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Forecasting for Economics and Business

Gloria González-Rivera
€235.60
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A01=Gloria Gonzalez-Rivera
ADF Statistic
advanced economic forecasting techniques
Age Group_Uncategorized
Age Group_Uncategorized
applied econometrics
ARMA Model
ARMA processes
Asymmetric Loss Functions
Author_Gloria Gonzalez-Rivera
autocorrelation
Autocorrelation Functions
automatic-update
Category1=Non-Fiction
Category=KCJ
conditional
Conditional Expectation
Conditional Standard Deviation
COP=United States
Covariance Stationary Processes
Delivery_Delivery within 10-20 working days
density
Density Forecast
eq_bestseller
eq_business-finance-law
eq_isMigrated=2
eq_nobargain
eq_non-fiction
error
error correction models
financial time series
Forecast Errors
functions
Gdp Growth
Language_English
Linex Function
LSTAR Model
Ma Process
multistep
Multistep Forecast
Negative Forecast Errors
OLS Estimator
OLS Regression
PA=Available
partial
Partial Autocorrelation Function
Price_€100 and above
PS=Active
Quarterly House Price Index
regression diagnostics
San Diego
series
SETAR Model
softlaunch
SP500 Index
Symmetric Loss Functions
time
Unit Root
variance
VEC Model
vector autoregression

Product details

  • ISBN 9780131474932
  • Weight: 1116g
  • Dimensions: 191 x 235mm
  • Publication Date: 08 Jan 2012
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Description

For junior/senior undergraduates in a variety of fields such as economics, business administration, applied mathematics and statistics, and for graduate students in quantitative masters programs such as MBA and MA/MS in economics.

A student-friendly approach to understanding forecasting.

Knowledge of forecasting methods is among the most demanded qualifications for professional economists, and business people working in either the private or public sectors of the economy. The general aim of this textbook is to carefully develop sophisticated professionals, who are able to critically analyze time series data and forecasting reports because they have experienced the merits and shortcomings of forecasting practice.
About Gloria Gonzalez-Rivera

Gloria Gonzalez-Rivera, University of California Riverside, USA

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