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. |
