*author for correspondence Identifi cation and analysis of explanatory variables for a multi-factor productivity model of passenger airlines ABSTRACT: The paper aimed to identify and analyze the explanatory variables for airlines productivity during 2000 2005, by testing the Pearson correlation between the single factor productivity capital, energy and labor of a sample of 45 selected international airlines (4 Brazilian carriers among them) and their productivity explanatory variables like medium stage length, aircraft load factor, hours fl own and cruise speed for selected routes besides aircraft seat confi guration and airlines number of employees. The research demonstrated, that a set of variables can explain differences in productivity for passenger airlines, such as: investment in personnel training processes, automation, airplane seat density, occupation of aircraft, average fl ight stage length, density and extension of routes, among others.

Henriques Borges Ferreira and Maria Cristina Trindade Terra for the helpful comments. My friends Márcio Salvato, Antonio Galvão Júnior and Fábio Gomes for the companionship and innumerous discussions pertaining to the implementation of the empirical work.

Copyright © 2014 Antonio Henriques de França Neto et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Longitudinal vaginal

these empirical facts and assesses in a calibrated model their quantitative importance for the relation between government size and macroeconomic stability. ∗We are grateful (in alphabetical order) to Henrique Basso, Sof́ıa Bauducco, Antonio Fatás, Jordi Gaĺı, Juan Pablo Nicolini and Varinia Tromben as well