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Omitted-variable bias
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#	Item
1	Mgmt 469 Model Specification: Choosing the Right Variables for the Right Hand Side Even if you have only a handful of predictor variables to choose from, there are infinitely many ways to specify the right hand side of a Add to Reading List Source URL: www.kellogg.northwestern.edu Language: English - Date: 2008-03-12 14:38:04 Regression analysis Multicollinearity Variance inflation factor Dummy variable Interaction Omitted-variable bias Dependent and independent variables Categorical variable Linear regression Spike-and-slab variable selection
2	Testing the Validity of Item Non-Response as a Proxy for Cognitive and Non-Cognitive Skills Add to Reading List Source URL: ftp.iza.org Language: English - Date: 2015-03-06 06:59:34 Regression analysis Statistics Survey methodology Bias Design of experiments Psychometrics Proxy Omitted-variable bias Sampling Paradata G factor Instrumental variable
3	Omitted variable bias If we miss out an important variable it not only means our model is poorly specified it also means that any estimated parameters are likely to be biased. If the true model were Yt = α0 + α1Xt + α Add to Reading List Source URL: carecon.org.uk Language: English - Date: 2010-12-21 09:34:26
4	Omitted variable bias If we miss out an important variable it not only means our model is poorly specified it also means that any estimated parameters are likely to be biased. If the true model were Yt = α0 + α1Xt + α Add to Reading List Source URL: carecon.org.uk Language: English - Date: 2010-12-21 10:47:19
5	The Phantom Menace: Omitted Variable Bias in Econometric Research Kevin A. Clarke † University of Rochester Add to Reading List Source URL: www.saramitchell.org Language: English - Date: 2005-06-22 16:36:46
6	Submitted. TECHNICAL REPORT R-449 February 2015 Add to Reading List Source URL: ftp.cs.ucla.edu Language: English - Date: 2015-02-23 19:32:18 Linear regression Instrumental variable Omitted-variable bias Causality Correlation and dependence Spurious relationship Graphical model Conditioning Control theory Statistics Regression analysis Econometrics
7	THE LASSO FOR HIGH-DIMENSIONAL REGRESSION WITH A POSSIBLE CHANGE-POINT arXiv:1209.4875v4 [math.ST] 19 Apr[removed]SOKBAE LEE, MYUNG HWAN SEO, AND YOUNGKI SHIN Add to Reading List Source URL: ias.ust.hk Language: English - Date: 2014-05-22 22:47:23 Estimation theory Parametric statistics Linear regression Least squares Omitted-variable bias Statistics Regression analysis Econometrics
8	C:/Users/Mark Nieman/Dropbox/Mark Research/Published Work/2015/SPPO/PA Final Submission/Manuscript/PA_Strategic_Interactions.dvi Add to Reading List Source URL: www.marknieman.net Language: English - Date: 2015-01-12 21:17:21 Probit Separation Omitted-variable bias Maximum likelihood Logistic regression Choice modelling Statistics Regression analysis Probit model
9	Panel Data 3: Conditional Logit/ Fixed Effects Logit Models Richard Williams, University of Notre Dame, http://www3.nd.edu/~rwilliam/ Last revised February 21, 2015 These notes borrow very heavily, sometimes verbatim, fr Add to Reading List Source URL: www3.nd.edu Language: English - Date: 2015-02-21 12:12:03 Econometrics Statistical models Analysis of variance Logistic regression Logit Fixed effects model Random effects model Omitted-variable bias Odds ratio Statistics Regression analysis Categorical data
10	Fixed Effects Models (very important stuff) Add to Reading List Source URL: www.jblumenstock.com Language: English - Date: 2011-10-06 20:18:32 Estimation theory Parametric statistics Statistical models Dummy variable Linear regression Omitted-variable bias Endogeneity Fixed effects model Ordinary least squares Statistics Regression analysis Econometrics

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