PY_online_supplement.pdf
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 | application/pdf |
License | CC-BY 4.0 |
URL | https://jda-test.zbw.eu/dataset/f617fb7c-ba49-4daf-a620-f56cd6ee4df8/resource/34c78faa-13fd-42ae-bc91-f628deed1686/download/py_online_supplement.pdf |
Last updated | November 8, 2022 |
Created | November 8, 2022 |