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    2013/3/31 Introduction: The Nature and Purpose of Econometrics Continuous and Discrete Data  What is Econometrics? Literal meaning is “measurement in economics”.  Definition of financial econometrics: The application of statistical and mathematical techniques to problems in finance and accounting.  Continuous data can take on any value and are not confined to take specific numbers.  Discrete data can only take on certain values‚ which are usually integers Types of Data Dummy

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    Economics & Statistics Group Project Analysis of ORACLE Stock Price Page 1 of 38 Contents Contents.................................................................................................................................................. 1 Introduction ............................................................................................................................................ 3 Stepwise regression ......................................................................

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    European Accounting Review Vol. 19‚ No. 3‚ 461– 493‚ 2010 Fair Value or Cost Model? Drivers of Choice for IAS 40 in the Real Estate Industry A. QUAGLI∗ and F. AVALLONE∗∗ ∗ Department of Accounting and Business Studies (DITEA)‚ University of Genova‚ Genova‚ Italy and ∗ ∗ Department of Computer and Management Science (DISA)‚ University of Trento‚ Trento‚ Italy (Received September 2008; accepted February 2010) ABSTRACT The IFRS mandatory adoption in European countries is an excellent

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    References: BERKOVEC‚ "Automobile Market Equilibrium."Ph.D. Dissertation‚ MassachusettsInstitute of Technology‚ 1983. J. AND RUST‚ J. "A Nested Logit Model of Automobile Demand for One-Vehicle Households." Unpublished Manuscript‚ 1982. published Manuscript‚ 1981. CAMBRIDGESYSTEMATICS‚ INC. "Assessmentof National Use‚ Choice‚ and Future Preferencetowardthe Automobile and Other Models of Transportation

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    Syllabus 323063 Empirical Methods in Finance‚ September – December 2013 Teachers (* course coordinator) prof. dr. F.C.J.M. de Jong Room K941 email: f.dejong@uvt.nl dr. J.C. Rodriguez* Room K909 email: j.c.rodriguez@uvt.nl dr. O. Spalt Room K940 email: o.g.spalt@uvt.nl Teaching Assistants Tamasz Barko (t.barko@tilburguniversity.edu) Andreas Rapp (a.c.rapp@tilburguniversity.edu) Zorka Simon (z.simon@tilburguniversity.edu) Lectures: (2 lectures a week) According to the study guide

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    Economics: Good Choice of Major for Future CEOs By Patricia M. Flynn and Michael A. Quinn* Abstract It is often suggested that Economics is a good major for individuals interested in becoming business leaders. Despite this widespread assertion‚ little research has been conducted on this topic. Using the Standard and Poor (S&P) 500 companies‚ this paper examines the validity of such a claim. We find evidence that Economics is a good choice of major for those aspiring to become a CEO. Economics ranked

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    Copa Cruises - Welcome Aboard! Copa Cruises is a 40-year old company that offers dining and sightseeing cruises. What started with only one ship at Maryland’s Eastern Shore‚ is now a big business operating at multiple locations with 40 vessels. Copa operates scheduled tours at least twice daily during the peak travel/tourism seasons at each of its locations. The total number of scheduled tours varies based on the number of vessels available at each location. Copa also offers its ships exclusively

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    enactment of the Sarbanes-Oxley Act. We begin with a sample of firms with internal control weaknesses and‚ based on industry‚ size‚ and performance‚ match these firms to a sample of control firms without internal control weaknesses. Our conditional logit analyses indicate that a relation exists between audit committee quality‚ auditor independence‚ and internal control weaknesses. Firms are more likely to be identified with an internal control weakness‚ if their audit committees have less financial

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    Validity- does the variable accurately reflect the phenomenon you are trying to measure. Reliability- does the indicator consistently assign the same number. Cross-sectional data- no time/multiple entries. Panel data set- multiple entries/over time. Time series-one entry/time. Population: the total set of items or people that a researcher is interested in studying. Sample: a subset of the population- random or nonrandom. Goal is to be representative of population.Criteria for evaluating causal relationships

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    2) Basic Ideas of Linear Regression: The Two-Variable Model In this chapter we introduced some fundamental ideas of regression analysis. Starting with the key concept of the population regression function (PRF)‚ we developed the concept of linear PRF. This book is primarily concerned with linear PRFs‚ that is‚ regressions that are linear in the parameters regardless of whether or not they are linear in the variables. We then introduced the idea of the stochastic PRF and discussed in detail the nature

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