Lahore University of Management Sciences. ECON 330 Econometrics Fall
|
|
- Hugh Parker
- 5 years ago
- Views:
Transcription
1 ECON 330 Econometrics Fall Instructor Dr. Farooq Naseer Room No. 244 Office Hours Wednesday 11:15 am-1:15 pm or by appointment Telephone Ext 8073 Secretary/TA TA Office Hours Course URL (if any) Course Basics Credit Hours 4 Lecture(s) Nbr of Lec(s) Per Week 2 Duration Recitation/Lab (per week) Nbr of Lec(s) Per Week Duration Tutorial (per week) Nbr of Lec(s) Per Week Duration Course Distribution Core Elective Open for Student Category Close for Student Category x Undergrad, Grad COURSE DESCRIPTION This is the second course in the statistics/econometrics sequence and looks at the broad range of estimation problems that often arise in economic applications. In particular, we look at the criteria used to select a particular estimation method and the scenarios under which the OLS estimator becomes sub-optimal. The purpose of this course is to teach students the basics of econometric theory and also to give them hands-on experience with using a statistical package Stata, which will be helpful in later applications especially for those students who choose to do an empirical senior project. COURSE PREREQUISITE(S) <Probability AND Statistics> OR <Statistics and Data Analysis>; Microeconomics 1 Or Principles of Microeconomics; Macroeconomics 1 Or Principles of Macroeconomics COURSE OBJECTIVES Learning Outcomes
2 On successful completion students will: 1. be able to develop a suitable regression model for a variety of empirically interesting problems and validate the selected model via a battery of tests 2. be able to compare different estimators based on their finite sample and asymptotic properties 3. develop a basic understanding of time series econometrics and be able to handle and make use of panel data 4. be proficient in the use of Stata for econometric analysis Grading Breakup and Policy Assignment(s): 20% (6 assignments) Quiz(s): 30% (5 quizzes) Project: 15% Final Examination: 35% Course Policies Quizzes: There will be four announced in-class quizzes, which will take place through the semester. There will be one announced inlab quiz towards the end of the term. Lab Attendance: Attendance in the labs is highly recommended and we will be taking attendance during each lab session. Anyone who does not arrive within the first 15 minutes of the lab will be marked as absent from that lab. An individual who is absent in more than THREE labs will be given a grade of zero in one of his highest scoring lab assignments. Lab Submission: Students are encouraged to work on the assignments in groups of 2-3 students. However, the submission of assignment is to be done individually by each student in their own handwriting. There will be group grading of assignments (an individual s assignment from within a group will be picked randomly for grading and the same grade will be assigned to the entire group for that lab). Please note that it is possible under this grading scheme for all group members to get zero even if one group member does not submit the assignment (or its correct solution). This is to improve learning by encouraging discussion within groups while also ensuring that everyone gets to do the assignment. Please note that sharing or discussing assignments with anyone outside your own group is NOT allowed and makes grounds for a disciplinary action. Group formation is voluntary but some groups may need to be adjusted. Project: The objective of the project is to provide you an opportunity to apply the skills you learn in class to a real world application. Several data sets will be made available to students for this purpose. The project would require you to pick a data set from this collection and write a short paper based on your analysis. The project grade will be determined on the basis of an intelligent use of this data to address the research question and an appropriate interpretation of results. Like the labs, the project would be group-based and we may conduct vivas from any of the group members. Students are encouraged to discuss their project with me (during office hours) or with their TAs. Missed Quizzes/Assignments: As per the rules of the Student Handbook, students must contact the instructor with a petition form and valid supporting documents either before or within three days of missing an instrument. The decision on such petitions will be made on a case-by-case basis and may involve grade deduction before assigning the student s quiz average. Under ordinary circumstances, there will be no make-up for missed assignments. Instrument Grading: All the course instruments are checked as thoroughly and fairly as possible and the process consumes a lot of your TAs and instructor s time. Therefore, and to ensure uniformity in grading across all students, there will be no ad-hoc adjustment of marks ex-post. While we encourage student queries meant to improve learning, please note that your TAs are not authorized to change your marks once an instrument has been graded. Examination Detail Midterm Exam Yes/No: Yes Combine Separate: Separate Duration: Preferred Date: TBA Exam Specifications:
3 Final Exam Yes/No: Yes Combine Separate: Separate Duration: Exam Specifications: COURSE OVERVIEW Topics Introduction What is econometrics? Steps in empirical economic analysis The structure of economic data; random sampling Simple Regression Model Deriving the OLS estimates Algebraic properties Deriving statistical properties: mean and variance Multiple Regression: Estimation [[Causality and Marginal effects]] Mechanics and Interpretation of OLS Classical Linear Model Assumptions The Gauss-Markov Theorem Properties of OLS Mean and Variance Topics in OLS: Effects of Data Scaling: 6.1 Functional Form: 6.2 Goodness-of-Fit and Model Selection: 6.3 Functional form mis-specification: 9.1 Recommended Readings Ch1. 1.1, 1.2, 1.4 Ch.2.1, 2.2, 2.4 Appendix B 1.5 Ch Week Multiple Regression: Inference Sampling Distribution of the OLS estimators The t-test testing a single restriction Confidence Intervals Testing multiple restrictions Multiple Regression Analysis: OLS Asymptotics Law of Large Numbers and Central Limit Theorem Consistency Asymptotic Normality and Large Sample Inference Ch. 4 Ch. 5; Appendix C 2 Functional Form and Dummy Variables Dummy independent variables Using dummy variables for multiple Ch. 7 1
4 categories Interactions using dummy variables Dummy dependent variable Lahore University of Management Sciences More Topics in OLS Prediction and Residual Analysis: 6.4 Missing Data, Outliers: 9.4 Heteroskedasticity Consequences of Heteroskedasticity Robust inference Testing for heteroskedasticity Weighted Least Squares Instrumental Variable Estimation and 2SLS Correlation between X and error; Omitted variable bias (3.3); OLS under measurement error (9.3); Using Proxy Variables for Unobserved Explanatory Variables (9.2); IV estimation and the 2SLS; Testing for endogeniety and overidentifying restrictions; Simultaneous Equation Models The nature of simultaneous equation models; simultaneity bias in OLS; Identifying and estimating a structural equation (vs. reduced form); systems with more than two equations Regression with Time Series Data Nature of time series data; Examples of TS models; Finite sample properties of OLS under Gauss-Markov assumptions; Functional form, dummy variables, index numbers; Trends and seasonality; Panel Data Models Pooling independent cross-sections across time; two-period panel data; differencing with more than two time periods: fixedeffects estimation; random-effects models; grouped data; policy analysis (differencein-difference and panel estimation) Introduction What is econometrics? Steps in empirical economic analysis The structure of economic data; random sampling Simple Regression Model Deriving the OLS estimates Algebraic properties Deriving statistical properties: mean and variance Multiple Regression: Estimation [[Causality and Marginal effects]] Mechanics and Interpretation of OLS Ch. 6.4, Ch. 8 1 Ch 3.3, 9.2, 9.3, ; 2 Ch Ch Ch ; Ch1. 1.1, 1.2, 1.4 Ch.2.1, 2.2, 2.4 Appendix B 1.5 Ch
5 Classical Linear Model Assumptions The Gauss-Markov Theorem Properties of OLS Mean and Variance Topics in OLS: Effects of Data Scaling: 6.1 Functional Form: 6.2 Goodness-of-Fit and Model Selection: 6.3 Functional form mis-specification: Multiple Regression: Inference Sampling Distribution of the OLS estimators The t-test testing a single restriction Confidence Intervals Testing multiple restrictions Multiple Regression Analysis: OLS Asymptotics Law of Large Numbers and Central Limit Theorem Consistency Asymptotic Normality and Large Sample Inference Ch. 4 Ch. 5; Appendix C 2 Functional Form and Dummy Variables Dummy independent variables Using dummy variables for multiple categories Interactions using dummy variables Dummy dependent variable More Topics in OLS Prediction and Residual Analysis: 6.4 Missing Data, Outliers: 9.4 Heteroskedasticity Consequences of Heteroskedasticity Robust inference Testing for heteroskedasticity Weighted Least Squares Instrumental Variable Estimation and 2SLS Correlation between X and error; Omitted variable bias (3.3); OLS under measurement error (9.3); Using Proxy Variables for Unobserved Explanatory Variables (9.2); IV estimation and the 2SLS; Testing for endogeniety and overidentifying restrictions; Simultaneous Equation Models The nature of simultaneous equation models; simultaneity bias in OLS; Identifying and estimating a structural equation (vs. reduced form); systems with Ch. 7 1 Ch. 6.4, Ch. 8 1 Ch 3.3, 9.2, 9.3, ; 2 Ch
6 Lahore University of Management Sciences more than two equations Regression with Time Series Data Nature of time series data; Examples of TS models; Finite sample properties of OLS under Gauss-Markov assumptions; Functional form, dummy variables, index numbers; Trends and seasonality; Panel Data Models Pooling independent cross-sections across time; two-period panel data; differencing with more than two time periods: fixedeffects estimation; random-effects models; grouped data; policy analysis (differencein-difference and panel estimation) Ch Ch ; Textbook(s)/Supplementary Readings Text Book Wooldridge, Jeffrey M Introductory Econometrics. 3 rd edition. Thomson South-western. Reference Texts 1. Kohler, Ulrich and Frauke Kreuter Data Analysis using Stata. Stata Press. 2. Banerjee, Abhijit V., and Esther Duflo Poor Economics: A Radical Rethinking of the Way to Fight Global Poverty. Public Affairs. 3. Hamilton, Lawrence C Statistics with Stata. Thomson Brooks/Cole. 4. Levitt, Steven D., and Stephen J. Dubner Freakonomics: A Rogue Economist Explores the Hidden Side of Everything. Harper Perennial. Online Resources To learn STATA you may use: STATA illustrations for all our text book examples are at: The power-point slides for the book are also available at:
Lahore University of Management Sciences. FINN 321 Econometrics Fall Semester 2017
Instructor Syed Zahid Ali Room No. 247 Economics Wing First Floor Office Hours Email szahid@lums.edu.pk Telephone Ext. 8074 Secretary/TA TA Office Hours Course URL (if any) Suraj.lums.edu.pk FINN 321 Econometrics
More informationDetailed course syllabus
Detailed course syllabus 1. Linear regression model. Ordinary least squares method. This introductory class covers basic definitions of econometrics, econometric model, and economic data. Classification
More informationACTL5103 Stochastic Modelling For Actuaries. Course Outline Semester 2, 2014
UNSW Australia Business School School of Risk and Actuarial Studies ACTL5103 Stochastic Modelling For Actuaries Course Outline Semester 2, 2014 Part A: Course-Specific Information Please consult Part B
More informationECON 6901 Research Methods for Economists I Spring 2017
1 ECON 6901 Research Methods for Economists I Spring 2017 Instructors: John Gandar Artie Zillante Office: 220 Friday 211B Friday Office Phone: 704 687 7675 704 687 7589 E mail: jmgandar@uncc.edu azillant@uncc.edu
More informationRyerson University Sociology SOC 483: Advanced Research and Statistics
Ryerson University Sociology SOC 483: Advanced Research and Statistics Prerequisites: SOC 481 Instructor: Paul S. Moore E-mail: psmoore@ryerson.ca Office: Sociology Department Jorgenson JOR 306 Phone:
More informationSTA 225: Introductory Statistics (CT)
Marshall University College of Science Mathematics Department STA 225: Introductory Statistics (CT) Course catalog description A critical thinking course in applied statistical reasoning covering basic
More informationProbability and Statistics Curriculum Pacing Guide
Unit 1 Terms PS.SPMJ.3 PS.SPMJ.5 Plan and conduct a survey to answer a statistical question. Recognize how the plan addresses sampling technique, randomization, measurement of experimental error and methods
More informationState University of New York at Buffalo INTRODUCTION TO STATISTICS PSC 408 Fall 2015 M,W,F 1-1:50 NSC 210
1 State University of New York at Buffalo INTRODUCTION TO STATISTICS PSC 408 Fall 2015 M,W,F 1-1:50 NSC 210 Dr. Michelle Benson mbenson2@buffalo.edu Office: 513 Park Hall Office Hours: Mon & Fri 10:30-12:30
More informationPenn State University - University Park MATH 140 Instructor Syllabus, Calculus with Analytic Geometry I Fall 2010
Penn State University - University Park MATH 140 Instructor Syllabus, Calculus with Analytic Geometry I Fall 2010 There are two ways to live: you can live as if nothing is a miracle; you can live as if
More informationS T A T 251 C o u r s e S y l l a b u s I n t r o d u c t i o n t o p r o b a b i l i t y
Department of Mathematics, Statistics and Science College of Arts and Sciences Qatar University S T A T 251 C o u r s e S y l l a b u s I n t r o d u c t i o n t o p r o b a b i l i t y A m e e n A l a
More informationChapters 1-5 Cumulative Assessment AP Statistics November 2008 Gillespie, Block 4
Chapters 1-5 Cumulative Assessment AP Statistics Name: November 2008 Gillespie, Block 4 Part I: Multiple Choice This portion of the test will determine 60% of your overall test grade. Each question is
More informationAmerican Journal of Business Education October 2009 Volume 2, Number 7
Factors Affecting Students Grades In Principles Of Economics Orhan Kara, West Chester University, USA Fathollah Bagheri, University of North Dakota, USA Thomas Tolin, West Chester University, USA ABSTRACT
More informationMGT/MGP/MGB 261: Investment Analysis
UNIVERSITY OF CALIFORNIA, DAVIS GRADUATE SCHOOL OF MANAGEMENT SYLLABUS for Fall 2014 MGT/MGP/MGB 261: Investment Analysis Daytime MBA: Tu 12:00p.m. - 3:00 p.m. Location: 1302 Gallagher (CRN: 51489) Sacramento
More informationOffice Hours: Mon & Fri 10:00-12:00. Course Description
1 State University of New York at Buffalo INTRODUCTION TO STATISTICS PSC 408 4 credits (3 credits lecture, 1 credit lab) Fall 2016 M/W/F 1:00-1:50 O Brian 112 Lecture Dr. Michelle Benson mbenson2@buffalo.edu
More informationUniversityy. The content of
WORKING PAPER #31 An Evaluation of Empirical Bayes Estimation of Value Added Teacher Performance Measuress Cassandra M. Guarino, Indianaa Universityy Michelle Maxfield, Michigan State Universityy Mark
More informationInstructor: Matthew Wickes Kilgore Office: ES 310
MATH 1314 College Algebra Syllabus Instructor: Matthew Wickes Kilgore Office: ES 310 Longview Office: LN 205C Email: mwickes@kilgore.edu Phone: 903 988-7455 Prerequistes: Placement test score on TSI or
More informationMTH 215: Introduction to Linear Algebra
MTH 215: Introduction to Linear Algebra Fall 2017 University of Rhode Island, Department of Mathematics INSTRUCTOR: Jonathan A. Chávez Casillas E-MAIL: jchavezc@uri.edu LECTURE TIMES: Tuesday and Thursday,
More informationLecture 1: Machine Learning Basics
1/69 Lecture 1: Machine Learning Basics Ali Harakeh University of Waterloo WAVE Lab ali.harakeh@uwaterloo.ca May 1, 2017 2/69 Overview 1 Learning Algorithms 2 Capacity, Overfitting, and Underfitting 3
More informationAnalysis of Enzyme Kinetic Data
Analysis of Enzyme Kinetic Data To Marilú Analysis of Enzyme Kinetic Data ATHEL CORNISH-BOWDEN Directeur de Recherche Émérite, Centre National de la Recherche Scientifique, Marseilles OXFORD UNIVERSITY
More informationAP Calculus AB. Nevada Academic Standards that are assessable at the local level only.
Calculus AB Priority Keys Aligned with Nevada Standards MA I MI L S MA represents a Major content area. Any concept labeled MA is something of central importance to the entire class/curriculum; it is a
More informationGrading Policy/Evaluation: The grades will be counted in the following way: Quizzes 30% Tests 40% Final Exam: 30%
COURSE SYLLABUS FALL 2010 MATH 0408 INTERMEDIATE ALGEBRA Course # 0408.06 Course Schedule/Location: TT 09:35 11:40, A-228 Instructor: Dr. Calin Agut, Office: J-202, Department of Mathematics, Brazosport
More informationABILITY SORTING AND THE IMPORTANCE OF COLLEGE QUALITY TO STUDENT ACHIEVEMENT: EVIDENCE FROM COMMUNITY COLLEGES
ABILITY SORTING AND THE IMPORTANCE OF COLLEGE QUALITY TO STUDENT ACHIEVEMENT: EVIDENCE FROM COMMUNITY COLLEGES Kevin Stange Ford School of Public Policy University of Michigan Ann Arbor, MI 48109-3091
More informationUniversity of Waterloo School of Accountancy. AFM 102: Introductory Management Accounting. Fall Term 2004: Section 4
University of Waterloo School of Accountancy AFM 102: Introductory Management Accounting Fall Term 2004: Section 4 Instructor: Alan Webb Office: HH 289A / BFG 2120 B (after October 1) Phone: 888-4567 ext.
More informationCourse Syllabus for Math
Course Syllabus for Math 1090-003 Instructor: Stefano Filipazzi Class Time: Mondays, Wednesdays and Fridays, 9.40 a.m. - 10.30 a.m. Class Place: LCB 225 Office hours: Wednesdays, 2.00 p.m. - 3.00 p.m.,
More informationJeffrey Church and Roger Ware, Industrial Organization: A Strategic Approach, edition 1. It is available for free in PDF format.
The George Washington University MA in Applied Economics COURSE AND CONTACT INFORMATION Course: ECON 6295 Section 31, Applied Industrial Organization (CRN 17591) Semester: Fall 2016 Time: Tuesday 6:10
More informationSyllabus ENGR 190 Introductory Calculus (QR)
Syllabus ENGR 190 Introductory Calculus (QR) Catalog Data: ENGR 190 Introductory Calculus (4 credit hours). Note: This course may not be used for credit toward the J.B. Speed School of Engineering B. S.
More informationSpring 2014 SYLLABUS Michigan State University STT 430: Probability and Statistics for Engineering
Spring 2014 SYLLABUS Michigan State University STT 430: Probability and Statistics for Engineering Time and Place: MW 3:00-4:20pm, A126 Wells Hall Instructor: Dr. Marianne Huebner Office: A-432 Wells Hall
More informationIS FINANCIAL LITERACY IMPROVED BY PARTICIPATING IN A STOCK MARKET GAME?
21 JOURNAL FOR ECONOMIC EDUCATORS, 10(1), SUMMER 2010 IS FINANCIAL LITERACY IMPROVED BY PARTICIPATING IN A STOCK MARKET GAME? Cynthia Harter and John F.R. Harter 1 Abstract This study investigates the
More informationIntermediate Microeconomics. Spring 2015 Jonas Vlachos A772,
Intermediate Microeconomics Spring 2015 Jonas Vlachos Jonas.vlachos@ne.su.se A772, 08-163046 What is this course about? Microeconomics a toolbox Price theory Game theory Price theory Price theory helps
More informationOffice Hours: Day Time Location TR 12:00pm - 2:00pm Main Campus Carl DeSantis Building 5136
FIN 3110 - Financial Management I. Course Information Course: FIN 3110 - Financial Management Semester Credit Hours: 3.0 Course CRN and Section: 20812 - NW1 Semester and Year: Fall 2017 Course Start and
More informationFirms and Markets Saturdays Summer I 2014
PRELIMINARY DRAFT VERSION. SUBJECT TO CHANGE. Firms and Markets Saturdays Summer I 2014 Professor Thomas Pugel Office: Room 11-53 KMC E-mail: tpugel@stern.nyu.edu Tel: 212-998-0918 Fax: 212-995-4212 This
More informationUniversity of Waterloo Department of Economics Economics 102 (Section 006) Introduction to Macroeconomics Winter 2012
University of Waterloo Department of Economics Economics 102 (Section 006) Introduction to Macroeconomics Winter 2012 Instructor: Nafeez Fatima Office: HH 221 Phone: 519-888-4567, ext.36559 E-mail Address:
More informationThe Good Judgment Project: A large scale test of different methods of combining expert predictions
The Good Judgment Project: A large scale test of different methods of combining expert predictions Lyle Ungar, Barb Mellors, Jon Baron, Phil Tetlock, Jaime Ramos, Sam Swift The University of Pennsylvania
More informationFoothill College Summer 2016
Foothill College Summer 2016 Intermediate Algebra Math 105.04W CRN# 10135 5.0 units Instructor: Yvette Butterworth Text: None; Beoga.net material used Hours: Online Except Final Thurs, 8/4 3:30pm Phone:
More informationAccounting 312: Fundamentals of Managerial Accounting Syllabus Spring Brown
Class Hours: MW 3:30-5:00 (Unique #: 02247) UTC 3.102 Professor: Patti Brown, CPA E-mail: patti.brown@mccombs.utexas.edu Office: GSB 5.124B Office Hours: Mon 2:00 3:00pm Phone: (512) 232-6782 TA: TBD TA
More informationGRADUATE STUDENT HANDBOOK Master of Science Programs in Biostatistics
2017-2018 GRADUATE STUDENT HANDBOOK Master of Science Programs in Biostatistics Entrance requirements, program descriptions, degree requirements and other program policies for Biostatistics Master s Programs
More informationJONATHAN H. WRIGHT Department of Economics, Johns Hopkins University, 3400 N. Charles St., Baltimore MD (410)
JONATHAN H. WRIGHT Department of Economics, Johns Hopkins University, 3400 N. Charles St., Baltimore MD 21218. (410) 516 5728 wrightj@jhu.edu EDUCATION Harvard University 1993-1997. Ph.D., Economics (1997).
More informationCS/SE 3341 Spring 2012
CS/SE 3341 Spring 2012 Probability and Statistics in Computer Science & Software Engineering (Section 001) Instructor: Dr. Pankaj Choudhary Meetings: TuTh 11 30-12 45 p.m. in ECSS 2.412 Office: FO 2.408-B
More informationStochastic Calculus for Finance I (46-944) Spring 2008 Syllabus
Stochastic Calculus for Finance I (46-944) Spring 2008 Syllabus Introduction. This is a first course in stochastic calculus for finance. It assumes students are familiar with the material in Introduction
More informationKOMAR UNIVERSITY OF SCIENCE AND TECHNOLOGY (KUST)
Course Title COURSE SYLLABUS for ACCOUNTING INFORMATION SYSTEM ACCOUNTING INFORMATION SYSTEM Course Code ACC 3320 No. of Credits Three Credit Hours (3 CHs) Department Accounting College College of Business
More informationSOUTHERN MAINE COMMUNITY COLLEGE South Portland, Maine 04106
SOUTHERN MAINE COMMUNITY COLLEGE South Portland, Maine 04106 Title: Precalculus Catalog Number: MATH 190 Credit Hours: 3 Total Contact Hours: 45 Instructor: Gwendolyn Blake Email: gblake@smccme.edu Website:
More informationMAT 122 Intermediate Algebra Syllabus Summer 2016
Instructor: Gary Adams Office: None (I am adjunct faculty) Phone: None Email: gary.adams@scottsdalecc.edu Office Hours: None CLASS TIME and LOCATION: Title Section Days Time Location Campus MAT122 12562
More informationLANGUAGE DIVERSITY AND ECONOMIC DEVELOPMENT. Paul De Grauwe. University of Leuven
Preliminary draft LANGUAGE DIVERSITY AND ECONOMIC DEVELOPMENT Paul De Grauwe University of Leuven January 2006 I am grateful to Michel Beine, Hans Dewachter, Geert Dhaene, Marco Lyrio, Pablo Rovira Kaltwasser,
More informationStatewide Framework Document for:
Statewide Framework Document for: 270301 Standards may be added to this document prior to submission, but may not be removed from the framework to meet state credit equivalency requirements. Performance
More informationMany instructors use a weighted total to calculate their grades. This lesson explains how to set up a weighted total using categories.
Weighted Totals Many instructors use a weighted total to calculate their grades. This lesson explains how to set up a weighted total using categories. Set up your grading scheme in your syllabus Your syllabus
More informationTHE GEORGE WASHINGTON UNIVERSITY Department of Economics. ECON 1012: PRINCIPLES OF MACROECONOMICS Prof. Irene R. Foster
THE GEORGE WASHINGTON UNIVERSITY Department of Economics ECON 1012: PRINCIPLES OF MACROECONOMICS Prof. Irene R. Foster Office: Monroe 323 Phone: (202) 994-6150 Walk-in Office Hours: W 2-4pm Email: fosterir@gwu.edu
More informationModule 12. Machine Learning. Version 2 CSE IIT, Kharagpur
Module 12 Machine Learning 12.1 Instructional Objective The students should understand the concept of learning systems Students should learn about different aspects of a learning system Students should
More informationGrade Dropping, Strategic Behavior, and Student Satisficing
Grade Dropping, Strategic Behavior, and Student Satisficing Lester Hadsell Department of Economics State University of New York, College at Oneonta Oneonta, NY 13820 hadsell@oneonta.edu Raymond MacDermott
More informationEconomics 100: Introduction to Macroeconomics Spring 2012, Tuesdays and Thursdays Kenyon 134
Economics 100: Introduction to Macroeconomics Spring 2012, Tuesdays and Thursdays Kenyon 134 Instructor: Sarah Pearlman Office: Blodgett 134A E-mail: sapearlman@vassar.edu Office Hours: Tues & Wed 4:45-5:45pm
More informationECON492 Senior Capstone Seminar: Cost-Benefit and Local Economic Policy Analysis Fall 2017 Instructor: Dr. Anita Alves Pena
ECON492 Senior Capstone Seminar: Cost-Benefit and Local Economic Policy Analysis Fall 2017 Instructor: Dr. Anita Alves Pena Contact: Office: C 306C Clark Building Phone: 970-491-0821 Fax: 970-491-2925
More informationDO CLASSROOM EXPERIMENTS INCREASE STUDENT MOTIVATION? A PILOT STUDY
DO CLASSROOM EXPERIMENTS INCREASE STUDENT MOTIVATION? A PILOT STUDY Hans Gremmen, PhD Gijs van den Brekel, MSc Department of Economics, Tilburg University, The Netherlands Abstract: More and more teachers
More informationECON 442: Economic Development Course Syllabus Second Semester 2009/2010
UNIVERSITY OF BAHRAIN COLLEGE OF BUSINESS ADMINISTRATION DEPARTMENT OF ECONOMICS AND FINANCE ECON 442: Economic Development Course Syllabus Second Semester 2009/2010 Dr. Mohammed A. Alwosabi Course Coordinator
More informationSchool of Innovative Technologies and Engineering
School of Innovative Technologies and Engineering Department of Applied Mathematical Sciences Proficiency Course in MATLAB COURSE DOCUMENT VERSION 1.0 PCMv1.0 July 2012 University of Technology, Mauritius
More informationPEER EFFECTS IN THE CLASSROOM: LEARNING FROM GENDER AND RACE VARIATION *
PEER EFFECTS IN THE CLASSROOM: LEARNING FROM GENDER AND RACE VARIATION * Caroline M. Hoxby NBER Working Paper 7867 August 2000 Peer effects are potentially important for understanding the optimal organization
More informationTheory of Probability
Theory of Probability Class code MATH-UA 9233-001 Instructor Details Prof. David Larman Room 806,25 Gordon Street (UCL Mathematics Department). Class Details Fall 2013 Thursdays 1:30-4-30 Location to be
More informationCollege Pricing. Ben Johnson. April 30, Abstract. Colleges in the United States price discriminate based on student characteristics
College Pricing Ben Johnson April 30, 2012 Abstract Colleges in the United States price discriminate based on student characteristics such as ability and income. This paper develops a model of college
More informationUniversity of Arkansas at Little Rock Graduate Social Work Program Course Outline Spring 2014
University of Arkansas at Little Rock Graduate Social Work Program Course Outline Spring 2014 Number and Title: Semester Credits: 3 Prerequisite: SOWK 8390, Advanced Direct Practice III: Social Work Practice
More informationME 4495 Computational Heat Transfer and Fluid Flow M,W 4:00 5:15 (Eng 177)
ME 4495 Computational Heat Transfer and Fluid Flow M,W 4:00 5:15 (Eng 177) Professor: Daniel N. Pope, Ph.D. E-mail: dpope@d.umn.edu Office: VKH 113 Phone: 726-6685 Office Hours:, Tues,, Fri 2:00-3:00 (or
More informationMathematics. Mathematics
Mathematics Program Description Successful completion of this major will assure competence in mathematics through differential and integral calculus, providing an adequate background for employment in
More informationSTT 231 Test 1. Fill in the Letter of Your Choice to Each Question in the Scantron. Each question is worth 2 point.
STT 231 Test 1 Fill in the Letter of Your Choice to Each Question in the Scantron. Each question is worth 2 point. 1. A professor has kept records on grades that students have earned in his class. If he
More informationSyllabus for CHEM 4660 Introduction to Computational Chemistry Spring 2010
Instructor: Dr. Angela Syllabus for CHEM 4660 Introduction to Computational Chemistry Office Hours: Mondays, 1:00 p.m. 3:00 p.m.; 5:00 6:00 p.m. Office: Chemistry 205C Office Phone: (940) 565-4296 E-mail:
More informationFINN FINANCIAL MANAGEMENT Spring 2014
FINN 3120-004 FINANCIAL MANAGEMENT Spring 2014 Instructor: Sailu Li Time and Location: 08:00-09:15AM, Tuesday and Thursday, FRIDAY 142 Contact: Friday 272A, 704-687-5447 Email: sli20@uncc.edu Office Hours:
More informationSociology 521: Social Statistics and Quantitative Methods I Spring 2013 Mondays 2 5pm Kap 305 Computer Lab. Course Website
Sociology 521: Social Statistics and Quantitative Methods I Spring 2013 Mondays 2 5pm Kap 305 Computer Lab Instructor: Tim Biblarz Office: Hazel Stanley Hall (HSH) Room 210 Office hours: Mon, 5 6pm, F,
More informationEmpirical Methods for Corporate Finance
USI Institute of Finance Empirical Methods for Corporate Finance Prof. Laurent Frésard University of Maryland (RH Smith School of Business) (lfresard@rhsmith.umd.edu) Course Objectives The objective of
More informationMath Techniques of Calculus I Penn State University Summer Session 2017
Math 110 - Techniques of Calculus I Penn State University Summer Session 2017 Instructor: Sergio Zamora Barrera Office: 018 McAllister Bldg E-mail: sxz38@psu.edu Office phone: 814-865-4291 Office Hours:
More informationTU-E2090 Research Assignment in Operations Management and Services
Aalto University School of Science Operations and Service Management TU-E2090 Research Assignment in Operations Management and Services Version 2016-08-29 COURSE INSTRUCTOR: OFFICE HOURS: CONTACT: Saara
More informationHonors Mathematics. Introduction and Definition of Honors Mathematics
Honors Mathematics Introduction and Definition of Honors Mathematics Honors Mathematics courses are intended to be more challenging than standard courses and provide multiple opportunities for students
More informationSyllabus - ESET 369 Embedded Systems Software, Fall 2016
Syllabus - ESET 369 Embedded Systems Software, Fall 2016 Contact Information: Professor: Dr. Byul Hur Office: 008A Fermier Telephone: (979) 845-5195 Facsimile: E-mail: byulmail@tamu.edu Web: www.tamuresearch.com
More informationLearning Disability Functional Capacity Evaluation. Dear Doctor,
Dear Doctor, I have been asked to formulate a vocational opinion regarding NAME s employability in light of his/her learning disability. To assist me with this evaluation I would appreciate if you can
More informationA Program Evaluation of Connecticut Project Learning Tree Educator Workshops
A Program Evaluation of Connecticut Project Learning Tree Educator Workshops Jennifer Sayers Dr. Lori S. Bennear, Advisor May 2012 Masters project submitted in partial fulfillment of the requirements for
More informationPreAP Geometry. Ms. Patricia Winkler
PreAP Geometry Ms. Patricia Winkler PreAP Geometry Second math course in the high school curriculum It can be a difficult course and may, require additional time for preparation and practice. Come to class
More informationOFFICE SUPPORT SPECIALIST Technical Diploma
OFFICE SUPPORT SPECIALIST Technical Diploma Program Code: 31-106-8 our graduates INDEMAND 2017/2018 mstc.edu administrative professional career pathway OFFICE SUPPORT SPECIALIST CUSTOMER RELATIONSHIP PROFESSIONAL
More informationSchool Size and the Quality of Teaching and Learning
School Size and the Quality of Teaching and Learning An Analysis of Relationships between School Size and Assessments of Factors Related to the Quality of Teaching and Learning in Primary Schools Undertaken
More informationProbability and Game Theory Course Syllabus
Probability and Game Theory Course Syllabus DATE ACTIVITY CONCEPT Sunday Learn names; introduction to course, introduce the Battle of the Bismarck Sea as a 2-person zero-sum game. Monday Day 1 Pre-test
More informationMathematics subject curriculum
Mathematics subject curriculum Dette er ei omsetjing av den fastsette læreplanteksten. Læreplanen er fastsett på Nynorsk Established as a Regulation by the Ministry of Education and Research on 24 June
More informationSan José State University Department of Marketing and Decision Sciences BUS 90-06/ Business Statistics Spring 2017 January 26 to May 16, 2017
San José State University Department of Marketing and Decision Sciences BUS 90-06/30174- Business Statistics Spring 2017 January 26 to May 16, 2017 Course and Contact Information Instructor: Office Location:
More informationAlabama A&M University School of Business Department of Economics, Finance & Office Systems Management Normal, AL Fall 2004
Alabama A&M University School of Business Department of Economics, Finance & Office Systems Management Normal, AL 35762 Fall 2004 Course Number ECO 232 01 Call # 3860 ECO 232 03 Call # 3870 Course Title
More informationCENTRAL MAINE COMMUNITY COLLEGE Introduction to Computer Applications BCA ; FALL 2011
CENTRAL MAINE COMMUNITY COLLEGE Introduction to Computer Applications BCA 120-03; FALL 2011 Instructor: Mrs. Linda Cameron Cell Phone: 207-446-5232 E-Mail: LCAMERON@CMCC.EDU Course Description This is
More informationJulia Smith. Effective Classroom Approaches to.
Julia Smith @tessmaths Effective Classroom Approaches to GCSE Maths resits julia.smith@writtle.ac.uk Agenda The context of GCSE resit in a post-16 setting An overview of the new GCSE Key features of a
More informationA Comparison of Charter Schools and Traditional Public Schools in Idaho
A Comparison of Charter Schools and Traditional Public Schools in Idaho Dale Ballou Bettie Teasley Tim Zeidner Vanderbilt University August, 2006 Abstract We investigate the effectiveness of Idaho charter
More informationEDCI 699 Statistics: Content, Process, Application COURSE SYLLABUS: SPRING 2016
EDCI 699 Statistics: Content, Process, Application COURSE SYLLABUS: SPRING 2016 Instructor: Dr. Katy Denson, Ph.D. Office Hours: Because I live in Albuquerque, New Mexico, I won t have office hours. But
More informationCHEM 6487: Problem Seminar in Inorganic Chemistry Spring 2010
CHEM 6487: Problem Seminar in Inorganic Chemistry Spring 2010 Instructor: Dr. Stephen M. Holmes Course Time: 10 AM Friday Office Location: 418 Benton Hall Course Location: 451 Benton Hall Email: holmesst@umsl.edu
More informationGEOG 473/573: Intermediate Geographic Information Systems Department of Geography Minnesota State University, Mankato
GEOG 473/573: Intermediate Geographic Information Systems Department of Geography Minnesota State University, Mankato Syllabus Spring 2014 ----------------------------------------------------------------------------------------------------------------------------------
More informationSAT MATH PREP:
SAT MATH PREP: 2015-2016 NOTE: The College Board has redesigned the SAT Test. This new test will start in March of 2016. Also, the PSAT test given in October of 2015 will have the new format. Therefore
More informationAlgebra 2- Semester 2 Review
Name Block Date Algebra 2- Semester 2 Review Non-Calculator 5.4 1. Consider the function f x 1 x 2. a) Describe the transformation of the graph of y 1 x. b) Identify the asymptotes. c) What is the domain
More informationSpring 2015 Natural Science I: Quarks to Cosmos CORE-UA 209. SYLLABUS and COURSE INFORMATION.
Spring 2015 Natural Science I: Quarks to Cosmos CORE-UA 209 Professor Peter Nemethy SYLLABUS and COURSE INFORMATION. Office: 707 Meyer Telephone: 8-7747 ( external 212 998 7747 ) e-mail: peter.nemethy@nyu.edu
More informationUniversity of Toronto
University of Toronto OFFICE OF THE VICE PRESIDENT AND PROVOST Framework for the Divisional Appeals Processes The purpose of the Framework is to provide guidance and advice for the establishment of appropriate
More informationAP Statistics Summer Assignment 17-18
AP Statistics Summer Assignment 17-18 Welcome to AP Statistics. This course will be unlike any other math class you have ever taken before! Before taking this course you will need to be competent in basic
More informationPhysics XL 6B Reg# # Units: 5. Office Hour: Tuesday 5 pm to 7:30 pm; Wednesday 5 pm to 6:15 pm
Physics XL 6B Reg# 264138 # Units: 5 Department of Humanities & Sciences (310) 825-7093 Quarter:_Spring 2016 Instructor: Jacqueline Pau Dates: 03/30/16 06/15/16 Lectures: 1434A PAB, Wednesday (6:30-10pm)
More informationAlgebra 1, Quarter 3, Unit 3.1. Line of Best Fit. Overview
Algebra 1, Quarter 3, Unit 3.1 Line of Best Fit Overview Number of instructional days 6 (1 day assessment) (1 day = 45 minutes) Content to be learned Analyze scatter plots and construct the line of best
More informationChromatography Syllabus and Course Information 2 Credits Fall 2016
Chromatography Syllabus and Course Information 2 Credits Fall 2016 COURSE: INSTRUCTORS: CHEM 517 Chromatography Brian Clowers, Ph.D. CONTACT INFO: Phone: 509-335-4300 e-mail: brian.clowers@wsu.edu OFFICE
More informationMath 150 Syllabus Course title and number MATH 150 Term Fall 2017 Class time and location INSTRUCTOR INFORMATION Name Erin K. Fry Phone number Department of Mathematics: 845-3261 e-mail address erinfry@tamu.edu
More informationlearning collegiate assessment]
[ collegiate learning assessment] INSTITUTIONAL REPORT 2005 2006 Kalamazoo College council for aid to education 215 lexington avenue floor 21 new york new york 10016-6023 p 212.217.0700 f 212.661.9766
More informationINTRODUCTION TO DECISION ANALYSIS (Economics ) Prof. Klaus Nehring Spring Syllabus
INTRODUCTION TO DECISION ANALYSIS (Economics 190-01) Prof. Klaus Nehring Spring 2003 Syllabus Office: 1110 SSHB, 752-3379. Office Hours (tentative): T 10:00-12:00, W 4:10-5:10. Prerequisites: Math 16A,
More informationRequired Texts: Intermediate Accounting by Spiceland, Sepe and Nelson, 8E Course notes are available on UNM Learn.
MGT 341 FINANCIAL ACCOUNTING II Spring 2017 Instructor: Joni Young Office: ASM 2118 Phone: 277-0334 Office Hours: T,Th 12:30-1:30. and by appointment E-mail: joni@unm.edu Required Texts: Intermediate Accounting
More informationClass Mondays & Wednesdays 11:00 am - 12:15 pm Rowe 161. Office Mondays 9:30 am - 10:30 am, Friday 352-B (3 rd floor) or by appointment
SYLLABUS Marketing Concepts - Spring 2016 MKTG 3110-003 - Course # 23911 - Belk College of Business, UNC-Charlotte Instructor: Mrs. Tamara L. Cohen Ph: 704-687-7644 e-mail: tcohen3@uncc.edu www.belkcollegeofbusiness.uncc.edu/tcohen3
More informationTUESDAYS/THURSDAYS, NOV. 11, 2014-FEB. 12, 2015 x COURSE NUMBER 6520 (1)
MANAGERIAL ECONOMICS David.surdam@uni.edu PROFESSOR SURDAM 204 CBB TUESDAYS/THURSDAYS, NOV. 11, 2014-FEB. 12, 2015 x3-2957 COURSE NUMBER 6520 (1) This course is designed to help MBA students become familiar
More informationMATH 108 Intermediate Algebra (online) 4 Credits Fall 2008
MATH 108 Intermediate Algebra (online) 4 Credits Fall 2008 Instructor: Nolan Rice Math Lab: T 2:00 2:50 Office: SHL 206-F Office Hours: M/F 2:00 2:50 Phone/Voice Mail: 732.6819 W 4:30 5:20 E-mail: nrice@csi.edu
More informationCVEN SUSTAINABILITY IN CONSTRUCTION
School of Civil and Environmental Engineering CVEN4104 - SUSTAINABILITY IN CONSTRUCTION Semester 1, 2017 COURSE DETAILS Units of Credit 6 Contact hours 4 hours per week Class Wed, 14:00 18:00 ChemicalSc
More informationACCT 100 Introduction to Accounting Course Syllabus Course # on T Th 12:30 1:45 Spring, 2016: Debra L. Schmidt-Johnson, CPA
ACCT 100 Introduction to Accounting Course Syllabus Course # 22017 on T Th 12:30 1:45 Spring, 2016: Debra L. Schmidt-Johnson, CPA Course Description: This class introduces the student to the basics of
More information