The Secret to a Distinction: How to Discuss VAR Results in Your Dissertation

🔒 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   Discussing Results - VAR Models Part 2 Tutorial for Dissertation | How to Report VAR Results UK, US, Canada Are you writing your MSc Economics, Finance, Banking or PhD dissertation using VAR models and you have estimated VAR, IRF, FEVD and now stuck on how to discuss results in Chapter 4 and Chapter 5 - how to write up VAR results academically for UK/US dissertation? You are in the right place. Many students estimate VAR but don't know how to discuss results - how to link to theory, how to explain economic intuition, how to discuss policy implications. UK/US/Canada/Australia examiners check discussion of results - not just tables. This video shows you how to discuss VAR results. WHAT YOU WILL LEARN: ✓ How to discuss VAR estimation results - what do coefficients mean economically - not just statistical significance but economic significance - e.g., if interest rate coefficient positive in inflation equation - does it match theory ✓ How to discuss VAR stability results - AR Roots inside unit circle = stable - why stability matters for IRF and FEVD validity ✓ How to discuss Granger causality results - unidirectional, bidirectional, no causality - what does it mean economically - e.g., if GDP Granger causes financial development = demand-following hypothesis, if financial development Granger causes GDP = supply-leading hypothesis ✓ How to discuss Impulse Response Functions results - direction, magnitude, persistence, significance - e.g., positive response of inflation to exchange rate shock = pass-through effect - how long shock lasts - does it die out ✓ How to link VAR results to economic theory - Keynesian, Monetarist, supply-leading vs demand-following, pass-through theory - what UK/US examiners want ✓ How to discuss policy implications from VAR results - if variable X Granger causes Y, policy on X can affect Y - example: If government spending Granger causes GDP, fiscal policy effective ✓ How to report and discuss VAR results in academic format for UK/US dissertation - structure of Chapter 4 results and Chapter 5 discussion - tables plus interpretation plus theory plus policy ✓ Common mistakes MSc students make: Only reporting tables without discussion, not linking to theory, not explaining economic intuition, not discussing policy implications, copying EViews output directly without formatting WHO THIS IS FOR: MSc, MBA, PhD Economics, Finance, Banking, Business Analytics students in UK (Warwick, Manchester, Leeds, Birmingham, Glasgow, Edinburgh, LSE, UCL), US, Canada, Australia, EU who have estimated VAR and want to write up results for distinction. OFFICIAL LINKS & COMMUNITY - JOIN 10K+ RESEARCHERS: 🌐 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... WHAT IS COVERED IN THIS VIDEO: How to discuss VAR estimation results - economic vs statistical significance Discussing lag selection results - justifying lag length Discussing Granger causality - unidirectional, bidirectional - economic meaning - supply-leading vs demand-following Discussing IRF results - direction, magnitude, persistence, significance - pass-through example Discussing FEVD results - relative importance - exogenous vs endogenous Linking VAR results to economic theory - Keynesian, Monetarist, etc. Discussing policy implications - if X causes Y, policy on X affects Y How to report and discuss in Chapter 4 and 5 - structure Common mistakes and viva preparation If this helped, LIKE, COMMENT your VAR topic and country, SHARE. FAQ: Q: How to link VAR results to theory? A: For each significant result, explain if it matches theory. E.g., if interest rate positive effect on inflation - does it match Fisher effect or cost-push? Discuss. Q: My Granger causality no causality - how to discuss? A: Discuss why no causality - maybe other variables matter, maybe sample size small, maybe theory suggests no causality. Still valid result. #VAR #VARModels #DiscussingResults #EViews #TimeSeries #MScDissertation #UKUniversities #Econometrics #VARResults #DissertationHelp #HowToReportVAR #TimeSeriesAnalysis #EViewsTutorial #PhDResearch #VARModel #GrangerCausality #IRF #FEVD #ResultsDiscussion" 0:00 VAR Model Estimation Overview 2:36 Obtaining P-Values for VAR Estimates 4:45 Interpreting Durbin-Watson Statistics 5:40 Testing Joint Significance with Wald Test