A Methodological Note on the Construction of High Frequency Macroeconomic Series: Evidence from Tunisia

This note aims to formulate and to apply a combined method of the Loss Quadratic Function of Denton and the Best Linear Unbiased Estimator of Chow-Lin to construct quarterly data for Tunisia. High frequency series for GDP and total investment are obtained from related series which exist in high (quarterly) and low (annual) frequencies for the period 1970-2013. Tunisia began publishing quarterly GDP only since 2001Q1. We use these series to compare our estimates to those published by the Tunisian National Institute of Statistic (INS). Results show that the combined method generates high quality quarterly series

Microfinance Institutions’ Efficiency in the MENA Region: a Bootstrap-DEA approach

The purpose of this study is to evaluate the performance of microfinance institutions in The MENA region over the period 2006-2009. Following Simar and Wilson (1998, 2000) we use a DEA-Bootstrapping methodology to drift appropriate measures of DEA efficiency scores. The estimated results show that average efficiency of the most countries in the region has decreased over the period under study. Results also reveal that efficiency significantly differs by legal status of the microfinance institutions. Keywords: Microfinance, DEA, Bootstrap, MENA

A Methodological Note on the Construction of High Frequency Macroeconomic Series: Evidence from Tunisia

This note aims to formulate and to apply a combined method of the Loss Quadratic Function of Denton and the Best Linear Unbiased Estimator of Chow-Lin to construct quarterly data for Tunisia. High frequency series for GDP and total investment are obtained from related series which exist in high (quarterly) and low (annual) frequencies for the period 1970-2013. Tunisia began publishing quarterly GDP only since 2001Q1. We use these series to compare our estimates to those published by the Tunisian National Institute of Statistic (INS). Results show that the combined method generates high quality quarterly series

Technical efficiency and environmental management : The tunisian Case

International audienceEnvironmentally responsible attributes may enhance hotel efficiency. This analysis considers such effects in a Tunisian context, which confronts decreasing tourism competitiveness. To determine which hotels achieve the best performance, the analysis begins with an estimation of hotels' technical efficiency scores using data envelopment analysis (DEA). An extant model then serves a bootstrap function for the DEA scores with truncated regression, incorporating environmental variables. The investigations clarify changes in hotel tourism productivity; for example, hotels should seek to respect natural surroundings, use clean or renewable energies, and pursue ISO 140001 certification. These findings have clear managerial implications