Republic of Vardar Revenue forecasts: Expected Tax Collections PAD 505 June 8‚ 2012 Abstract At independence in November 1991‚ the Republic of Vardar (named after the Vardar River Valley) was the least developed of the Yugoslav republics. Although the poorest of the six former Yugoslav republics‚ the country nevertheless can sustain itself in food and energy needs using its own agricultural and coal resources. From 1998 to 2000 real GDP growth averaged a little
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Seasonal Adjustment used: Census II X-12 multiplicative (MASA): Used because of the presence of seasonal variations that are increasing with the level of my series. Increasing degree of variability overtime… TX non seasonalized and seasonalized 3) Combined seasonally adjusted with non-seasonally adjusted De-seasonalizing the data helped with the removal of seasonal component that creates higher volatility in model. Now‚ variations more stable 4) No cyclical component. No evidence
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Manager’s Guide to Forecasting by David M. Georgoff and Robert G. Murdick Harvard Business Review Reprint 86104 J A N U A RY– F E B R U A RY 1 9 8 6 HBR Manager’s Guide to Forecasting David M. Georgoff and Robert G. Murdick E arly in 1984‚ the Houston-based COMPAQ Computer Corporation‚ manufacturer of IBMcompatible microcomputers‚ faced a decision that would profoundly affect its future. Recognizing that IBM would soon introduce its version of the portable computer and threaten
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Issues 1.1 What is forecasting? Forecasting is the process of making statements about future happenings based on the previous data collected. Forecasting usually is an estimation of the future data‚ happenings‚ trends‚ values‚ etc for the specified date. A commonplace example is estimation of the expected value for some variable of interest at some specified future data. The forecasting is similar to the prediction‚ but more general term. However‚ as the term implies‚ forecasting is not necessarily
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DURABILITY AND MONOPOLY R. H. COASE Universityof ChicagoLaw School that A SSUME a supplier owns the total stock of a completely durable good. At what price will he sell it? To take a concrete example‚ assume that one person owns all the land in the United States and‚ to simplify the analysis‚ that all land is of uniform quality. Assume also that the landowner is not able to work the land himself‚ that ownership of land yields no utility and that there are no costs involved in disposing
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Marriott Rooms Forecasting Executive Summary In the case of the Hamilton hotel‚ Snow needs to make a decision as to if 60 additional rooms reservations should be accepted which could lead to overbooking (Weatherford & Bodily‚1990). It is a problem of capacity utilization that is being faced in this particular case where revenue maximization is aimed while minimizing customer dissatisfaction. In this report the case is put forward and various methods have been chosen to come to a sensible conclusion
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Introduction: Forecasting has long been important to marketing practitioners. Today forecasting is one of the most important activities in the company. Marketing forecasting allows company to understand the implications of changes in demand and sales. In other words forecast is prepared to reflect the anticipated results‚ with projected sales‚ profitability and cash flow (Mercer 1998). Forecast may and will influence future marketing plans. Managers ’ forecasting needs vary considerably. They may
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candidate and making sure of the succession are being put in place. Making decisions on recruitment and development are strategic and will produce long-lasting results given the right people are being chosen. Therefore‚ the management must forecast the demand and supply of human resource as part of the organization’s business and functional planning processes. Establishing long-term human resources requirements is inter-related to strategic business plans. Strategic business plans should provide a base
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TYPES OF FORECASTING METHODS Qualitative methods: These types of forecasting methods are based on judgments or opinions‚ and are subjective in nature. They do not rely on any mathematical computations. Quantitative methods: These types of forecasting methods are based on quantitative models‚ and are objective in nature. They rely heavily on mathematical computations. QUALITATIVE FORECASTING METHODS Qualitative Methods Executive Opinion Market Research Delphi
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ITM UNIVERSITY ECONOMICS DETERMINANTS OF DEMAND SUBMITTED TO: Miss. Surti Dahuja SUBMITTED BY : SHUMYLA KHAN‚ KINNI KANSANA‚ SAGAR VYAS‚ Shibu lijack DEMAND “Demand for a commodity refers to the quantity of the commodity which an individual consumer or a household is willing to purchase per unit of time at a particular price”. Demand for a commodity implies – a) Desire of the consumer to buy the product‚ b) His willingness to buy the product‚ and c) Sufficient purchasing power in his pocket
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