An assessment of big data for official statistics in the Caribbean: Challenges and opportunities

The data revolution for sustainable development has triggered interest in the use of big data for official statistics such that theUnited Nations Economic and Social Council considers it to be almost an obligation for statistical organizations to explore big data. Big data has been promoted as a more timely and cheaper alternative to traditional sources of official data, and one that offers great potential for monitoring the sustainable development goals. However, privacy concerns, technology and capacity remain significant obstacles to the use of big data. This study makes a case for incorporating big data in official statitics in the Caribbean by highlight the opportunities that big data provides for the subregion, while suggesting ways to manage the challenges. It serves as a starting point for further discussions on the many facets of big data and provides an initial platform upon which a Caribbean big data strategy could be built.

Economic Survey of the Caribbean 2015: Balancing economic recovery and high debt in the Caribbean

The survey provides an overview of the economic performance for 2014 of the Bahamas, Barbados, Belize, Guyana, Jamaica, Suriname, Trinidad and Tobago plus the eight member states of the Eastern Caribbean Currency Union (ECCU) and the outlook for 2015. Data were collected from a review of reports from national governments and through interviews with government officials in each of the countries analyzed.

Economic and Social Upgrading: Definitions, connections and exploring means of measurement

This paper reviews and synthesizes the literature on social upgrading, while exploring its connections with economic upgrading. Using the parsimonious method proposed by Bernhardt and Milberg and an alternative method that takes into account increases in national productivity, this paper analyzes the case of Mexico. Though the proposed approach to social upgrading can be made more sophisticated through the inclusion of more variables, in order to facilitate the replication of the analysis in developing countries where data are scarce, labor productivity, wages and employment were considered sufficient information to analyze economic and social upgrading.