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Internet search behavior as an economic forecasting tool: The case of inflation expectations
3 references·16 citing·54 second hop
Internet search behavior as an economic forecasting tool: The case of inflation expectations (2011)Internet search behavior as an economic f…Survey Measures of Expected Inflation: Revisiting the Issues of Predictive Content and Rationality (2002)Survey Measures of Expected I…Sticky Information Versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve (2001)Sticky Information Versus Sti…Forecasting Economic Time Series (2000)Forecasting Economic Time Ser…Well googled is half done: Multimodal forecasting of new fashion product sales with image‐based google trends (2024)Well googled is half done: Mu…Measuring objective and subjective well-being: dimensions and data sources (2020)Measuring objective and subje…Googling Fashion: Forecasting Fashion Consumer Behaviour Using Google Trends (2019)Googling Fashion: Forecasting…Can Google search data help predict macroeconomic series? (2019)Can Google search data help p…The Collaborative Economy Based Analysis of Demand: Study of Airbnb Case in Spain and Portugal (2018)The Collaborative Economy Bas…Google data in bridge equation models for German GDP (2018)Google data in bridge equatio…Exploring the predictive ability of LIKES of posts on the Facebook pages of four major city DMOs in Austria (2018)Exploring the predictive abil…The Evolution of Data Quality: Understanding the Transdisciplinary Origins of Data Quality Concepts and Approaches (2017)The Evolution of Data Quality…Information demand and stock market liquidity: International evidence (2017)Information demand and stock …Google Trends and the forecasting performance of exchange rate models (2017)Google Trends and the forecas…Google Trends and reality: Do the proportions match? (2017)Google Trends and reality: Do…Forecasting tourism demand with Google trends: Accuracy comparison of countries versus cities (2017)Forecasting tourism demand wi…Combining official and Google Trends data to forecast the Italian youth unemployment rate (2017)Combining official and Google…How does Google search affect trader positions and crude oil prices? (2015)How does Google search affect…Forecasting unemployment with internet search data: Does it help to improve predictions when job destruction is skyrocketing? (2015)Forecasting unemployment with…A MIDAS modelling framework for Chinese inflation index forecast incorporating Google search data (2015)A MIDAS modelling framework f…Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Time Series Analysis: Forecasting and Control. (1978)Comparing Predictive Accuracy (1994)Can investor attention predict oil prices? (2017)Google search keywords that best predict energy price volatility (2017)Winners and Losers from COVID-19: Global Evidence from Google Search (2020)Time Series Analysis: Forecasting and Control (1977)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Using online vacancies and web surveys to analyse the labour market: a methodological inquiry (2015)Computational socioeconomics (2019)Techno-optimism and policy-pessimism in the public sector big data debate (2019)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Survey Measures of Expected U.S. Inflation (1999)Monetary Policy Rules Based on Real-Time Data (2001)What Can Survey Forecasts Tell Us About Informational Rigidities? (2008)Time-varying combinations of predictive densities using nonlinear filtering (2013)Tips from TIPS: The Informational Content of Treasury Inflation-Protected Security Prices (2014)Inside the Black Box: The Credit Channel of Monetary Policy Transmission (1995)Staggered Prices in a Utility-Maximizing Framework (1996)The Science of Monetary Policy: A New Keynesian Perspective (1999)Disagreement about Inflation Expectations (2003)Optimal fiscal and monetary policy under sticky prices (2003)The Econometrics of DSGE Models (2009)Seasonal integration and cointegration (1990)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Predicting the Present with Google Trends (2012)Forecasting tourist arrivals at attractions: Search engine empowered methodologies (2018)Spurious patterns in Google Trends data - An analysis of the effects on tourism demand forecasting in Germany (2019)A systematic literature review on the use of big data for sustainable tourism (2021)Automatic Lag Selection in Covariance Matrix Estimation (1994)Comparing Predictive Accuracy (1995)Demand forecasting with user-generated online information (2018)Pink work: Same-sex marriage, employment and discrimination (2019)How the refugee crisis and radical right parties shape party competition on immigration (2021)Time Series Analysis Forecasting and Control. (1971)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models (1991)A novel method based on numerical fitting for oil price trend forecasting (2018)Economic sentiment during the COVID pandemic: Evidence from search behaviour in the EU (2020)Forecasting Sales by Exponentially Weighted Moving Averages (1960)Big Data: New Tricks for Econometrics (2014)Ethical Consumers’ Awareness of Vegan Materials: Focused on Fake Fur and Fake Leather (2021)Demand forecasting for fashion products: A systematic review (2023)Leveraging Big Data Analytics for Understanding Consumer Behavior in Digital Marketing: A Systematic Review (2024)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. (2000)A Survey on Deep Learning for Human Mobility (2021)Assessing veracity of big data: An in-depth evaluation process from the comparison of Mobile phone traces and groundtruth data in traffic monitoring (2024)Social Protection in Developing Countries: Legal, Economic, and Social Trends (2025)An Almost Ideal Demand System (1980)Empirical exchange rate models of the seventies (1983)Generalized autoregressive conditional heteroskedasticity (1986)
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References

  • 2000Forecasting Economic Time Series1,768 cited
  • 2001Sticky Information Versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve688 cited
  • 2002Survey Measures of Expected Inflation: Revisiting the Issues of Predictive Content and Rationality100 cited

Cited by

  • 2020Measuring objective and subjective well-being: dimensions and data sources366 cited
  • 2015How does Google search affect trader positions and crude oil prices?133 cited
  • 2017Forecasting tourism demand with Google trends: Accuracy comparison of countries versus cities127 cited
  • 2019Googling Fashion: Forecasting Fashion Consumer Behaviour Using Google Trends114 cited
  • 2017Combining official and Google Trends data to forecast the Italian youth unemployment rate100 cited
  • 2015Forecasting unemployment with internet search data: Does it help to improve predictions when job destruction is skyrocketing?93 cited
  • 2017Google Trends and reality: Do the proportions match?91 cited
  • 2017Google Trends and the forecasting performance of exchange rate models71 cited
  • 2018Google data in bridge equation models for German GDP60 cited
  • 2017The Evolution of Data Quality: Understanding the Transdisciplinary Origins of Data Quality Concepts and Approaches57 cited
  • 2015A MIDAS modelling framework for Chinese inflation index forecast incorporating Google search data

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56 cited
  • 2018The Collaborative Economy Based Analysis of Demand: Study of Airbnb Case in Spain and Portugal55 cited
  • 2018Exploring the predictive ability of LIKES of posts on the Facebook pages of four major city DMOs in Austria48 cited
  • 2017Information demand and stock market liquidity: International evidence42 cited
  • 2019Can Google search data help predict macroeconomic series?42 cited
  • 2024Well googled is half done: Multimodal forecasting of new fashion product sales with image‐based google trends36 cited