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Economic and business forecasting : analyzing and interpreting econometric results /

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 Forecast...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Silvia, John
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, New Jersey : John Wiley & Sons, Inc., [2014]
Colección:Wiley & SAS business series
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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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. 
264 1 |a Hoboken, New Jersey :  |b John Wiley & Sons, Inc.,  |c [2014] 
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504 |a Includes bibliographical references and index. 
520 |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 0 |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. 
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650 7 |a Economic forecasting  |2 fast 
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