Introduction to Stata Christopher F Baum Faculty Micro Resource Center Boston College August 2011 Christopher F Baum (Boston College FMRC) Introduction to Stata August 2011 1 / 157 Strengths of Stata What is Stata? Overview of the Stata environment Stata is a full-featured statistical programming language for Windows‚ Mac OS X‚ Unix and Linux. It can be considered a “stat package‚” like SAS‚ SPSS‚ RATS‚ or eViews. Stata is available in several versions: Stata/IC (the standard
Premium Graphical user interface Econometrics User interface
A panel data design in the research of Chinese per capital electricity consumption Abstract: Currently‚ the economic growth development accompanied with consumption of energy. And to some extent‚ per capital consumption is one of the most suitable indicators for the economy growth. This report is going to explore regional difference on this variable over the period 1985-2013 (exclude 1992-1994‚ because of the data absence)‚ as well as to reflect the tendency of the regional economic difference
Premium Economic development Economic growth Economics
____ ____ (R) /__ / ____/ / ____/ ___/ / /___/ / /___/ 13.0 Statistics/Data Analysis Special Edition Copyright 1985-2013 StataCorp LP StataCorp 4905 Lakeway Drive College Station‚ Texas 77845 USA 800-STATA-PC http://www.stata.com 979-696-4600 stata@stata.com 979-696-4601 (fax) Unlimited-user Stata network license expires 27 Jun 2015: Serial number: 401306268462 Licensed to: msaqibsultan brandeis Notes: 1. (/v# option or -set maxvar-) 5000 maximum variables 1 . use "C:\Users\Saqib Sultan Khokhar\Desktop\Statistics\writing
Premium Variance Analysis of variance
BEDRIJFSKUNDE UNIVERSITEIT VAN AMSTERDAM Short Guide to Stata 1. Introduction This guide gives an overview of some basic commands of Stata. Stata contains many more commands. Some of these will be used in the computer exercises of Econometrics‚ but lots will not be used at all. With Stata you will be able to perform complex statistical and econometrical calculations and estimations. It is even possible to program your own routines. Below‚ Stata commands are set in lettertype Courier. Options are
Premium Econometrics Regression analysis
University of Bristol School of Economics‚ Finance and Management Course: MSc Accounting‚ Finance and Management ECONM1012 Quantitative Methods Summery of “Beauty in the classroom: instructors’ pulchritude and putative pedagogical productivity” The report is written by Daniel S. Hamermesh‚ Amy Parker of analyzing the relationship between beauty and teaching productivity. Q1 (i) Command: regress Course_Eval beauty‚ robust OLS is a kind of method of estimating
Premium Statistics Regression analysis Variance
Using Stata For Principles of Econometrics . Third Edition I ·1· I ! t . i: f‚ I Lee Adkins dedicates this work to his lovely and loving wife‚ Kathy ‚ Carter Hill dedicates this work to Stan Johnson and George Judge - ’ ‚ . Bicentennial Logo Design: Richard 1. Pacifico Copyright @ 2008 John Wiley & Sons‚ Inc. All rights reserved. No part of this publication may be reproduced‚ stored in a retrieval system or transmitted in any form or by any means‚ electronic‚ mechanical
Premium Regression analysis Econometrics Linear regression
Time series analysis (Session – I) Commands and syntax for data analysis using STATA 1. Open and Run the STATA application • Click on the Data on the task bar and open Data editor • Copy the data from Excel sheet and paste it on the data editor • Preserve the data • Close Data Editor 2. Type “describe” in the command space- Software will show the description of the data set. 3. Graphs i) To Draw a scatter plot of variables
Premium Statistics Time series analysis Time series
CELL2CELL: THE CHURN GAME It was a cold and cloudy morning at Cell2Cell Headquarters as Sarah A. Stanford headed to her cubicle holding a cup of cappuccino in one hand and a bulky database manual in the other. Although a veteran in the database marketing field with a doctorate in Statistics‚ her new assignment was more challenging than she had imagined. Churn Management in the wireless industry was really complicated‚ but Sarah was excited to be working on perhaps the most important marketing
Premium Mobile phone Cellular network
Business Intelligence & Data Mining Assignment 3 – CELL2CELL Case 1. What are the Business Objective(s) and Data Mining Objective(s) for the case? Business Objectives To develop a proactive retention program (including incentive plans) to reduce the customer churn Data Mining Objectives 1. To predict churn accurately 2. To identify key factors that drive customer churn 2. Based on initial data understanding (Using multiplot/ statexplore node)‚ what are some initial obvious
Premium Regression analysis Decision tree Logistic regression
the above model and estimate the extended model by OLS and report the results in equation form‚ including the sample size and 2. Interpret the estimated coefficient on bdrms. Find the correlation between bdrms and log() (using the “cor” command in STATA). Does the correlation agree with your expectations? (h) Suppose that the model in (g) is the true model that satisfies the Gauss-Markov assumptions MLR.1-5. Explain why the estimation results in (e) may not be desirable under this supposition. Comment
Premium Standard deviation Arithmetic mean Sample size