variables y cubre más de 2000 instituciones financieras. Utiliza información pública o provista al BID para estos efectos por parte de autoridades financieras, y en algunos casos excepcionales, por la propia institución.

The database allows estimating structural fiscal balances for 20 countries in the region under different assumptions regarding the output gap and commodity structural prices. It is a unique database of its kind since: 1) It takes into consideration the distinct responsiveness of different types of revenues to changes in the output gap: In order to adjust for the impact of the business cycle on revenues, we calculate individual elasticities for each source of revenue (i.e. direct taxes, indirect taxes, revenues from non-renewable resources, etc.). Since the different types of revenues in the region have different sensitivities to changes in the output gap, this disaggregated approach allows for a more fine-tuned adjustment. 2) It includes estimations of SFBs based on output gaps’ projections available in “real time”. In addition to giving estimations of the actual SFBs, we provide with estimations of the SFBs that would have resulted should the projections on output gaps available to policymakers at the time of designing fiscal policy (data in “real time”) have been correct. This is in contrast to much of the existing work on structural fiscal balances that makes only an “ex post” analysis using actual and revised information on the output gaps. 3) It allows assessing the response of fiscal policy to the business cycle. We provide with measures of the fiscal impulse, assessing not only the actual but also the intentional fiscal stance, as well as the degree of procyclicality of fiscal policy.

Click here to access the data: https://mydata.iadb.org/idb/dataset/3itg-avtz

The database allows estimating structural fiscal balances for 20 countries in the region under different assumptions regarding the output gap and commodity structural prices. It is a unique database of its kind since: 1) It takes into consideration the distinct responsiveness of different types of revenues to changes in the output gap: In order to adjust for the impact of the business cycle on revenues, we calculate individual elasticities for each source of revenue (i.e. direct taxes, indirect taxes, revenues from non-renewable resources, etc.). Since the different types of revenues in the region have different sensitivities to changes in the output gap, this disaggregated approach allows for a more fine-tuned adjustment. 2) It includes estimations of SFBs based on output gaps’ projections available in “real time”. In addition to giving estimations of the actual SFBs, we provide with estimations of the SFBs that would have resulted should the projections on output gaps available to policymakers at the time of designing fiscal policy (data in “real time”) have been correct. This is in contrast to much of the existing work on structural fiscal balances that makes only an “ex post” analysis using actual and revised information on the output gaps. 3) It allows assessing the response of fiscal policy to the business cycle. We provide with measures of the fiscal impulse, assessing not only the actual but also the intentional fiscal stance, as well as the degree of procyclicality of fiscal policy.

Click here to access the data: https://mydata.iadb.org/idb/dataset/3itg-avtz

This dataset were created to support 2010 DIA - on the following topics: macroeconomics, productivity, services sectors

Data associated with the IDB Publication "Grandmothers and the Gender Gap in the Mexican Labor Market".

ENESS data is available for 2009, 2013, and 2017. As an accompanying module of the ENOE, it covers all the households covered by the ENOE for two out of the three months in the quarter. Hence, the ENESS covers roughly two-thirds of the ENOE sample for the quarter. The ENESS data includes responses from 209,266 households. These households use public and private daycare providers for 3,991 and 1,177 children under seven years old

Data associated with the IDB Publication "Grandmothers and the Gender Gap in the Mexican Labor Market".

The ENOE is the largest household survey conducted in Mexico, and it is superior to administrative data in this context because it includes both the formal and informal sectors of the economy. Its data collection occurs quarterly in a rotating panel format with five observations per household. The ENOE data in this paper spans Q1 of 2005 to Q1 of 2020, a total of 61 surveys (one per quarter). Each survey visits approximately 120,000 households. The survey's demographics section includes information on every member of the household, such as their relationship to the head of household, gender, education, marital status, reason for not living in the household anymore (after the first survey), access to health care, employment, income, and hours worked.

This dataset collects information on municipal expenditures, water-sewerage-and trash collection service coverage, and basic socioeconomic characteristics at municipal level, for two census waves (2000; 2010) for all municipalities of Brazil, Chile, and Mexico.

Click here to access the data: https://mydata.iadb.org/d/hkh9-ch92

The Longitudinal Social Protection Survey harmonized database contains individual information from Chile, Colombia, El Salvador, Paraguay and Uruguay. It has 320 variables, and 120 of them can be compared in all countries.


Click here to access the data: https://mydata.iadb.org/d/ck3a-ui6v