GSM 5000 MANAGERIAL ECONOMICS PROBLEM-BASED LEARNING 2 PROFESSOR DR. MAD NASIR SHAMSUDIN GROUP 5: AZLINA IDRIS MOHD KHAIRUL AINUDDIN MD ZIN ONG WEE HONG VOO LIDY GM04172 GM04218 GM04213 GM01460 1. Learning Issues 1.1 What is forecasting? Forecasting is the process of making statements about future happenings based on the previous data collected. Forecasting usually is an estimation of the future data‚ happenings‚ trends‚ values‚ etc for the specified date. A commonplace example is estimation of
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BASIC ECONOMETRICS FOURTH EDITION Damodar N. Gujarati United States Military Academy‚ West Point Boston Burr Ridge‚ IL Dubuque‚ IA Madison‚ WI New York San Francisco St. Louis Bangkok Bogota Caracas Kuala Lumpur Lisbon London Madrid Mexico City Milan Montreal New Delhi Santiago Seoul Singapore Sydney Taipei Toronto McGraw-Hill Higher Education A Division of The McGraw-Hill Companies ’EZ BASIC ECONOMETRICS Published by McGraw-HiII/lrwin‚ a business unit of The McGraw-Hili Companies
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The current issue and full text archive of this journal is available at www.emeraldinsight.com/0306-8293.htm IJSE 38‚1 50 Received February 2010 Revised March 2010 Accepted April 2010 An exploration of dynamic relationship between tourist arrivals‚ inflation‚ unemployment and crime rates in Malaysia Chor Foon Tang Department of Economics‚ Faculty of Economics and Administration‚ University of Malaya‚ Kuala Lumpur‚ Malaysia Abstract Purpose – The main purpose of this study is to examine
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Estimating the Factors of Suicides in the Philippines Using a Dynamic Econometric Model Approach In Partial Fulfillment of the Course Requirements in ECOMET2 Submitted by: Lim‚ Kevin Shaun Y. Ong‚ Bruce Jacob R. Tumangday‚ Ronnel G. V25 Submitted to: Dr. Cesar Rufino ECOMET2 Professor Table of Contents I. Introduction 2 1.1 Objectives 4 1.2 Statement of the Problem 4 1.3 Scope and Limitations 5 II. Review of Related
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ECONOMETRICS EXERCISE 3 TRAN THI ANH NGUYET 28 March‚ 2013 1. The data set CEOSAL2.DTA contains information on 177 CEOs. In this sample‚ the average annual salary is $865‚864‚400 with the smallest and largest being $100‚000 and $5‚299‚000‚000‚ respectively. Another most interesting variable is sales with the average being $3‚5329‚463‚000‚ and its the smallest and largest being $29‚000 and $51‚300‚000. Using the data set‚ the following OLS regression is obtained: (1) . ˆ lnsalary = 4.58 + 0
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International Journal of Economics and Financial Issues Vol. 3‚ No. 3‚ 2013‚ pp.743-751 ISSN: 2146-4138 www.econjournals.com Foreign Aid and Economic Growth in Egypt: A Cointegration Analysis Hoda Abd El Hamid Ali Department of Economics and Foreign Trade‚ Faculty of Commerce and Business Administration‚ Helwan University‚ Cairo‚ Egypt. Tel: 00201003452575. Email: hoda_hawary@yahoo.com ABSTRACT: There is a current and growing debate on the effectiveness of foreign aid‚ especially in
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INVESTINGATING THE RELATIONSHIP AMONG CORRUPTION‚ POVERTY AND ECONOMIC GROWTH – NIGERIAN PERSPECTIVE ABSTRACT A plethora of empirical studies attempted investigating the causal relationship between corruption and poverty. But the outcome of those studies produced mixed results in a regression model that captured only two variables. In this investigated bivariate model‚ economic growth as an important variable was not included. In fact‚ omitting such an important variable could seriously affect
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Final Project Part II Sabrina Salas Business 308 Statistics for Managers Professor Edward Kaplan February 4‚ 2013 In today’s society‚ gas and oil prices continue to rise which has a direct impact not only on one’s household but also in the delivery service industry. As prices on gas rise‚ the impact is felt on the consumer as delivery services increase their prices. While many Americans try to conserve their savings‚ this places limits on spending. Due to the advancement
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particularly those involving financial data‚ large and small residuals tend to come in clusters‚ suggesting that the variance of an error may depend on the size of the preceding error. 3 ARCH-GARCH Models Recent development in financial econometrics require the use of models and techniques that are able to model the attitude of investors not only towards expected returns‚ but towards risk (or uncertainty) as well. This fact requires models that are capable of dealing with the volatility
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ECON 3208/3291 Econometric Methods Tutorial 1 (tutorials to be held in week 2) The purpose of the following problem is to review some of the essential material covered in the Intro course. In an attempt to better understand the determinants of tobacco demand‚ consider the following specification of a demand function for daily cigarette consumption: CIGSi = β1 + β2 LINCOMEi + β3 LPRICEi + β4 EDUCi + β5 AGEi + β6 AGESQi + ui where i denotes individuals. This model is estimated using a sample
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