data. What is the “optimal” model order? ARMA(p‚ q) model order log(ˆ 2 ) σ (0‚0) 0.932 (1‚0) 0.864 (0‚1) 0.902 (1‚1) 0.836 (2‚1) 0.801 (1‚2) 0.821 (2‚2) 0.789 (3‚2) 0.773 (2‚3) 0.782 (3‚3) 0.764 Question 4 “Given that the objective of any econometric modeling exercise is to find the model that most closely ‘fits’ the data‚ then adding more lags to an ARMA model will almost invariably lead to a better fit. Therefore‚ a large model is best because it will fit the data more closely.” Comment on the
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I. Introduction 3 II. What is petroleum? 3-4 III. Source Rock: 4-7 a. Formation of Petroleum in the Source Rocks b. Types of source rocks c. Migration of petroleum 4. Reservoir: 7-11 1. Formation of the Reservoir 2. Types of Reservoir 3. Its main properties 4. The relation between
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Though the project is still virtual - a rolling prototype is at least a year away - the vehicle is widely known on campus as "the Gehry car" for the involvement of the architect Frank Gehry. Dr. Mitchell brought Mr. Gehry‚ who designed the institute’s Stata Center‚ to the program. So far‚ the car is best embodied in a tapered silvery shape‚ part sow bug and part model for a science-fiction film. This is not the way the car will ultimately look. The project is really many cars‚ represented in cardboard
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Applied Econometric Time Series‚ John Wiley & Sons‚ INC. Engle‚ R. E and Granger‚ C. W. J. (1987) ‘Cointegration and Error Correction: Representation‚ Estimation and Testing‚’ Econometrica‚ 55‚ 251-76. Granger‚ C. W. J.‚ 1986‚ ‘Development in the Study of Cointegrated Economic Variables‚’Oxford Bulletin of Economics and Statistics‚ 48‚ 213-28. Granger‚ C. W. J.‚ 1988‚ ‘Some Recent Developments in the Concept of Causality‚’ Journal of Econometrics‚ 39‚ 199-211. Hendry‚ D. F.‚ 1986‚ ‘Econometric Modeling
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Development‚ Income Distribution and Employment in Lagos”‚Working Paper‚ILO‚Geneva. Giwa‚ R. F .(1996). “The Role of the Public and the Private Sector in Economic Development”‚ CBN Economic and Financial Review‚Vol.3 ‚No.4 Gujarati‚ D.N. (2004). Basic Econometrics‚ The Tata McGraw – Hill Companies‚ Inc.‚ India. P.822 Jerome‚ A. (1999). “Unleashing the Private Sector in Nigeria”‚ Afribank Economic and Financial Review‚ Vol. 11‚ No.1 Jhingan‚ M.L.(2002). Macro-Economic Theory‚ 10th Revised and Enlarged Edition
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Institute of Practitioners in Advertising Gold‚ Best Use of Insight‚ IPA Effectiveness Awards‚ 2012 www.ipa.co.uk Cadbury Dairy Milk: A meetha journey Principal authors: Ganapathy Balagopalan and Nirav Parekh‚ Ogilvy & Mather India Contributing authors: Kawal Shoor and Madhukar Sabnavis‚ Ogilvy & Mather India SUMMARY This case shows how advertising re-invented the very essence of the product‚ so it became something different‚ and by doing so‚ unlocked brand growth for Cadbury’s Dairy Milk. It did
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MULTIPLE CHOICE (CHAPTER 4) 1. Using a sample of 100 consumers‚ a double-log regression model was used to estimate demand for gasoline. Standard errors of the coefficients appear in the parentheses below the coefficients. Ln Q = 2.45 -0.67 Ln P + . 45 Ln Y - .34 Ln Pcars (.20) (.10) (.25) Where Q is gallons demanded‚ P is price per gallon‚ Y is disposable income‚ and Pcars is a price index for cars. Based on this information‚ which is NOT correct
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THE CUSTOMS UNION OF BELARUS‚ RUSSIA AND KAZAKHSTAN: GRAVITY MODEL APPROACH TO ESTIMATION OF TRADE FLOWS CHANGES by Tauhen Dzianis A thesis submitted in partial fulfillment of the requirements for the degree of MA in Financial Economics Kyiv School of Economics 2012 Thesis Supervisor: Professor Oleksandr Shepotylo Approved by ___________________________________________________ Head of the KSE Defense Committee‚ Professor Collier Irwin __________________________________________________ __________________________________________________
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Econometrics Assignment 2 Group Members : Eliza Tan 01120120073 Praisya Lordrietta 01120120061 Wirhan Pandutama 0112012 UNIVERSITAS PELITA HARAPAN LIPPO KARAWACI-TANGERANG 2014 Gauss-Markov Theorem The Gauss-Markov Theorem is given in the following regression model and assumptions: The regression model (1) Assumptions (A) or Assumptions (B): Assumptions (A) Assumptions (B) E( If we use
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Probability is used in business to both evaluate financial and decision-making risk and to improve business performance. Business statistics is the science of making sound decisions in spite of uncertainty‚ and it may be applied to fields ranging from econometrics and financial analysis to auditing and market research. Statistical techniques play a significant role in business applications. Factors such as randomness‚ sample
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