Diagnostic Tests for Homoskedasticity in Spatial Cross-Sectional or Panel Models
Badi Baltagi (),
Alain Pirotte () and
Zhenlin Yang ()
Additional contact information
Alain Pirotte: CRED, University Paris II Pantheon-Assas
No 12-2018, Economics and Statistics Working Papers from Singapore Management University, School of Economics
We propose tests for homoskedasticity in spatial econometric models, based on joint or concentrated score functions and an Outer-Product-of-Martingale-Difference (OPMD) estimate of the variance of the joint or concentrated score functions. Versions of these tests robust against non-normality are also given. Asymptotic properties of the proposed tests are formally examined using a cross-section model and a panel model with fixed effects. Monte Carlo results show that the proposed tests based on the concentrated score function have good finite sample properties. Finally, the generality of the proposed approach in constructing tests for homoskedasticity is further demonstrated using a spatial dynamic panel data model with short panels.
Keywords: Adjusted quasi-scores; Dynamics; Fixed effects; Heteroskedasticity; Non-normality; Martingale difference; Score tests; Short panels; Spatial effects. (search for similar items in EconPapers)
JEL-codes: C12 C18 C21 C23 (search for similar items in EconPapers)
Pages: 47 pages
New Economics Papers: this item is included in nep-ecm and nep-sea
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
https://ink.library.smu.edu.sg/soe_research/2179/ Full text (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ris:smuesw:2018_012
Access Statistics for this paper
More papers in Economics and Statistics Working Papers from Singapore Management University, School of Economics 90 Stamford Road, Sigapore 178903. Contact information at EDIRC.
Bibliographic data for series maintained by Cheong Pei Qi ().