Predicting Initial Claims for Unemployment Benefits

By Hyunyoung Choi. 2009

228 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4d91786f9f88e0ec8dd5a25ca7c08f4d8e693b53

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Citations in the corpus

Internet search behavior as an economic forecasting tool: The case of inflation expectations (2011, unknown): “I examine three types of measures – numerical forecasts of the inflation rate (survey-based and market-implied), diffusion indexes of the expected direction of the price level (survey-based), and a metadata index of search queries.(7) The predictive power of each type of measure is assessed with a t”
Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic (2020, unknown): “Google search data have been employed in the economics literature in nowcasting exercises for retail sales (Choi and Varian, 2009a) and unemployment claims (Choi and Varian, 2009b), as well as for estimating levels of influenza activity (Ginsberg et al., 2009).”
Poverty and economic dislocation reduce compliance with COVID-19 shelter-in-place protocols (2020, unknown): “Second, we track real time demand for information about how to file for unemployment via geocoded Google search activity ( Choi and Varian, 2009 ). We compile DMA-day specific search intensity and use the benchmarking procedure introduced by Goldsmith-Pinkham and Sojourner (2020) .”
Can Google Data Help Predict French Youth Unemployment (2012, methodology): “The seminal work of Choi and Varian (2009a) gives examples of nowcasting for car and home sales in the US and for travel to Hong Kong.”
Measuring objective and subjective well-being: dimensions and data sources (2020, background): “Choi and Varian [218,219] consider Google Trends as a source of data on real-time economic activity, and they show that by using its query indices accurate predictions can, for example, be made for retail, automotive, etc., and could be helpful for short-term economic prediction or nowcasting.”
Computer Mediated Transactions (2010, methodology): “Choi and Varian (2009b) and Choi and Varian (2009a) use real-time publicly available T. ELY LECTuRE search engine data to predict the current level of economic activity for automobile, real estate, retail trade, travel, and unemployment indicators .”
Can Internet search queries help to predict stock market volatility (2016, unknown): “Internet search data can describe the interest of individuals (Choi and Varian 2009a, Da et al. 2011).”
Forecasting Private Consumption: Survey-Based Indicators vs. Google Trends (2009, methodology): “5 This approach is based on Choi and Varian (2009a) who assign search categories to components of US retail sales.”