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Advances in economic forecasting [[electronic resource] /] / Matthew L. Higgins, editor
Advances in economic forecasting [[electronic resource] /] / Matthew L. Higgins, editor
Pubbl/distr/stampa Kalamazoo, Mich., : W.E. Upjohn Institute for Employment Research, 2011
Descrizione fisica 1 online resource (192 p.)
Disciplina 330.01/12
Altri autori (Persone) HigginsMatthew L
Soggetto topico Economic forecasting
Soggetto genere / forma Electronic books.
ISBN 0-88099-393-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Advances in economic forecasting / Matthew L. Higgins -- Real-time forecasting / Dean Croushore -- Limits to economic forecasting / Kajal Lahiri -- Forecasting regional and industry-level variables: challenges and strategies / David E. Rapach -- Forecasting asset prices using nonlinear models / Michael D. Bradley and Dennis W. Jansen -- Perspectives on evaluating macroeconomic forecasts / H. O. Stekler -- Combining forecasts with many predictors / Tae-Hwy Lee.
Record Nr. UNINA-9910457212803321
Kalamazoo, Mich., : W.E. Upjohn Institute for Employment Research, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Demand-driven forecasting [[electronic resource]] : a structured approach to forecasting / / Charles W. Chase, Jr
Demand-driven forecasting [[electronic resource]] : a structured approach to forecasting / / Charles W. Chase, Jr
Autore Chase Charles
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, N.J., : Wiley, c2013
Descrizione fisica 1 online resource (386 p.)
Disciplina 330.01/12
Collana Wiley & SAS Business Series
Soggetto topico Economic forecasting
Business forecasting
Forecasting
ISBN 1-118-73557-9
1-118-69186-5
1-118-73564-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Demand-Driven Forecasting; Contents; Foreword; Preface; Acknowledgments; About the Author; Chapter 1 Demystifying Forecasting: Myths versus Reality; DATA COLLECTION, STORAGE, AND PROCESSING REALITY; ART-OF-FORECASTING MYTH; END-CAP DISPLAY DILEMMA; REALITY OF JUDGMENTAL OVERRIDES; OVEN CLEANER CONNECTION; MORE IS NOT NECESSARILY BETTER; REALITY OF UNCONSTRAINED FORECASTS, CONSTRAINED FORECASTS, AND PLANS; NORTHEAST REGIONAL SALES COMPOSITE FORECAST; HOLD-AND-ROLL MYTH; THE PLAN THAT WAS NOT GOOD ENOUGH; PACKAGE TO ORDER VERSUS MAKE TO ORDER; "DO YOU WANT FRIES WITH THAT?"; SUMMARY; NOTES
Chapter 2 What Is Demand-Driven Forecasting?TRANSITIONING FROM TRADITIONAL DEMAND FORECASTING; WHAT'S WRONG WITH THE DEMAND-GENERATION PICTURE?; FUNDAMENTAL FLAW WITH TRADITIONAL DEMAND GENERATION; RELYING SOLELY ON A SUPPLY-DRIVEN STRATEGY IS NOT THE SOLUTION; WHAT IS DEMAND-DRIVEN FORECASTING?; WHAT IS DEMAND SENSING AND SHAPING?; CHANGING THE DEMAND MANAGEMENT PROCESS IS ESSENTIAL; COMMUNICATION IS KEY; MEASURING DEMAND MANAGEMENT SUCCESS; BENEFITS OF A DEMAND-DRIVEN FORECASTING PROCESS; KEY STEPS TO IMPROVE THE DEMAND MANAGEMENT PROCESS
WHY HAVEN'T COMPANIES EMBRACED THE CONCEPT OF DEMAND-DRIVEN?Key Points; SUMMARY; NOTES; Chapter 3 Overview of Forecasting Methods; UNDERLYING METHODOLOGY; DIFFERENT CATEGORIES OF METHODS; HOW PREDICTABLE IS THE FUTURE?; SOME CAUSES OF FORECAST ERROR; SEGMENTING YOUR PRODUCTS TO CHOOSE THE APPROPRIATE FORECASTING METHOD; New Products Quadrant; Niche Brands Quadrant; Growth Brands Quadrant; Harvest Brands Quadrant; SUMMARY; NOTE; Chapter 4 Measuring Forecast Performance; "WE OVERACHIEVED OUR FORECAST, SO LET'S PARTY!"; PURPOSES FOR MEASURING FORECASTING PERFORMANCE
STANDARD STATISTICAL ERROR TERMSSPECIFIC MEASURES OF FORECAST ERROR; OUT-OF-SAMPLE MEASUREMENT; FORECAST VALUE ADDED; SUMMARY; NOTES; Chapter 5 Quantitative Forecasting Methods Using Time Series Data; UNDERSTANDING THE MODEL-FITTING PROCESS; INTRODUCTION TO QUANTITATIVE TIME SERIES METHODS; QUANTITATIVE TIME SERIES METHODS; MOVING AVERAGING; EXPONENTIAL SMOOTHING; SINGLE EXPONENTIAL SMOOTHING; HOLT'S TWO-PARAMETER METHOD; HOLT'S-WINTERS' METHOD; WINTERS' ADDITIVE SEASONALITY; Multiplicative versus Additive Seasonality; SUMMARY; NOTES; Chapter 6 Regression Analysis; REGRESSION METHODS
SIMPLE REGRESSIONCORRELATION COEFFICIENT; COEFFICIENT OF DETERMINATION; MULTIPLE REGRESSION; DATA VISUALIZATION USING SCATTER PLOTS AND LINE GRAPHS; CORRELATION MATRIX; MULTICOLLINEARITY; ANALYSIS OF VARIANCE; F-TEST; ADJUSTED R2; PARAMETER COEFFICIENTS; t-TEST; P-VALUES; VARIANCE INFLATION FACTOR; DURBIN-WATSON STATISTIC; INTERVENTION VARIABLES (OR DUMMY VARIABLES); REGRESSION MODEL RESULTS; KEY ACTIVITIES IN BUILDING A MULTIPLE REGRESSION MODEL; CAUTIONS ABOUT REGRESSION MODELS; SUMMARY; NOTES; Chapter 7 ARIMA Models; PHASE 1: IDENTIFYING THE TENTATIVE MODEL; Stationarity
Analysis of the Autocorrelation Plots
Record Nr. UNINA-9910139044003321
Chase Charles  
Hoboken, N.J., : Wiley, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Demand-driven forecasting : a structured approach to forecasting / / Charles W. Chase, Jr
Demand-driven forecasting : a structured approach to forecasting / / Charles W. Chase, Jr
Autore Chase Charles
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, N.J., : Wiley, c2013
Descrizione fisica 1 online resource (386 p.)
Disciplina 330.01/12
Collana Wiley & SAS Business Series
Soggetto topico Economic forecasting
Business forecasting
Forecasting
ISBN 1-118-73557-9
1-118-69186-5
1-118-73564-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Demand-Driven Forecasting; Contents; Foreword; Preface; Acknowledgments; About the Author; Chapter 1 Demystifying Forecasting: Myths versus Reality; DATA COLLECTION, STORAGE, AND PROCESSING REALITY; ART-OF-FORECASTING MYTH; END-CAP DISPLAY DILEMMA; REALITY OF JUDGMENTAL OVERRIDES; OVEN CLEANER CONNECTION; MORE IS NOT NECESSARILY BETTER; REALITY OF UNCONSTRAINED FORECASTS, CONSTRAINED FORECASTS, AND PLANS; NORTHEAST REGIONAL SALES COMPOSITE FORECAST; HOLD-AND-ROLL MYTH; THE PLAN THAT WAS NOT GOOD ENOUGH; PACKAGE TO ORDER VERSUS MAKE TO ORDER; "DO YOU WANT FRIES WITH THAT?"; SUMMARY; NOTES
Chapter 2 What Is Demand-Driven Forecasting?TRANSITIONING FROM TRADITIONAL DEMAND FORECASTING; WHAT'S WRONG WITH THE DEMAND-GENERATION PICTURE?; FUNDAMENTAL FLAW WITH TRADITIONAL DEMAND GENERATION; RELYING SOLELY ON A SUPPLY-DRIVEN STRATEGY IS NOT THE SOLUTION; WHAT IS DEMAND-DRIVEN FORECASTING?; WHAT IS DEMAND SENSING AND SHAPING?; CHANGING THE DEMAND MANAGEMENT PROCESS IS ESSENTIAL; COMMUNICATION IS KEY; MEASURING DEMAND MANAGEMENT SUCCESS; BENEFITS OF A DEMAND-DRIVEN FORECASTING PROCESS; KEY STEPS TO IMPROVE THE DEMAND MANAGEMENT PROCESS
WHY HAVEN'T COMPANIES EMBRACED THE CONCEPT OF DEMAND-DRIVEN?Key Points; SUMMARY; NOTES; Chapter 3 Overview of Forecasting Methods; UNDERLYING METHODOLOGY; DIFFERENT CATEGORIES OF METHODS; HOW PREDICTABLE IS THE FUTURE?; SOME CAUSES OF FORECAST ERROR; SEGMENTING YOUR PRODUCTS TO CHOOSE THE APPROPRIATE FORECASTING METHOD; New Products Quadrant; Niche Brands Quadrant; Growth Brands Quadrant; Harvest Brands Quadrant; SUMMARY; NOTE; Chapter 4 Measuring Forecast Performance; "WE OVERACHIEVED OUR FORECAST, SO LET'S PARTY!"; PURPOSES FOR MEASURING FORECASTING PERFORMANCE
STANDARD STATISTICAL ERROR TERMSSPECIFIC MEASURES OF FORECAST ERROR; OUT-OF-SAMPLE MEASUREMENT; FORECAST VALUE ADDED; SUMMARY; NOTES; Chapter 5 Quantitative Forecasting Methods Using Time Series Data; UNDERSTANDING THE MODEL-FITTING PROCESS; INTRODUCTION TO QUANTITATIVE TIME SERIES METHODS; QUANTITATIVE TIME SERIES METHODS; MOVING AVERAGING; EXPONENTIAL SMOOTHING; SINGLE EXPONENTIAL SMOOTHING; HOLT'S TWO-PARAMETER METHOD; HOLT'S-WINTERS' METHOD; WINTERS' ADDITIVE SEASONALITY; Multiplicative versus Additive Seasonality; SUMMARY; NOTES; Chapter 6 Regression Analysis; REGRESSION METHODS
SIMPLE REGRESSIONCORRELATION COEFFICIENT; COEFFICIENT OF DETERMINATION; MULTIPLE REGRESSION; DATA VISUALIZATION USING SCATTER PLOTS AND LINE GRAPHS; CORRELATION MATRIX; MULTICOLLINEARITY; ANALYSIS OF VARIANCE; F-TEST; ADJUSTED R2; PARAMETER COEFFICIENTS; t-TEST; P-VALUES; VARIANCE INFLATION FACTOR; DURBIN-WATSON STATISTIC; INTERVENTION VARIABLES (OR DUMMY VARIABLES); REGRESSION MODEL RESULTS; KEY ACTIVITIES IN BUILDING A MULTIPLE REGRESSION MODEL; CAUTIONS ABOUT REGRESSION MODELS; SUMMARY; NOTES; Chapter 7 ARIMA Models; PHASE 1: IDENTIFYING THE TENTATIVE MODEL; Stationarity
Analysis of the Autocorrelation Plots
Record Nr. UNINA-9910815808903321
Chase Charles  
Hoboken, N.J., : Wiley, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Global model simulation [[electronic resource] ] : a frontier of economic science / / Akira Onishi
Global model simulation [[electronic resource] ] : a frontier of economic science / / Akira Onishi
Autore Ōnishi Akira <1929->
Pubbl/distr/stampa New York, : Nova Science Publishers, c2010
Descrizione fisica 1 online resource (199 p.)
Disciplina 330.01/12
Collana Economic issues, problems and perspectives series
Soggetto topico Economic forecasting - Mathematical models
Sustainable development - Mathematical models
Globalization
Soggetto genere / forma Electronic books.
ISBN 1-61324-955-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910461478603321
Ōnishi Akira <1929->  
New York, : Nova Science Publishers, c2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Global model simulation [[electronic resource] ] : a frontier of economic science / / Akira Onishi
Global model simulation [[electronic resource] ] : a frontier of economic science / / Akira Onishi
Autore Ōnishi Akira <1929->
Pubbl/distr/stampa New York, : Nova Science Publishers, c2010
Descrizione fisica 1 online resource (199 p.)
Disciplina 330.01/12
Collana Economic issues, problems and perspectives series
Soggetto topico Economic forecasting - Mathematical models
Sustainable development - Mathematical models
Globalization
ISBN 1-61324-955-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910790458203321
Ōnishi Akira <1929->  
New York, : Nova Science Publishers, c2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Global model simulation [[electronic resource] ] : a frontier of economic science / / Akira Onishi
Global model simulation [[electronic resource] ] : a frontier of economic science / / Akira Onishi
Autore Ōnishi Akira <1929->
Pubbl/distr/stampa New York, : Nova Science Publishers, c2010
Descrizione fisica 1 online resource (199 p.)
Disciplina 330.01/12
Collana Economic issues, problems and perspectives series
Soggetto topico Economic forecasting - Mathematical models
Sustainable development - Mathematical models
Globalization
ISBN 1-61324-955-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910824963003321
Ōnishi Akira <1929->  
New York, : Nova Science Publishers, c2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Inside the crystal ball : how to make and use forecasts / / Maury Harris
Inside the crystal ball : how to make and use forecasts / / Maury Harris
Autore Harris Maury
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , 2015
Descrizione fisica 1 online resource (397 p.)
Disciplina 330.01/12
Soggetto topico Economic forecasting
Business cycles
Forecasting
ISBN 1-119-20958-7
1-118-86517-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Contents; Acknowledgments; Introduction: What You Need to Know about Forecasting; Chapter 1 What Makes a Successful Forecaster?; Grading Forecasters: How Many Pass?; Why It's So Difficult to Be Prescient; Bad Forecasters: One-Hit Wonders, Perennial Outliers, and Copycats; What Is "Success" in Forecasting?; One-Hit Wonders; Who Is More Likely to Go Out on a Limb?; Consensus Copycats; Success Factors: Why Some Forecasters Excel; Does Experience Make Much of a Difference in Forecasting?; Chapter 2 The Art and Science of Making and Using Forecasts
Judgment Counts More Than Math Habits of Successful Forecasters: How to Cultivate Them; Judging and Scoring Forecasts by Statistics; Chapter 3 What Can We Learn from History?; It's Never Normal; What Does U.S. Economic History Teach about the Future?; Some Key Characteristics of Business Cycles; National versus State Business Cycles: Does a Rising Tide Lift All Boats?; U.S. Monetary Policy and the Great Depression; The Ghost of the Great Depression Has Returned to Haunt Business Forecasters; The Great Inflation Is Hard to Forget; The Great Moderation: Why It's Still Relevant
Why Was There Reduced Growth Volatility during the Great Moderation?Chapter 4 When Forecasters Get It Wrong; The Granddaddy of Forecasting Debacles: The Great Depression; The Great Recession: Grandchild of the Granddaddy; The Great Recession: Lessons Learned; The Productivity Miracle and the ""New Economy''; Productivity: Lessons Learned; Y2K: The Disaster That Wasn't; The Tech Crash Was Not Okay; Forecasters at Cyclical Turning Points: How to Evaluate Them; Forecasting Recessions; Realizing You Are in a Recession; Forecasting Recessions: Lessons Learned
Chapter 5 Can We Believe What Washington, D.C. Tells Us?Does the U.S. Government ""Cook the Books'' on Economic Data Reports?; To What Extent Are Government Forecasts Politically Motivated?; Can You Trust the Government's Analyses of Its Policies' Benefits?; The Beltway's Multiplier Mania; Could the American Recovery and Reinvestment Act of 2009 Create or Save over 5 Million Jobs?; Multiplier Effects: How Real Are They?; Why Are Some Assumed Output and Jobs Multipliers Larger Than Others?; Why Government Statistics Keep ""Changing Their Mind''; Living with Revisions
Chapter 6 Four Gurus of Economics: Whom to Follow?Four Competing Schools of Economic Thought; Minskyites: Should We Keep Listening to Them?; Who Was Hyman Minsky?; What Distinguished Minsky's Theories?; Why Were Minskyites Largely Ignored for So Long?; What Are Minskyites Telling Post-Great Recession Forecasters to Do Differently?; What Should Forecasters Learn from Minskyites?; Monetarists: Do They Deserve More Respect?; A Quick Review of How the Money Supply Influences the Economy; Criticisms of Monetarism; Supply-Siders: Still a Role to Play?; Some Studies on Supply-Side Economics
Keynesians: Are They Just Too Old-Fashioned?
Record Nr. UNINA-9910132307403321
Harris Maury  
Hoboken, New Jersey : , : Wiley, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Inside the crystal ball : how to make and use forecasts / / Maury Harris
Inside the crystal ball : how to make and use forecasts / / Maury Harris
Autore Harris Maury
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , 2015
Descrizione fisica 1 online resource (397 p.)
Disciplina 330.01/12
Soggetto topico Economic forecasting
Business cycles
Forecasting
ISBN 1-119-20958-7
1-118-86517-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Contents; Acknowledgments; Introduction: What You Need to Know about Forecasting; Chapter 1 What Makes a Successful Forecaster?; Grading Forecasters: How Many Pass?; Why It's So Difficult to Be Prescient; Bad Forecasters: One-Hit Wonders, Perennial Outliers, and Copycats; What Is "Success" in Forecasting?; One-Hit Wonders; Who Is More Likely to Go Out on a Limb?; Consensus Copycats; Success Factors: Why Some Forecasters Excel; Does Experience Make Much of a Difference in Forecasting?; Chapter 2 The Art and Science of Making and Using Forecasts
Judgment Counts More Than Math Habits of Successful Forecasters: How to Cultivate Them; Judging and Scoring Forecasts by Statistics; Chapter 3 What Can We Learn from History?; It's Never Normal; What Does U.S. Economic History Teach about the Future?; Some Key Characteristics of Business Cycles; National versus State Business Cycles: Does a Rising Tide Lift All Boats?; U.S. Monetary Policy and the Great Depression; The Ghost of the Great Depression Has Returned to Haunt Business Forecasters; The Great Inflation Is Hard to Forget; The Great Moderation: Why It's Still Relevant
Why Was There Reduced Growth Volatility during the Great Moderation?Chapter 4 When Forecasters Get It Wrong; The Granddaddy of Forecasting Debacles: The Great Depression; The Great Recession: Grandchild of the Granddaddy; The Great Recession: Lessons Learned; The Productivity Miracle and the ""New Economy''; Productivity: Lessons Learned; Y2K: The Disaster That Wasn't; The Tech Crash Was Not Okay; Forecasters at Cyclical Turning Points: How to Evaluate Them; Forecasting Recessions; Realizing You Are in a Recession; Forecasting Recessions: Lessons Learned
Chapter 5 Can We Believe What Washington, D.C. Tells Us?Does the U.S. Government ""Cook the Books'' on Economic Data Reports?; To What Extent Are Government Forecasts Politically Motivated?; Can You Trust the Government's Analyses of Its Policies' Benefits?; The Beltway's Multiplier Mania; Could the American Recovery and Reinvestment Act of 2009 Create or Save over 5 Million Jobs?; Multiplier Effects: How Real Are They?; Why Are Some Assumed Output and Jobs Multipliers Larger Than Others?; Why Government Statistics Keep ""Changing Their Mind''; Living with Revisions
Chapter 6 Four Gurus of Economics: Whom to Follow?Four Competing Schools of Economic Thought; Minskyites: Should We Keep Listening to Them?; Who Was Hyman Minsky?; What Distinguished Minsky's Theories?; Why Were Minskyites Largely Ignored for So Long?; What Are Minskyites Telling Post-Great Recession Forecasters to Do Differently?; What Should Forecasters Learn from Minskyites?; Monetarists: Do They Deserve More Respect?; A Quick Review of How the Money Supply Influences the Economy; Criticisms of Monetarism; Supply-Siders: Still a Role to Play?; Some Studies on Supply-Side Economics
Keynesians: Are They Just Too Old-Fashioned?
Record Nr. UNINA-9910815689203321
Harris Maury  
Hoboken, New Jersey : , : Wiley, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui