Empirical data used in the application of the paper "Genuinely Unbalanced Spatial Panel Data Models with Fixed Effects: M-Estimation and Inference with an Application to FDI"

doi:10.4121/2cdc714c-6c94-454c-8719-ee8f53e0ab27.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/2cdc714c-6c94-454c-8719-ee8f53e0ab27
Datacite citation style:
Meng, Xiaoyu (2024): Empirical data used in the application of the paper "Genuinely Unbalanced Spatial Panel Data Models with Fixed Effects: M-Estimation and Inference with an Application to FDI". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/2cdc714c-6c94-454c-8719-ee8f53e0ab27.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This repository contains the data used in the empirical analysis of spatial spillover effects on Foreign Direct Investment (FDI) inflows across Chinese administrative divisions. The analysis employs two different model specifications: a balanced panel model and a generalized unbalanced (GU) model. Additionally, a spatial weight matrix file is provided, which is essential for modeling spatial dependencies.

history
  • 2024-09-09 first online, published, posted
publisher
4TU.ResearchData
format
*.xlsx, *.csv
organizations
Nankai University, School of Economics, Tianjin, China

DATA

files (4)