Autocorrelation Essays and Research Papers

Instructions for Autocorrelation College Essay Examples

Title: Restoring investor confidence in audits and financial statements

  • Total Pages: 10
  • Words: 3045
  • Bibliography:4
  • Citation Style: APA
  • Document Type: Essay
Essay Instructions: This custom research request is for an econometrics research paper focused on Central and Eastern Europe, including statistical analysis of data to be performed in Stata with output to be included in the appendix. The paper should analyse whether the 2004 EU enlargement contributed to economic growth in the ten new member countries from Central and Eastern Europe. This research paper will require data collection and analysis, which should also be included in the research paper (with all data to be sent to me in an excel file, if possible. Otherwise a word document shall suffice). Please use Arial font.

The following topics were covered during the course - for the statistical analysis of data please choose a method appropriate to the course outline.
1. Basic principals of estimation
2. Linear Regression Analysis
3. Regression with a binary dependent variable
4. Panel Data Econometrics
5. Time Series Econometrics
6. Instrumental Variable Regression

The project details are as follows:

1) Executive summary, giving main features and conclusions of the study in no more than 300 words:
• Aim
• Theory
• Data
• Methods
• Conclusions regarding the quality of the results (comparative and policy analysis and/or forecasts)

2) Clear account of what problems the project addresses

3) Explanation of the economic theory and literature - Basic theory for modeling (2-3 pages)
Good use of references: to the theory and to other empirical work.

4) The development of estimable model (2-3 pages):
• How to replace in the theoretical model the macro-micro-economic notions by statistical data
• Problem of unobservable variables and/or missing observations
• How to solve out unobservable variables (e.g. permanent income)
• How (and why) to simplify
• Problems with outliers
• Justification of correct model estimation (references to omitted variables, bias, stochastic regressors, nonstationarity etc.)

5) Description of data quality, their properties and sources (2-3 pages)
• Clear definitions of particular variables
• Choice of data period (brief justification)
• Pre-sample, sample and forecast periods
• Recalculation tricks:
o Related to changes in definition and measurements of variables
o Related to changes in definition of the base for index variables
o Approximation of gaps (missing observations) in the series
o Recalculation of the nominal into real variables
• Your assessment of the data quality: write down as much as possible about data deficiencies. No need to use perfect data.
• Static and dynamic properties of the data (6-8 pages):
• Visual, descriptive analysis of data
1. Cross-sectional data: graphs, analysis of heteroscedasticity (original
and transformed)
2. Time series of data: original and transformed for the modelling (e.g.
income and money in logs)
3. Histograms of potentially stationary series (e.g. interest rates, first
differences of logs of money and income variables)
4. Visual analysis of stationarity and normality of data
5. Are there any outliers (structural breaks) in the series? If so, why did they happen? (look back to the literature)
• Stationary Properties
• Analysis of heteroscedasticity, outliers, etc
• Good, thorough analysis (relevant output should go to the Appendix)
• Further statistical analysis of (stationary) transformations of data (autocorrelation function, normality, outliers)

6) Estimation and economic interpretation (4-5 pages)
• Explaining the economic rationale for the relationship. What are the
• expected signs (and values) of the parameters?
• Was your estimation procedure applied correctly?
• Hypothesis testing
• Further statistical analysis, graphical and analytical (heteroscedasticity, cointegration, long-run relationships etrc).

7) Conclusion (1 page)
What has been achieved; what is good and what is bad about the model?
• Are assumptions realistic?
• Are data adequate (long enough, of a good quality, etc)?
• Is any important series missing or approximated?
• Are estimates interpretable?
• Is model good enough for forecasting/policy analysis?
• How it can be further developed in the future?

Excerpt From Essay:

Bedard, J. & Gendron, Y. (2010). Can audit committees deliver? CA Magazine; Sep 2010; 143 (7). 50-53.

Gates, S., Lowe, D. & Reckers, P. (2007). Restoring public confidence in capital markets through auditor rotation. Managerial Auditing Journal. 22 (1): 5-17.

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Title: Effects of Openness on Growth

  • Total Pages: 2
  • Words: 526
  • References:0
  • Citation Style: MLA
  • Document Type: Research Paper
Essay Instructions: I need an econometric paper put together relating to the effects of "openness" (i.e. free trade policy) on growth. It is important that the models used should be from material studied during the semester. I will forward the lecture slides which will show the models we have studied once I have contact information. I would prefer if all data models be done on either stata or matlab and the codes forwarded to me with the paper.

Below, I set forth the general guidelines for the paper as provided by the professor:

The purpose of the project is to provide students with experience applying econometric skills learned in class to real world issues. The project entails posing a problem, collecting an appropriate data set, conducting an econometric analysis, and writing the results of a short research paper. The paper should use the following structure

I. Introduction of the economic/econometric problem.
II. Brief review of the literature and a brief description of the economic model.
III. Description of the econometric model and the data you chose.
IV. Description and Interpretation of Results (Include results of all diagnostic tests)
V. Conclusions
VI. References
VII. Tables and Figures

Sections III and IV are the core of the paper. Put extra effort into these sections. Specifically, you must be able to motivate your choice of data, the formulation of the model, and the econometric techniques you used. Explain why you have included each of the variables you have used. Justify the exclusion of variables that others may deem important. Explain your econometric techniques. What are the assumptions you are making? What diagnostic test did you undertake? Is heteroskedasticity or autocorrelation present? Did you correct for it? If not, what can you do to correct for it? Did you test for appropriateness of functional form or other misspecification errors? The project must make use of at least one estimation technique that we cover this semester. In addition it should contain a comparison to OLS. The comparison should be methodological as well as empirical in that you should explain why the “new” estimation technique is more appropriate than OLS and how the results changed.

Excerpt From Essay:

DeFelice, A., & Leon, J. (2010). Cloud Computing. Journal of Accountancy, 210(4), 50-55,12.

Truong, D. (2010). How Cloud Computing Enhances Competitive Advantages: A Research Model for Small Businesses. The Business Review, Cambridge, 15(1), 59-65.

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