Catatan bukti metode

Random Effects Panel Model

The random effects model is a panel data estimator that explains an outcome using both within-unit and between-unit variation, treating the unobserved unit-specific heterogeneity as a random, normally distributed term rather than a fixed parameter. Its validity is judged with the Hausman (1978) specification test, and it is developed in standard treatments such as Baltagi's Econometric Analysis of Panel Data.

Sources recorded, not reviewed

Catatan sumber

Kutipan disalin apa adanya dari catatan sumber metode. Tidak ada verifikasi tingkat klaim yang disimpulkan darinya.

Random Effects Model for Panel Data

Catatan metode taksonomi · regression-model / econometrics

Hausman, J. A. (1978). Specification Tests in Econometrics. Econometrica, 46(6), 1251-1271. · DOI 10.2307/1913827
Baltagi, B. H. (2005). Econometric Analysis of Panel Data. Wiley. · ISBN 978-0470014561

Buka metode lengkap

Klaim yang dikurasi

Klaim tersimpan dalam buku besar bukti, masing-masing dengan penilaiannya sendiri.

Belum ada klaim yang dikurasi

Tampilan ini tidak menciptakan penilaian klaim ketika buku besar tidak memilikinya.

Metode terkait

Dihasilkan dari grafik metode dan ditampilkan sebagai relasi yang disarankan mesin — tidak ada klaim bukti yang disimpulkan.

Same method familyHausman Testmachine-suggested · Relational suggestion, not evidence.See alsoHierarchical Linear Modelingmachine-suggested · Relational suggestion, not evidence.Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPanel Fixed Effectsmachine-suggested · Relational suggestion, not evidence.Same method familyPooled OLSmachine-suggested · Relational suggestion, not evidence.