<--- Back to Details
First PageDocument Content
Estimation theory / Parametric statistics / Least squares / Linear regression / Ordinary least squares / Heteroscedasticity-consistent standard errors / Gauss–Markov theorem / Instrumental variable / Heteroscedasticity / Statistics / Regression analysis / Econometrics
Date: 2010-02-16 13:27:26
Estimation theory
Parametric statistics
Least squares
Linear regression
Ordinary least squares
Heteroscedasticity-consistent standard errors
Gauss–Markov theorem
Instrumental variable
Heteroscedasticity
Statistics
Regression analysis
Econometrics

Escribano Notes-A Guided Tour on Econometrics-10 [Modo de compatibilidad]

Add to Reading List

Source URL: siteresources.worldbank.org

Download Document from Source Website

File Size: 99,69 KB

Share Document on Facebook

Similar Documents

Analysis Regression Summary KDD CUP 2017: Volume Prediction Task Solution by CarTrailBlazer

DocID: 1vaMX - View Document

Bounds on Treatment Effects in Regression Discontinuity Designs with a Manipulated Running Variable François Gerard, Miikka Rokkanen, and Christoph Rothe Abstract The key assumption in regression discontinuity analysis

DocID: 1v2C1 - View Document

Fully Bayesian analysis of allele-specific RNA-seq data using a hierarchical, overdispersed, count regression model Ignacio Alvarez Jarad Niemi

DocID: 1uCLx - View Document

Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa

DocID: 1urip - View Document

Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods Lecture: 6 Dimensionality Reduction and Learning: Ridge Regression vs. PCA Instructor: Sham Kakade

DocID: 1u6YM - View Document