Heteroscedasticity-consistent standard errors - PDFSEARCH.IO - Document Search Engine

Heteroscedasticity-consistent standard errors
Results: 36

#	Item
1	Producing accurate standard errors is essential for both the scholarly research and official policy uses of the data because they indicate the precision of the estimates and the statistical significance of hypothesis tes Add to Reading List Source URL: international.ipums.org Language: English - Date: 2011-06-03 10:12:47 Sampling Econometrics Estimation theory Design effect Standard error Sample size determination Variance Random sample Heteroscedasticity-consistent standard errors Statistics Statistical inference Data analysis
2	Ghostscript wrapper for C:rstumentspsjginal-1.pdf Add to Reading List Source URL: ageconsearch.umn.edu Language: English - Date: 2011-09-29 14:45:52 Estimation theory Heteroscedasticity-consistent standard errors Generalized method of moments Linear regression Instrumental variable Estimator Heteroscedasticity T-statistic Maximum likelihood Statistics Econometrics Regression analysis
3	Title stata.com ivregress — Single-equation instrumental-variables regression Description Options Add to Reading List Source URL: www.stata.com Language: English - Date: 2015-04-07 21:48:38 Regression analysis Estimation theory Generalized method of moments Instrumental variable Heteroscedasticity-consistent standard errors Linear regression M-estimator Maximum likelihood Endogeneity Statistics Econometrics Economics
4	Joint Statistics Seminar The Hong Kong University of Science and Technology GARCH Model with Ergodic and Stationary Rescaled Errors by Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2009-02-02 21:58:08 Autoregressive conditional heteroskedasticity Heteroscedasticity Estimator Time series Heteroscedasticity-consistent standard errors Statistics Econometrics Time series analysis
5	New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis Jianqing FAN and Runze L I Semiparametric regression models are very useful for longitudinal data analysis. The comp Add to Reading List Source URL: www.personal.psu.edu Language: English - Date: 2004-11-30 13:50:28 Semiparametric regression Heteroscedasticity-consistent standard errors T-statistic Least squares Polynomial regression Bias of an estimator Nonparametric regression Residual sum of squares Normal distribution Statistics Regression analysis Linear regression
6	Title stata.com xtreg — Fixed-, between-, and random-effects and population-averaged linear models Description Syntax Add to Reading List Source URL: www.stata.com Language: English - Date: 2015-04-07 21:49:00 Statistical inference Econometrics Analysis of variance Resampling Bootstrapping Linear regression Maximum likelihood Estimator Heteroscedasticity-consistent standard errors Statistics Regression analysis Estimation theory
7	Robust Regression Appendix to An R and S-PLUS Companion to Applied Regression John Fox January 2002 Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2011-10-20 08:36:20 Robust regression Least squares Errors and residuals in statistics Iteratively reweighted least squares Estimation theory Estimator Bootstrapping Least trimmed squares Heteroscedasticity-consistent standard errors Statistics Regression analysis M-estimator
8	ARCH and MGARCH models Christopher F Baum EC 823: Applied Econometrics Boston College, Spring 2013 Add to Reading List Source URL: www.ncer.edu.au Language: English - Date: 2014-06-05 01:44:36 Time series analysis Regression analysis Simultaneous equation methods Autoregressive conditional heteroskedasticity Mathematical finance Heteroscedasticity-consistent standard errors Robert F. Engle Heteroscedasticity Time series Statistics Econometrics Economics
9	IV and IV-GMM Christopher F Baum EC 823: Applied Econometrics Boston College, Spring 2013 Add to Reading List Source URL: www.ncer.edu.au Language: English - Date: 2014-06-05 01:44:28 Econometrics Statistical inference Simultaneous equation methods Heteroscedasticity-consistent standard errors Generalized method of moments Instrumental variable Estimator M-estimator Least squares Statistics Estimation theory Regression analysis
10	The Journal of Mental Health Policy and Economics J Ment Health Policy Econ 5, A Comparison of Methods to Handle Skew Distributed Cost Variables in the Analysis of the Resource Consumption in Schizophrenia T Add to Reading List Source URL: www.icmpe.org Language: English - Date: 2004-07-20 19:00:00 Linear regression Heteroscedasticity-consistent standard errors Heteroscedasticity Ordinary least squares Errors and residuals in statistics Instrumental variable Generalized linear model Power transform Homoscedasticity Statistics Regression analysis Econometrics

UPDATE