Addressing Missingness in Serialized Bureaucratic Data: The Case of Chinese Courts

Courts around the world are putting their data online, making information about caseloads, parties, and decisions available to the public. Yet, this data is far from complete, and often only reflects a portion of courts’ dockets. We offer and validate a set of tools for leveraging serialized bureaucratic data from courts to estimate the proportion of cases available to the public and the time courts take to make decisions. Using data from more than 3,000 courts in China, our methods allow us to assess patterns of missingness in court data across provinces and cities by type of case and to conduct the largest quantitative analysis to date on court delay in China. By providing an extensive validation of both new and existing tools for estimating missingness and delay, we provide a set of recommendations for researchers looking to augment incomplete bureaucratic data around the world.

Authors

Institutions

Publication Details

Journal
Sociological Methods & Research
Published
2025-06-12
DOI
https://doi.org/10.1177/00491241251340610
Citations
1
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
5.34

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Addressing Missingness in Serialized Bureaucratic Data: The Case of Chinese Courts

Rachel E. Stern, Luke Sanford, Xiaohan Wu, Margaret E. Roberts et al.
1 citations
Sociological Methods & Research
Computational and Text Analysis Methods
5.34
article

Addressing Missingness in Serialized Bureaucratic Data: The Case of Chinese Courts

Rachel E. Stern, Luke Sanford, Xiaohan Wu, Margaret E. Roberts, Benjamin L. Liebman, Amarnath Gupta
article en
1 citations

Abstract

Courts around the world are putting their data online, making information about caseloads, parties, and decisions available to the public. Yet, this data is far from complete, and often only reflects a portion of courts’ dockets. We offer and validate a set of tools for leveraging serialized bureaucratic data from courts to estimate the proportion of cases available to the public and the time courts take to make decisions. Using data from more than 3,000 courts in China, our methods allow us to assess patterns of missingness in court data across provinces and cities by type of case and to conduct the largest quantitative analysis to date on court delay in China. By providing an extensive validation of both new and existing tools for estimating missingness and delay, we provide a set of recommendations for researchers looking to augment incomplete bureaucratic data around the world.

Sociological Methods & Research
San Diego Supercomputer Center (US), New York Law School (US), Yale University (US), University of California San Diego (US), Columbia University (US), University of California, Berkeley (US)
Carnegie Corporation of New York
Openalex Percentile: Top 5%
Computational and Text Analysis Methods
5.34
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Addressing Missingness in Serialized Bureaucratic Data: The Case of Chinese Courts — Rachel E. Stern, Luke Sanford, et al. · Sociological Methods & Research (2025) | TGRS Research Map | TGRS