Economic efficiency of free and open source software in the public sector: the example of Chile

Includes bibliography

The transformation of the North American apparel industry: is NAFTA a curse or a blessing?

Includes bibliography

Structural change and productivity growth 20 years later: old problems, new opportunities. Summary

Includes bibliography

Evolución del impacto de la tormenta Noel en República Dominicana

Incluye Bibliografía

Caribbean tourism, trends, policies and impact, 1985-2002

Includes bibliography

Latin America’s emergence in global services A new driver of structural change in the region?

Includes bibliography.

El escaso poder predictivo de simples curvas de Phillips en Chile

En este trabajo se explora la existencia, robustez y magnitud del eventual aporte que puedan tener diversas medidas de actividad en la tarea de predecir inflación en Chile, sobre la base de algunas versiones retrospectivas (backward-looking) de curvas de Phillips estimadas tanto con datos revisados como con datos en tiempo real. Los principales resultados confirman los hallazgos de la literatura reciente a nivel internacional: el aporte predictivo de las medidas de actividad aquí consideradas es episódico, inestable y de magnitud moderada. Este precario aporte predictivo es robusto a la utilización de datos definitivos y en tiempo real.

The low predictive power of simple Phillips curves in Chile

This study uses some backward-looking versions of Phillips curves, estimated from both revised and real-time data, to explore the existence, robustness and size of the contribution that a variety of activity measures may make to the task of predicting inflation in Chile. The main results confirm the findings of the recent international literature: the predictive power of the activity measures considered here is episodic, unstable and of moderate size. This weak predictive contribution is robust to the use of final and real-time data.

Industrial location and sectoral linkages: the case of the Brazilian automotive industry

The aim of this article is to analyse the spatial distribution of the automotive industry in Brazil in terms of its various economic categories between 1995 and 2011, and to shed light on its sectoral linkages through inter-regional input-output matrices. By calculating the coefficient of localization (QLij) for that period, it was found that the third wave of investments, which began in the second half of the 1990s, actually caused a slight spatial deconcentration of this sector in the national economy. The coefficient of geographic association (CAik)calculated for different years revealed a slight reduction, while maintaining a high level of concentration, which suggests that vehicle production is closely integrated with other economic activities. This integration was corroborated particularly in terms of input purchases (backward linkages) in all of the analysed regions.