![Jeff Hamrick](/img/default-banner.jpg)
- 37
- 1 833 814
Jeff Hamrick
Приєднався 3 жов 2011
Using the ARCH LM Test in Stata to Investigate the Appropriate Order of an ARCH Specification
Using the ARCH LM Test in Stata to Investigate the Appropriate Order of an ARCH Specification
Переглядів: 32 264
Відео
Fitting an ARCH or GARCH Model in Stata
Переглядів 69 тис.11 років тому
Fitting an ARCH or GARCH Model in Stata
The Skewness-Kurtosis (Jarque-Bera) Test in Stata
Переглядів 150 тис.11 років тому
The Skewness-Kurtosis (Jarque-Bera) Test in Stata
Summarizing Numerical Data in Stata
Переглядів 12 тис.11 років тому
Summarizing Numerical Data in Stata
Computing Multicollinearity Diagnostics in Stata
Переглядів 158 тис.11 років тому
Computing Multicollinearity Diagnostics in Stata
Renaming Variables, Dropping Variables or Cases, and Sorting in Stata
Переглядів 69 тис.11 років тому
Renaming Variables, Dropping Variables or Cases, and Sorting in Stata
Computing Sample Partial Correlation Coefficients in Stata
Переглядів 11 тис.11 років тому
Computing Sample Partial Correlation Coefficients in Stata
Creating Time Indices for Time Series Data in Stata
Переглядів 24 тис.11 років тому
Creating Time Indices for Time Series Data in Stata
Constructing Moving Average Smoothers in Stata
Переглядів 9 тис.11 років тому
Constructing Moving Average Smoothers in Stata
The Restricted F Test for Multiple Linear Regression in Stata
Переглядів 85 тис.11 років тому
The Restricted F Test for Multiple Linear Regression in Stata
Implementing the Ramsey RESET Test in Stata
Переглядів 78 тис.11 років тому
Implementing the Ramsey RESET Test in Stata
Implementing the Link Test in Stata
Переглядів 10 тис.11 років тому
Implementing the Link Test in Stata
Implementing the Breusch-Godfrey Test for Serial Correlation in Stata
Переглядів 94 тис.11 років тому
Implementing the Breusch-Godfrey Test for Serial Correlation in Stata
Tabulating Categorical Variables and Creating Dummy Variables in Stata
Переглядів 126 тис.11 років тому
Tabulating Categorical Variables and Creating Dummy Variables in Stata
Constructing a Deterministic Time Trend Using OLS in Stata
Переглядів 16 тис.11 років тому
Constructing a Deterministic Time Trend Using OLS in Stata
Obtaining Fitted Coefficients for ARIMA-type Time Series Models
Переглядів 3,9 тис.11 років тому
Obtaining Fitted Coefficients for ARIMA-type Time Series Models
Creating the Sample ACF and PACF with Stata
Переглядів 25 тис.11 років тому
Creating the Sample ACF and PACF with Stata
Simple Formatting of Dates in Stata
Переглядів 48 тис.11 років тому
Simple Formatting of Dates in Stata
Creating a Time Series Plot in Stata
Переглядів 34 тис.11 років тому
Creating a Time Series Plot in Stata
Fitting a Simple or Multiple Linear Regression Model in Stata
Переглядів 24 тис.11 років тому
Fitting a Simple or Multiple Linear Regression Model in Stata
Understanding the Summary Output for a Logistic Regression in R
Переглядів 155 тис.11 років тому
Understanding the Summary Output for a Logistic Regression in R
Fitting a Logistic Regression Model in R
Переглядів 9 тис.11 років тому
Fitting a Logistic Regression Model in R
Computations Related to a Chi-Squared Distribution with Stata
Переглядів 3,5 тис.11 років тому
Computations Related to a Chi-Squared Distribution with Stata
Computations Related to a Fisher Distribution with Stata
Переглядів 45711 років тому
Computations Related to a Fisher Distribution with Stata
Computations Related to a Student's T Distribution with Stata
Переглядів 1,4 тис.11 років тому
Computations Related to a Student's T Distribution with Stata
Computing Normal Probabilities with Stata
Переглядів 25 тис.11 років тому
Computing Normal Probabilities with Stata
Executing the Breusch-Pagan Test in Stata
Переглядів 150 тис.11 років тому
Executing the Breusch-Pagan Test in Stata
Using the Durbin-Watson Table of Critical Values to Make a Decision
Переглядів 50 тис.11 років тому
Using the Durbin-Watson Table of Critical Values to Make a Decision
3:42 goodness of model
thank you po
Thank u
How to show the table form of categorical variables to stata command?
How can I have probability?
Hello sir. I am here to ask that Breusch-Godfrey test can be used for NARDL. I am using command in STATA like estat bgodfrey, lags (1/5) small. But it is not working
Hi, when I try to perform panel regression using fixed effect on STATA with dummy variables, STATA "Omit" my variable in the result. It shows "omitted". How can I avoid that?
Could you please make tutorial related how to test multicollinearity and heteroscedasticity on panel Fixed Effect data
I have a question please, because it is (-2.9075 x church), so church variable needs to be minus so that we get plus the result which means the less we go to church, the more happy our marriage is, is that true
Hi, is there any expert in econometrics?
What if we have thousands of observations? I think I might be fundamentally misunderstanding something. We have 23,316 rows. Should we just use a small subset of the total data?
Thank you, you saved my life
funny how a post 10 years ago saves you hours of stress. Thanks Jeff!
This is a brilliant explanation
Thank you
What do I need to to do when I want 5 dummy variables instead of six? Meaning SAAB and SATURN as one Dummy Variable together and teh rest individually?
The model diagnostics was very helpful
Thank you so much for creating this video
hi, do you know what might be the issue if the following error occurs when logging in the variables: flat log likelihood encountered, cannot find uphill direction
straight to the point, thank you for your video
After using your code, I couldn't plot the graph for the return
Great intro thank you.
Have been stock for a couple of hrs trying to figure how to explain statistical significance of my data and you solved everything in less than 7 minutes. Thanks!
How do you then re-add data? Say that you use "drop if height>120", and then you later change your mind about which data you mean to exclude?
Hello, how do i convert numeric (date considered by stata numeric) to string
Wich version of R is he using?
very old. And u should notice that it is R, not R-Studio
if you got limited time play at x1.25...plug
I would be good to explain the dataset up front. Good work anyway.
Excellent job explaining the base categories. I have watched a lot of tutorials and this one by far does the best job explaining what is a 'higher'/baseline category. I think many people get confused with that and there is actually not much about it out there that is being explained. I wish I saw more videos about how do we know what category (for dependent or indecent variable) R is showing us in those tables. Thanks again for filling that gap!
Thanks too much your easy and understandable video presention
Is there a video for the raw data and the steps you followed to do the actual analysis that generates this output? would be great if we can see both videos!thanks!
not sure what the data is nut, but the function to get this output Called is basically just model1 = glm(marriagevariabe ~ churchvariable + sexvariable + educationvariable, family=binomial, data=dataused) and then summary(model1)
Hey Jeff after running the test i got F(3,308)=10.36 and Prob> F=0.000
Thanks for this. Please how can l import a dta file and merge with a CSV file?
Thank you, sir!
I'm trying to make an estimated logistic equation out of this though. with y , x, b0,b1 etc.
cool !!!
so cool !!!, thanks mate 😃
Amazing
your video really help me with my assignment. i hope you always happy and have nice day
How would you test to samples to see if their skewness was equal?
cool !!!
Thanks Jeff. I do appreciate. Keep it up.
Thank you very much
How the null deviance calculated as 79.763 & Residual Deviance calculated as 49.268
wonderful!!
How to find f value from the glm model
Hi Jeff, Please, is the linktest command used only when the outcome/dependent variable is continuous? or can it be used for binary outcomes (for instance, after executing the logistic command for a multivariable regression model)?
What would be the interpretation if I found the difference between the deviances is zero??
Great, would the same method work if the event is "yearly" rather than daily or monthly?!
Very helpful thank you! I have a question. If you wanted to see how the other variables explained the dependent variable price given the make how would your model look like? In other words, if you had a regression model that had five dummies and the other independent variables would you need to interact each dummy variable with an independent variable to see how the make of the car changes the coefficients of the other independent variables? I am asking because I am doing a similar regression with firm specific characteristics and their effects on a dependent variable where I have to take in to account how the industry of the firm affects the coefficients of the firm specific characteristics. Any suggestions would be helpful!
His last video was 8 years ago...
Hey. So what did you end up doing? Did you make interactions for each dummy variable and the independent variable?