cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60966/j11a-2v95
title: Latin America and the Caribbean Standardized Public Debt Database: Data as of December 2019

description: The LAC Debt Group believes that to have sound regional policy it is important to have valid, comparable, and standardized data on Latin America and the Caribbean (LAC). Therefore, at the core of the initiative is the development of a standardized sovereign debt database to help debt managers, policy makers, and other actors of financial markets, analyze the composition of public debt in LAC. The information presented in this database is provided by the Debt Management Offices of 26 LAC countries in response to a questionnaire specifically created to allow comparability of data. The questionnaire is intended to compile up-to-date standardized statistics to conduct cross-country comparisons over clear, objective, and homogeneous definitions of public debt.
DOI: 10.60966/vz0k-v143
title: Latin America and the Caribbean Standardized Public Debt Database: Data as of December 2021

description: The LAC Debt Group believes that to have sound regional policy it is important to have valid, comparable, and standardized data on Latin America and the Caribbean (LAC). Therefore, at the core of the initiative is the development of a standardized sovereign debt database to help debt managers, policy makers, and other actors of financial markets, analyze the composition of public debt in LAC. The information presented in this 2021 database is provided by the Debt Management Offices of 26 LAC countries in response to a questionnaire specifically created to allow comparability of data. The questionnaire is intended to compile up-to-date standardized statistics to conduct cross-country comparisons over clear, objective, and homogeneous definitions of public debt.
DOI: 10.60966/w8c5-4e19
title: Latin America and the Caribbean Standardized Public Debt Database: Data as of December 2022

description: This database compiles up-to-date standardized statistics on sovereign debt issuances for the Latin American and Caribbean (LAC) region and contains biannual data starting in 2006 through December 2022. Sovereign debt data is classified by legislation, creditor, currency, and maturity amongst others for 26 countries. The availability of valid, comparable, and standardized public debt data is essential for the implementation of sound policies in LAC countries. This is why at the core of the LAC Debt Group initiative is the development of a standardized sovereign debt database to help debt managers, policymakers, and other actors of financial markets analyze the evolution and composition of public debt in the region and conduct cross-country comparisons. The information of this database is provided by the public debt offices of LAC countries in response to a questionnaire specifically designed to allow comparability of data. The questionnaire, whose response is non-compulsory, is intended to compile up-to-date standardized statistics for objective and homogeneous definitions of public debt.
DOI: 10.60966/aakr-4t49
title: Latin America and the Caribbean Standardized Public Debt Database: Data as of December 2020

description: The LAC Debt Group believes that to have sound regional policy it is important to have valid, comparable, and standardized data on Latin America and the Caribbean (LAC). Therefore, at the core of the initiative is the development of a standardized sovereign debt database to help debt managers, policy makers, and other actors of financial markets, analyze the composition of public debt in LAC. The information presented in this database is provided by the Debt Management Offices of 26 LAC countries in response to a questionnaire specifically created to allow comparability of data. The questionnaire is intended to compile up-to-date standardized statistics to conduct cross-country comparisons over clear, objective, and homogeneous definitions of public debt.
DOI: 10.60966/dt6q-s696
title: Latin America and the Caribbean Standardized Public Debt Database: Data as of June 2022

description: This database compiles up-to-date standardized statistics on sovereign debt issuances for the LAC region and contains biannual data starting in 2006 through to June 2022. Sovereign Debt Data is classified by legislation, creditor, currency, and maturity amongst others for 26 countries. The availability of valid, comparable, and standardized public debt data is essential for the implementation of sound policies in Latin America and the Caribbean (LAC). This is why at the core of the LAC Debt Group initiative is the development of a standardized sovereign debt database to help debt managers, policymakers, and other actors of financial markets analyze the evolution and composition of public debt in LAC and conduct cross-country comparisons. The information of this database is provided by the public debt offices of LAC countries in response to a questionnaire specifically designed to allow comparability of data. The questionnaire, whose response is non-compulsory, is intended to compile up-to-date standardized statistics for objective and homogeneous definitions of public debt.
DOI: 10.60966/m8wz-5y68
title: Suriname COVID-19 Survey: 2020

description: This dataset constitutes a panel follow-up to the 2016/2017 Suriname Survey of Living Conditions. It measures welfare related variables before and after the onset of the COVID-19 pandemic including labor market outcomes, financial literacy, and food security. The survey was executed in August 2020.
The Suriname COVID-19 Survey is a project of the Inter-American Development Bank (IDB). It collected data on critical socioeconomic topics in the context of the COVID-19 pandemic to support policymaking and help mitigate the crisis impacts on the populations welfare.
The survey recontacted households interviewed in 2016/2017 by the Suriname Survey of Living Conditions (SSLC) and was conducted by phone due to the mobility restrictions and social distancing measures in place. It interviewed 1,016 households during August 2020 and gathered information about disease transmission, household finances, labor, income, remittances, spending, and social protection programs. Data and documentation of the 2016/2017 Suriname Survey of Living Conditions can be found at: https://publications.iadb.org/en/suriname-survey-living-conditions-2016-2017. The survey was designed and implemented by Sistemas Integrales. This publication describes the main methodological aspects, such as sample design, estimation procedures, topics covered by the questionnaire, field organization and quality control. It also presents the structure and codebook for the two resulting publicly available datasets.
DOI: 10.60966/z9hg-kx29
title: COVID-19 Household Telephone Survey in Barbados - Round 2: 2020

description: This dataset constitutes a panel follow-up to the 2016 Barbados Survey of Living Conditions. It measures welfare related variables before and after the onset of the COVID-19 pandemic including labor market outcomes, financial literacy, and food security. The survey was executed in November 2020. The Barbados COVID-19 Survey is a project of the Inter-American Development Bank (IDB). It collected data on critical socioeconomic topics in the context of the COVID-19 pandemic to support policymaking and help mitigate the crisis impacts on the populations welfare. The first survey round recontacted households interviewed in 2016 by the Barbados Survey of Living Conditions (BSLC) and was conducted by phone due to the mobility restrictions and social distancing measures in place. It interviewed 896 households and all their members over 29 days during May and June 2020 and gathered information about disease transmission, household finances, labor, income, remittances, spending, and social protection programs. Data and documentation of this first round can be found at: https://publications.iadb.org/en/covid-19-household-telephone-survey-barbados. The second round was carried out in November 2020 and recontacted respondent households from the first round. It focused on labor and interviewed 758 households. Both Barbados COVID-19 Survey rounds were designed and implemented by Sistemas Integrales. This publication describes the second rounds main methodological aspects, such as sample design, estimation procedures, topics covered by the questionnaire, field organization and quality control. It also presents the structure and codebook for the two resulting datasets.
DOI: 10.60966/65qq-4668
title: Barbados Survey of Living Conditions: 2016

description: This dataset covers a Nationally Representative Sample of the Barbados population. It measures all main aspects of living conditions and reports consumption based poverty rates. The survey was executed between February 2016 and January 2017 (12 full months of fieldwork).
DOI: 10.60966/vrk6-j676
title: Suriname Survey of Living Conditions: 2016-2017

description: This dataset covers a Nationally Representative Sample of the Suriname population. It measures all main aspects of living conditions and reports consumption based poverty rates. The survey was executed between October 2016 and September 2017 (12 full months of fieldwork).
DOI: 10.60966/wtr1-vd47
title: COVID-19 Household Telephone Survey in Barbados: 2020

description: This dataset constitute a panel follow-up to the 2016 Barbados Survey of Living Conditions. It measures welfare related variables before and after the onset of the COVID-19 pandemic including labor market outcomes, financial literacy, and food security. The survey was executed between May and June 2020. The Barbados COVID-19 Survey is a project of the Inter-American Development Bank (IDB). It collected data on critical socioeconomic topics in the context of the COVID-19 pandemic to support policymaking that can help curb the crisis impacts on the populations welfare. It recontacted households that had been interviewed by the Barbados Survey of Living Conditions (BSLC) in 2016 and was phone-based, given the mobility restrictions and social distancing measures in place. It interviewed 896 households and all their members over 29 days during May and June 2020 and gathered information on disease transmission, household finances, labor, income, remittances, spending and social protection programs. The Barbados COVID-19 Survey was designed and implemented by Sistemas Integrales. This report describes the main methodological aspects of the survey, such as sample design, estimation procedures, topics covered by the questionnaire, field organization and quality control. It also presents the structure and contents of the resulting datasets.
DOI: 10.60966/1980-9577
title: Guyana Labor Force Survey: Third Quarter 2017

description: This dataset covers a Nationally Representative Sample of the Guyana population during the July-September 2017 quarter. It measures all main employment indicators. This is the first quarter of a continuous quarterly labor force survey with an individual level rotating panel component detailed in the survey report also included in the package.
DOI: 10.60966/p3xp-r821
title: Guyana Labor Force Survey: Fourth Quarter 2017

description: This dataset covers a Nationally Representative Sample of the Guyana population during the October-December 2017 quarter. It measures all main employment indicators. This is the second quarter of a continuous quarterly labor force survey with an individual level rotating panel component detailed in the survey report also included in the package.
DOI: 10.60966/ypg6-hj28
title: Database of Equivalent Fiscal Pressure in Latin America and the Caribbean - 1990-2018

description: The Equivalent Fiscal Pressure (EFP) for Latin America and the Caribbean for the period 1990-2018, calculated using the IDB-CIAT methodology, measures the total resources collected by the countries of the region. This includes mandatory contributions to private (actuarial) social security systems and non-tax revenues from natural resource exploitation activities. In 2018, the EFP reached 25.2% of GDP, an increase of 0.4% compared to 2017. The sustained increase is based on three fiscal pillars: the Value-Added Tax (VAT), the Income Tax System (ISR), and mandatory Social Security Contributions (SSC), both public and private. From 1990 to 2018, these pillars collectively grew as follows: VAT by 3.4 percentage points of GDP (87.0%), ISR by 2.7 points (77.5%), mandatory SSC by 1.6 points (59.5%), and non-tax revenue from natural resources by 0.7 points (317.5%). Over the most recent five-year period (2013-2018), EFP growth was limited to 1 percentage point of GDP, equivalent to a 4.1% increase. VAT and ISR grew by only 4.8% (to 7.3% of GDP in 2018) and 11.8% (to 6.3% of GDP), respectively, while revenues from natural resources declined by 51.9% (to 1.0% of GDP).
DOI: 10.60966/jhks-mq28
title: Survey of Exporting Firms in Latin America and the Caribbean: Understanding the New Export DNA (Second Edition, September 2021 Dataset)

description: The Institute for the Integration of Latin America and the Caribbean (INTAL), part of the Integration and Trade Sector of the Inter-American Development Bank (IDB), conducted the second edition of a survey targeting firms in Latin America and the Caribbean (LAC) that export both within the region and to extraregional markets. This dataset contains the inputs used to analyze 405 firms, providing insights into how they navigated the second year of the pandemic. It examines the evolution of their exports, the challenges posed by the specific context of the pandemic, the measures they have taken, the public support policies they have received, and their outlook for the future. Additionally, the dataset includes methodological appendices and a sample of the survey.
DOI: 10.60966/envs-2x37
title: Towards Latin America 2026: The Impact of Exports on Gender Equity Database of Indicators on Productive and Export Structure by Gender in Argentina, Colombia, Mexico, and Peru

description: The Institute for the Integration of Latin America and the Caribbean (INTAL), part of the Integration and Trade Sector of the Inter-American Development Bank (IDB), conducted the second edition of a survey targeting firms in Latin America and the Caribbean (LAC) that export both within the region and to extraregional markets. This dataset contains the inputs used to analyze 405 firms, providing insights into how they navigated the second year of the pandemic. It examines the evolution of their exports, the challenges posed by the specific context of the pandemic, the measures they have taken, the public support policies they have received, and their outlook for the future. Additionally, the dataset includes methodological appendices and a sample of the survey.
DOI: 10.60966/z5qn-6b44
title: Structural Fiscal Balances Database for LAC: A Tool to Assess Fiscal Performance in the Region

description: 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.
DOI: 10.60966/qcpw-pj35
title: Primary Healthcare Access, Experience, and Coordination in Latin America and the Caribbean 2013 (PRIMLAC) Data: 2013

description: With the aim of contributing to the design of evidence-based public health policies in Latin America and the Caribbean and giving special consideration to patient or health service user perspectives, between 2012 and 2014 the Inter-American Development Bank carried out the Primary Care Access, Experience and Coordination Survey in Latin America and the Caribbean, in adult populations in Colombia, Mexico, Brazil, El Salvador, Panama and Jamaica. More detail about the motivations, conceptual framework, and detailed methodology of the survey can be found the publication “Desde el paciente: Experiencias de la atención primaria de salud en América Latina y el Caribe” (in Spanish). Primary Healthcare Access, Experience, and Coordination in Latin America and the Caribbean is a dataset of 9,012 observations, that merges the three waves of data collection in the survey, conducted between 2012 and 2014 in: Colombia and Mexico; Brazil and El Salvador; and Panama and Jamaica.
DOI: 10.60966/g43r-pn41
title: Non-contributory Public Spending in Latin America and the Caribbean Data: 2010-2015

description: This paper presents new data documenting the level and evolution of public spending on non-contributory programs for 16 countries in Latin America and the Caribbean. Salaried formal workers contribute to social security and in return have access to an array of benefits -mainly old-age pensions and health services. In recent decades, informal workers – salaried and non-salaried- have gained access to similar benefits, financed through general revenues. Our calculations indicate that, on average, the region spends 1.7% of GDP in these programs. Although they were created in response to social demands, by targeting informal workers these programs may create a behavioral response -i.e. more informality. This paper does not attempt to measure behavioral effects. Its main contribution is to be the first to document this “subsidy to informality” following a common methodology across countries and years in the region.
DOI: 10.60966/7yxk-5t52
title: Community Nutrition Program in El Alto, Bolivia Data: 2014-2017

description: The Community Nutrition Program in El Alto, Bolivia is the second phase of a program originally implemented between 2008 and 2011. The newly-structured program had objectives to improve infant and young child feeding practices, hygiene, and child nutritional status through a behavioral-change strategy based on participatory play education. This dataset includes the data of an evaluation survey to this program, which contains three rounds of data‚ÄîBaseline (2014), endline 1 (2016) and endline 2 (2017)‚Äîon an (unbalanced) panel of 2015 households with children under the age of 12 months or pregnant women at baseline. The survey includes a rich set of socio-economic, demographic and nutrition variables. Datasets were anonymized to protect subject privacy. Variable names, their labels, and any actions taken for de-identification purposes are noted in the codebook below.
DOI: 10.60966/vjdv-ej07
title: Urban Integration and Coexistence Program: Baseline Report (Dataset) 2014

description: This report summarizes the housing and socioeconomic data collected through the Beneficiary Survey of the Neighborhood Improvement Programs conducted in 2014. The survey covered all households in the 11 neighborhoods of the Central District of Tegucigalpa, Honduras, where the first phase of the Urban Integration and Coexistence Program (PICU) - HO-L1088 is planned for implementation. The analysis of descriptive characteristics highlights the main public service needs of these communities, as well as the overall condition of the neighborhoods. Additionally, the socioeconomic characterization of the households provides insights into the health, education, sociability, and intra-family relationships of their members. This information helps design targeted social policies addressing these specific areas in the neighborhoods.
DOI: 10.60966/r33h-n818
title: Survey data of Platform Workers in Argentina 2018 (ETP18) from the Publication Platform Economy and Employment: What Is It Like to Work for an App in Argentina?

description: The phenomenon of digital platforms, which has been a major global disruption in the world of work for nearly a decade, is relatively new in Argentina. By early 2016, five platforms operated in the country, all of them domestically owned. Starting that year, due to factors such as the flexibilization of the payment system for international transactions and others, the entry of new platforms and subsidiaries of foreign companies into the Argentine market accelerated. This influx also boosted new investments directed at locally established platforms. ETP18 is a database on the key characteristics of platform economy activities and workers’ perceptions of these platforms in Argentina in 2018. It provides unique insights aimed at generating new knowledge through this research. The survey was conducted with workers from 11 selected platforms: Mercado Libre, Airbnb, Uber, Cabify, Zolvers, Ando, Glovo, Rappi, Workana, Freelancer, and IguanaFix. The database comprises a sample of 603 cases. A triangulation of selection strategies was implemented due to the varying levels of difficulty in accessing workers across platforms. The sample was non-probabilistic, and the number of respondents per platform was determined using uniform quotas, considering the accessibility of workers for each platform.
DOI: 10.60966/a79b-xz30
title: Departmental GDP Data and Regional Inequality Analysis in Peru (1795-2017)

description: In this study, we examine the regional income distribution in Peru from 1795 to 2017. To achieve this goal, we reconstructed long-term regional GDP and population series for Peru’s 24 departments. These series allowed us to analyze regional income inequality through dimensions such as inequality, modality, mobility, agglomeration, and convergence. The results indicate a persistent increase in regional inequality in Peru from the second half of the 19th century to the first half of the 20th century. The Gini coefficient, which measures regional inequality, shows a value of 0.2613 for 1795 and 0.3626 for 2017, with the highest value of 0.4283 recorded in 1934. The regional income distribution is bimodal, with no mobility between the extremes. For instance, the probability that a department poor in 1795 remains poor in 2017 is 94%, while the probability of a rich region remaining rich is 95%. However, significant mobility is observed among departments occupying the middle of the distribution. Additionally, the beta convergence rate from 1795 to 2017 was 1.62%, compared to 1.30% in the 19th century and 1.05% in the 20th century. Using Quantile Regressions (QR), we found that the convergence speed for the entire analysis period ranges from 0.5% to 3.22%, depending on the quantile analyzed. In contrast, using Markov-Switching models (MS), we found a convergence speed exceeding 10%, contrary to previous empirical findings. Finally, the impact of geographic variables on convergence speed varies depending on the statistical method used and the period analyzed.