Category: Time-Series Analysis STATA Assignment Help | ARIMA & Unit Root Experts

  • Where to get STATA seasonal decomposition help?

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  • Can someone identify ARIMA p d q in STATA?

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    STATA is a powerful statistical software program for data analysis and modeling. Its Advanced Regression and Interpretation of Mixed Dependent Variables (ARIMA) is a feature that helps with modeling complex data by breaking down the time series into components, such as seasonal trends and irregular patterns. However, sometimes it can be difficult to identify the ARIMA p d q in STATA, especially if you are new to this software. In this article, I will explain how to identify ARIMA in STATA, and provide tips for interpreting the results. AR

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  • Who can run heteroskedasticity tests in STATA?

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    In Stata, heteroskedasticity is tested with heteroskedasticity-scaled regression models. This is a type of model that includes squared terms. This type of model is also called a variance-stabilizing model or a heteroskedasticity-consistent model. Squared terms make sure that standard errors don’t grow when covariances become too large. This type of regression is more powerful than a standard regression because it adjusts for the square of the residuals, which allows for large outliers (or too large errors). Squared

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