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This paper reviews and compares twenty-one different model selection algorithms (MSAs) representing a diversity of approaches, including (i) information criteria such as AIC and SIC; (ii) selection of a “portfolio” or best subset of models; (iii) general-to-specific algorithms, (iv)...
Persistent link: https://www.econbiz.de/10008577769
Panel data characterized by groupwise heteroscedasticity, cross-sectional correlation, and AR(1) serial correlation pose problems for econometric analyses. It is well known that the asymptotically efficient, Feasible Generalized Least Squares (FGLS) estimator (Parks) sometimes performs poorly in...
Persistent link: https://www.econbiz.de/10008582775
This review surveys a number of common Model Selection Algorithms (MSAs), discusses how they relate to each other, and identifies factors that explain their relative performances. At the heart of MSA performance is the trade-off between Type I and Type II errors. Some relevant variables will be...
Persistent link: https://www.econbiz.de/10008800740
This study analyzes the impact on income inequality of government efforts to increase agricultural incomes in rural China. It collects and analyzes survey data from 473 households in Yunnan, China in 2004. In particular, it investigates the effects of government efforts to promote improved...
Persistent link: https://www.econbiz.de/10008800741
This study provides evidence that constructed response (CR) questions contribute information about student knowledge and understanding that is not contained in multiple choice questions (MC). We use an extensive data set of individual assessment results from Introductory Macro- and...
Persistent link: https://www.econbiz.de/10008800743
Non-spherical errors, namely heteroscedasticity, serial correlation and cross-sectional correlation are commonly present within panel data sets. These can cause significant problems for econometric analyses. The FGLS(Parks) estimator has been demonstrated to produce considerable efficiency gains...
Persistent link: https://www.econbiz.de/10008805010
This study uses Monte Carlo analysis to investigate the performances of five different meta-analysis (MA) estimators: the Fixed Effects (FE) estimator, the Weighted Least Squares (WLS) estimator, the Random Effects (RE) estimator, the Precision Effect Test (PET) estimator, and the Precision...
Persistent link: https://www.econbiz.de/10011170358
This study reports on various aspects of replication research in economics. It includes (i) a brief history of data sharing and replication; (ii) the results of the authors’ survey administered to the editors of all 333 “Economics” journals listed in Web of Science in December 2013; (iii) an...
Persistent link: https://www.econbiz.de/10011093338
This paper demonstrates that unit root tests can suffer from inflated Type I error rates when data are cointegrated. Results from Monte Carlo simulations show that three commonly used unit root tests – the ADF, Phillips-Perron, and DF-GLS tests – frequently overreject the true null of a unit...
Persistent link: https://www.econbiz.de/10011099467
This study replicates the empirical findings of Toya and Skidmore (2007), henceforth TS, and performs a variety of robustness checks. Using an extensive data set of international disasters, TS report that a number of economic development variables are significantly related to mitigation of...
Persistent link: https://www.econbiz.de/10011161081