(in Polish) EUROMOD : analizy mikrosymulacyjne z wykorzystaniem modelu podatkowo-świadczeniowego 2400-PL3SL312A
There are two ways to use the EUROMOD microsimulation model. Firstly, using synthetic household data generated by the HHoT module. Secondly, using a representative household dataset developed on the basis of the Population Income and Living Conditions Survey (EU-SILC). The first method involves generating a batch data set for households with predetermined characteristics. For example, these can be families with different numbers of children or families with and without people with disabilities. Typical studies here are analyses comparing the value of disposable income depending on the amount of income from work and the tax and benefit solutions applied (household budget constraint). The second typical issue is to determine the theoretical values of indices assessing financial motivation to work, i.e. METR (marginal tax rate) and ATR (average tax rate). The results of simulations for hypothetical households are used, for example, to identify unintended effects of introduced or planned reforms. The model also allows you to check the consequences of self-designed tax and benefit reforms in terms of their impact on disposable income depending on selected household characteristics. Such reforms may concern, for example, changes in transfers related to children or (less standardly) disability-related benefits. The approach using hypothetical households, on the other hand, does not allow for the analysis of distributional effects. In order to answer the question "to whom and how much do we want to take, to whom and how much to give", it is necessary to use the second method, i.e. the use of representative data on households.
Szacunkowy nakład pracy studenta:
Typ aktywności K (kontaktowe) S (samodzielne)
wykład (zajęcia) 0 0
ćwiczenia (zajęcia) 0 0
egzamin 0 0
konsultacje 30 0
przygotowanie do ćwiczeń/konsultacji 0 22,5
przygotowanie do wykładów 0 0
praca z materiałami dodatkowymi umieszczanymi na platformie Moodle 0 22,5
przygotowanie do kolokwium 0 0
przygotowanie do egzaminu 0 0
Razem 30 45 = 75
Type of course
Course coordinators
Learning outcomes
Skills:
1. The student is able to prepare a data set on the basis of unit data provided by Eurostat.
2. The student is able to describe the variables in the data set.
3. The student is able to perform a statistical descriptive analysis of variables in the database.
4. The student is able to collect and work out the literature on the selected topic.
Symbols of the Ministry of Science and Higher Education: S1A_U01, S1A_U02, S1A_U03, S1A_U04, S1A_U09
Social competence:
1. The student understands the necessity of confronting the theory with empirical data
2. The student understands the limitations resulting from imperfect data sets
3. The student knows how to work in a team, is able to plan an empirical study and jointly prepare a report presenting the results of this research
MNiSW codes: S2A_K01, S2A_K02, S2A_K03
Assessment criteria
Progress in work and commitment to work
Bibliography
Figari F., Paulus A., Sutherland H., Microsimulation and Policy Analysis, in A. B. Atkinson and F. Bourguignon (ed.), the Handbook of Income Distribution, Volume 2
EUROMOD Hypothetical Household Tool (HHoT) – User manual, EUROMOD Technical Note Series, December 2017
Hifkens i in., The Hypothetical Household Tool (HHoT) in EUROMOD: a new instrument for comparative research on tax-benefit policies in Europe, International Journal of Microsimulation, 2019
Baza danych z publikacjami wykorzystującymi EUROMOD.
https://euromod-web.jrc.ec.europa.eu/research/publications
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: