Catatan bukti metode

Panel Spatial Autocorrelation

Panel Spatial Autocorrelation measures whether observations that are geographically close also tend to have similar values across repeated time periods. It extends classic cross-sectional spatial autocorrelation statistics such as Moran's I to panel data, enabling researchers to detect spatial dependence consistently over time and to diagnose whether a panel regression model requires a spatial component.

Sources recorded, not reviewed

Catatan sumber

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

Panel Data Spatial Autocorrelation Analysis

Catatan metode taksonomi · regression-model / spatial-analysis

Anselin, L. (2013). Spatial Econometrics: Methods and Models. Springer Netherlands. (Originally published 1988.) · ISBN 978-9401577991
Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer Berlin Heidelberg. · ISBN 978-3642403408

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 familyGeographically Weighted Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLocal Spatial Autocorrelationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMoran's Imachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Spatial Error Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpatial Autocorrelationmachine-suggested · Relational suggestion, not evidence.