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The main purpose of this paper is to present fuzzy sets theory as a reliable and straightforward methodology to measure poverty, which offers comparative advantages with respect to traditional methods. This paper also shows that fuzzy sets methodology is compatible with census data information to compute poverty indexes. Results of measuring poverty at state, municipal and town levels are presented for the case of Mexico and are compared with official results. Comparison reveals that fuzzy sets theory is an alternative that solve some of the methodological problems present in poverty lines and marginalization indexes, which makes it a helpful tool to evaluate and implement policies aimed at tackling poverty. [ABSTRACT FROM AUTHOR]

This paper studies Mexican poverty levels by state during the 1992-2002 period, in order to evaluate the effect that the business cycle and governmental policies have had on poverty levels. We find that behind the business cycle and the urban poverty are inversely related and that institutional transfers reduce poverty both in urban and rural areas. [ABSTRACT FROM AUTHOR]