Heteroskedasticity, temporal and spatial correlation matter
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F13%3A00209699" target="_blank" >RIV/62156489:43110/13:00209699 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.11118/actaun201361072151" target="_blank" >http://dx.doi.org/10.11118/actaun201361072151</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.11118/actaun201361072151" target="_blank" >10.11118/actaun201361072151</a>
Alternative languages
Result language
angličtina
Original language name
Heteroskedasticity, temporal and spatial correlation matter
Original language description
As economic time series or cross sectional data are typically affected by serial correlation and/or heteroskedasticity of unknown form, panel data typically contains some form of heteroskedasticity, serial correlation and/or spatial correlation. Therefore, robust inference in the presence of heteroskedasticity and spatial dependence is an important problem in spatial data analysis. In this paper we study the standard errors based on the HAC of cross-section averages that follows Vogelsang's (2012) fixed-b asymptotic theory, i.e. we continue with Driscoll and Kraay approach (1998). The Monte Carlo simulations are used to investigate the finite sample properties of commonly used estimators both not accounting and accounting for heteroskedasticity and spatiotemporal dependence (OLS, GLS) in comparison to brand new estimator based on Vogelsang's (2012) fixed-b asymptotic theory in the presence of cross-sectional heteroskedasticity and serial and spatial correlation in panel data with fixed
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AH - Economics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/7E12049" target="_blank" >7E12049: Welfare, Wealth and Work for Europe</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
ISSN
1211-8516
e-ISSN
—
Volume of the periodical
61
Issue of the periodical within the volume
7
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
5
Pages from-to
2151-2155
UT code for WoS article
—
EID of the result in the Scopus database
—