Inflation and growth: new evidence from a dynamic panel threshold analysis

By S. Kremer, Alexander Bick, Dieter Nautz. Empirical Economics, 2009

821 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b3306f0b232d18703bf5b78e26ae232584447c2e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Effect of economic growth on CO2 emission in developing countries: Evidence from a dynamic panel threshold model (2017, methodology): “The study employs a dynamic panel threshold model developed by Kremer et al. (2013) that extends Hansen’s (1999) original static setup to endogenous regressors to analyse the role of economic growth thresholds in the relationship between economic growth and CO2 emission (yit = dCO2it), the…”
Reducing CO2 emissions in the EU member states: Do environmental taxes work? (2018, methodology): “As Kremer, Bick, and Nautz (2013) reported, the standard within transformation as well as first differencing methods are not viable for removing the country-specific fixed effects (li) in the dynamic panel as these two methods are in conflict with the distribution assumptions Hansen (1999) and…”
Financial development, institutional investors, and economic growth (2017, methodology): “Inflation distorts economic growth, and this evidence is consistent with the related economics literature (Kremer et al., 2013).”
Institutions-FDI Nexus in ECOWAS Countries (2016, methodology): “The second robustness test involved the adoption of an exogenous approach to threshold modeling which was initially proposed by Hansen (2000) and was modified by Caner and Hansen (2004) and Kremer, Bick, and Nautz (2013).”
Does too much finance harm economic growth (2014, methodology): “Consequently, we use the dynamic panel threshold regression approach suggested by Kremer et al. (2013) to explore the nonlinear behavior of finance in relation to the economic growth.”
The impact of government size on economic growth: a threshold analysis (2016, methodology): “Compared with other methods in the threshold literature, namely the static method of Hansen (1999) (used by Christie (2014)) and the GMM method of Kremer et al. (2013), the applied one here has the advantage that it allows for endogenous regressors and endogenous threshold variables.”