The Stata Omnibus Regression And Modelling With Stata

What is Easy Statistics: Linear Regression? Preview 01:16

What is Linear Regression? Preview 01:08

Learning Outcomes Preview 00:38

Who is this Course for? Preview 00:42

Pre-requisites Preview 00:48

Using Stata Preview 01:00

What is Regression Analysis? Preview 02:45

What is Linear Regression? Preview 01:47

Why is Regression Analysis Useful? Preview 01:36

What Types of Regression Analysis Exist? Preview 02:32

Explaining Regression Preview 03:40

Lines of Best Fit Preview 07:58

Causality vs Correlation Preview 01:54

What is Ordinary Least Squares? Preview 01:04

Ordinary Least Squares Visual 1 Preview 04:14

Ordinary Least Squares Visual 2 Preview 07:38

Sum of Squares Preview 03:12

Best Linear Unbiased Estimator Preview 04:44

The Gauss-Markov Assumptions Preview 00:41

Homoskedasticity Preview 02:13

No Perfect Collinearity Preview 02:34

Linear in Parameters Preview 02:43

Zero Conditional Mean Preview 02:14

How to Test and Correct for Endogeneity Preview 00:51

The Gauss-Markov Assumptions Recap Preview 01:56

Stata - Applied Examples Preview 21:32

What is Easy Statistics: Non-Linear Regression? Preview 01:09

What is Non-Linear Regression? Preview 01:36

What are the main learning outcomes? Preview 00:34

Who is this course for? Preview 00:41

Prerequisites Preview 00:46

Using Stata Preview 00:42

What is Non-Linear Regression analysis? Preview 02:20

How does Non-Linear Regression work? Preview 01:20

Why is Non-Linear Regression analysis useful? Preview 01:34

Types of Non-Linear Regression models Preview 02:44

Maximum Likelihood Preview 01:53

Linear Probability Model Preview 05:40

The Logit and Probit Transformation Preview 01:44

Latent Variables Preview 02:37

What are Marginal Effects? Preview 02:41

Dummy Explanatory Variables Preview 02:45

Multiple Non-Linear Regression Preview 03:17

Goodness-of-Fit Preview 05:39

A note about Logit Coefficients Preview 01:52

Tips for Logit and Probit Regression Preview 01:36

Back to the Linear Probability Model? Preview 02:12

Stata - Applied Logit and Probit Examples Preview 18:27

Introduction Preview 06:05

Regression Modelling - Don't Rush It Preview 15:09

Functional Form - How to Model Non-Linear Relationships in a Linear Regression Preview 11:27

Functional Form - Stata Examples Preview 10:42

Interaction Effects - How to Use and Interpret Interaction Effects Preview 10:14

Interaction Effects - Stata Examples Preview 10:09

Using Time - Exploring Dynamics Relationships with Time Information Preview 13:56

Using Time - Stata Examples Preview 10:20

Categorical Explanatory Variables - How to Code, Use and Interpret them Preview 16:35

Categorical Explanatory Variables - Stata Examples Preview 10:01

Dealing with Multicollinearity - Excluding and Transforming Collinear Variables Preview 09:45

Dealing with Multicollinearity - Stata Examples Preview 09:41

Dealing with Missing Values - Seeing the Unseeable Preview 15:58

Dealing with Missing Values - Stata Examples Preview 14:58

Introduction Preview 01:42

The Stata Interface Preview 07:40

Using Help in Stata Preview 05:23

Command Syntax Preview 04:10

.do and .ado Files Preview 07:37

Log Files Preview 05:11

Importing Data Preview 09:11

Viewing Raw Data Preview 04:21

Describing and Summarizing Preview 07:33

Missing Values Preview 07:41

Tabulating and Tables Preview 08:42

Numerical Distributional Analysis Preview 06:00

Using Weights Preview 05:09

Recoding an Existing Variable Preview 04:53

Creating New Variables, Replacing Old Variables Preview 06:39

Naming and Labelling Variables Preview 07:31

Extensions to Generate Preview 04:58

Indicator Variables Preview 06:58

Keep and Drop Data/Variables Preview 02:58

Saving Data Preview 04:05

Converting String Data Preview 07:15

Combining Data Preview 06:35

Using Macro's and Loop's Effectively Preview 09:33

Accessing Stored Information Preview 06:41

Multiple Loops Preview 04:26

Date Variables Preview 08:24

Subscripting over Groups Preview 11:03

Graphing in Stata Preview 06:29

Bar Graphs and Dot Charts Preview 07:48

Graphing Distributions Preview 09:13

Pie Charts Preview 06:20

Scatterplots and Lines of Best Fit Preview 09:22

Graphing Custom Functions Preview 05:29

Contour Plots (and Interaction Effects) Preview 09:04

Jitter Data in Scatterplots Preview 05:55

Sunflower Plots Preview 07:45

Combining Graphs Preview 07:35

Changing Graph Sizes Preview 04:37

Graphing by Groups Preview 06:27

Changing Graph Colours Preview 07:24

Adding Text to Graphs Preview 08:16

Scatterplots with Categories Preview 10:44

Association Between Two Categorical Variables Preview 06:07

Testing Means Preview 06:38

Bivariate Correlation Preview 06:46

Analysis of Variance (ANOVA) Preview 06:14

Ordinary Least Squares (OLS) Regression Preview 06:39

Factor Variables in OLS Regression Preview 07:30

Diagnostic Statistics for OLS Regression Preview 16:14

Log Dependent Variables and Interaction Effects in OLS Regression Preview 08:21

Hypothesis Testing in OLS Regression Preview 05:16

Presenting Estimates from OLS Regression Preview 07:55

Standardizing Regression Estimates Preview 05:24

Graphing Regression Estimates Preview 10:20

Oaxaca Decomposition Analysis Preview 15:53

Mixed Models: Random Intercepts and Random Coefficients Preview 18:57

Constrained Linear Regression Preview 07:37

Binary Choice Models (Logit/Probit Regression) Preview 07:27

Diagnostics and Interpretation of Logit and Probit Regression Preview 10:33

Ordered and Multinomial Choice Models Preview 12:52

Fractional Logit, Beta Regression and Zero-inflated Beta Regression Preview 14:35

Random Numbers Preview 06:44

Data Generating Process Preview 06:17

Simulating a Violation of Statistical Assumptions Preview 05:52

Monte Carlo Simulation Preview 05:22

Features of Count Data Preview 07:46

Poisson Regression Preview 09:28

Negative Binomial Regression Preview 07:59

Truncated and Censored Count Regression Preview 08:02

Hurdle Count Regression Preview 08:44

What is Survival Analysis? Preview 06:00

Setting up Survival Data Preview 08:35

Descriptive Statistics in Survival Data Preview 08:08

Non-parametric Survival Analysis Preview 08:30

Cox Proportional Hazard's Model Preview 07:24

Diagnostics for Cox Models Preview 05:23

Parametric Survival Analysis Preview 07:39

Setting up Panel Data Preview 08:55

Panel Data Descriptives Preview 09:03

Lags and Leads Preview 10:47

Linear Panel Estimators Preview 12:33

The Hausman Test Preview 05:26

Non-Linear Panel Estimators Preview 08:52

Difference-in-Differences Estimation Preview 13:04

Parellel Trend Assumption Preview 14:53

Difference-in-Differences without Parallel Trends Preview 18:18

Instrumental Variable Regression Preview 20:21

Multiple Endogenous Variables Preview 12:17

Non-linear Instrumental Variable Regression Preview 14:39

Heckman Selection Models Preview 11:32

Introduction and Rate Data Preview 12:12

Cumulative Incidence Data Preview 08:03

Case-Control Data Preview 07:16

Case-Control Data with Multiple Exposure Preview 06:08

Matched Case-Control Data Preview 06:59

Power Analysis: Sample Size Preview 14:55

Power Analysis: Power and Effect Size Preview 08:05

Power Analysis: Simple Regression Preview 08:09

Matrix Operations Preview 10:59

Matrix Functions Preview 06:06

Matrix Subscripting Preview 06:04

Matrix Operations with Data Preview 08:39

The Stata Practice Test