## Programming

Basics
Maximum Likelihood (write your own commands)

Programming
Return Text
Stata Syntax Command's Syntax

## Data Management

Data Organization
Pre and Post Test Data Merge/Append
Moving Averages & Data Cleaning

Data Imputation

Data Powertools- Increasing your workload Efficiency

## Econometrics

Probability

Unobserved Effect Models
Instrumental Variables
Many Forms of Instrumental Variables
The Weak Instrument Problem
Testing the Rank Condition of IV Estimators
2SQreg IVqreg Cfqreg - zombies

Censored Regression
Dependent variable is bottom coded
Asymmetric Error with Right and Left Sensoring
Tobit Normality Assumption Fail - Tobit Still Works
Cragg's Double hurdle model used to explain censoring

Quantile Regression
Program your own quantile regression v1 - Maximum Likelihood
Quantile Regression Fail
Oh wait! Quantile regression wins!
2SQreg IVqreg Cfqreg - zombies
Quantile Regression (qreg) is invariant to non-decreasing transformations

Random Coefficients
Estimating Random Coefficients on X (using xtmixed)
Estimating Random Coefficients on X (using NormalReg -preferred)

My Own Tools (No Theory Backing Them)
Breaking down R2 by variable
Sticky Probit - clustered bootstrapped standard errors
Non-Parametric PDF Fit Test
Test of PDF Fit - Does not work

Power Analysis
Power Analysis with Non-Linear Least Squares: A Simulation Approach

## Miscellaneous Topics

Special Topics
Value-added modelling iPad example

## Psychometrics

Classical Methods

## R & Stata Bridge

Commands in Stata and R
7 commands in R & Stata

#### 2 comments:

1. Hi, I have a question. I want to see the biasedness of beta when I omit an intercept in regression.How do I make the simulation model? If you know that, plz let me know how to make this.

2. Thanks for this updates but spatial econometrics methods is missing in the set. That is exactly where my research study based. Kindly help!