Best linear and quadratic moments for spatial econometric models with an application to spatial interdependence patterns of employment growth in US counties (replication data)

DOI

This archive contains the data and code files for "Best linear and quadratic moments for spatial econometric models with an application to spatial interdependence patterns of employment growth in US counties" by Fei Jin, Lung-fei Lee, and Kai Yang, in Journal of Applied Econometrics. Data and code for Monte Carlo experiments and the empirical application are provided: see the readme.jly.txt file for details and the zip folder for the code and data.

Identifier
DOI https://doi.org/10.15456/jae.2024045.0850271337
Metadata Access https://www.da-ra.de/oaip/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:oai.da-ra.de:779347
Provenance
Creator Jin, Fei; Lee, Lung-fei; Yang, Kai
Publisher ZBW - Leibniz Informationszentrum Wirtschaft
Publication Year 2024
Rights Creative Commons Attribution 4.0 (CC-BY); Download
OpenAccess true
Contact ZBW - Leibniz Informationszentrum Wirtschaft
Representation
Language English
Resource Type Collection
Discipline Economics; Social and Behavioural Sciences