2001
DOI: 10.1016/s0304-4076(00)00089-0
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The unbalanced nested error component regression model

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Cited by 101 publications
(71 citation statements)
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“…We do so while continuing to control for unobserved market‐specific factors that might bear on valuation. The resulting model is a mixed linear model with two levels of random effects (for the company and for the market), which can be estimated using maximum residual likelihood; see Baltagi, Song, and Jung (2001). The coefficients of interest are reported in Panel B of Table IX.…”
Section: Valuation Effectsmentioning
confidence: 99%
“…We do so while continuing to control for unobserved market‐specific factors that might bear on valuation. The resulting model is a mixed linear model with two levels of random effects (for the company and for the market), which can be estimated using maximum residual likelihood; see Baltagi, Song, and Jung (2001). The coefficients of interest are reported in Panel B of Table IX.…”
Section: Valuation Effectsmentioning
confidence: 99%
“…For a detailed discussion, see Baltagi et al (2001). Next, the ten human values are used as dependent variables, and a dummy for self-employment is included in a regression.…”
Section: Methodsmentioning
confidence: 99%
“…As supply‐side constraints facing many developing countries are correlated, the error terms uit.5j and vitj may not be independent of each other (particularly for recipients in the same geographic region, k). Thus, following Baltagi, Song, and Jung (), we define a recipient‐specific random term ζ i and split the error terms into two components (particularly those in the same geographic region that are related) to address the problem: uijtknormalζi+normalϵijt.Substituting Equation into our baseline specification (Equation 3) yields what is called a multilevel mixed‐effects random intercept and coefficient model. Equation illustrates: lnTCijtk=(normalα0+normalζ0i)+(normalα1+normalζi1)0.166667emln0.333333emBLTijt1k+(normalα2+normalζi2)0.166667emln0.333333emMLTit1K+false(α3+ζi1+ζi2false)ln (BLT×MLT)ijt1k+Zβ+false(αi+αj+ϕt+ϵijtfalse),where α 0 , α i , α j , and ϕ t are as previously indicated, and the v...…”
Section: Model Data and Variablesmentioning
confidence: 99%