Meta-Regression Methods for Detecting and Estimating Empirical Effects in the Presence of Publication Selection

By T. Stanley. 2007

625 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/25761d83f3fe1ae210e8017f15f98cfedf9da683

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In Management Science and Operations Research

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Citations in the corpus

Meta-Regression Analysis as the Socio-Economics of Economic Research (2008, positive): “…of publication selection and misspecification biases, reported estimates will vary randomly around the ‘true’ effect, β. Equation (3) can be easily derived from statistical theory when all studies are selected for their statistical significance but there is no genuine effect (Stanley, 2007).”
Estimating vertical spillovers from FDI: Why results vary and what the true effect is (2011, background): “Because specification (3) is heteroscedastic by definition, in practice it is usually estimated by weighted least squares (Stanley, 2005, 2008): ei/Se(ei) = ti = e0/Se(ei) + β0 + ξi.”
Multinationals' Profit Response to Tax Differentials: Effect Size and Shifting Channels (2017, neutral): “To cope with this issue, we will use weighted least squares (WLS) to estimate equation (2), which is the standard procedure employed to obtain efficient meta-regression estimates (Stanley, 2008).”
Transparency, Reproducibility, and the Credibility of Economics Research (2018, neutral): “The statistical techniques for assessing publication bias are summarized in Stanley (2005), and many of these are applied in the articles listed in Table 2.”
MEASURING INTERTEMPORAL SUBSTITUTION: THE IMPORTANCE OF METHOD CHOICES AND SELECTIVE REPORTING (2015, methodology): “use weighted least squares with the inverse of the standard error, the estimates’ precision, as the weight (Stanley, 2008).”
The effectiveness of active labour market policies: A meta-analysis (2019, positive): “Many studies apply FAT–PET and PEESE in a multivariate framework (for example, Rose and Stanley, 2005; Ugur, 2014; Awaworyi Churchill and Yew, 2017).”
Consumers’ Willingness to Pay for Renewable Energy: A Meta-Regression Analysis (2015, methodology): “Egger et al. (1997) proposed a regression-based test that evaluates whether the intercept deviates significantly from zero in a regression of standardized effect sizes against their precision (Egger et al., 1997; Stanley, 2008).”
CORRUPTION'S DIRECT EFFECTS ON PER‐CAPITA INCOME GROWTH: A META‐ANALYSIS (2014, methodology): “The MRA specification follows Stanley (2008), Doucouliagos and Ulubasoglu (2008), and Efendic et al. (2011); and can be stated as follows: ti = α0 + β01/seri + ∑ β j Z ji/seri + εi (8) As before, (1/seri) is precision, Zji is a vector of binary variables that may account for variation in the…”