Abstract
Purpose: We study the effects of personal features in the Galician labour market, as both self-employed people and employees who work for a firm. Design/methodology/ approach : We propose a wage model to estimate the probability of a person in working age being employee who works for a firm. After the model parameter estimation through binary logistic regression, we estimate the conditional probability to be an employee who works for a firm for different personal features. We do this to evaluate the real effect of personal features in the person role in the labour market, as employee who works for a firm or self-employed person. Findings and originality/value: The probability to be an employee who works for a firm depends on the gender. The greater age, the lower is the probability of men and women that they will be employees who work for a firm. The probability of men to work for a firm is the same to all family size, whereas this probability for women is lower if the family size gests bigger. The greater family income, the lower is the probability of men and women to work for a firm, but the percentages are different. Research limitations/implications: This paper has been made during a moment of sustained economic growth. So, future researches could study the effect of the economic cycle in this topic. Practical implications: The gender differences affects to the labour market. Originality/value: This study considers as the most important variable the gender, and the effect of other explanatory variables on the different probabilities to be a n employee who works for a firm change depending on the gender. We propose a new way to create the variable corrected household income.
Highlights
Research limitations/implications: This paper has been made during a moment of sustained economic growth
Future researches could study the effect of the economic cycle in this topic
This study considers as the most important variable the gender, and the effect of other explanatory variables on the different probabilities to be an employee who works for a firm change depending on the gender
Summary
Modalidades Hombre Mujer Soltero Casado Separado Divorciado Viudo De 16 a 20 años De 21 a 25 años De 26 a 30 años De 31 a 35 años De 36 a 40 años De 41 a 45 años De 46 a 50 años De 51 a 55 años De 56 a 60 años De 61 a 65 años Analfabetos Estudios primarios incompletos Estudios primarios completos Estudios sin graduado escolar Estudios con graduado escolar Bachillerato y similar Grado medio formación profesional Grado superior formación profesional Primer ciclo universidad Especialización profesional Segundo ciclo universidad y doctorado Española y doble nacionalidad Extranjera Menos de 10.000 habitantes Entre 10.000 y 20.000 habitantes Más de 20.000 habitantes Agricultura Pesca Energía Industria Construcción Servicios en general Administración Pública, Defensa y S.Social obligatoria. En base a este razonamiento, definimos los ingresos del hogar corregidos, que es el importe total de los ingresos del hogar descontando los ingresos por trabajo, ya sea por cuenta ajena o por cuenta propia, y de prestaciones o subsidios por desempleo de la persona considerada. Cuanto mayor sean los ingresos del hogar corregidos, menos necesidad tiene el individuo de trabajar, ya que en principio las necesidades básicas estarían cubiertas con otras rentas familiares. Los ingresos del hogar corregidos no son iguales para todos los miembros del hogar; cuanto mayores sean los ingresos que aporte un miembro concreto por rentas del trabajo o subsidios por desempleo, menor será su ingreso del hogar corregido, y mayores los ingresos del hogar corregidos de los demás miembros
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