readme.ty.txt
Creators:
M. Hashem Pesaran
;
Cynthia Fan Yang
From the dataset abstract
This paper develops an individual-based stochastic network SIR model for the empirical analysis of the Covid-19 pandemic. It derives moment conditions for the number of infected and...
Source: Matching theory and evidence on Covid‐19 using a stochastic network SIR model (replication data)
Metadata
| Field | Value |
|---|---|
| Format | text/plain |
| License | CC-BY 4.0 |
| URL | https://jda-test.zbw.eu/dataset/f617fb7c-ba49-4daf-a620-f56cd6ee4df8/resource/01da6370-7a60-411c-a986-0dd711315bc6/download/readme.ty.txt |
| Last updated | November 8, 2022 |
| Created | November 8, 2022 |
