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Nowcasting Prices Using Google Trends : An Application to Central America

The objective of this study is to assess the possibility of using Internet search keyword data for forecasting price series in Central America, focusing on Costa Rica, El Salvador, and Honduras. The Internet search data comes from Google Trends. Th...

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Bibliographic Details
Main Authors: Seabold, Skipper, Coppola, Andrea
Language:English
en_US
Published: World Bank, Washington, DC 2015
Subjects:
FORECASTS
UNEMPLOYMENT
LEADING INDICATORS
AUTOMOBILE
VARIABILITY
SEARCH QUERY
E-MAIL
DISTRIBUTED LAGS
LAGS
EXPONENTIAL SMOOTHING
SOFTWARE
ERRORS
RESULTS
SEARCH
INTEREST
VALUE
EXPECTATIONS
TAXONOMY
SEARCH TERM
RAW DATA
ABBREVIATIONS
MACROECONOMICS
ECONOMIC FORECASTING
CONSUMER GOODS
DATA MINING
INFORMATION
INDEX
SEARCHING
PRINCIPAL COMPONENTS ANALYSIS
CONSUMERS
AGRICULTURE
WELFARE
OPTIMIZATION
SAMPLES
VARIABLES
MEASUREMENT
CONTENT
PRICE
BENCHMARK
BENCHMARKS
ECONOMIC THEORY
SURVEYS
INDICES
SEARCH BEHAVIOR
PROBABILITIES
CASE
INTERNET
TRENDS
OPEN ACCESS
SEARCH TERMS
COMMUNICATIONS
QUERY
FACTOR ANALYSIS
GDP
DATA
GOODS
THEORY
ARMA
GROWTH RATE
STATISTICS
SAMPLING
PERFORMANCE
LEAST SQUARES METHOD
NOTATION
BASE YEAR
LINEAR MODELS
TIME SERIES
CRITERIA
CASES
FORECASTING
MATRIX
WEB
STATISTICAL METHODOLOGY
SEARCH ENGINE
ABBREVIATION
INDICATORS
SEARCHES
RESEARCH
ECONOMICS RESEARCH
ARIMA
MACHINE LEARNING
MISSING OBSERVATIONS
LINEAR REGRESSION
PRICES
USES
HTML
DEVELOPMENT POLICY
FUTURE RESEARCH
Online Access:http://documents.worldbank.org/curated/en/2015/08/24925642/nowcasting-prices-using-google-trends-application-central-america
http://hdl.handle.net/10986/22655

Internet

http://documents.worldbank.org/curated/en/2015/08/24925642/nowcasting-prices-using-google-trends-application-central-america
http://hdl.handle.net/10986/22655

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