Selected article for: "model regression and time vary"

Author: James H. Fowler; Seth J. Hill; Nick Obradovich; Remy Levin
Title: The Effect of Stay-at-Home Orders on COVID-19 Infections in the United States
  • Document date: 2020_4_17
  • ID: 4s8unfnk_11
    Snippet: If we assume that the left hand side of equation (2) is measured with error , and rates of u ct increase in active infections ( ) are a linear function of fixed factors within each county ( β − ), factors that apply to all counties but vary over time (which we model flexibly with α c date-specific shifts ), and county-specific stay-at-home orders ( ), this equation can be α t x ct rewritten as a two-way fixed-effects ordinary least squares r.....
    Document: If we assume that the left hand side of equation (2) is measured with error , and rates of u ct increase in active infections ( ) are a linear function of fixed factors within each county ( β − ), factors that apply to all counties but vary over time (which we model flexibly with α c date-specific shifts ), and county-specific stay-at-home orders ( ), this equation can be α t x ct rewritten as a two-way fixed-effects ordinary least squares regression model 20 .

    Search related documents:
    Co phrase search for related documents
    • active infection and home stay: 1, 2, 3, 4
    • active infection and home stay order: 1
    • county apply and home stay: 1
    • county apply and home stay order: 1
    • equation hand and left equation hand: 1, 2
    • home stay and linear function: 1
    • home stay order and linear function: 1