Introduction to the Macroeconomic Structure of Yemen

Mohamed, Issam A.W. (2011): Introduction to the Macroeconomic Structure of Yemen.

Abstract

In countries where tools of economic control are immature and disabled due to totalitarian systems, macroeconomic analyses for aggregate quantities and relationships, such as total consumption, investment, and government expenditures represents a difficult task. The practice of aggregation distinguishes this field of microeconomics and has advantages but also creates problems, a brief survey of these problems is required now, although a deeper appreciation of these must await the critical attitudes that can only develop with more exposure to entire subject. One difficulty is the complex area known as the aggregation problem, the classifying of widely varying goods or activities into one general category, which is treated as a homogeneous variable. The political, social and military fate of nations depends greatly upon economic success, and no area of economics is today more vital to nation’s success than its macroeconomic performance. Countries like Japan which has grown rapidly by wining export markets for its products, enjoy enhanced political power and higher living standards. A country’s living standards depend crucially upon its macroeconomic policies.

• Item Type: MPRA Paper
• Language: English
• Keywords: Yemen, Macroeconomics, Money Supply, Demand
• Subjects: R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics; A - General Economics and Teaching > A1 - General Economics; C - Mathematical and Quantitative Methods > C0 - General; C - Mathematical and Quantitative Methods > C5 - Econometric Modeling; C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C46 - Specific Distributions ; Specific Statistics; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R15 - Econometric and Input-Output Models ; Other Models; A - General Economics and Teaching > A1 - General Economics > A10 - General; C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General; C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics; A - General Economics and Teaching > A1 - General Economics > A13 - Relation of Economics to Social Values; C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables; A - General Economics and Teaching > A1 - General Economics > A12 - Relation of Economics to Other Disciplines; A - General Economics and Teaching > A1 - General Economics > A19 - Other; C - Mathematical and Quantitative Methods > C0 - General > C01 - Econometrics

References

1. Dominick S. (1982) Statistics and econometrics, theory and problems. McGraw Hill.

2. Hinkeley, N., Reid L. and Snell, E. (1991) Statistical theory and modeling. Chapman hall.

3. Frederic Barlat, Long-Qing Chen (2004) MONTE CARLO METHODS. Wiley Verlag GmbH.

4. Jonathan Pengelly, February 26, 2002,

5. Anthony S. Campagna, (1974) Macroeconomics Theory and Policy. University of Vermont.

6. Paul Samuelson & William D. Nordhous (1992) Economics. Fourteenth edition

7. Karl E, case, Ray c. fair 1989-1992, Principles of macroeconomic. second edition, prentice hall inc

8. Paul, W. (1989) Macroeconomic from theory to practice,. McGraw Hill,

9. Fernandez-Villaverde, Juan F. Rubio-Ramerez (2004) Estimating Macroeconomic Models: A Likelihood Approach.

10. Central Bank of Yemen (2006) World Economic Situation and Domestic Economic Developments report.

11. Central Statistical Organization (2005) Trade Statistics Indicators book.

12. Kevin Dooley (2002) Simulation Research Methods. Arizona State University.

13. Kristin den Exter (2004) Integrating Environmental Science and Management: The Role of System Dynamics Modeling, PhD Dissertation.

14. Allenna Leonard with Stafford Beer (19994)The system perspective: Methods and Models for the future.

15. Ford, A. (1999) Modeling the Environment: An Introduction to System Dynamics Modeling of Environmental Systems.

16. Craig W. Kirkwood (1998) System Dynamics Methods: A Quick Introduction, College of Business, Arizona State University, Original material copyright, 1998

18. Rudolf J. Freund, William J. Wilson (1998) Regression analysis, statistical modeling of a response variable. Academic Press.

23. Schneider, M. and Spitzer, M. (2004) Forecasting Austrian GDP using the generalized dynamic factor model.

24. Jiuping Xu (2006) Modeling and simulation of a System Dynamics model for counrty cycle economy, World Journal of Modeling and Simulation Vol. 2, No. 3.

25. Lucia Breierova amd Choudhari, M. (2001) An Introduction to Sensitivity Analysis. Massachusetts Institute of Technology.

26. James M. Lyneis (1998) System Dynamics in Business Forecasting: A Case Study of the Commercial Jet Aircraft Industry.

27. Loutfi M., Moscardini, O. and Lawler K., (1995) Using System Dynamics to analyse the Economic Impact of Tourism Multipliers, School of Computing, Engineering and Technology, University of Sunderland, Sunderland, United Kingdom.

28. Goldstein, H. (1999) Multilevel statistical models,, institute of education, multilevel models project. New York.

29. Kleijen, J. (1990) Sensitivity Analysis of System Dynamics Models: Regression Analysis and Statistical Design.

30. Shoukath Ali. and Ramaswamy, N. (1993) Statistical Methods for Improving Confidence in System Dynamics Models. A case Study on Blood Bank Inventory Management Systems.