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Rural labour markets for youth are an interesting research area for labour force transition studies because gender differences begin to appear with the out-migration that leads to a shortage of young women in Europe. Whilst existing studies provide insight into this migration flow, little is known about the young women and men who remain in the labour force in rural areas. The aim of this study is to provide insight into the determinants of job access after leaving education in Germany among the young population aged 15–29 based on the Labour Force Survey of 2002–2009. First, an empirical analysis of student to employment flow in rural areas with respect to social position (degree discipline, age, and socio-professional category) has been conducted. Second, gender-specific multinomial logit models are used to estimate the determinants of access to a first job without a long-term unemployment spell. The results suggest that there are substantive differences in student to employment flow between female and male samples for the variables urbanisation degree of residence (rural, urban, and peri-urbain) and marital status. Contrary to our expectations, living in rural areas does not suggest a significant negative effect in accessing a job within a year. In line with previous studies, being married has a negative influence on female graduates but is positive for their male counterparts. [ABSTRACT FROM AUTHOR]

Adapting microsimulation models to specific regions is a challenging task. This is especially true when aiming to simulate very low regional levels, such as municipalities, owing to anonymity restrictions or simply nonexistence of data at the required levels. In this study, we present a process to define the dynamics of the PRototypical policy Impact on Multifunctional Activities in rural municipalities (PRIMA) conceptual microsimulation model for the Hohenberg–Krusemark municipality network in the Altmark region of Germany. A parameterization process and the prototypical simulation results of the model are given along with a discussion on the validation of the simulation results by local level stakeholders. The presented technical aspects of the model provide the evolution of the demographic structure and the employment status for individuals living in a set of interconnected municipalities in rural areas. Additional insight was gained by comparing the demographic and employment properties of the simulation results with real data. The comparison allows for the observation of how correctly the model replicates past trends in the municipality network. The model’s assumptions are based on the results of a probability table created for the years 2000–2009, and the simulation results are presented for the years 2000–2020. [ABSTRACT FROM AUTHOR]