ECON2209‚ Business Forecasting‚ 2014 S1 Course Project (14% + 3% in Total) 1. This project has a value of 14% of the total assessment. In addition‚ there is a teamwork component worth 3%. The teamwork mark will be based on the online self and peer assessment (see Teamwork Assessment section at the end of this document). 2. This project must be completed in a group of 3 or 4 students. The members of a group come from the same tutorial class. Groups have been alphabetically assigned. Each group
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495-502‚ (May1989). Parks K.‚ (1978)‚ “Inflation and Relative Price Variability”‚ J. Polit. Econ.‚ 86‚ 79-95. Pesaran M. H.‚ Shin Y.‚ and Smith R. J.‚ (2001)‚ “Bound Testing Approaches to the Analysis of Level Relationships”‚ Journal of Applied Econometrics‚ 16‚ 289-326. Saghaian S. H.‚ M. R. Reed‚ and M. A. Marchant‚ (2002)‚ “Monetary Impacts and Overshooting of Agricultural Prices in an Open Economy”‚ American Journal of Agricultural Economics‚ 84(1)‚ 90-103‚ (.ebruary 2002). Shane M. D.‚ and W
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economic decisions rest upon forecasts of future conditions. Methods of forecasting may be roughly categorized as follows: * Opinion polling * Mechanical extrapolations * Barometric techniques * Statistical and econometric methods Finally‚ forecasting techniques vary widely in their accuracy and sophistication. The most accurate technique is to be preferred‚ subject to the availability of data‚ expertise and finance and to the nature of the forecast required.
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References: of Nonexperimental Data‚ Tucson‚ Arizona‚ April 8-10‚ 1987 90-3454 (May 1990). Heise‚ D. Causal Analysis. Wiley and Sons: New York (1975). Oaks‚ CA (2001). Two-Part Models‚” Journal of Econometrics 35 (1987) pp Prentice-Hall‚ Inc.: Upper Saddle River‚ NJ (2000). Medical Association 272:11 (September 21‚ 1994) pp Cambridge‚ MA (September 1999). Edition. MIT Press: Cambridge‚ MA (1998). Company: New York (1988). Press: (March 2000). Oxford
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Corporate Governance Emerald Article: Corporate socialresponsibility and labor turnover Donald F. Vitaliano Article information: To cite this document: Donald F. Vitaliano‚ (2010)‚"Corporate social responsibility and labor turnover"‚ Corporate Governance‚ Vol. 10 Iss: 5 pp. 563 - 573 Permanent link to this document: http://dx.doi.org/10.1108/14720701011085544 Downloaded on: 09-11-2012 References: This document contains references to 22 other documents Citations: This document has been cited
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[1] Ma Siddiqui (2009) Statistical irrelevance of Kibor to the vitality of Pakistan. [5] Initkhab A and Dr. R Salaria‚ Determinance and dynamics of Dividend policy: Evidence from Pakistan Banking Sector. JISR V-7‚ 2009. [6] Green‚ W. H. (1997) Econometric Analysis‚ 3rd Edition‚ New Jersy. [7] http//www brecordeor.com/index.php. [12] E. Erraise and F. Mercurio‚ Yes‚ Libor Models can capture Interest Rate Derivation Skew: A simple modeling Approach (2005)
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Issue 3‚ March 1980‚ Pages 175-192. Cai‚ J.‚ Cheung‚ Y. and Wong‚ M (2001)‚ “What Moves the Gold Market?”‚ The Journal of Futures Markets‚ Vol. 21‚ No. 3‚ 257-278‚ Ó John Wiley & Sons‚ Inc. Campbell‚ J. Y.‚ Lo‚ A. W.‚ & MacKinlay‚ A. C. (1997). The Econometrics of Financial Markets. Second Edition‚ Princeton: Princeton University Press. Chua‚ J.‚ and Woodward‚ R. (1982)‚ “Gold as an Inflation Hedge: A Comparative Study of Six Major Industrial Countries”‚ Journal of Business Finance and Accounting‚ Vol
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Economic Modelling 33 (2013) 65–70 Contents lists available at SciVerse ScienceDirect Economic Modelling journal homepage: www.elsevier.com/locate/ecmod Terrorism and tourism: A conjunction and ramification in Pakistan Syed Ali Raza ⁎‚ Syed Tehseen Jawaid 1 IQRA University‚ Karachi-75300‚ Pakistan a r t i c l e i n f o a b s t r a c t This study investigates the impact of terrorism activities on tourism in Pakistan by using the annual time series data from the period of 1980
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Paper accepted for publication in Business Strategy & the Environment (forthcoming). Version: Sept. 1‚ 2005 The Influence of Eco-Labelling on Consumer Behaviour – Results of a Discrete Choice Analysis Katharina Sammer and Rolf Wüstenhagen* Institute for Economy and the Environment (IWOe-HSG)‚ University of St. Gallen‚ Switzerland Abstract Eco-labelling is an important tool to overcome market failure due to information asymmetries for environmental products. While previous research has discussed
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Evaluate client rosters and speak to vendor references. 2. Evaluate the available skills and resources. Analytic techniques range from basic predictive modeling and segmentation to advanced techniques such as bayesian methods‚ neural networks‚ and econometric models. Firms that heavily favor one approach may not have the breadth of skills to solve companies’ needs. Companies should inquire how firms determine the right approach and beware of “we know best” answers. 3. Review the company’s approach
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