An e-Collaborative Search Tool for MicroSimulation

This model is the result of a project funded by the Chambre des Salariés du Luxembourg/CSL, the aim of which is to analyse the impact of various changes in social contributions and direct taxes on the distribution of net income (welfare) and total revenue for Luxembourg. The analysis aims to focus on the resident population as far as distributional and total effects are concerned, with an innovative extension to "cross-border commuters/cross-borders" (these play an important role in Luxembourg). In order to make the two sides of the coin, residents and cross-borders, comparable, we have built two EUROMOD-type models on HFCS data, the latter being also available for cross-borders (active households), which SILC data do not offer. The EUROMOD/HFCS-XB model deals with the cross-borders.

This model is the result of a project funded by the Chambre des Salariés du Luxembourg/CSL, the aim of which is to analyse the impact of various changes in social contributions and direct taxes on the distribution of net income (welfare) and total revenue for Luxembourg. The analysis aims to focus on the resident population as far as distributional and total effects are concerned, with an innovative extension to "cross-border commuters/cross-borders" (these play an important role in Luxembourg). In order to make the two sides of the coin, residents and cross-borders, comparable, we have built two EUROMOD-type models on HFCS data, the latter being also available for cross-borders (active households), which SILC data do not offer. The EUROMOD/HFCS-R model deals with the resident side and has been updated from a version developed by third parties as part of previous projects.

Care&WorkMOD is a static microsimulation model developed to estimate the long-term economic costs of lost labour force participation of informal carers due to their caring responsibilities. The model estimates economic impacts such as lost Productivity Life Years (PLYs) due to informal caring, lost personal incomes, lost taxation revenue, increase in welfare payments, lost gross domestic product (GDP) and economic hardship. It uses static ageing methods to project socio-demographic and economic profiles of Australian informal carers aged 15-64 years every five years from 2015 to 2030.