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What is Panel Data & Panel Data Analysis Method?
Full text: phantran.net/choosing-fixed-effects-random-effects-or-pooled-ols-models-in-panel-data-analysis-using-stata/
Database: drive.google.com/file/d/1G3NF-jL6Eoz9zrOjad5dMZrv33-Sp_D2/view?usp=sharing
Data in excel: docs.google.com/spreadsheets/d/135p2zph7SL6I5Y5UyCu7eKFzcOitrBLb/edit?usp=sharing&ouid=100029919331612689631&rtpof=true&sd=true
In statistics and econometrics, panel data and longitudinal data are both multi-dimensional data involving measurements over time. Panel data is a subset of longitudinal data where observations are for the same subjects each time.
Time series and cross-sectional data can be thought of as special cases of panel data that are in one dimension only (one panel member or individual for the former, one time point for the latter). A literature search often involves time series, cross-sectional, or panel data. Cross-panel data (CPD) is an innovative yet underappreciated source of information in the mathematical and statistical sciences. CPD stands out from other research methods because it vividly illustrates how independent and dependent variables may shift between countries. This panel data collection allows researchers to examine the connection between variables across several cross-sections and time periods and analyze the results of policy actions in other nations.
A study that uses panel data is called a longitudinal study or panel study.
Panel data can be useful for professionals to collect, depending on what they're studying. Here are some advantages of using panel data when conducting research studies:
+ Results in strong correlations: By combining information from the same test subjects over a long period of time, you can use panel data to correlate two or more variables with limited amounts of statistical uncertainty. For example, a study may collect annual data on the same 100 individuals' levels of education and household incomes over a 15-year period. In this case, the researchers can use panel data to make a positive correlation between education and income.
+ Predicts future trends: Panel data allows you to predict how two or more variables are likely to interact in the future. It does this by tracking how the variables have historically behaved throughout the course of a study. For instance, researchers may be able to predict housing prices over the next five years by referencing panel data on city-specific housing prices from the past 20 years.
+ Collects data for future analysis: The panel data you collect now may provide insight for future studies related to variables included in your data. For instance, a current study on employment in the 1940s may use panel data collected during that decade to help researchers optimize their analysis. The 1940s data may include information like average wages, job types and unemployment rates, which can help current researchers better understand employment trends in the past.
Database: drive.google.com/file/d/1G3NF-jL6Eoz9zrOjad5dMZrv33-Sp_D2/view?usp=sharing
Data in excel: docs.google.com/spreadsheets/d/135p2zph7SL6I5Y5UyCu7eKFzcOitrBLb/edit?usp=sharing&ouid=100029919331612689631&rtpof=true&sd=true
In statistics and econometrics, panel data and longitudinal data are both multi-dimensional data involving measurements over time. Panel data is a subset of longitudinal data where observations are for the same subjects each time.
Time series and cross-sectional data can be thought of as special cases of panel data that are in one dimension only (one panel member or individual for the former, one time point for the latter). A literature search often involves time series, cross-sectional, or panel data. Cross-panel data (CPD) is an innovative yet underappreciated source of information in the mathematical and statistical sciences. CPD stands out from other research methods because it vividly illustrates how independent and dependent variables may shift between countries. This panel data collection allows researchers to examine the connection between variables across several cross-sections and time periods and analyze the results of policy actions in other nations.
A study that uses panel data is called a longitudinal study or panel study.
Panel data can be useful for professionals to collect, depending on what they're studying. Here are some advantages of using panel data when conducting research studies:
+ Results in strong correlations: By combining information from the same test subjects over a long period of time, you can use panel data to correlate two or more variables with limited amounts of statistical uncertainty. For example, a study may collect annual data on the same 100 individuals' levels of education and household incomes over a 15-year period. In this case, the researchers can use panel data to make a positive correlation between education and income.
+ Predicts future trends: Panel data allows you to predict how two or more variables are likely to interact in the future. It does this by tracking how the variables have historically behaved throughout the course of a study. For instance, researchers may be able to predict housing prices over the next five years by referencing panel data on city-specific housing prices from the past 20 years.
+ Collects data for future analysis: The panel data you collect now may provide insight for future studies related to variables included in your data. For instance, a current study on employment in the 1940s may use panel data collected during that decade to help researchers optimize their analysis. The 1940s data may include information like average wages, job types and unemployment rates, which can help current researchers better understand employment trends in the past.
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Відео
The Lagrange Multiplier Test for Random Effects in Panel Data Analysis
Переглядів 1,2 тис.5 місяців тому
Full text: phantran.net/lagrange-multiplier-test-for-random-effects-in-panel-data-analysis/ Database: drive.google.com/file/d/1G3NF-jL6Eoz9zrOjad5dMZrv33-Sp_D2/view?usp=sharing Data in excel: docs.google.com/spreadsheets/d/135p2zph7SL6I5Y5UyCu7eKFzcOitrBLb/edit?usp=sharing&ouid=100029919331612689631&rtpof=true&sd=true In this video, we will introduce the Lagrange Multiplier Test, which is used ...
The Hausman test in Panel Data Analysis by using STATA
Переглядів 9 тис.10 місяців тому
Full text: phantran.net/the-hausman-test-how-to-implement-with-stata/ Database: drive.google.com/file/d/1G3NF-jL6Eoz9zrOjad5dMZrv33-Sp_D2/view?usp=sharing Data in excel: docs.google.com/spreadsheets/d/135p2zph7SL6I5Y5UyCu7eKFzcOitrBLb/edit?usp=sharing&ouid=100029919331612689631&rtpof=true&sd=true The Durbin-Wu-Hausman test (also called Hausman specification test) is a statistical hypothesis tes...
Importing data (excel, text) in Stata
Переглядів 745Рік тому
Full text: phantran.net/opening-and-saving-stata-datasets/ Datasets: phantran.net/wp-content/uploads/2022/09/auto-data.zip One of the easiest ways to get data into Stata is often overlooked: you can copy data from most applications that understand the concept of a table and then paste the data into the Data Editor. This approach works for all spreadsheet applications, many database applications...
Opening and saving Stata datasets
Переглядів 1,3 тис.Рік тому
Full text: phantran.net/opening-and-saving-stata-datasets/ Datasets: phantran.net/wp-content/uploads/2022/09/auto-data.zip Opening and saving datasets in Stata works similarly to those tasks in other computer applications. There are a few differences, however. First, it is possible to save and open files from within Stata’s Command window. Second, Stata allows just one dataset to be active at a...
How to Get Help in Stata
Переглядів 7132 роки тому
Full text: phantran.net/getting-help-in-stata/ Stata’s help system provides a wealth of information to help you learn and use Stata. Let’s illustrate the help system with an example in this video. You will get the most benefit from the example, if you work along at your computer. Follow the above approach: first, Select Help - Search; then, check that the Search all radio button is selected. No...
Choosing Fixed-Effects, Random-Effects or Pooled OLS Models in Panel Data Analysis using Stata
Переглядів 43 тис.2 роки тому
Full text: phantran.net/choosing-fixed-effects-random-effects-or-pooled-ols-models-in-panel-data-analysis-using-stata/ Database: drive.google.com/file/d/1G3NF-jL6Eoz9zrOjad5dMZrv33-Sp_D2/view?usp=sharing Data in excel: docs.google.com/spreadsheets/d/135p2zph7SL6I5Y5UyCu7eKFzcOitrBLb/edit?usp=sharing&ouid=100029919331612689631&rtpof=true&sd=true In this video, we performed step by step the proce...
Random-Effects Regression in Panel Data Analysis using Stata
Переглядів 5 тис.2 роки тому
See text: phantran.net/random-effects-regression-in-panel-data-analysis-using-stata/ Database: drive.google.com/file/d/1G3NF-jL6Eoz9zrOjad5dMZrv33-Sp_D2/view?usp=sharing Data in excel: docs.google.com/spreadsheets/d/135p2zph7SL6I5Y5UyCu7eKFzcOitrBLb/edit?usp=sharing&ouid=100029919331612689631&rtpof=true&sd=true The rationale behind random effects model is that: the variation across entities is ...
Fixed-Effects Regression in Panel Data Analysis using Stata
Переглядів 15 тис.2 роки тому
See text: phantran.net/fixed-effects-regression-in-panel-data-analysis-using-stata/ Database: drive.google.com/file/d/1G3NF-jL6Eoz9zrOjad5dMZrv33-Sp_D2/view?usp=sharing Data in excel: docs.google.com/spreadsheets/d/135p2zph7SL6I5Y5UyCu7eKFzcOitrBLb/edit?usp=sharing&ouid=100029919331612689631&rtpof=true&sd=true Fixed-effects model is used whenever we are only interested in analyzing the impact o...
Find and Install New Commands or Programs in Stata
Переглядів 4,6 тис.2 роки тому
Full text: phantran.net/finding-and-installing-new-commands-or-user-written-programs-in-stata/ This video show you how to find, install and updating user-written programs in Stata. There are a tremendous number of user-written programs for Stata available which, once installed, act just like official Stata commands. You are welcome to install any user-written commands you desire to use, even in...
Stata Variable and Properties Windows - Quick Overview
Переглядів 3,5 тис.2 роки тому
Full text: phantran.net/quick-overview-of-stata-user-interface/ In research, Stata is a popular statistical software package created in 1985 by StataCorp. It has five main windows, and in this video, I introduce the two important ones of Variable & Properties ones; that are always used in data management in Stata. Firstly, The Variables window shows the list of variables in the dataset, along w...
Stata Toolbar - Quick Overview
Переглядів 5312 роки тому
Full text: phantran.net/quick-overview-of-stata-user-interface/ This toolbar contains buttons that provide quick access to Stata’s more commonly used features. If you forget what a button does, hold the mouse pointer over the button for a moment, and a tooltip will appear with a description of that button. Buttons that include both an icon and an arrow display a menu if you click on the arrow. ...
Stata Menus and Dialogs - Quick Overview
Переглядів 8462 роки тому
Full text: phantran.net/quick-overview-of-stata-user-interface/ For making analysis, there are two ways by which you can tell Stata what you would like it to do: you can use menus and dialogs, or you can use the Command window. I will discuss the menus and dialogs here. Here, the most important menus include Data, Graphics, and Statistics, that point-and-click access to almost every command in ...
Stata History Window - Quick Overview
Переглядів 2 тис.2 роки тому
Full text: phantran.net/quick-overview-of-stata-user-interface/ The Stata history window shows the history of commands that have been entered with unsuccessful commands, and their error codes in red by default. The toolbar has two tools for manipulating the contents of the History window. Clicking on the Filter button in the History window title bar toggles the visibility of these tools. Text e...
Stata Command and Results Windows - A Quick Overview
Переглядів 1,2 тис.2 роки тому
Full text: phantran.net/quick-overview-of-stata-user-interface/ in research, Stata is a popular statistical software package created in 1985 by StataCorp. It has five main windows, and in this video, I introduce the two most important ones of Command and Results ones; that are always used in data management, statistical analysis, graphics, simulations, regression, and custom programming in Stat...
Thank you for sharing this video. Would you please upload stata training videos on GMM and other contemporary econometric models?
I will try my best
good
Thanks
Hi, I have 2 dependent variables that I want to test separately, Can I run the Hausman test for both of them separately?
You must run 02 selection processes separately for 02 dependent variables; in each process, run the hausman test for selecting the right model of each dependent variable. Good luck!
Hi, I have 4 dependent variables, when I run the hausman test for each one of them, 2 of them validate the random effect model, and the 2 others validate the fe model. Now which one to choose since I'm doing a multivariate regression? And on top of that, some of my dummy variables (useful ones) are omitted under fixed effect, but I really need to use them.
Dummy variables are typically time-varying variables in panel data, and they are omitted in fixed-effects models. If you want to retain them, you must use between-effects model instead of FE. The selection process remains the same, only the between-effects model is not as commonly utilized. You can search and study about between-effects model. Good luck!
This video makes panel data analysis accessible to all. Excellent work!
An exceptional resource for analysts looking to master panel data techniques.
An exceptional resource for analysts looking to master panel data techniques.
Finally, a tutorial that makes panel data analysis less daunting. Outstanding!
Finally, a tutorial that makes panel data analysis less daunting. Outstanding!
A must-watch for anyone dealing with panel data analysis. Thank you!
An exceptional breakdown of panel data analysis! Clear and concise.
Highly informative and well-presented. A definite must-watch for analysts!
A must-watch for anyone dealing with panel data. Thank you!
This tutorial takes the complexity out of panel data analysis. Fantastic!
This tutorial takes the complexity out of the Lagrange Multiplier Test. Fantastic!
Thank you for breaking down the Lagrange Multiplier Test so effectively!
This video makes understanding the Lagrange Multiplier Test a breeze! Excellent work.
Thoroughly impressed with the depth of explanation in this tutorial. Well done!
Clear, concise, and immensely helpful. Exactly what I needed for analysis!
Impressive walkthrough of the Lagrange Multiplier Test! Highly recommended.
Thumbs up for the clarity and depth of this Lagrange Multiplier Test tutorial!
Fantastic job at elucidating the Lagrange Multiplier Test. Thank you!
This video simplifies the Lagrange Multiplier Test like no other. Exceptional!
As someone new to panel data analysis, this tutorial is a lifesaver. Great job!
Thoroughly impressed with the depth of explanation. Well done!
Great job at simplifying the Lagrange Multiplier Test. Highly appreciated!
Clear, concise, and immensely helpful. Exactly what I needed for analysis!
Great job at simplifying panel data analysis. Highly appreciated!
Clear, concise, and immensely helpful. Exactly what I needed!
This video is a game-changer for panel data analysts. Well worth watching!
Thank you for breaking down panel data analysis so effectively!
As someone new to panel data, this tutorial is a lifesaver. Great job!
An exceptional breakdown of panel data analysis! Clear and concise.
Thumbs up for the clarity and depth of this panel data tutorial!
A superb explanation of the Lagrange Multiplier Test! Clear and concise.
Bravo! Thoroughly impressed with the explanation of panel data analysis.
This video makes understanding the Lagrange Multiplier Test a breeze! Excellent work.
Fantastic job at elucidating panel data analysis. Thank you!
Finally, a tutorial that makes the Lagrange Multiplier Test easy to grasp. Thank you!
Thumbs up for the clarity and depth of this Lagrange Multiplier Test tutorial!
Bravo! Thoroughly impressed with the breakdown of the Lagrange Multiplier Test.
Impressive walkthrough of panel data analysis! Highly recommended.
This video makes understanding panel data a breeze! Excellent work.
Clear, concise, and incredibly insightful. A must-watch for analysts!
Kudos for simplifying panel data analysis! Very helpful.
Finally, a tutorial that makes panel data analysis easy to grasp. Thank you!
Finally, a tutorial that demystifies panel data analysis! Great job!
Highly informative and well-presented. A definite must-watch for analysts!
A gem of a tutorial for understanding the Lagrange Multiplier Test. Brilliant!
Invaluable resource for anyone tackling panel data. Well done!