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Volume 10, Issue 1 2011 Article 39 Statistical Applications in Genetics and Molecular Biology Weighted Lasso with Data Integration Linn Cecilie Bergersen, University of Oslo Ingrid K. Glad, University of Oslo Heidi Lyng, Norwegian Radium Hospital Recommended Citation: Bergersen, Linn Cecilie; Glad, Ingrid K.; and Lyng, Heidi (2011) "Weighted Lasso with Data Integration," Statistical Applications in Genetics and Molecular Biology: Vol. 10: Iss. 1, Article 39. DOI: 10.2202/1544-6115.1703 Weighted Lasso with Data Integration Linn Cecilie Bergersen, Ingrid K. Glad

Catching Growth Determinants with the Adaptive Lasso Ulrike Schneider University of Göttingen Martin Wagner Institute for Advanced Studies, Vienna, and Frisch Centre for Economic Research, Oslo Abstract. This paper uses the adaptive Lasso estimator to determine variables important for economic growth. The adaptive Lasso estimator is a computationally very efficient procedure that simultaneously performs model selection and parameter estimation. The computational cost of this method is negligibly small compared with standard approaches in the growth regressions