Explanipedia

Improving Research Idea Generation Through Data: An Empirical Investigation in Social Science Open

Xiao Liu, Xiao Dong, Xiaolong Gao, Yansong Feng, Xun Pang · 2025

Recent advancements in large language models (LLMs) have shown promise in generating novel research ideas. However, these ideas often face challenges related to feasibility and expected effectiveness. This paper explores how augmenting LLM…

Research on the spatial divergence characteristics and multi-scale influence of innovative industries and housing prices–the case of knowledge-intensive service industries in Guangzhou Open

Luhui Qi, Fu Wan, Yan Li, Xun Pang · 2025

Business Geography Engineering

The impact of industries on housing prices has been a hot topic in urban geography research. The influence of knowledge-intensive business services (KIBS), as a representative of innovative industries, on surrounding housing prices has bee…

Automated Annotation of Evolving Corpora for Augmenting Longitudinal Network Data: A Framework Integrating Large Language Models and Expert Knowledge Open

Xiao Liu, Zirui Wu, Jiayi Li, Zeman Shao, Xun Pang , et al. · 2025

Longitudinal network data are essential for analyzing political, economic, and social systems and processes. In political science, these datasets are often generated through human annotation or supervised machine learning applied to evolvi…

Do the Bretton Woods Institutions promote economic transparency? Open

James R. Hollyer, Xun Pang, B. Peter Rosendorff, James Raymond Vreeland · 2024

Economics Political science

Disseminating data is a core mission of international organizations. The Bretton Woods Institutions (BWIs), in particular, have become a main data source for research and policy-making. Due to their extensive lending activities, the BWIs o…

Replication Data for: A Bayesian Multifactor Spatio-Temporal Model for Estimating Time-Varying Network Interdependence Open

Licheng Liu, Xun Pang · 2022

Computer science Mathematics

This paper proposes a Bayesian multilevel spatio-temporal model with a time-varying spatial autoregressive coefficient to estimate temporally heterogeneous network interdependence. To tackle the classic reflection problem, we use multiple …

A Bayesian Alternative to Synthetic Control for Comparative Case Studies Open

Xun Pang, Licheng Liu, Yiqing Xu · 2021

Computer science Mathematics

This paper proposes a Bayesian alternative to the synthetic control method for comparative case studies with a single or multiple treated units. We adopt a Bayesian posterior predictive approach to Rubin’s causal model, which allows resear…

data_train.RData Open