Assignment 1: Demand Estimation Due Week 3 and worth 200 points Imagine that you work for the maker of a leading brand of low-calorie, frozen microwavable food that estimates the following demand equation for its product using data from 26 supermarkets around the country for the month of April. For a refresher on independent and dependent variables, please go to Sophia’s Website and review the Independent and Dependent Variables tutorial, located at http://www.sophia.org/tutorials/independent-and-dependent-variables--3
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Demand Estimation Trevor Shipp 23 July 2015 Managerial Economics Dr. Juliet U Elu Introduction Today we will be examining our tactics in how we have become the leading brand in providing low-calorie, microwavable frozen foods. We have collected data from approximately 26 supermarkets across the country for the month of April. The firm will attempt to pinpoint an estimate of our consumer demand to aid us in making our next move. First, we will compute the elasticities of all independent
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Demand Estimation | [Type the document subtitle] | | Professor: Dr. Camille Castorina | | ECO 550: Managerial Economics and Globalization | 7/21/2014 | | In this assignment we will look at a certain scenario that involves estimating the demand of a product when certain variables are put into place. So first thing is understanding what is demand and how does it apply in Economics. “The law of demand states that when the price of a good rises, the amount demanded falls, and when
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goods (x and y). The resulting choices can be written as demand curves x = x( px , p y I ) y = x( px , p y I ) That is, demand for X (and Y) is a function of prices and income. PROBLEM: The above demand curves are based on the assumption that x and y are chosen continuously (i.e. the consumer can select ANY value that satisifies the income constraint) When the product in question is only available in discreet quantities, the demand curve is not particularly useful….we need to look at the
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Assignment 1: Demand Estimation By Michael A. Stevenson Managerial Economics 1/23/2014 The market of leading brand of low calorie microwavable food estimated the following demand equation for its product using data from 26 supermarkets around the country for the month of April: Q = - 5200 – 42P + 20 PX + 5.2 I + 0.2 A + 0.25 M | | (2.002) | (17.5) | (6.2) | (2.5) | (0.09) | (0.21) | | | R2 = 0.55 | N= 26 | F = 4.88 | | * Q =
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Supply and Demand Simulation Paul C. Hostman ECO 365 February 2, 2015 Dr. Jong Yi Supply and Demand Simulation Objective The Supply and demand simulation is designed to apply real world business concepts to gain a better understanding of how a company analyzes supply and demand to optimize decision making. The simulation sample industry of rental property management can be used as a learning tool to identify the causes that change aggregate supply (AS) and aggregate demand (AD) and the
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Assignment 1: Demand Estimation By Michael A. Stevenson Managerial Economics 1/23/2014 The market of leading brand of low calorie microwavable food estimated the following demand equation for its product using data from 26 supermarkets around the country for the month of April: Q = - 5200 – 42P + 20 PX + 5.2 I + 0.2 A + 0.25 M | | (2.002) | (17.5) | (6.2) | (2.5) | (0.09) | (0.21) | | | R2 = 0.55 | N= 26 | F = 4.88 | | * Q =
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and Statistics Rufus Giwa Polytechnic, Owo, Ondo State Abstract This paper assesses the determinants of demand functions for import in Nigeria using variables Real Gross Domestic Product (RGDP), External Reserves (EXTR), Real Exchange Rate (REXCH), and Index of Openness (OPNS) as determinant factors. The central aim of the study is to investigate the behavior of Nigeria’s aggregate import demand and its determinant (function) and then analyse the data from the period 1970 to 2008 and based on the
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Demand estimation Early in 1993, the Southeastern Transportation Authority (STA), a public agency responsible for serving the commuter rail transportation needs of a large Eastern city, was faced with rising operating deficits on its system. Also, because of a fiscal austerity program at both the federal and state levels, the hope of receiving additional subsidy support was slim. The board of directors of STA asked the system manager to explore alternatives to alleviate the financial
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Demand Estimation Jasmine P ECO 550 Professor Sumadi May 3, 2015 Compute the elasticities for each independent variable. Note: Write down all of your calculations. QD = - 5200 - 42P + 20PX + 5.2I + .20A + .25M P = 500 PX = 600 I = 5500 A = 10,000 The quantity demanded is calculated as: Qd = -5200 – 42(500) + 20(600) + 5.2(5500) + 0.2(10000) +0.25(5000) = 17,650 Calculate Price Elasticity: Price Elasticity = (P/Q) * (Dq/Dp) = (500/17650) * (-42) = -1.19 Calculate other independent
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