Economic Forecasting Paper Rebecca Sloop University Of Phoenix Principles of Macroeconomics ECO/372 Alexander Heil PhD November 23‚ 2012 Economic Forecasting Paper Two historical economic data where information can be found are Bureau of Economic Analysis‚ U.S. Department of Commerce and FRED‚ Economic Time-Series Database. The FRED database comprises the national economic and financial statistics as well as interest rates‚ consumer price indexes‚ employment and population and trade data
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Financial and Economic Forecasting The Civilian Unemployment Rate By: Doug Hanig Due: 5/15/12 Doug Hanig Professor Hecht Finc-411 3/12/12 Part 1 A. Civilian Unemployment Rate (FRED Database) Government Agency: US Department of Labor: Bureau of Labor statistics B. The government would be interested in this forecast for many reasons. By forecasting the civilian unemployment rate‚ the government can have an idea of how stable
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Quantitative Methods ADMS 3330 3 0 3330.3.0 Forecasting QMB Chapter 6 © M.Rochon 2013 Quantitative Approaches to Forecasting Are based on analysis of historical data concerning one or more time series. Time series - a set of observations measured at successive points in time‚ or over successive periods of time. If the historical data: • are restricted to past values of the series we are trying to forecast‚ it is a time series method. 1 Components of a Time Series 1)
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Measuring the Effect of Density on Growth of Mung Bean (Vigna radiata) Plants Wylliam Wagoner1 1 Population and Community Ecology‚ Butler University‚ Indianapolis‚ Indiana 46208‚ USA ABSTRACT For this experiment‚ we set out to find if density and time had an effect on growth of mung bean plants. We decided to test evidence of growth by measuring plant biomass. We measured the biomass each week for four weeks of plants grown at different densities. We found that density had an overall effect
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1. Which are the data sources (primary and secondary) you would use‚ in order to arrive at a realistic market forecast for the fruit and vegetable and why? In order to create a realistic forecast for the fruit and vegetables in the Australian market in the coming year I would be required to use a variety of primary and secondary sources to ensure that my forecast was correct and had covered all areas relevant. I would begin by conducting some exploratory research of my own‚ such as browsing the
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Data Inspection First we will smooth the series by transforming the data on oil demand into their logarithmic form. The log transformation allows the model to be less vulnerable to outliers in the data‚ and thus enables for a more precise forecasting model. Next the data series must be checked for trend and seasonality. Figure 1.1 shows the time series plot for the log transformation of oil imports in Germany from 1985M01 until 1996M12. [pic] Before fitting a trend and seasonal dummies to
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The effects of pH on mung beans Gloria Cheng Winsy Cheung Lily Wong Christine Yen January 15‚ 1998 Abstract This experiment explores how different pH environments affect the growth of mung beans. The mung beans were grown in water with various pH levels‚ consisted of pH levels 5‚ 6‚ 7‚ 8‚ and 9. A replicated design was used consisting of 3 runs for each pH level. The following results are listed in order of pH levels allowing most growth to least growth of the mung beans: 7‚ 8‚ 6‚ 5‚ and 9. These
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Harmful Household Items Michael Braun Le Cordon Bleu Environmental Science ENV333 - 02B Susanne Marshall December 11‚ 2013 Harmful Household Items There are many items around your house that you use every day that could potentially be harmful if not handled‚ stored‚ and disposed of properly. I went through and picked out some items around my house that could be harmful: Scented Dish Soap – Dish soaps that have a fragrance usually contain a chemical called phthalates that can disrupt the
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Kayla Bruene Gen Bio II Lab 11am Bean Count Lab In the Schnabel method of estimating number of animals‚ the number of recaptures has been assumed to follow a Poisson distribution. This approximation is useful in testing differences in population levels when the Schnabel method is used for estimation‚ since the distribution of recaptures from one population‚ conditional on the total number of recaptures from both populations‚ is approximately binomial with parameters n and p‚ where
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4-Dogs 5-Mom’s cooking 6-Bikes 7-Shoes 8-Bible 9-Phone 10-Car Everyone has at least 1 priceless item. Some people have 2‚ 4‚ 5‚ or even 10. There is no limit to how many items there are in your life that you consider priceless. I have many priceless items in my life shown in all the pictures i have. They are all items used in my life and without them would make my life different! One priceless item i have is my house because i live in it and have so many memories that took place in it. Another
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