University of Hong Kong Introductory Econometrics (ECON0701)‚ Fall 2013 22 November 2013 Further Issues in Using OLS with Time Series Data • Last time‚ we discussed the assumptions necessary for OLS parameter estimates to be consistent in a time series context. • We also compared these assumptions with the assumptions necessary for OLS to be unbiased. • In general‚ the conditions are more restrictive for OLS to be unbiased than for OLS to be consistent‚ so in a time series context‚ it
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Instrumental variables and panel data methods in economics and finance Christopher F Baum Boston College and DIW Berlin February 2009 Christopher F Baum (Boston College) IVs and Panel Data Feb 2009 1 / 43 Instrumental variables estimators Regression with Instrumental Variables What are instrumental variables (IV) methods? Most widely known as a solution to endogenous regressors: explanatory variables correlated with the regression error term‚ IV methods provide a way to
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Bufn758Q—Quantitative Investment Strategy Name & Student ID #:_____________________ Professor Wermers Spring 2010 Numeric Investors 1. Briefly discuss the two momentum strategies of Numeric Investors. First approach – Based on past changes in analysts’ estimates‚ where they would cluster their forecasts of company earnings‚ and would revise their earnings estimates incrementally instead of big jumps. This would force analysts to update their estimates and would make consensus estimates
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ISSUES IN ACCOUNTING EDUCATION Vol. 26‚ No. 1 2011 pp. 181–200 American Accounting Association DOI: 10.2308/iace.2011.26.1.181 A Case Study on Cost Estimation and Profitability Analysis at Continental Airlines Francisco J. Román ABSTRACT: This case exposes students to the application of regression analyses to be used as a tool pursuant to understanding cost behavior and forecasting future costs using publicly available data from Continental Airlines. Specifically‚ the case focuses on
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TABLE OF CONTENTS List of Tables i List of Figures iv Abstract v Key Terms ix CHAPTER-1 Introduction 1.1 Introduction to Dividends 1 1.2 A Short History of Dividend Policy 6 1.3 Dividend Policy 9 1.4 Economic Rationale to Dividends 12 1.5 Dividend Policy and its Linkages with other Financial Policies 15 1.6 Pure Vs Smoothed Residual Dividend Policy 16 1.7 Dividend Declaration Process 17 1.8 Alternative Forms of Dividends 18
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Introduction Malaysia is centrally located in the ASEAN region with a population of more than 500 billion people‚ Malaysia offers vast opportunities for global automotive and component manufacturers to set up manufacturing and distribution operations in the country. The rapid growth of the economy and the high purchasing power of its population have made Malaysia the largest passenger car market in ASEAN. At the same time‚ the establishment of national car projects‚ PROTON and PERODUA‚ has transformed
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Basic Estimation Techniques In order to implement the various techniques discussed in this class‚ the students must be able to determine the mathematical relation between the economic variables that make up the various functions used in economicsdemand functions‚ production functions‚ cost functions‚ and others. For example‚ a manager often must determine the total cost of producing various levels of output. As you will see later‚ the relation between total cost (C) and quantity
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Uttam Kumar Dey Marketing Analytics Assignment 3 Part 1 Do box office rankings affect a movie’s long-term box office performance? To understand the effect of a movie’s box office rankings has on its box office performance‚ Nonlinear Estimation models can be used to interpret the relationships and make recommendations. First‚ let us familiarize ourselves with the relationship‚ in the movies database‚ we are trying to analyze. This relationship is as below: Subsequent Earnings = b0*exponential(b1*ReleaseRank)
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Carleton University Department of Economics ECON 2202 C Statistical Methods in Economics and Business II 2013 Winter Instructor: Valerie Rochester Classes: Monday and Wednesdays ‚ 8:35 am – 9:55 am Tutorials: Wednesday‚ 10:05 am – 11:25 am Office: B-840 Loeb Phone: 613-520-2600 ext. 3769 (no voice mail) Office Hours: Wednesdays‚ 10:15 am – 11:00 noon‚ or by appointment E-mail: valerie_rochester@carleton.ca Please use the cuLearn e-mail facility for all course-related
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ECONOMIE EN BEDRIJFSKUNDE UNIVERSITEIT VAN AMSTERDAM Short Guide to Stata 1. Introduction This guide gives an overview of some basic commands of Stata. Stata contains many more commands. Some of these will be used in the computer exercises of Econometrics‚ but lots will not be used at all. With Stata you will be able to perform complex statistical and econometrical calculations and estimations. It is even possible to program your own routines. Below‚ Stata commands are set in lettertype Courier
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