MEASURING INTERTEMPORAL SUBSTITUTION: THE IMPORTANCE OF METHOD CHOICES AND SELECTIVE REPORTING

By Tomáš Havránek. 2015

331 citations recorded by the source corpus.

Subfields: Accounting, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/68811ffbf4ea75250b88cd1ea2e27170c61354c1

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Citations in the corpus

A Monte Carlo Analysis of Alternative Meta-Analysis Estimators in the Presence of Publication Bias (2015, background): “Examples include Havranek and Irsova (2015) and Reed and Sidek (in press).”
What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations (2015, unknown): “The 1995 starting point was determined in part by the existence of several well-known summaries of the literature up to the mid-1990s, including Friedlander, Greenberg, and Robins (1997), Heckman et al. (1999), and Greenberg et al.”
Monopsony in Labor Markets: A Meta-Analysis (2020, unknown): “…with more complex methods (such as an identification strategy) may be less precise—not because these estimates are 11This variable is common in the meta-analyses literature, see Havranek (2015), Havranek, Horvath, and Zeynalov (2016), Card, Kluve, et al. (2018), Havranek and Sokolova (2020).”
Tourism and Economic Growth: A Meta-regression Analysis (2019, result): “Other meta-analytic studies conclude with similar findings (Havránek 2015).”
Habit Formation in Consumption: A Meta-Analysis (2017, background): “For example, Havranek (2015) finds strong publication bias in the literature that uses consumption Euler equations to estimate the elasticity of intertemporal substitution (often the same specification used to estimate habit formation).”
Estimating the Armington elasticity: The importance of study design and publication bias (2020, background): “Andrews & Kasy (2019) use the observation reported by many researchers (for instance, Havranek, 2015; Brodeur et al., 2016) that standard cut-offs for the p-value (0.01, 0.05, 0.1) are associated with jumps in the distribution of reported estimates.”
Structural Change With Long‐Run Income and Price Effects (2015, unknown): “Finally, we choose the value of the parameter θ such that the asymptotic value of the elasticity of intertemporal substitution matches 0.5, a number within the range of various estimates provided in the literature (e.g., Guvenen, 2006; Havránek, 2015).”
Identification of and Correction for Publication Bias (2017, unknown): “Other approaches include the “trim and fill” method (Duval and Tweedie, 2000) and parametric selection models (Iyengar and Greenhouse, 1988; Hedges, 1992).”