arXiv Open Access 2019

Dyadic Regression

Bryan S. Graham

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Abstrak

Dyadic data, where outcomes reflecting pairwise interaction among sampled units are of primary interest, arise frequently in social science research. Regression analyses with such data feature prominently in many research literatures (e.g., gravity models of trade). The dependence structure associated with dyadic data raises special estimation and, especially, inference issues. This chapter reviews currently available methods for (parametric) dyadic regression analysis and presents guidelines for empirical researchers.

Topik & Kata Kunci

econ.EM stat.AP

Penulis (1)

Bryan S. Graham

Format Sitasi

APA MLA BibTeX

Graham, B.S. (2019). Dyadic Regression. https://arxiv.org/abs/1908.09029

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Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓