Gender indicators for follow-up and evaluation of the Regional Programme of Action for the Women of Latin America and the Caribbean, 1995-2001, and the Beijing Platform for Action

Includes bibliography

Economic indicators

Includes bibliography

Science and technology, ICT and profitability in the manufacturing sector in Peru

Includes bibliography

Indicadores sobre la situación de la infancia en América Latina y el Caribe = Indicators on the situation of children in Latin America and the Caribbean

Asistente de Investigación Eliana Barraza, traducción de Marjorie Casassus

Indicadores del desarrollo económico y social en América Latina, 1976 = Indicators of economic and social development in Latin America, 1976

Incluye Bibliografía

Avaliação econômica e participação do plâncton no cultivo de tambaqui em viveiros com diferentes densidades de estocagem

Pós-graduação em Aquicultura - FCAV

Types of discrepancy in Millennium Development Goal indicator values and measures for statistical reconciliation: Overall framework and implementation in selected thematic areas and indicators

Includes bibliography.

Aid for Trade indicators Dashboard: user manual

This Manual is intended to guide individuals and institutions seeking to use the Aid for Trade Dashboard developed by the Economic Commission for Latin America and the Caribbean as part of the Development Project “Facilitating the Effective Integration of Developing Countries into the Global Economy through Aid for Trade Schemes”. This Dashboard presents a set of online indicators for all the countries comprising the five United Nations’ Regional Commissions which are currently participating in this Project.

The use of key indicators to assess Latin America’s long-term economic performance

Through the astute analysis of official statistics, we can gather a more complete picture of the economic performance of a given country, and understand more fully what have been its drivers, leading to a more effective use of national resources and a more efficient design of policy options. However, the myriad of information and numerical data across the system of macroeconomic statistics can be challenging to interpret in a straightforward manner. In order to synthetically assess economic performance across countries in Latin America we propose the use of a composite indicator, which builds upon the methodology of Khramov and Lee (2013) and incorporates key indicators from each of the pillars of macroeconomic statistics: the System of National Accounts, the Balance of Payments Statistics, Monetary and Financial Statistics and Public Finance Statistics. Through a composite examination of key statistical indicators in each country across their long-term trends, we can more fully understand the underlying macroeconomic dynamics.

Risco de crédito: uma abordagem utilizando análise discriminante, regressão logística e redes neurais artificiais

Considering the relevance of researches concerning credit risk, model diversity and the existent indicators, this thesis aimed at verifying if the Fleuriet Model contributes in discriminating Brazilian open capital companies in the analysis of credit concession. We specifically intended to i) identify the economic-financial indicators used in credit risk models; ii) identify which economic-financial indicators best discriminate companies in the analysis of credit concession; iii) assess which techniques used (discriminant analysis, logistic regression and neural networks) present the best accuracy to predict company bankruptcy. To do this, the theoretical background approached the concepts of financial analysis, which introduced themes relative to the company evaluation process; considerations on credit, risk and analysis; Fleuriet Model and its indicators, and, finally, presented the techniques for credit analysis based on discriminant analysis, logistic regression and artificial neural networks. Methodologically, the research was defined as quantitative, regarding its nature, and explanatory, regarding its type. It was developed using data derived from bibliographic and document analysis. The financial demonstrations were collected by means of the Economática ® and the BM$FBOVESPA website. The sample was comprised of 121 companies, being those 70 solvents and 51 insolvents from various sectors. In the analyses, we used 22 indicators of the Traditional Model and 13 of the Fleuriet Model, totalizing 35 indicators. The economic-financial indicators which were a part of, at least, one of the three final models were: X1 (Working Capital over Assets), X3 (NCG over Assets), X4 (NCG over Net Revenue), X8 (Type of Financial Structure), X9 (Net Thermometer), X16 (Net Equity divided by the total demandable), X17 (Asset Turnover), X20 (Net Equity Profitability), X25 (Net Margin), X28 (Debt Composition) and X31 (Net Equity over Asset). The final models presented setting values of: 90.9% (discriminant analysis); 90.9% (logistic regression) and 97.8% (neural networks). The modeling in neural networks presented higher accuracy, which was confirmed by the ROC curve. In conclusion, the indicators of the Fleuriet Model presented relevant results for the research of credit risk, especially if modeled by neural networks.

Methodological Guide for developing Environmental and Sustainable Development Indicators in Latin American and Caribbean countries

This methodological guide is intended as a practical tool for the design and implementation of systems of national indicators to evaluate the success of environmental and sustainable development initiatives, and to define policymaking priorities. The methodology derives from work carried out in Latin American and Caribbean (LAC) countries keeping in mind that the manner in which indicators are constructed and updated has an impact on their overall quality and possible uses.