Are Any Growth Theories Robust

By Steven N. Durlauf, Andros Kourtellos, Chih Ming Tan. 2008

367 citations recorded by the source corpus.

Subfields: Demography, Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/edb4cf682ef3e5157f0d152a4294bdb626e12c66

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Citations in the corpus

Does Trust Promote Growth (2013, methodology): “…with many competing growth theories naturally give rise to large uncertainty about which model represents the “correct” model of economic growth (Durlauf et al., 2008).1 Beugelsdijk et al. (2004) and Berggren et al. (2008) examine the effect of trust on growth using the original dataset of…”
Distribution Theory of the Least Squares Averaging Estimator (2013, positive): “In order to take into account the model uncertainty, Bayesian model averaging techniques have been applied to empirical growth, including Fernandez, Ley, and Steel (2001), Sala-i Martin, Doppelhofer, and Miller (2004), Durlauf, Kourtellos, and Tan (2008), and Magnus, Powell, and Prufer (2010).”
Trade openness and economic growth: Bayesian model averaging estimate of cross-country growth regressions (2013, background): “However, these studies are still subject to model uncertainty problems as noted by Durlauf et al. (2008a) since they are based on specific choices of growth determinants.”
Explaining Enterprise Performance in Developing Countries with Business Climate Survey Data (2008, background): “As noted above, a recent paper by Durlauf et al. (2008) argued that the effect of institutions is ‘likely to be through their influence on proximate growth determinants (factor accumulation, in this case) rather than through their effects on technological innovation.”
Transmission Lags of Monetary Policy: A Meta-Analysis (2012, methodology): “, 2004; Durlauf et al., 2008; Feldkircher & Zeugner, 2009; Eicher et al., 2011). Recently, BMA has been used to address other questions as well (see Moral-Benito, 2011, for a survey). The idea of BMA is to go through all possible combinations of regressors and weight them according to their model fi”
Spatial filtering, model uncertainty and the speed of income convergence in Europe (2013, background): “(2011), Durlauf et al. (2008) and Eicher et al. (2009) can be easily done and may offer new insights to the differential role played by spatial spillovers in economic growth.”
The Determinants of Economic Growth in European Regions (2014, methodology): “In particular, Durlauf et al. (2008) propose to use a dilution prior of the type put forward in George (2007).”
Model Averaging and Its Use in Economics (2017, methodology): “Masanjala and Papageorgiou (2008) and Eicher et al. (2011). However, this tricky issue of exploring very large model spaces is now mostly dealt with through so-called Markov chain Monte Carlo (MCMC) methods40. In particular, a popular strategy is to run an MCMC algorithm in model space, sampling the”
Economic Emergence: an Evolutionary Economic Perspective (2012, background): “Instead, the following three decades saw a typical mix of: handpicking of abstract assumptions, the selection of mathematically convenient functional forms to obtain equilibrium solutions and ad hoc devices to (invalidly) relate timeless theory to historical or cross country data (see Durlauf et al.”
A comparison of two model averaging techniques with an application to growth empirics (2010, methodology): “Accordingly, one can distinguish between proximate and fundamental growth theories (Durlauf et al., 2008b).”