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://journaldata.zbw.eu/dataset/f8276264-9d94-400f-9c5d-1a0095056b59/resource/95c6c933-de88-4291-bd71-82058a3baf40/download/readme.ty.txt |
| Last updated | November 23, 2022 |
| Created | November 23, 2022 |
