This research explores the relationship between sex, gender-role orientation and the decision to become an entrepreneur. Based on a questionnaire, this article follows the Bem Sex-Role Inventory methodology to perform an analysis by means of multiple regression models. The outcomes show that gender-role orientation is a better predictor of the decision to become an entrepreneur than biological sex. Moreover, the results for whole sample confirm the relationship between masculine and androgynous gender-role orientation and entrepreneurial intention, while there is also evidence of feminine gender-role orientation when we consider only women.

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Purpose The purpose of this paper is to assess the capacity of two methodological approaches – discrete choice and survival analysis models – to investigate the relationship between socio-economic characteristics and turnover in a retailing company. A comparison of the estimation results under each model and their interpretation is carried out. The study provides a guide to determine, assess and interpret the effects of different driving factors behind turnover. Design/methodology/approach The authors use a data set containing information about 1,199 workers followed up between January 2007 and December 2009. First, not distinguishing voluntary and involuntary resignation, a binary logistic regression model and a Cox proportional hazards (PH) model for univariate survival data are set up and estimated. Second, distinguishing voluntary and involuntary resignation, a multinomial logistic regression model and a Cox PH model for competing risk data are set up and estimated. Findings When no distinction is made, the results point that wage and age exert a negative effect on turnover. Risk of resignation is higher for male, single, not married and Spanish nationals. When the distinction is made, previous results hold for voluntary turnover: wage, age, gender, marital status and nationality are significant. However, when explaining involuntary turnover, all variables except wage lose explaining power. The survival analysis approach is better suited as it measures risk of resignation in a longitudinal way. Discrete choice models only study the risk at a particular cut-off point (24 months in case of this study). Originality/value This paper is a systematic application, evaluation and comparison of four different statistical models for analysing employee turnover in a single firm. This work is original because no systematic comparison has been done in the context of turnover.

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This paper analyses the income distribution of households in Barcelona metropolitan area. For this purpose we use the monocentric model. As the basic model does not have direct implications for this distribution, we survey the extensions of the model that have been used in empirical literature. One of the most promising ways is to introduce externalities in the decision process; they can result directly from exogenous amenities (given traits of urban area) or be created by other agents' decisions. We first test the simple model relating income to distance. Then we introduce and test the model with exogenous amenities; recreational areas, transportation systems, health, educational and cultural infrastructure. In the third stage we test the model with spatial effects. We present evidence that any model with spatial effects improves significantly the empirical results.