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ABSTRACT Geographically weight seemingly unrelated regression is a useful technique to explore the temporal and spatial heterogeneity simultaneously in space-time data analysis. In this article, a local linear-based estimating approach… Click to show full abstract
ABSTRACT Geographically weight seemingly unrelated regression is a useful technique to explore the temporal and spatial heterogeneity simultaneously in space-time data analysis. In this article, a local linear-based estimating approach is developed to estimate the unknown coefficient functions. Some simulations are conducted to examine the performance of our proposed method and the results are satisfactory. Finally, a real data example is considered.
Keywords:
geographically weight;
heterogeneity;
unrelated regression;
weight seemingly;
seemingly unrelated
Journal Title: Applied Economics
Year Published: 2017
Link to full text (if available)
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Journal Title: Applied Economics
Year Published: 2017
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!