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This paper considers factor estimation from heterogenous data, where some of the variables are noisy and only weakly informative for the factors. To identify the irrelevant variables, we search for zero rows in the loadings matrix of the factor model. To sharply separate these irrelevant...
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"This is an introductory book for undergraduate students in economics and finance, and can be used for MBA and first-year graduate students in many fields. The 5th Edition provides students with an understanding of why econometrics is necessary and a working knowledge of basic econometric tools....
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This textbook offers a comprehensive introduction to panel data econometrics, an area that has enjoyed considerable growth over the last two decades. Micro and Macro panels are becoming increasingly available, and methods for dealing with these types of data are in high demand among...
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Introduction -- The One-Way Error Component Regression Model -- The Two-Way Error Component Regression Model -- Test of Hypotheses with Panel Data -- Heteroskedasticity and Serial Correlation in the Error Component Model -- Seemingly Unrelated Regressions with Error Components -- Simultaneous...
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"The past two decades have seen econometrics grow into a vast discipline. Many different branches of the subject now happily coexist with one another. These branches interweave econometric theory and empirical applications and bring econometric method to bear on a myriad of economic issues."
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This handbook is aimed at researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest...
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Bayesian econometrics : past, present, and future / Arnold Zellner -- Fitting and comparison of models for multivariate ordinal outcomes / Ivan Jeliazkov, Jennifer Graves, Mark Kutzbach -- Intra-household allocation and consumption of WIC-approved foods : A Bayesian approach / Ariun Ishdorj,...
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