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Data mining for unemployment rate prediction using search engine query data
15 references·2 citing·46 second hop
Data mining for unemployment rate prediction using search engine query data (2012)Data mining for unemployment rate predict…Predicting the Present with Google Trends (2012)Predicting the Present with G…Predicting the Present with Google Trends (2010)Predicting the Present with G…'Google It!' Forecasting the US Unemployment Rate with A Google Job Search Index (2010)'Google It!' Forecasting the …Query Indices and a 2008 Downturn: Israeli Data (2009)Query Indices and a 2008 Down…Predicting unemployment in short samples with internet job search query data (2009)Predicting unemployment in sh…Predicting Initial Claims for Unemployment Benefits (2009)Predicting Initial Claims for…Google Econometrics and Unemployment Forecasting (2009)Google Econometrics and Unemp…A quantitative stock prediction system based on financial news (2009)A quantitative stock predicti…Out-of-sample forecasting of unemployment rates with pooled STVECM forecasts (2008)Out-of-sample forecasting of …Application of the novel nonlinear grey Bernoulli model for forecasting unemployment rate (2006)Application of the novel nonl…Bad news and Dow Jones make the Spanish stocks go round (2004)Bad news and Dow Jones make t…Forecasting the US unemployment rate (2003)Forecasting the US unemployme…Combined forecasts from linear and nonlinear time series models (2002)Combined forecasts from linea…A Markov-switching vector equilibrium correction model of the UK labour market (2002)A Markov-switching vector equ…Out-of-sample tests of forecasting accuracy: an analysis and review (2000)Out-of-sample tests of foreca…Performance Evaluation of Machine Learning Predictive Analytical Model for Determining the Job Applicants Employment Status (2021)Performance Evaluation of Mac…Forecasting US Unemployment with Radial Basis Neural Networks, Kalman Filters and Support Vector Regressions (2014)Forecasting US Unemployment w…The Behavior of Stock-Market Prices (1965)A Random Walk Down Wall Street (1973)Application of support vector machines in financial time series forecasting (2001)Empirical analysis: stock market prediction via extreme learning machine (2014)Financial news-based stock movement prediction using causality analysis of influence in the Korean stock market (2018)A local and global event sentiment based efficient stock exchange forecasting using deep learning (2019)Applying the Grey prediction model to the global integrated circuit industry (2003)Application of grey model GM(1, 1) to vehicle fatality risk estimation (2004)Forecasting of foreign exchange rates of Taiwan’s major trading partners by novel nonlinear Grey Bernoulli model NGBM(1,1) (2006)Can China realize its carbon emission reduction goal in 2020: From the perspective of thermal power development (2014)Application of a novel nonlinear multivariate grey Bernoulli model to predict the tourist income of China (2018)Carbon emission prediction models: A review (2024)The Combination of Forecasts (1969)Trends and random walks in macroeconmic time series (1982)Forecasting, Structural Time Series Models and the Kalman Filter (1990)IMPROVING FORECAST ACCURACY BY COMBINING RECURSIVE AND ROLLING FORECASTS* (2009)Oil price forecasting using a hybrid model (2018)Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail (2020)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)The M3-Competition: results, conclusions and implications (2000)Exponential smoothing: The state of the art—Part II (2006)A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition (2012)Forecasting: theory and practice (2022)Comparing Predictive Accuracy (1994)Impulse response analysis in nonlinear multivariate models (1996)Postwar U.S. Business Cycles: An Empirical Investigation (1997)A nonlinear long memory model, with an application to US unemployment (2002)Forecasting economic variables with nonlinear models (2005)Comparing smooth transition and Markov switching autoregressive models of US unemployment (2008)Forecasting Asymmetric Unemployment Rates (1998)Can Google data help predict French youth unemployment? 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References

  • 2012Predicting the Present with Google Trends2,353 cited
  • 2000Out-of-sample tests of forecasting accuracy: an analysis and review1,014 cited
  • 2009Google Econometrics and Unemployment Forecasting439 cited
  • 2010Predicting the Present with Google Trends428 cited
  • 2009Predicting Initial Claims for Unemployment Benefits219 cited
  • 2002Combined forecasts from linear and nonlinear time series models206 cited
  • 2009A quantitative stock prediction system based on financial news202 cited
  • 2006Application of the novel nonlinear grey Bernoulli model for forecasting unemployment rate181 cited
  • 2010'Google It!' Forecasting the US Unemployment Rate with A Google Job Search Index144 cited
  • 2003Forecasting the US unemployment rate102 cited
  • 2009Query Indices and a 2008 Downturn: Israeli Data97 cited
  • 2002A Markov-switching vector equilibrium correction model of the UK labour market91 cited
  • 2009Predicting unemployment in short samples with internet job search query data69 cited
  • 2008Out-of-sample forecasting of unemployment rates with pooled STVECM forecasts42 cited
  • 2004Bad news and Dow Jones make the Spanish stocks go round31 cited

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Cited by

  • 2014Forecasting US Unemployment with Radial Basis Neural Networks, Kalman Filters and Support Vector Regressions36 cited
  • 2021Performance Evaluation of Machine Learning Predictive Analytical Model for Determining the Job Applicants Employment Status24 cited