Economical modelling has a long standing history within the University, mainly centered around the Institution (and it’s legal predecessors). The task of economical modelling is diverse, the accomplishments of the Institution’s staff are regarded as a benchmark reference in many areas.
The aim of the Mathematics and Statistics Modeling Institution is basically to develop scientific models of Economics and to empower it’s students with the knowledge required for this.
Numerous studies in the field of economic modelling have been published in the most prestigious international journals. Educational activities are of two layers, on the one hand, we teach a wide range of methodological subjects that are essential for studying economics; and, on the other hand, we satisfy the needs, in a methodologically sound manner, of students who are interested in serious and deep mathematics, statistics, operations research, and data analysis.
Details of lecture:
Demography accounts for a large share of low frequency inflation variation in 22 countries from 1870 to 2016. The dependent population (young and old) is associated with higher, and the working age population with lower inflation. The relationship is robust across different sub-samples and specifications, including dynamic Phillips curve settings, suggesting that it is not spurious. A natural experiment involving exogenous population shocks from the two world wars provides further support for the relationship. The observed pattern is broadly consistent with delayed monetary policy responses to demography-induced changes in the natural interest rate.
Topic: MSMI seminar: Előd Takáts
Time: Apr 23, 2021 01:40 PM Budapest
Join Zoom Meeting
Meeting ID: 970 6222 3698
The next speaker of our Lecture Series on Data Analysis in Practice is Viktor Tisza (WorldQuant Predictive) data scientist, who will present a practical application of neural networks and artificial intelligence.
Data Analysis in Practice: Lecture by Viktor Tisza (WorldQuant Predictive)
Facebook link: https://www.facebook.com/events/1118722028550559
The lecture will be held via the Zoom platform.
Date and time: 6 April 2021, Tuesday, 17:00-18:30.