Applied Time Series Using Stata

0

1

2

3

4

5

Posted on 07 Aug 07:30 | by BaDshaH | 32 views

ARIMA, VAR, VECM, ARCH, GARCH, and structural breaks.

What you'll learn
Understand deterministic and stochastic trends
Identify stationary time series
Determine optimal ARIMA models
Capture policy changes using intervention models
Estimate vector autoregressions and their dynamics
Understand vector error correction models
Explore panel vector autoregressions
Become a confident user of Stata

Requirements
Basic training in applied data analysis would be useful. I recommend my Udemy course Getting started with Stata, which provides a detailed introduction to data analysis and Stata.

Description
This course covers univariate and multivariate time series models, including ARIMA, vector autoregressions, and vector error correction models. In addition, we explore cointegration and panel VARs, which are usually not covered in time series courses. The course starts with an introduction to time series, stationarity, and unit root testing. Then we establish the order of integration of time series before moving into autoregressive integrated moving average models (ARIMA). Intervention analysis is a useful extension of ARIMA models. This method can detect the anticipation of events such as policy changes. Multivariate models such as VARs and VECMs will be covered extensively in this course. Short-term dynamics and long-run equilibrium conditions between time series can be studied using impulse-response functions and cointegration. Most importantly, we will discuss structural break detection, which is crucial in enhancing our ability to forecast time series. Structural breaks can occur at known and unknown points in time. We will learn about methods that can find optimal breakpoints. Furthermore, we will construct ARCH and GARCH models to predict the conditional variance of time series. All material is available on Udemy. You can use older versions of Stata to conduct the analyses. Come join us. Let's enjoy the Joy of Data Analysis!

Who this course is for
If you are interested in time series modeling and forecasting, this course is for you.

Homepage

https://www.udemy.com/course/applied-time-series-using-stata/

Download From Rapidgator


https://rapidgator.net/file/20bb076e23d720baacca682fdf850822
https://rapidgator.net/file/f36e7b070691a7250d17d65ddfb2f1d6
https://rapidgator.net/file/1af71c7125ef0f27a03a0e4d33df0ea6
https://rapidgator.net/file/fabcc689d93648a3b5408c6bf14621de
https://rapidgator.net/file/adad737f574dc9e9aa0795ab0ca2644d
https://rapidgator.net/file/52f09be548ef5f8ad11820b022561408

Download From Ddownload


https://nitroflare.com/view/D4B37D557B0001B
https://nitroflare.com/view/5FCD423F25C30DE
https://nitroflare.com/view/4AEC7DD69CF031D
https://nitroflare.com/view/DA8A0891550095D
https://nitroflare.com/view/72A760837B0E302
https://nitroflare.com/view/931E2905D6B7338