Work detail

Workforce Composition Effects on Covid-19 Spread: a SIR model and an Application to the Czech Regions

Author: Bc. Oliver Škultéty
Year: 2022 - summer
Leaders: doc. PhDr. Martin Gregor Ph.D.
Consultants:
Work type: Bachelors
Language: English
Pages: 61
Awards and prizes:
Link: https://dspace.cuni.cz/handle/20.500.11956/175635
Abstract: One of the main types of government intervention aimed at fghting the
COVID-19 pandemic were the social distancing measures. This thesis presents
a novel approach to examining the relationship between social distancing and
workforce composition. The model used is a SIRD model with dynamically
optimizing individuals. The model is estimated for each Czech region and calibrated for the ’social distancing measure’ so that the model predictions best ft
the data. This measure is then compared in a regression with the share of skilled
labour in each region. This thesis fnds that a large degree of variance of social
distancing between regions can be explained by the workforce composition.
February 2023
MonTueWedThuFriSatSun
  12345
6789101112
13141516171819
20212223242526
2728     

Partners

Deloitte

Sponsors

CRIF
McKinsey
Patria Finance
Česká Spořitelna
EY