Syllabus eco 400 research methods Fall 2010

Eco400 Research Methods

West Chester University

Fall 2010

Dr. Thomas Andrews

313 Anderson Hall

610-436-1082

syllabus available online at http://courses.wcupa.edu/tandrews

Objective

This course is an introduction to the fundamentals of econometric concepts and techniques needed in quantitative analysis in economics. This course emphasizes the need to gain an intuitive understanding of the econometric concepts and of their proper applications to real-world economic problems. Computer skills are important and students will be expected to become familiar with statistical programs including SPSS and EViews.

## Textbooks | ||

## Thomas Andren Econometrics(Required text will serve as our essential resource) | ## This free textbook offers a simple survey over the most basic concepts that are studied within introductory courses in econometrics. The theory is clarified with numerous examples.Subjects as basic probability and statistics, statistical inference with the simple and multiple regression model, dummy variables and auto correlation are explained. | ## free on bookboon |

## Statnotes: Topics in Multivariate Analysis, by G. David Garson | ## StatNotes is a rolling publication which is free for educational use through linking only but copyrighted.We will use this to supplement the Andren text for Discrete Dependent variables | ## Free online |

## Econometrics: a practical approachBy Hamid Seddighi, K. A. Lawler, Anastasios V. Katos | Recognising the fact that A level mathematics is no longer a necessary prerequisite for economics courses, this text introduces this key subdivision of economics to an audience who might otherwise have been deterred by its complexity. If you don’t understand something in Andren, you might find a better explanation here | Free on Google books |

## Econometrics## Bruce E. Hansen | This is a draft of a first-year Ph.D. econometrics textbook. This is for more advanced usere | Free pdf |

By the end of the course, the student will be able to:

- Demonstrate knowledge of basic elements of research such as variables, hypotheses, sampling, data entry, analysis, etc.
- Utilize the computer in analyzing data. This includes an analysis of computer data processing hardware, how to code data so that it is machine readable, and a working knowledge of SPSS (Statistical Package for the Social Science).
- Analyze data using univariate, bivariate and basic multivariate analysis.
- Model appropriate professionalism when conducting research.
- Demonstrate proper procedures in reporting findings from scientific research. Prepare an oral summary and formal written research report (including purpose of the study, review of the literature, research design, results, implications for future research, etc.) on a topic of his/her choosing.
- Critically evaluate his/her own and others' research.

Course Requirements

Active learning exercises: This course is HANDS ON. We will do a problem set virtually every day in class. Your results will be maintained in a google documents folder that is shared with your professor. (Google docs works best with firefox) Your results will be graded daily. We will do between 10 and 15 problem sets. Your grade for the problem sets will be based on the percentage of the problem sets you complete. These problem sets will be assigned and completed in class. Attendance is required to get credit for these exercises. Combined these will be 60 percent of your grade.

Research paper: (40 percent) Students will be required to complete a research paper. Two options are available: One is to extend research already begun by another undergraduate. The other is to begin an entirely new project. In the project extension model, the student will update an existing literature review, add to an existing data set by either adding additional variables or observations (or both) and introduce untested functional forms to the analysis.

New research project will entail a full literature review, collection of a new data set, and analysis with standard functional forms. New projects require a substantial commitment on the part of the instructor and the student so will require instructor permission. If you would like to pursue this option, please arrange to meet with me before the end of the second week of classes.

Projects may be eligible for $500 cash prize. See WCU student research awards

Attendance: In addition, students are responsible for all material covered during class. If a class is missed, the material should be obtained from another student. In the event that a class is canceled by the instructor, you will be notified by a note posted on the classroom door and signed by the department chair. If there is any uncertainty, check with the department secretary in room 309.

Miscellaneous: Office hours are open to all students, for discussion of any topic. No appointment is necessary. If you're not clear on something, or not sure if your not sure - COME SEE ME! also, we at West Chester University wish to make accommodations for persons with disabilities. Please make you needs known by contacting me and/or the Office of Services for Students with Disabilities at ext. 3217. Sufficient notice is needed in order to make the accommodations possible. The University desires to comply with the ADA of 1990.” Disruptive student Policy.

Wk | date (subject to change) | topic | vocabulary | Competencies (Student should be able to) | Reading | Materials |

1 | 8/31 | single variable hypothesis tests | Null and Alternative hypothesis, p-value, significance level, t-statistic, Z-value. | -Formulate null and alternative hypotheses -calculate descriptive statistics (three number summary) -Calculate t-statistics/ Z- values -interpret p-values | Andren Ch 2 pages 26-29 | |

2 | 9/7 | Simple Regression Model | Population regression line, slope, intercept, sample regression line, Assumptions, Gauss Markov Theorem | -Understand the assumptions underlying regression analysis -understand the meaning of BLUE | Andren Ch 3 | |

3 | 9/14 | Common Statistics for regression analysis | standard errors, t-statistics, p-values, R-squared, Adjusted R-squared, F-statistic | -conduct appropriate hypothesis tests on regression coefficients -Interpret R-sq -Analyze F-statistic | Andren Ch 4.1, 4.2. Andren Ch 5 | |

4 | 9/21 | Specification | functional form linear, log linear, linear-log log-log (double log) missing (omitted) variable | -Run linear model and interpret -interpret regression with squared terms. -run Log linear and interpret -run log-log and interpret | Andren CH7 | |

5 | 9/28 | Specification continues | ||||

6/7 | 10/5 | Dummy variables | intercept dummies, slope dummies | Interpret dummy variable coefficients | Andren CH8 | |

7 | 10/12 tues fall break | Hetero- skedasticity | Andren CH9 | |||

8 | 10/19 | Autocorrelation | Andren CH10 | |||

9 | 10/26 | Multicollinearity | AndrenCH11 | |||

10 | 11/2 | Simultaneous Equations | ||||

11 | 11/9 | qualitative choice Models | Logit | |||

12 | 11/16 | |||||

13 | 11/23 (tg) | |||||

14 | 11/30 | |||||

15 | 12/7 | |||||

Software | |

SPSS | |

Interesting Data sites | Run of the mill data |

http://www.glassdoor.com/index.htm. Glassdoor is your free inside look at jobs and companies. Salary details, company reviews, and interview questions — all posted anonymously by employees and job seekers. |

undergraduate economics research journals | |

Undergraduate Business and Economics Research Journal (UBER Journal) | |

Other sources for undergraduate research | |

## Student Economic Review | |

## PIXEL - the Cambridge Undergraduate Journal of Development Economics | |

## Western Undergraduate Economics Review | |

Professional Journals that accept student work | |