Deunionization in the US: a panel data analysis from 1973 to 1999

There are four different hypotheses analyzed in the literature that explain deunionization, namely: the decrease in the demand for union representation by the workers; the impaet of globalization over unionization rates; teehnieal ehange and ehanges in the legal and politieal systems against unions. This paper aims to test alI ofthem. We estimate a logistie regression using panel data proeedure with 35 industries from 1973 to 1999 and eonclude that the four hypotheses ean not be rejeeted by the data. We also use a varianee analysis deeomposition to study the impaet of these variables over the drop in unionization rates. In the model with no demographic variables the results show that these economic (tested) variables can account from 10% to 12% of the drop in unionization. However, when we include demographic variables these tested variables can account from 10% to 35% in the total variation of unionization rates. In this case the four hypotheses tested can explain up to 50% ofthe total drop in unionization rates explained by the model.

Analytical analysis of consumption in Brazil

This thesis is an analytical analysis of consumption in Brazil, based on data from the Consumer Expenditure Survey, years 2008 to 2009, collected by the Brazilian Institute of Geography and Statistics. The main aim of the thesis was to identify differences and similarities in consumption among Brazilian households, and estimate the importance of demographic and geographic characteristics. Initially, households belonging to different social classes and geographical regions were compared based on their consumption. For further insights, two cluster analyses were conducted. Firstly, households were grouped according to the absolute values of expenditures. Five clusters were discovered; cluster membership showed larger spending in all of the expense categories for households having higher income, and a substantial association with particular demographic variables, including as region, neighborhood, race and education. Secondly, cluster analysis was performed on proportionate distribution of total spending by every household. Five groups of households were revealed: Basic Consumers, the largest group that spends only on fundamental goods, Limited Spenders, which additionally purchase alcohol, tobacco, literature and telecommunication technologies, Mainstream Buyers, characterized by spending on clothing, personal care, entertainment and transport, Advanced Consumers, which have high relative expenses on financial and legal services, healthcare and education, and Exclusive Spenders, households distinguished by spending on vehicles, real estate and travelling.