Programming
Random Variables
Maximum Likelihood (write your own commands)
Quantile regression
3 ways to write a probit command
Linear models with heteroskedastic errors
ML and initial values
Programs
3 ways to write a probit command
Linear models with heteroskedastic errors
ML and initial values
Programs
Simulation Tools
Programming
Return Text
Stata Syntax Command's Syntax
Data Management
Data Organization
Pre and Post Test Data Merge/Append
Data Imputation
Data Powertools- Increasing your workload Efficiency
Econometrics
Probability
Seemingly Unrelated Regression - with Correlated Errors
R-squared
Multivariate Least Squares - Multi-Step Estimator and Correlated Explanatory Variables
R-squared
Multivariate Least Squares - Multi-Step Estimator and Correlated Explanatory Variables
Unobserved Effect Models
Average Treatement Effects and Correlated Random Coefficients
Random Coefficients with IFGLS and MLE
Random Coefficients
HLM comparison with OLS - 2 levels, random coefficient on constant
Hierarchical linear modelling
Choosing an appropriate level of analysis
Instrumental VariablesRandom Coefficients with IFGLS and MLE
Random Coefficients
HLM comparison with OLS - 2 levels, random coefficient on constant
Hierarchical linear modelling
Choosing an appropriate level of analysis
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)
Binary Response Models
Average Partial Effects
Probit vs Logit
Simulating Multinomial logit in Stata
Non-linear least squares
Probit vs Logit
Simulating Multinomial logit in Stata
Non-linear least squares
Non-Linear Least Squares (M-estimation)
R vs Stata Non-linear least squares!
Power Analysis with Non-Linear Least Squares: A Simulation Approach
Simultaneous Equations
Demand Simulation and Estimation
Bootstrapping
Write your own estimator and bootstrap the standard errors
Write your own bootstrap command
Stata - Write your own "fast" bootstrap
Bootstrapping Percentile Count Vs. Standard Error Approximation
Regression Discontinuity
Sharp Regression Discontinuity Example and Limitations
Non-Parametric Regression Discontinuity
Non-random Selection
R vs Stata Non-linear least squares!
Power Analysis with Non-Linear Least Squares: A Simulation Approach
Simultaneous Equations
Demand Simulation and Estimation
Bootstrapping
Write your own estimator and bootstrap the standard errors
Write your own bootstrap command
Stata - Write your own "fast" bootstrap
Bootstrapping Percentile Count Vs. Standard Error Approximation
Regression Discontinuity
Sharp Regression Discontinuity Example and Limitations
Non-Parametric Regression Discontinuity
Non-random Selection
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
2012 Election! Simulation and predictions. Obama wins 91% of simulated outcomes
Dynamic Simulations:
Dynamic Simulations:
Psychometrics
Classical Methods
Cronbach's alpha
The True Test Score World
Relating Classics Test Theory Parameters to IRT Parameters
Strictly Parallel Tests Classical Test Theory Results
The True Test Score World
Relating Classics Test Theory Parameters to IRT Parameters
Strictly Parallel Tests Classical Test Theory Results
R & Stata Bridge
Commands in Stata and R
7 commands in R & Stata
7 commands in R & Stata
R vs Stata Non-linear least squares!
Nested functions in R and Stata
Stata is to Accounting as R is to Tetris
Nested functions in R and Stata
Stata is to Accounting as R is to Tetris
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.
ReplyDeleteThanks for this updates but spatial econometrics methods is missing in the set. That is exactly where my research study based. Kindly help!
ReplyDelete