Computer Automation of General-to-Specific Model Selection Procedures
By Hans-Martin Krolzig, David F. Hendry. 2001
372 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/11d215915c8fa4e58548ab4efd13ebe20979cc2e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- David F. Hendry
- Søren Johansen
- Massimiliano Marcellino
- Carlos Santos
- Anindya Banerjee
- Igor Masten
- T. Mekasha
- Hans-Martin Krolzig
Citations in the corpus
- Consistent Model Selection by an Automatic "Gets" Approach (2003, background): “…in computer automation of general-to-specific (Gets) methods have thrown fresh light on the potential of that approach, both by revealing some high success rates, and by allowing operational studies of alternative tactics: seeint r alia Hoover and Perez (1999) and Krolzig and Hendry (2001).”
- Selecting a Regression Saturated by Indicators (2007, positive): “For general analyses ofGets, seeinter alia Hoover and Perez (1999, 2004), Krolzig and Hendry (2001), Hendry and Krolzig (2003, 2005), Campos, Hendry and Krolzig (2003), Granger and Hendry (2003), and Campos, Ericsson and Hendry (2004); details of the standard algorithm inPcGetsare presented in the…”
- Trade openness and economic growth : a cross-country empirical investigation (2008, neutral): “However, Krueger’s argument about rent-seeking is debatable. It is obvious that rent-seeking, or more generally corruption has a detrimental effect on long run economic growth (see for instance Mauro (1995), Keefer and Knack (1997, 2002)).”
- Forecasting Macroeconomic Variables Using Neural Network Models and Three Automated Model Selection Techniques (2016, neutral): “One is Autometrics by Doornik (2009), see also Krolzig and Hendry (2001) and Hendry and Krolzig (2005), and the other one is the Marginal Bridge Estimator (MBE), see Huang et al. (2008).”
- Aid and Growth: What Meta-Analysis Reveals (2013, positive): “We therefore follow the General-to-Specific (GETS) modelling procedure by Krolzig and Hendry (2001) to systematically reduce the insignificant variables from the multivariate model.”
- Are there any reliable leading indicators for US inflation and GDP growth (2006, background): “3 See Hendry and Krolzig (1999), Krolzig and Hendry (2001) and Hoover and Perez (1999).”
- Model identification of ARIMA family using genetic algorithms (2005, methodology): “In order to overcome this problem, Krolzig and Hendry [24] proposed the PcGet algorithm to test insignificant variables based on the t and F test.”
- Leading Indicators for Euro-area Inflation and GDP Growth (2005, positive): “The good performance of the factors once grouped confirms a finding in Marcellino et al. (2003) that only considered Euro-area factors, and is different from the outcome for the US where the factors perform better for real variables (see Stock and Watson (1998) and Banerjee and Marcellino (2003)).”
- A Guide to Modern Econometrics (2000, background): “8), while Lee (1999) provides a √ N -consistent estimator for the static binary choice model; see Hsiao (2003, Section 7.”