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Don't Fail Your Dissertation: A Guide to Stata VAR Diagnostics

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Don't Fail Your Dissertation: A Guide to Stata VAR Diagnostics

18 206 просмотров · 8 лет назад
CrunchEconometrix
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18 206 просмотров · 8 лет назад
🔒 More advanced videos with Datasets (Excel) + Stata Do-files available as Members-Only - Join P.E.R.S here:    / @cruncheconometrix   P.E.R.S Full List:    • Members-only videos   VAR Estimation and Diagnostics in Stata 13 - Lags Serial Correlation and Normality Tutorial for MSc Dissertation | UK, US, Canada | Stata Time Series Are you writing your MSc Economics, Finance, Banking or PhD dissertation using VAR Estimation and Diagnostics in Stata 13 - #var #Johansen #lags #serialcorrelation #normality - VAR estimation and diagnostics? You are in the right place. How can you explain vector autoregressive (VAR) model? The word "autoregressive" indicates the presence of the lagged values of the dependent variable on the right-hand side of the equation. The word "vector" implies that the system contains a vector of two or more variables. A VAR model is constructed only if the variables are integrated of order one. That is... In this complete Stata 13 tutorial, I show you VAR Estimation and Diagnostics. Master Stata VAR model estimation with this quick recap. Learn how dependent variables function using lagged values in your data. This tutorial provides a concise review of working with a three-variable VAR model in Stata. If you are currently analyzing economic data using variables like PD, IPC, and GDP, this guide is designed to clarify the mechanics of your regression setup. It is specifically intended for students and researchers who have already completed the initial estimation steps and need a refresher on the underlying logic of the model structure. By following this walkthrough, you will better understand how the dependent variable acts as a function of its own lagged values alongside the lagged values of your regressors. This is a critical component for anyone conducting rigorous time series analysis. Applying these Stata econometrics principles correctly ensures your model output is statistically sound and easy to interpret for your final report. Subscribe for weekly econometrics breakdowns, and comment below if you have specific questions about your Stata VAR model setup. 0:00 Core Principles of VAR Modeling 2:06 Transitioning to Diagnostic Testing 2:31 Executing Autocorrelation and Normality Tests 4:00 The Necessity of Post-Estimation Checks MSc, MBA, PhD Economics, Finance, Banking, Financial Economics students in UK (Warwick, Manchester, Leeds, Birmingham, Glasgow, Edinburgh, LSE), US, Canada, Australia, EU using VAR estimation and diagnostics - Stata 13 time series - lags, serial correlation, normality. OFFICIAL LINKS & COMMUNITY: 🌐 Website: https://cruncheconometrix.com 🛒 Data Shop: https://cruncheconometrix.com/view/da... 🎓 Members-Only:    • Members-only videos   ⭐ Join Membership:    / @cruncheconometrix   👥 Facebook:   / cruncheconometrix   💼 LinkedIn:   / cruncheconometrix   🔔 Subscribe: https://www.youtube.com/c/CrunchEcono... FAQ: Q: How can you explain VAR model? A: How can you explain vector autoregressive (VAR) model? The word "autoregressive" indicates presence of lagged values of dependent variable on right-hand side of equation - e.g., Y_t depends on Y_{t-1} - own lags - plus lags of other variables - X_{t-1} - cross lags - The word "vector" implies system contains vector of two or more variables - e.g., Y and X vector - VAR system - A VAR model is constructed only if variables are integrated of order one? That is... Actually VAR can be I(0) in levels or I(1) not cointegrated in differences - VECM if I(1) cointegrated. Q: How to do VAR estimation and diagnostics in Stata 13? A: Steps: varsoc Y X, maxlag(4) - lag selection - AIC, SC - most common lag - e.g., 2 lags - var Y X, lags(1/2) - VAR with 2 lags - estimation - varlmar, mlag(2) - LM test for serial correlation - if p above 0.05 no serial correlation - model adequate, varnorm - normality test - Jarque-Bera - if p above 0.05 residuals normal, varstable - stability - roots inside unit circle - stable. #VAR #Estimation #Diagnostics #Johansen #Lags #SerialCorrelation #Normality #Econometrics #Stata13 #TimeSeries #MScDissertation #UKUniversities #VARTutorial #PhDResearch #DissertationHelp #StataTimeSeries #CrunchEconometrix #VectorAutoregressive #LagSelection #NormalityTest