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131018s2014 nju ob 001 0 eng |
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100 |
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|a Silvia, John.
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245 |
1 |
0 |
|a Economic and business forecasting :
|b analyzing and interpreting econometric results /
|c John Silvia, Azhar Iqbal, Kaylyn Swankoski, Sarah Watt, Sam Bullard.
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264 |
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1 |
|a Hoboken, New Jersey :
|b John Wiley & Sons, Inc.,
|c [2014]
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264 |
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|c ©2014
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300 |
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|a 1 online resource
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|a Wiley & SAS business series
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588 |
0 |
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|a Print version record and CIP data provided by publisher.
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504 |
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|a Includes bibliographical references and index.
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520 |
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|a Discover the secrets to applying simple econometric techniques to improve forecasting. Equipping analysts, practitioners, and graduate students with a statistical framework to make effective decisions based on the application of simple economic and statistical methods, Economic and Business Forecasting offers a comprehensive and practical approach to quantifying and accurate forecasting of key variables. Using simple econometric techniques, author John E. Silvia focuses on a select set of major economic and financial variables, revealing how to optimally use statistical software as a template ...
|
505 |
0 |
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|g Machine generated contents note:
|t Effective Decision Making: Characterize the Data --
|t Growth: How Is the Economy Doing Overall? --
|t Personal Consumption --
|t Gross Private Domestic Investment --
|t Government Purchases --
|t Net Exports of Goods and Services --
|t Real Final Sales and Gross Domestic Purchases --
|t Labor Market: Always a Core Issue --
|t Establishment Survey --
|t Data Revision: A Special Consideration --
|t Household Survey --
|t Marrying the Labor Market Indicators Together --
|t Jobless Claims --
|t Inflation --
|t Consumer Price Index: A Society's Inflation Benchmark --
|t Producer Price Index --
|t Personal Consumption Expenditure Deflator: The Inflation Benchmark for Monetary Policy --
|t Interest Rates: Price of Credit --
|t Dollar and Exchange Rates: The United States in a Global Economy --
|t Corporate Profits --
|t Summary --
|t Profitability Ratios --
|t Summary --
|t Why Characterize a Time Series? --
|t How to Characterize a Time Series --
|t Application: Judging Economic Volatility --
|t Summary --
|t Important Test Statistics in Identifying Statistically Significant Relationships --
|t Simple Econometric Techniques to Determine a Statistical Relationship --
|t Advanced Econometric Techniques to Determine a Statistical Relationship --
|t Summary --
|t Additional Reading --
|t Tips for SAS Users --
|t DATA Step --
|t PROC Step --
|t Summary --
|t Testing a Unit Root in a Time Series: A Case Study of the U.S. CPI --
|t Identifying a Structural Change in a Time Series --
|t Application of the HP Filter --
|t Application: Benchmarking the Housing Bust, Bear Stearns, and Lehman Brothers --
|t Summary --
|t Useful Tips for an Applied Time Series Analysis --
|t Converting a Dataset from One Frequency to Another --
|t Application: Did the Great Recession Alter Credit Benchmarks? --
|t Summary --
|t Commandment 1: Know What You Are Forecasting --
|t Commandment 2: Understand the Purpose of Forecasting --
|t Commandment 3: Acknowledge the Cost of the Forecast Error --
|t Commandment 4: Rationalize the Forecast Horizon --
|t Commandment 5: Understand the Choice of Variables --
|t Commandment 6: Rationalize the Forecasting Model Used --
|t Commandment 7: Know How to Present the Results --
|t Commandment 8: Know How to Decipher the Forecast Results --
|t Commandment 9: Understand the Importance of Recursive Methods --
|t Commandment 10: Understand Forecasting Models Evolve over Time --
|t Summary --
|t Unconditional (Atheoretical) Approach --
|t Conditional (Theoretical) Approach --
|t Recession Forecast Using a Probit Model --
|t Summary --
|t Importance of the Real-Time Short-Term Forecasting --
|t Individual Forecast versus Consensus Forecast: Is There an Advantage? --
|t Econometrics of Real-Time Short-Term Forecasting: The BVAR Approach --
|t Forecasting in Real Time: Issues Related to the Data and the Model Selection --
|t Case Study: WFC versus Bloomberg --
|t Summary --
|t Appendix 11A: List of Variables --
|t Unconditional Long-Term Forecasting: The BVAR Model --
|t BVAR Model with Housing Starts --
|t Model without Oil Price Shock --
|t Model with Oil Price Shock --
|t Summary --
|t Risks to Short-Term Forecasting: There Is No Magic Bullet --
|t Risks of Long-Term Forecasting: Black Swan versus a Group of Black Swans --
|t Model-Based Forecasting and the Great Recession/Financial Crisis: Worst-Case Scenario versus Panic --
|t Summary --
|t Benchmarking Economic Growth --
|t Industrial Production: Another Case of Stationary Behavior --
|t Employment: Jobs in the Twenty-First Century --
|t Inflation --
|t Interest Rates --
|t Imbalances between Bond Yields and Equity Earnings --
|t Note of Caution on Patterns of Interest Rates --
|t Business Credit: Patterns Reminiscent of Cyclical Recovery --
|t Profits --
|t Financial Market Volatility: Assessing Risk --
|t Dollar --
|t Economic Policy: Impact of Fiscal Policy and the Evolution of the U.S. Economy --
|t Long-Term Deficit Bias and Its Economic Implications --
|t Summary.
|
590 |
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|b O'Reilly Online Learning: Academic/Public Library Edition
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|a Economic forecasting.
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650 |
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|a Business forecasting.
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|a Decision making.
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|a Econometrics.
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650 |
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2 |
|a Decision Making
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650 |
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6 |
|a Prévision économique.
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650 |
|
6 |
|a Prévision commerciale.
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650 |
|
6 |
|a Prise de décision.
|
650 |
|
6 |
|a Économétrie.
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|a decision making.
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776 |
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|i Print version:
|a Silvia, John.
|t Economic and business forecasting.
|d Hoboken, New Jersey : John Wiley & Sons, Inc., [2014]
|z 9781118497098
|w (DLC) 2013039764
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