Methods of demand estimation. Demand forecasting. Forecasting of an established product. Forecasting of a new product. (8) 3. Production Function. Law of Variable Proportions. Law of supply. Elasticity of supply. Measurement of elasticity. Significance and uses of the concept of elasticity. (6) 4. Costs of production. Private costs and Social Costs. Accounting Costs and economic costs. Short run and Long Run costs. Economies of scale. Cost estimation. Methods of cost estimation and cost forecasting
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fail in a cross-section when samples are not representative of underlying population‚ in fact some data sets are constructed by intentionally oversampling different parts of the population. 2. Ordinary least squares and instrumental variable estimation * In what case the omitted variable can result in the asymptotic bias of an estimator? When the effect of an omitted variable is negligible? Consider following model‚ which assumes additive effect of
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greater degree of fiscal autonomy to local government units‚ a periodic evaluation of the performance of the prevailing local tax system from the perspective of resource mobilization is‚ therefore‚ an imperative task among local government units. Estimation of Tax Buoyancy and Elasticity An important point to consider in any tax system is the responsiveness of the tax revenue to
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ECONOMICS-I MBA I(2012-14)‚ Semester I Course Advisor Prof. S Debi / Prof. S. Tripathy Total Credits 2 Total Sessions 20 Course Contents Module 1 Goal of Firm Household Consumer Behavior Utility Analysis‚ Demand Theory and Elasticity Analysis Estimation of Demand Module 2 Production Theory and Analysis Short run and Long run Behaviour Cost Theory and Analysis Short run and Long run Behaviour‚ Transaction Cost Analysis. Module 3 Types of Market Perfect Competition- Price and output decision in short
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Business Information Systems HA(IT) My questions: 1. Define the concept information system and its constitutive elements; describe the broad categories of computer-based information systems‚ providing relevant business examples for each category identified; explain how computer-based information systems can support managers at each level of an organisation. 2. Explain the main elements and steps of the project management process and‚ considering your essay writing as a project
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schmidt@comm.uni-bremen.de and Reinhard R¨ ckriem and Stefan Fechtel u Infineon Technologies AG‚ P.O. Box 80 09 49‚ D-81609 Munich‚ Germany e-mail: reinhard.rueckriem@infineon.com Abstract— In the presented paper‚ the principle of frequency domain channel estimation for wireless OFDM systems will be shown. A well known noise reduction technique will be adapted to HIPERLAN/2 and IEEE802.11a standards‚ and its positive effects will be demonstrated by simulation results. Channel tracking has not been considered
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Form a 95% confidence interval for the mean price at which a used SUV is advertised. b. Treat these listings as a pilot study. Based on these data‚ how many advertisements would you need to sample in order to have a margin of error of $500 for estimation of the mean advertised price of a van with a 95% confidence interval? c. What variable could prove useful in
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ECON 1203 Progress Report: 1. * Descriptive statistics (Emphasis of course so far) * What are the key features of data? * How can we best describe these features so that analysis is informative * Inferential statistics (Emphasis of course to come) * Extracting information about population parameters on basis of sample statistics * What does a sample mean tell us about a population mean? * Typically only alternative because difficult or impossible
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Definition of Value at Risk (VaR) Value at risk is a statistical technique which measures the level of financial risk in a portfolio over a specific time frame. For example‚ if a firm states that it has a 1% one week value at risk of $5 million; this would mean that for any given week‚ the firm would have a 1% chance of losing $5 million. In order words‚ 1 out of every 100 weeks‚ the firm would expect to have a loss of $5 million. This can be viewed as the standard deviation of portfolio value
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[pic] ARMY PUBLIC SCHOOL AND COLLEGE‚ JHELUM CANT Paper: Statistics Pre- Board 2012 (Objective) Marks: 18 Time: 30 min Name: ………………………………………………………………………… Section: ………………… SECTION-A (18 Marks) | |Select the correct answer. Cutting or over writing is not allowed. | | | |If in a table all possible values of a random variable are given with their corresponding probabilities‚ then its
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