Cross-field collaboration and the uptake of non-peer-reviewed working papers into public policies: Evidence from the NBER

Evidence-informed policymaking increasingly utilizes non-peer-reviewed research, such as working papers. While the link between cross-field collaboration and the academic uptake of peer-reviewed research is established, its relationship to the translation of non-peer-reviewed research into public policy remains unexplored. This study aims to address the gap by examining the association between cross-field collaboration and policy uptake of such pre-publication research. Working papers ( n = 19,280) released between 2000 and 2019 by the National Bureau of Economic Research, an economics research think tank, were selected as a sample. Negative binomial regression models were employed to assess the relationship between cross-field collaboration and policy uptake. The results revealed that cross-field collaboration significantly and positively correlated with the uptake of working papers by public policies. The finding establishes a positive association between the collaborative nature of research production and its subsequent policy influence, even for pre-publication outputs. This research provides novel insights into the mechanisms through which pre-publication research influences policy development. By establishing the relationship between cross-field collaboration and policy uptake, the study contributes to understanding how academic research translates into practical policy applications. The findings have important implications for researchers and research institutions seeking to maximize the social impact of their research, as well as for policymakers assessing the quality and relevance of non-peer-reviewed evidence.

Authors

Institutions

Publication Details

Journal
Journal of Information Science
Published
2026-08-20
DOI
https://doi.org/10.1177/01655515261478908
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cross-field collaboration and the uptake of non-peer-reviewed working papers into public policies: Evidence from the NBER

Qianjin Zong, Hongjin Xu, Xiaoqian Shi, Lixue Lin et al.
Journal of Information Science
scientometrics and bibliometrics research
article

Cross-field collaboration and the uptake of non-peer-reviewed working papers into public policies: Evidence from the NBER

Qianjin Zong, Hongjin Xu, Xiaoqian Shi, Lixue Lin, Zhixiao Li
article en

Abstract

Evidence-informed policymaking increasingly utilizes non-peer-reviewed research, such as working papers. While the link between cross-field collaboration and the academic uptake of peer-reviewed research is established, its relationship to the translation of non-peer-reviewed research into public policy remains unexplored. This study aims to address the gap by examining the association between cross-field collaboration and policy uptake of such pre-publication research. Working papers ( n = 19,280) released between 2000 and 2019 by the National Bureau of Economic Research, an economics research think tank, were selected as a sample. Negative binomial regression models were employed to assess the relationship between cross-field collaboration and policy uptake. The results revealed that cross-field collaboration significantly and positively correlated with the uptake of working papers by public policies. The finding establishes a positive association between the collaborative nature of research production and its subsequent policy influence, even for pre-publication outputs. This research provides novel insights into the mechanisms through which pre-publication research influences policy development. By establishing the relationship between cross-field collaboration and policy uptake, the study contributes to understanding how academic research translates into practical policy applications. The findings have important implications for researchers and research institutions seeking to maximize the social impact of their research, as well as for policymakers assessing the quality and relevance of non-peer-reviewed evidence.

Journal of Information Science
South China Normal University (CN)
Partnerships for the goals
Openalex Percentile: Top 8%
scientometrics and bibliometrics research
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.

Cross-field collaboration and the uptake of non-peer-reviewed working papers into public policies: Evidence from the NBER — Qianjin Zong, Hongjin Xu, et al. · Journal of Information Science (2026) | TGRS Research Map | TGRS