![JDEConomics](/img/default-banner.jpg)
- 50
- 970 575
JDEConomics
Canada
Приєднався 9 лис 2020
Hello Everyone! Welcome to my Channel.
My name is Juan! I have a Master of Arts in Business Economics and a Bachelor of Science in Economics.
By subscribing to my channel you will get free access to different content related to economics research. My videos will help you learn EViews, Stata and Latex with Overleaf. Acquire the required skills to conduct different tests, estimate economic models and forecast. Finally, with Latex/Overleaf, you will be able to write your research paper or assignments in a fancy way. Make your paper style look like a published paper! Master your thesis/dissertation, or even your time series/statistics/econometrics courses.
In the video descriptions I will be including paper recommendations, data sources to download data, and many other contents related to Economics and research. Also, a link to buy exclusive guides.
Visit my website for all the tutorials:
www.jdeconomics.com
Visit my store to buy exclusive material:
www.jdeconomicstore.com
My name is Juan! I have a Master of Arts in Business Economics and a Bachelor of Science in Economics.
By subscribing to my channel you will get free access to different content related to economics research. My videos will help you learn EViews, Stata and Latex with Overleaf. Acquire the required skills to conduct different tests, estimate economic models and forecast. Finally, with Latex/Overleaf, you will be able to write your research paper or assignments in a fancy way. Make your paper style look like a published paper! Master your thesis/dissertation, or even your time series/statistics/econometrics courses.
In the video descriptions I will be including paper recommendations, data sources to download data, and many other contents related to Economics and research. Also, a link to buy exclusive guides.
Visit my website for all the tutorials:
www.jdeconomics.com
Visit my store to buy exclusive material:
www.jdeconomicstore.com
Download and Install R and R Studio in Simple Steps
Download and Install R and R Studio in Quick and Simple Steps!
In this video I show you How to Install R and RStudio on Windows: Step-by-Step!
Link to download R: cran.rstudio.com/
Link to download R Studio: posit.co/download/rstudio-desktop/
Else you can access both easility at: www.jdeconomics.com/r-course/download-r
About R and RStudio
R is a programming language and software environment specifically designed for statistical computing and graphics. It is widely used among statisticians, data miners, and researchers for data analysis and developing statistical software. R provides a wide variety of statistical techniques (such as linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, etc.) and graphical methods, and is highly extensible through packages.
RStudio is an integrated development environment (IDE) for R. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging, and workspace management. RStudio is designed to make R easier to use, and it provides powerful tools to help users write and manage R scripts, analyze data, and create visualizations.
-------------------------------------
------------------------------------------------------------------------------------
👉🏻Subscribe to my channel for FREE:
ua-cam.com/channels/5P21WGFO4WRUlAiGLcwymg.html
👉🏻Become a member of my channel and enjoy PREMIUM videos:
ua-cam.com/channels/5P21WGFO4WRUlAiGLcwymg.html/join
👉🏻Buy any of my files to replicate my content at:
jdeconomicstore.com/
👉🏻Follow me on social media:
juandamico.start.page/
👉🏻Donations:
www.paypal.com/paypalme/JDEconomics?locale.x=en_US
👉🏻Contact me for research/job proposals, and/or inquiries:
juandamico@jdeconomics.com
👉🏻 Please help me grow my channel by liking the video, leaving a comment and sharing the channel with your network (social media).
Best Regards,
Juan D'Amico
JDEConomics
In this video I show you How to Install R and RStudio on Windows: Step-by-Step!
Link to download R: cran.rstudio.com/
Link to download R Studio: posit.co/download/rstudio-desktop/
Else you can access both easility at: www.jdeconomics.com/r-course/download-r
About R and RStudio
R is a programming language and software environment specifically designed for statistical computing and graphics. It is widely used among statisticians, data miners, and researchers for data analysis and developing statistical software. R provides a wide variety of statistical techniques (such as linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, etc.) and graphical methods, and is highly extensible through packages.
RStudio is an integrated development environment (IDE) for R. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging, and workspace management. RStudio is designed to make R easier to use, and it provides powerful tools to help users write and manage R scripts, analyze data, and create visualizations.
-------------------------------------
------------------------------------------------------------------------------------
👉🏻Subscribe to my channel for FREE:
ua-cam.com/channels/5P21WGFO4WRUlAiGLcwymg.html
👉🏻Become a member of my channel and enjoy PREMIUM videos:
ua-cam.com/channels/5P21WGFO4WRUlAiGLcwymg.html/join
👉🏻Buy any of my files to replicate my content at:
jdeconomicstore.com/
👉🏻Follow me on social media:
juandamico.start.page/
👉🏻Donations:
www.paypal.com/paypalme/JDEconomics?locale.x=en_US
👉🏻Contact me for research/job proposals, and/or inquiries:
juandamico@jdeconomics.com
👉🏻 Please help me grow my channel by liking the video, leaving a comment and sharing the channel with your network (social media).
Best Regards,
Juan D'Amico
JDEConomics
Переглядів: 217
Відео
Confidence Bands in Stata Tutorial
Переглядів 193Місяць тому
Confidence Bands in Stata Tutorial. In this short video I show you how you can shade the area of your forecast confidence bands. In the original Stata tutorial, we had forecasted Brent cude oil prices using a simple AR Model. Then we calculated and added the forecast confidence bands. In that example, the bands were not shaded. Instead t was a plain dash line. Some users have asked me how to sh...
How to calculate the Inflation rate using the CPI series
Переглядів 8163 місяці тому
How to calculate the Inflation rate using the CPI series in Stata In this hands-on tutorial in Stata, I teach you how to calculate the 12-month inflation rate change and the 1-month inflation rate change using the Consumer Price Index (CPI) for the USA. I also teach you how to plot the two series together and make it look professional. In the tutorial, I cover the commands to generate lagged va...
Three Equations New Keynesian DSGE Model
Переглядів 2,9 тис.5 місяців тому
Three Equations New Keynesian DSGE Model In this session, we'll break down the fundamental equations of the New Keynesian DSGE model in simple terms. Link to buy PART 2: jdeconomicstore.com/b/nk-dsge-model The New Keynesian DSGE model revolves around three main equations that help us understand how the economy works: Output Gap Equation: This equation shows how the difference between actual and...
Time Series Analysis in Stata - AR Forecast
Переглядів 5 тис.8 місяців тому
Time Series Analisys in Stata - AR Forecast Produce a time series forecast in STATA using an autoregressive (AR) model. In this time series analysis in stata video tutorial, you will learn how to produce an AR forecast using STATA''s built in forecasting tool. Learn how to Estimate and forecast Crude oil Prices! As an example, we will use Brent Crude oil prices series. The series is transformed...
Create and Edit Economics Graphs in Stata
Переглядів 2,7 тис.8 місяців тому
Create and Edit Economics Graphs in Stata In this tutorial, I will teach you how to create and edit economics graphs in Stata. Creating graphs in Stata is not too complicated; however, it is key to understand what to include in an economics graph. Professionally editing economics graphs is crucial to presenting your data to the public and effectively making your points. In this Stata graphs vid...
Multicollinearity in Linear Regression - EViews
Переглядів 2,9 тис.10 місяців тому
Welcome to our in-depth tutorial on Multicollinearity in Linear Regression using EViews! 📊 In this video, we'll dive into the world of multicollinearity, a common issue that can affect the accuracy of your linear regression models. Whether you're a beginner or an experienced data analyst, this tutorial will provide you with valuable insights and practical tips on dealing with multicollinearity ...
Time Series Analysis Stationarity in Python
Переглядів 2,6 тис.11 місяців тому
📊 Time Series Analysis Stationarity in Python - Tutorial Learn how to test if your series is stationary and in case it is not stationary, I will show you have to transform you non stationary series into stationary. Welcome to a new tutorial on JDEConomics! In this video, we dive into the critical topic of stationarity in time series analysis using Python. If you're new here, make sure to subscr...
Test for Unit Roots on Multiple Time Series at Once EViews
Переглядів 6 тис.Рік тому
Test for Unit Roots on Multiple Time Series at Once in EViews In this tutorial, we'll explore how to conduct a unit root test on multiple time series at once in EViews, a popular econometric software package. Many people often wonder how to automate the process of running an ADF or Phillips Perron unit root test on multiple variables when working with a model that involves several variables. In...
VAR Model Example in STATA
Переглядів 11 тис.Рік тому
VAR Model Example in STATA. Time Series VAR Tutorial: Stata. VAR Forecast Tutorial Example. VAR model Stata tutorial. Learn how to produce out of sample forecasts and add confidence bands in a vector autoregression (VAR) model in Stata. Discover how to produce accurate out-of-sample forecasts with confidence bands using VAR models in Stata. This comprehensive tutorial uses the example of analyz...
Beginners Course: Intro to DSGE models in Dynare-Matlab
Переглядів 6 тис.Рік тому
Are you a beginner to DSGE models and Dynare-Matlab, but want to get started quickly? In this video, we will introduce the basics of DSGE modeling and provide an easy-to-follow course on how to set up and run a model in Matlab using Dynare. I will explain the steps needed to estimate parameters and solve the model as well as demonstrate some useful tips for successful implementation. 👉Link to B...
Add notes under table - Latex tutorial
Переглядів 6 тис.Рік тому
Are you looking to add notes to tables or graphs in Latex? Look no further! This tutorial provides a simple and easy method to add notes to your tables using Latex with Overleaf. By using the "\begin{minipage}{length}" command, you can create a small box under the table where you can insert your notes. With the "\small" command, you can adjust the font size of your text, and with the "\vspace{0...
Intro to Data Analysis Visualization with Python, Matplotlib and Pandas
Переглядів 5 тис.2 роки тому
Intro to Data Analysis Visualization with Python, Matplotlib and Pandas: 📊 Introduction and Overview: Time series and forecasting in Python, covering importing data, plotting, formatting graphs, and exporting images using Jupyter Notebook, Pandas, and Matplotlib. 📊 Importing Data: Learn how to import an Excel dataset using Pandas, specifying the file path and setting the first column as the ind...
Install Anaconda Python Jupyter Notebook
Переглядів 7812 роки тому
Install Anaconda Python Jupyter Notebook A Beginner's Guide to Installing Python Anaconda. In this video, I'll show you how to download and install Python Anaconda on your Windows machine in a few minutes. Anaconda is a popular distribution of Python that includes many of the most popular Python packages for data science, such as Jupyter Notebook, NumPy, and Pandas. We'll show you how to downlo...
DSGE Models in Stata (8): Forecast Tutorial
Переглядів 4,1 тис.2 роки тому
DSGE Models in Stata (8): Forecast Tutorial
Hodrick-Prescott (hp) filter: EViews tutorial
Переглядів 14 тис.2 роки тому
Hodrick-Prescott (hp) filter: EViews tutorial
DSGE Models (7) - Steady State and Impulse Response Functions
Переглядів 7 тис.2 роки тому
DSGE Models (7) - Steady State and Impulse Response Functions
Data filtering and Calibration Stata tutorial
Переглядів 10 тис.2 роки тому
Data filtering and Calibration Stata tutorial
Real Business Cycle Model: Competitive Equilibrium
Переглядів 4,7 тис.2 роки тому
Real Business Cycle Model: Competitive Equilibrium
Real Business Cycle Model: Firms Problem
Переглядів 5 тис.2 роки тому
Real Business Cycle Model: Firms Problem
Real Business Cycle Model: Household's Problem
Переглядів 10 тис.2 роки тому
Real Business Cycle Model: Household's Problem
Learn Real Business Cycle model - Macroeconomics
Переглядів 23 тис.2 роки тому
Learn Real Business Cycle model - Macroeconomics
ARIMA model forecast with confidence interval in EViews
Переглядів 10 тис.2 роки тому
ARIMA model forecast with confidence interval in EViews
Cointegration and Error Correction Model in Stata
Переглядів 38 тис.2 роки тому
Cointegration and Error Correction Model in Stata
How to estimate arch model - eviews tutorial complete
Переглядів 36 тис.3 роки тому
How to estimate arch model - eviews tutorial complete
Easiest way to make tables in latex - shortcut
Переглядів 19 тис.3 роки тому
Easiest way to make tables in latex - shortcut
This is a master class. I am looking forward to you doing a video on the ARDL. Am sure it will be superb like the rest of your videos
Many thanks! Will do! Please subscribe to the channel! Best, JD
@@JDEconomics I am a subscriber already. Thanks for your content
Thank you for your video. I have a question. I read studies used firstly ARDL then used VAR or VECM. When do we use firstly ARDl then VAR orVECM?
Depends. ARDL allows for different lags, while VEC is used for cointegrated variables. VAR is for models where all the dependent variables have lags of the same order. I hope that helps. Regards
Thank you for your response.
Excellent. The simplest way defenitively. Just suggest to use: \begin{minipage}{\textwidth} to avoid to specify the size of the table.
Great suggestion! Warm regards, JD
My data start at 2022, but when i comand for daily its start form 1960, is there any solution?
Hey! Did you download the free do file?
Excellent work. For me very helpful in learning and understanding the concept with practical example.
Glad it was helpful!
great tutorial. thanks so much. God bless you.
You are so welcome!
Greetings can you please do year on year changes using quarterly data
Thank you so much. Can you give us please the link or the website where you take your Data, for exemple the gap of Brazil and Argentina in your previous video ? Thank you :)
Most of the data is FRED! Cheers
A request to have a seperate vidoe on explain how to use the SVAR option menu for the Identification. A*, B*, S and F matrix
Sounds good! Feel free to subscribe to my channel!
@@JDEconomics I have subscribed already 😂😂😂. I always come back here.
Thank you
Hello. I would like to buy the evews work file but the link is broken
jdeconomicstore.com All my files are there! Thanks
How do you create time series variables with minute interval. I tried using tc() but does not work ???
does not work for me. when I type the same gen command the variables are created with no values inside
I had observation set at 0 sorry
Great you figured it out! Good job
Great!
Hey Juan, i am master student in Economics and your videos are of high quality and really help to understand the NK-framework! Thank you!
Great to hear! Please feel free to share my channel with your network so I can keep expanding. You can consider getting the NK material I got for sale too. Best regards! Thanks for your message and good luck!
thanks a lot , it is very clear and easy to apply
You are most welcome
there is no any wasted second in the video. just the facts and short video. hats off.
Thanks! Feel free to subscribe to the channel and share it with others. Best, JD
Please start working on octave
Hi! Thanks for your feedback
Invaluable video! Thanks!
Thanks! Please share it with your network. Many thanks!
How can we get the predicted values?
Very very Helpful.. Thanks a ton!
Glad it was helpful!l
Amazing tutorial JD!!!
Glad you enjoyed it
Hi, thanks for sharing. When I try to estimate the rho, I have this error “=expo not allow”. Will it be because I have more shocks?
Hey, I’m not sure about that error message. Sorry about that
Hi, thanks for sharing. How can we write the equation if we have to periods forward instead of one?
The GARCH approach helps to model parsimonious volatility effects compared to the ARCH approach. This is beautiful.
Thanks! Please feel free to subscribe to my channel and share it with your close ones. Best, JD
Thanks for sharing this. May I please know what version of EViews you used in this video?
Eviews 13
@@JDEconomics Is the Add ins feature also available on older versions of EViews?
@@brianogbogu6590I would think so. You can check in the add ins
Sigo tu canal desde hace 1 año. Muy prolijas e intuitivas exposiciones. Ojalá algún día hagas un video sobre Modelos de espacio de estado y filtro de Kalman. Saludos
Gracias! Y desde luego.. lo agrego al listado. Hay algunos tópicos que no los sé. Los tengo que revisar y luego probar en el software. Por eso es que algunos temas que piden aún no los he resuelto
Great and well educating video 👍 Please, what should I do when my Engle and Granger and P. Oularis cointegration P-values are greater than 0.05 level of significance?!
Never find such a useful video on UA-cam. Thank You Sir keep it up.
Thanks. Please share it with your network and feel free to subscribe to the channel. Regards.
I need a good video for ARDL models and System GMM. Ill be grateful.
Dear Sir, I tried to replicate the results of Stock and Watson (2001, JEP) using quarterly data from 1960:q1 to 2023:q4, but I found that while inflation and unemployment rates are stationary, but the Federal funds rate is non-stationary. Is it okay to for them to simply use the original series of the Federal funds rate to construct the VAR model?
Hi,whenever i am trying to do the forecast in stata i am getting r(198) everytime even though i have set the time variable "fcast compute fc,step(10) the time variable may not be missing r(198); can you please help ?
The link to download the free dataset doesn't work...
Thanks. I’ll fix it today. Regards
@@JDEconomics That'd be great, thanks for the quick reply! Your explanation is great and I'd love to replicate the results on my eviews. At the moment, Google drive says that I'm not authorised to access the file
For unit root test, how should i know whether to use intercept or intercept & trend option? One of my variables shows non-stationary at first difference in intercept but stationary when I choose intercept & trend.
Hi. Including an intercept means that the series is stationary around a non zero mean. Trend and intercept means its stationary around a trend. In that case you still got to detrend the series using first differences or modelling the trend. Regards
Hi Juan! I just want to know how I could resolve the model with the Uhlig's toolkit. Could you help me with that please?
thank you
You're welcome
i checked on S&P 500 but after estimating a ARCH 2 model, my mean equation ar(1) ma(1) that was significant when i estimate ls ar(1) ma(1) ,are not significant any more. likewise my arch(2) coefficients are significant . what is the problem?
hi thanks for your good video my problem is sum of my coefficients in arch model bigger than one but i have good response on ARCH estimate, in this case we should use GARCH model too?
You could try a Garch Model.
Great. This video is very helpful. Thank you very much. Very much appreciate your time and effort
Glad it was helpful!
Excellent, you helped me thank you
Glad it helped!
My data are missing coz they're negative, in the step add variabel with log. Pls help
Johansen?
Its not Johansen that method. Johansen is for multivariate models
I would like to thank you for this video!!! I have to say I felt so lost with these statistical experiments, and now after i received the same result as you showed, by myself, i feel i can achieve anything in this world. I am deeply grateful to your work!!
I'm so glad! Thanks for your kind comment
what is the 1.645?
Thank you so much for your video, very helpful and informative
Glad it was helpful!
Didn't see where you impose the zero value of the cholesky decomposition, tanks!
I didn’t impose it. It’s the default way to identify the model. regards,
Hello, I want to ask. So let say the data now is stationary and we can apply the model (let say ARIMA) and get the forecast data, but right now the forecast data is the transform after the logs and multiply right ? Is this values was the actual data that we can use right now or I still need to transform it again for the actual values ?
Thanks! incredibly helpful
You're welcome!