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Project Description

Summary:  View help for Summary
This contains the data and stata code to replicate the results in 

William N. Evans, Kathryn Muchnick, Olivia Rosenlund. 2024.  Virtual learning 
in kindergarten through grade 12 during the COVID-19 pandemic and chronic absenteeism. JAMA Netw Open. 7(8):e2429569. doi:10.1001/jamanetworkopen.2024.29569


Chronic absenteeism among K-12 students has increased considerably after the COVID-19 pandemic.  We examine the relationship between virtual learning during the 2020/21 school year (SY) and chronic absenteeism during the 2021/22 SY at the school district level.   We construct a panel at the school districts level for the 2018/19 and 2021/22 SYs. Chronic absenteeism rates are regressed on the percentage of school days in a learning mode in the previous SY, demographic and socioeconomic controls, plus district and year fixed effects. Observations are weighted by district enrollment and standard errors are clustered at the district level.   The key covariates in our analysis are the percentage of hybrid and virtual school days in the previous school year.  We assume that these values in the 2018/19 SY were zero.   Our data set has 11,017 school districts for 2 years and 22,034 observations. Chronic absenteeism rates increased from 15.9% in 2018/19 SY to 29.4% in the 2021/22 SY.  Students whose schools had 100% virtual instruction during the COVID-19 pandemic had chronic absenteeism rates that were 6.9 percentage points higher (95% confidence interval [CI] of 4.8 to 8.9). The coefficient on hybrid instruction is statistically insignificant. The correlation between virtual learning and chronic absenteeism varies by socioeconomic status with the conditional correlation much larger for at-risk students. Chronic absenteeism rates were 10.6 percentage points higher (95% CI of 7.2 to 14.1) among students with 100% of days in virtual learning from districts in the top quintile of poverty rates.   In this cross-section study, chronic absenteeism rates were substantially higher in school districts that used virtual learning during the COVID-19 pandemic. Understanding how to reduce chronic absenteeism and use the virtual learning without potentially negative consequences are key policy questions moving forward.   

Scope of Project

Subject Terms:  View help for Subject Terms COVID-19; Chronic Absenteeism; Virtual learning
Geographic Coverage:  View help for Geographic Coverage National
Universe:  View help for Universe The data consists of 11,017 public school districts throughout the US
Data Type(s):  View help for Data Type(s) administrative records data; aggregate data; census/enumeration data

Methodology

Data Source:  View help for Data Source Common Core of data 
Weights:  View help for Weights All results are weighted by district enrollment
Unit(s) of Observation:  View help for Unit(s) of Observation The school district in a given year
Geographic Unit:  View help for Geographic Unit School districts

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