eco 470
fuducia
eco470_student_guide_2.docx(Prerequisite: ECO 102 and MAT 300)
COURSE DESCRIPTION
Examines applications of statistical techniques to economic data, regression analysis, and estimation of economic models. Includes violations of the regression model and analysis of variance.
INSTRUCTIONAL MATERIALS
Required Resources
Gujarati, D.N. (2010). Essentials of econometrics (4th ed.). Boston: McGraw Hill.
Supplemental Resources
Kennedy, Peter. (1998). A Guide to Econometrics (4th ed.). Massachusetts: MIT Press.
Mirer, Thad W. (1995). Economic Statistics and Econometrics (3rd ed.). New Jersey: Prentice-Hall.
Woolridge, Jeffrey M. (2000). Introductory Econometrics United States: South-Western Publishing.
COURSE LEARNING OUTCOMES
· Apply econometrics to conduct and present the analysis of economic data to support business and public policy decisions.
· Apply regression analysis to interpret the characteristics of populations and test hypotheses.
· Select and apply the appropriate model to analyze economic data.
· Explain how to resolve issues of multicollinearity, heteroscedasticity, and autocorrelation in variables.
· Use technology and information resources to research issues in econometrics.
· Write clearly and concisely about econometrics using proper writing mechanics.
WEEKLY COURSE SCHEDULE
The standard requirement for a 4.5 credit hour course is for students to spend 13.5 hours in weekly work. This includes preparation, activities, and evaluation regardless of delivery mode.
|
Week |
Preparation, Activities, and Evaluation |
Points |
|
1 |
Preparation · Reading(s) · Chapter 1: The Nature and Scope of Econometrics · e-Activity · Use the Internet to research current applications of econometrics. Be prepared to discuss. Activities · Introduction Discussion · Discussions Evaluation · None |
20 20 |
|
2 |
Preparation · Reading(s) · Chapter 2: Basic Ideas of Linear Regression: The Two-Variable Model · Chapter 3: The Two Variable Model: Hypothesis Testing · e-Activity · Use the Internet to identify and learn about common uses of regression analysis. Be prepared to discuss. Activities · Discussions Evaluation · Homework: Chapter 2 · Problems: 2.8, 2.10, 2.13, and 2.22 · Homework: Chapter 3 · Problems: 3.7, 3.9, 3.10, and 3.18 |
20
48
48 |
|
3 |
Preparation · Reading(s) · Chapter 4: Multiple Regression: Estimation and Hypothesis Testing · e-Activity: · Use the Internet to find and research a current example of how estimation and hypothesis testing were used to solve a problem. Be prepared to discuss. Activities · Discussions Evaluation · Homework: Chapter 4 · Questions 4.5 and 4.6 · Problems 4.11, 4.12, 4.13, and 4.21 · Assignment 1: The Two-Variable Model |
20
16 48 240 |
|
4 |
Preparation · Reading(s) · Chapter 5: Functional Forms of Regression Models · e-Activity · Use the Internet to research how the concepts discussed in Chapter 5 may be applied to a better understanding of the U.S. economic recession of the late 2000s. Be prepared to discuss. Activities · Discussions Evaluation · Homework: Chapter 5 · Question: 5.3 · Problems: 5.10, 5.13, 5.14, and 5.27 · Assignment 2: Multiple Regression |
20
8 48 280 |
|
5 |
Preparation · Reading(s) · Chapter 6: Dummy Variable Regression Models Activities · Discussions Evaluation · Homework: Chapter 6 · Questions: 6.3, 6.6, and 6.7 · Problems 6.11 (a-c) and 6.28 (a-g) |
20
24 24 |
|
6 |
Preparation · Reading(s) · Chapter 7: Model Selection: Criteria and Tests Activities · Discussions Evaluation · Homework: Chapter 7 · Questions: 7.1 and 7.6 · Problems 7.11, 7.17, and 7.20 · Assignment 3: Course Project – Prospectus |
20
16 36 240 |
|
7 |
Preparation · Reading(s) · Chapter 8: Multicollinearity: What Happens if the Explanatory Variables Are Correlated? · e-Activity · Use the Internet to identify and research a recent economic issue that resulted from multicollinearity. Be prepared to discuss. Activities · Discussions Evaluation · Homework: Chapter 8 · Question: 8.3 · Problems 8.14, 8.15, 8.16, and 8.22 |
20
8 48 |
|
8 |
Preparation · Reading(s) · Chapter 9: Heteroscedasticity: What Happens if the Error Variance Is Nonconstant? Activities · Discussions Evaluation · Homework: Chapter 9 · Question: 9.1 · Problems 9.8, 9.10, 9.14, and 9.19 · Assignment 4: Model Selection and Specification Errors |
20
8 48 240 |
|
9 |
Preparation · Reading(s) · Chapter 10: What Happens if Error Terms Are Correlated? Activities · Discussions Evaluation · Homework: Chapter 10 · Problems 10.10, 10.12, 10.13, and 10.17 |
20
48 |
|
10 |
Preparation · Reading(s) · Chapter 11: Simultaneous Equation Models · Chapter 12: Selected Topics in Single Equation Regression Models Activities · Discussions Evaluation · Homework: Chapter 11 · Question 11.5 · Problems 11.16 (a-c), 11.18, and 11.19 · Homework: Chapter 12 · Problems 12.8 and 12.13 · Assignment 5: Course Project |
20
8 36
24 320 |
|
11 |
Preparation · None Activities · Discussions Evaluation · None |
20 |
GRADING SCALE – UNDERGRADUATE
|
Assignment |
Total Points |
% of Grade |
|
Homework · 11 Questions worth 8 points apiece, equals 88 points · 38 Problems worth 12 points apiece equals 456 points |
544 |
26% |
|
Assignment 1: The Two-Variable Model |
240 |
11% |
|
Assignment 2: Multiple Regression |
280 |
14% |
|
Assignment 3: Course Project – Prospectus |
240 |
11% |
|
Assignment 4: Model Selection and Specification Errors |
240 |
11% |
|
Assignment 5: Course Project |
320 |
16% |
|
Participation (1 Introduction Discussion worth 20 points apiece) (22 discussions worth 10 points apiece) |
240 |
11% |
|
Totals |
2,104 |
100% |
|
Points |
Percentage |
Grade |
|
1,893 – 2,104 |
90% – 100% |
A |
|
1,683 – 1,892 |
80% – 89% |
B |
|
1,472 – 1,682 |
70% – 79% |
C |
|
1,262 – 1,471 |
60% – 69% |
D |
|
Below 1,262 |
Below 60% |
F |
Assignment 1: The Two-Variable Model
Due Week 3 and worth 240 points
Write a 4-5 page paper in which you:
· Develop and discuss a relationship that can be modeled with a simple regression.
· State the model in mathematical terms.
· Estimate the model and interpret the meaning of the coefficient estimates.
· Discuss a hypothesis test that would help confirm your theory.
Your assignment must:
· Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.
· Include a cover page containing the tile of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.
The specific course learning outcomes associated with this assignment are:
· Apply econometrics to conduct and present the analysis of economic data to support business and public policy decisions.
· Apply regression analysis to interpret the characteristics of populations and test hypotheses.
· Use technology and information resources to research issues in econometrics.
· Write clearly and concisely about econometrics using proper writing mechanics.
Grading for this assignment will be based on answer quality, logic/organization of the paper, and language and writing skills, using the following rubric.
|
Assignment 1: The Two-Variable Model |
||||
|
Criteria |
0 Unacceptable |
20 Developing |
30 Competent |
40 Exemplary |
|
1. Develop and discuss a relationship that can be modeled with a simple regression. |
Did not complete the assignment or did not develop and discuss a relationship that can be modeled with a simple regression; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially developed and discussed a relationship that can be modeled with a simple regression; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently developed and discussed a relationship that can be modeled with a simple regression. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully developed and discussed a relationship that can be modeled with a simple regression. Completed with 90-100% accuracy, thoroughness, and logic. |
|
2. State the model in mathematical terms. |
Did not complete the assignment or did not state the model in mathematical terms; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially stated the model in mathematical terms; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently stated the model in mathematical terms. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully stated the model in mathematical terms. Completed with 90-100% accuracy, thoroughness, and logic. |
|
3. Estimate the model and interpret the meaning of the coefficient estimates. |
Did not complete the assignment or did not estimate the model and interpret the meaning of the coefficient estimates; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially estimated the model and interpreted the meaning of the coefficient estimates; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently estimated the model and interpreted the meaning of the coefficient estimates. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully estimated the model and interpreted the meaning of the coefficient estimates. Completed with 90-100% accuracy, thoroughness, and logic. |
|
4. Discuss a hypothesis test that would help confirm your theory. |
Did not complete the assignment or did not discuss a hypothesis test that would help confirm your theory; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially discussed a hypothesis test that would help confirm your theory; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently discussed a hypothesis test that would help confirm your theory. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully discussed a hypothesis test that would help confirm your theory. Completed with 90-100% accuracy, thoroughness, and logic. |
|
5. Clarity |
Did not complete the assignment or explanations are unclear and not organized. (Major issues) |
Explanations generally unclear and not well organized. (Many issues) |
Explanations generally clear and /or organized. (Minor issues) |
Explanations very clear and well organized. (Added helpful details) |
|
6. Writing – Grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. |
Did not complete the assignment or had 8 or more different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. (Major issues) |
Had 6-7 different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. (Many issues) |
Had 4-5 different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. (Minor issues) |
Had 0-3 different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. |
Assignment 2: Multiple Regression
Due Week 4 and worth 280 points
Write a 4-5 page paper in which you:
· Develop a theory based on the first assignment that could be estimated with multiple regression.
· State the model in mathematical terms.
· Estimate the model and interpret the meaning of the coefficient estimates.
· Compare the results from the regression in Assignment 1 with the results from the regression in Assignment 2.
· Discuss which model better explains changes in the dependant variable.
Your assignment must:
· Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; references must follow APA or school-specific format. Check with your professor for any additional instructions.
· Include a cover page containing the tile of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required page length.
The specific course learning outcomes associated with this assignment are:
· Apply econometrics to conduct and present the analysis of economic data to support business and public policy decisions.
· Apply regression analysis to interpret the characteristics of populations and test hypotheses.
· Use technology and information resources to research issues in econometrics.
· Write clearly and concisely about econometrics using proper writing mechanics.
Grading for this assignment will be based on answer quality, logic/organization of the paper, and language and writing skills, using the following rubric.
|
Assignment 2: Multiple Regression |
||||
|
Criteria |
0 Unacceptable |
20 Developing |
30 Competent |
40 Exemplary |
|
1. Develop a theory based on the first assignment that could be estimated with multiple regression. |
Did not complete the assignment or did not develop a theory based on the first assignment that could be estimated with multiple regression; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially developed a theory based on the first assignment that could be estimated with multiple regression; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently developed a theory based on the first assignment that could be estimated with multiple regression. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully developed a theory based on the first assignment that could be estimated with multiple regression. Completed with 90-100% accuracy, thoroughness, and logic. |
|
2. State the model in mathematical terms. |
Did not complete the assignment or did not state the model in mathematical terms; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially stated the model in mathematical terms; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently stated the model in mathematical terms. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully stated the model in mathematical terms. Completed with 90-100% accuracy, thoroughness, and logic. |
|
3. Estimate the model and interpret the meaning of the coefficient estimates. |
Did not complete the assignment or did not estimate the model and interpret the meaning of the coefficient estimates; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially estimated the model and interpreted the meaning of the coefficient estimates; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently estimated the model and interpreted the meaning of the coefficient estimates. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully estimated the model and interpreted the meaning of the coefficient estimates. Completed with 90-100% accuracy, thoroughness, and logic. |
|
4. Compare the results from the regression in Assignment 1 with the results from the regression in Assignment 2. |
Did not complete the assignment or did not compare the results from the regression in Assignment 1 with the results from the regression in Assignment 2; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially compared the results from the regression in Assignment 1 with the results from the regression in Assignment 2; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently compared the results from the regression in Assignment 1 with the results from the regression in Assignment 2. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully compared the results from the regression in Assignment 1 with the results from the regression in Assignment 2. Completed with 90-100% accuracy, thoroughness, and logic. |
|
5. Discuss which model better explains changes in the dependant variable. |
Did not complete the assignment or did not discuss which model better explains changes in the dependant variable; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially discussed which model better explains changes in the dependant variable; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently discussed which model better explains changes in the dependant variable. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully discussed which model better explains changes in the dependant variable. Completed with 90-100% accuracy, thoroughness, and logic. |
|
6. Clarity |
Did not complete the assignment or explanations are unclear and not organized. (Major issues) |
Explanations generally unclear and not well organized. (Many issues) |
Explanations generally clear and /or organized. (Minor issues) |
Explanations very clear and well organized. (Added helpful details) |
|
7. Writing – Grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. |
Did not complete the assignment or had 8 or more different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. (Major issues) |
Had 6-7 different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. (Many issues) |
Had 4-5 different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. (Minor issues) |
Had 0-3 different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. |
Assignment 3: Course Project – Prospectus
Due Week 6 and worth 240 points
A course project is due in Week 10 which requires you to develop a mathematical model of an economic theory of your choosing (or of your own development), collect data to test your hypothesis, estimate your mathematical model, and draw conclusions to support your theory.
The course project prospectus (this assignment) ensures you are on your way toward completing the course project, and provides the professor the opportunity to provide feedback before the final project is completed.
For this assignment, write a 4-6 page paper in which you:
· Describe and discuss the theory or hypothesis you wish to discuss in your paper.
· Describe the model you plan to discuss.
· Determine the data sources you will use to estimate your model and explain why you feel these data sources are appropriate.
· Provide an annotated bibliography of at least six (6) peer-reviewed publications focused on your topic.
Your assignment must:
· Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; references must follow APA or school-specific format. Check with your professor for any additional instructions.
· Include a cover page containing the tile of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required page length.
The specific course learning outcomes associated with this assignment are:
· Apply econometrics to conduct and present the analysis of economic data to support business and public policy decisions.
· Apply regression analysis to interpret the characteristics of populations and test hypotheses.
· Select and apply the appropriate model to analyze economic data.
· Explain how to resolve issues of multicollinearity, heteroscedasticity, and autocorrelation in variables.
· Use technology and information resources to research issues in econometrics.
· Write clearly and concisely about econometrics using proper writing mechanics.
Grading for this assignment will be based on answer quality, logic/organization of the paper, and language and writing skills, using the following rubric.
|
Assignment 3: Course Project – Prospectus |
||||
|
Criteria |
0 Unacceptable |
20 Developing |
30 Competent |
40 Exemplary |
|
1. Describe and discuss the theory or hypothesis you wish to discuss in your paper. |
Did not complete the assignment or did not describe and discuss the theory or hypothesis you wish to discuss in your paper; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially described and discussed the theory or hypothesis you wish to discuss in your paper; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently described and discussed the theory or hypothesis you wish to discuss in your paper. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully described and discussed the theory or hypothesis you wish to discuss in your paper. Completed with 90-100% accuracy, thoroughness, and logic. |
|
2. Describe the model you plan to discuss. |
Did not complete the assignment or did not describe the model you plan to discuss; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially described the model you plan to discuss; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently described the model you plan to discuss. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully described the model you plan to discuss. Completed with 90-100% accuracy, thoroughness, and logic. |
|
3. Determine the data sources you will use to estimate your model and explain why you feel these data sources are appropriate. |
Did not complete the assignment or did not determine the data sources you will use to estimate your model and explain why you feel these data sources are appropriate; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially determined the data sources you will use to estimate your model and explained why you feel these data sources are appropriate; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently determined the data sources you will use to estimate your model and explained why you feel these data sources are appropriate. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully determined the data sources you will use to estimate your model and explained why you feel these data sources are appropriate. Completed with 90-100% accuracy, thoroughness, and logic. |
|
4. Provide an annotated bibliography of at least six (6) peer-reviewed publications focused on your topic. |
Did not complete the assignment or provided an annotated bibliography of less than two (2) peer-reviewed publications; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Provided an annotated bibliography of two to three (2-3) peer-reviewed publications; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Provided an annotated bibliography of four to five (4-5) peer-reviewed publications. Completed with 80-89% accuracy, thoroughness, and logic. |
Provided an annotated bibliography of at least six (6) peer-reviewed publications. Completed with 90-100% accuracy, thoroughness, and logic. |
|
5. Clarity |
Did not complete the assignment or explanations are unclear and not organized. (Major issues) |
Explanations generally unclear and not well organized. (Many issues) |
Explanations generally clear and /or organized. (Minor issues) |
Explanations very clear and well organized. (Added helpful details) |
|
6. Writing – Grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. |
Did not complete the assignment or had 8 or more different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. (Major issues) |
Had 6-7 different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. (Many issues) |
Had 4-5 different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. (Minor issues) |
Had 0-3 different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. |
Assignment 4: Model Selection and Specification Errors
Due Week 8 and worth 240 points
Write a 4-5 page paper in which you:
· Perform a regression restating the regression from Assignment 2 into one or more of the functional forms discussed in Chapter 5 and interpret the meaning of the coefficient in your new model.
· Identify a qualitative attribute or category that could affect your dependent variable, and discuss the dummy variables that you would create to estimate these categorical differences.
· Discuss any potential specification errors that may exist within your model.
· Perform tests to identify potential specification errors and discuss remedial actions based on your testing results.
Your assignment must:
· Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; references must follow APA or school-specific format. Check with your professor for any additional instructions.
· Include a cover page containing the tile of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required page length.
The specific course learning outcomes associated with this assignment are:
· Select and apply the appropriate model to analyze economic data.
· Use technology and information resources to research issues in econometrics.
· Write clearly and concisely about econometrics using proper writing mechanics.
Grading for this assignment will be based on answer quality, logic/organization of the paper, and language and writing skills, using the following rubric.
|
Assignment 4: Model Selection and Specification Errors |
||||
|
Criteria |
0 Unacceptable |
20 Developing |
30 Competent |
40 Exemplary |
|
1. Perform a regression restating the regression from Assignment 2into one or more of the functional forms discussed in Chapter 5 and interpret the meaning of the coefficient in your new model. |
Did not complete the assignment or did not perform a regression restating the regression from Assignment 2into one or more of the functional forms discussed in Chapter 5 and interpret the meaning of the coefficient in your new model; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially performed a regression restating the regression from Assignment 2into one or more of the functional forms discussed in Chapter 5 and interpreted the meaning of the coefficient in your new model; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently performed a regression restating the regression from Assignment 2into one or more of the functional forms discussed in Chapter 5 and interpreted the meaning of the coefficient in your new model. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully performed a regression restating the regression from Assignment 2into one or more of the functional forms discussed in Chapter 5 and interpreted the meaning of the coefficient in your new model. Completed with 90-100% accuracy, thoroughness, and logic. |
|
2. Identify a qualitative attribute or category that could affect your dependent variable, and discuss the dummy variables that you would create to estimate these categorical differences. |
Did not complete the assignment or did not identify a qualitative attribute or category that could affect your dependent variable, and discuss the dummy variables that you would create to estimate these categorical differences; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially identified a qualitative attribute or category that could affect your dependent variable, and discussed the dummy variables that you would create to estimate these categorical differences; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently identified a qualitative attribute or category that could affect your dependent variable, and discussed the dummy variables that you would create to estimate these categorical differences. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully identified a qualitative attribute or category that could affect your dependent variable, and discussed the dummy variables that you would create to estimate these categorical differences. Completed with 90-100% accuracy, thoroughness, and logic. |
|
3. Discuss any potential specification errors that may exist within your model. |
Did not complete the assignment or did not discuss any potential specification errors that may exist within your model; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially discussed any potential specification errors that may exist within your model; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently discussed any potential specification errors that may exist within your model. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully discussed any potential specification errors that may exist within your model. Completed with 90-100% accuracy, thoroughness, and logic. |
|
4. Perform tests to identify potential specification errors and discuss remedial actions based on your testing results. |
Did not complete the assignment or did not perform tests to identify potential specification errors and discuss remedial actions based on your testing results; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially performed tests to identify potential specification errors and discussed remedial actions based on your testing results; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently performed tests to identify potential specification errors and discussed remedial actions based on your testing results. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully performed tests to identify potential specification errors and discussed remedial actions based on your testing results. Completed with 90-100% accuracy, thoroughness, and logic. |
|
5. Clarity |
Did not complete the assignment or explanations are unclear and not organized. (Major issues) |
Explanations generally unclear and not well organized. (Many issues) |
Explanations generally clear and /or organized. (Minor issues) |
Explanations very clear and well organized. (Added helpful details) |
|
6. Writing – Grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required |
Did not complete the assignment or had 8 or more different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. (Major issues) |
Had 6-7 different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. (Many issues) |
Had 4-5 different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. (Minor issues) |
Had 0-3 different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. |
Assignment 5: Course Project
Due Week 10 and worth 320 points
Write an 8-10 page paper in which you:
· Develop a theory or hypothesis about some economic relationship.
· Based on your theory and research, specify a mathematical model of your theory.
· Identify and collect data to test your hypothesis.
· Use econometric methods to estimate your mathematical model.
· Use statistical inference to draw conclusions to support your theory.
· Include at least six (6) references (no more than three years old) from material outside the text(s).
Your assignment must:
· Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; references must follow APA or school-specific format. Check with your professor for any additional instructions.
· Include a cover page containing the tile of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required page length.
The specific course learning outcomes associated with this assignment are:
· Apply econometrics to conduct and present the analysis of economic data to support business and public policy decisions.
· Apply regression analysis to interpret the characteristics of populations and test hypotheses.
· Select and apply the appropriate model to analyze economic data.
· Explain how to resolve issues of multicollinearity, heteroscedasticity, and autocorrelation in variables.
· Use technology and information resources to research issues in econometrics.
· Write clearly and concisely about econometrics using proper writing mechanics.
Grading for this assignment will be based on answer quality, logic/organization of the paper, and language and writing skills, using the following rubric.
|
Assignment 5: Course Project |
||||
|
Criteria |
0 Unacceptable |
20 Developing |
30 Competent |
40 Exemplary |
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1. Develop a theory or hypothesis about some economic relationship. |
Did not complete the assignment or did not develop a theory or hypothesis about some economic relationship; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially developed a theory or hypothesis about some economic relationship; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently developed a theory or hypothesis about some economic relationship. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully developed a theory or hypothesis about some economic relationship. Completed with 90-100% accuracy, thoroughness, and logic. |
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2. Specify a mathematical model of your theory. |
Did not complete the assignment or did not specify a mathematical model of your theory; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially specified a mathematical model of your theory; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently specified a mathematical model of your theory. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully specified a mathematical model of your theory. Completed with 90-100% accuracy, thoroughness, and logic. |
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3. Identify and collect data to test your hypothesis. |
Did not complete the assignment or did not identify and collect data to test your hypothesis; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially identified and collected data to test your hypothesis; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently identified and collected data to test your hypothesis. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully identified and collected data to test your hypothesis. Completed with 90-100% accuracy, thoroughness, and logic. |
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4. Use econometric methods to estimate your mathematical model. |
Did not complete the assignment or did not use econometric methods to estimate your mathematical model; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially used econometric methods to estimate your mathematical model; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently used econometric methods to estimate your mathematical model. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully used econometric methods to estimate your mathematical model. Completed with 90-100% accuracy, thoroughness, and logic. |
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5. Use statistical inference to draw conclusions to support your theory. |
Did not complete the assignment or did not use statistical inference to draw conclusions to support your theory; omitted information and/or included irrelevant information. Completed with less than 60% accuracy, thoroughness, and logic. |
Partially used statistical inference to draw conclusions to support your theory; omitted some key information. Completed with 60-79% accuracy, thoroughness, and logic. |
Sufficiently used statistical inference to draw conclusions to support your theory. Completed with 80-89% accuracy, thoroughness, and logic. |
Fully used statistical inference to draw conclusions to support your theory. Completed with 90-100% accuracy, thoroughness, and logic. |
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6. Include at least six (6) references (no more than three years old) from material outside the text(s). |
Included less than two (2) references from material outside the text(s). |
Included two to three (2-3) references (no more than three years old) from material outside the text(s). |
Included four to five (4-5) references (no more than three years old) from material outside the text(s). |
Included six (6) or more references (no more than three years old) from material outside the text(s). |
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7. Clarity |
Did not complete the assignment or explanations are unclear and not organized. (Major issues) |
Explanations generally unclear and not well organized. (Many issues) |
Explanations generally clear and /or organized. (Minor issues) |
Explanations very clear and well organized. (Added helpful details) |
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8. Writing – Grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. |
Did not complete the assignment or had 8 or more different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. (Major issues) |
Had 6-7 different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. (Many issues) |
Had 4-5 different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. (Minor issues) |
Had 0-3 different errors in grammar, sentence structure, paragraph structure, spelling, punctuation, and APA usage, if required. |
Weekly Course Schedule
The purpose of the course schedule is to give you, at a glance, the required preparation, activities, and evaluation components of your course. For more information about your course, whether on-ground or online, access your online course shell.
The expectations for a 4.5 credit hour course are for students to spend 13.5 hours in weekly work. This time estimate includes preparation, activities, and evaluation regardless of the delivery mode.
Instructional Materials
In order to be fully prepared, obtain a copy of the required textbooks and other instructional materials prior to the first day of class. When available, Strayer University provides a link to the first three (3) chapters of your textbook(s) in eBook format. Check your online course shell for availability.
Review the online course shell or check with your professor to determine whether Internet-based assignments and activities are used in this course.
Strayer students are encouraged to purchase their course materials through our designated Strayer Bookstore. http://www.strayerbookstore.com If a lab is required for the course, the Strayer Bookstore is the only vendor that sells the correct registration code so that Strayer students may access labs successfully.
Discussions
To earn full credit in an online threaded discussion, students must have one original post and a minimum of one other post per discussion thread.
Please note: Material in the online class will be made available on the previous Thursday. As it is always possible that students could lose their work due to unforeseen circumstances, it is a best practice to routinely save a working draft in a separate file before posting in the course discussion area. Professors hold discussions during class time for on-ground students. Check with your professor if any additional discussion participation is required in the online course shell outside of class hours.
Assignments
A standardized performance grading rubric is a tool your professor will use to evaluate your written assignments. Review the rubric before submitting assignments that have grading rubrics associated with them to ensure you have met the performance criteria stated on the rubric.
Grades are based on individual effort. There is no group grading; however, working in groups in the online or on-ground classroom is acceptable.
Assignments for online students are always submitted through the online course shell. On-ground professors will inform students on how to submit assignments, whether in paper format or through the online course shell.
Resources
The Resource Center navigation button in the online course shell contains helpful links. Strayer University Library Resources are available here as well as other important information. You should review this area to find resources and answers to common questions.
Technical support is available for the following:
· For technical questions, please contact Strayer Online Technical Support by logging in to your iCampus account at https://icampus.strayer.edu/login and submitting a case under “Student Center,” then “Submit Help Ticket.” If you are unable to log in to your iCampus account, please contact Technical Support via phone at (877) 642-2999.
· For concerns with your class, please access the Solution Center by logging in to your iCampus account at https://icampus.strayer.edu/login and submitting a case under “Student Center,” then “Submit Help Ticket.” If you are unable to log in to your iCampus account, please contact the Office of Student Affairs via email at mailto:[email protected] .
TurnItIn.com is an optional online tool to assess the originality of student written work. Check with your professor for access and use instructions.
The Strayer Policies link on the navigation bar in the online course shell contains academic policies. It is important that students be aware of these policies.
