Forecasting Mortgages: Internet Search Data as a Proxy for Mortgage Credit Demand
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References listed on IDEAS
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- Jaroslav Bukovina, 2017. "The attention of a society towards corporate brand name and its determinants within the information-rich economy," MENDELU Working Papers in Business and Economics 2017-71, Mendel University in Brno, Faculty of Business and Economics.
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- Jaroslav Bukovina & Matus Marticek, 2016. "Sentiment and Bitcoin Volatility," MENDELU Working Papers in Business and Economics 2016-58, Mendel University in Brno, Faculty of Business and Economics.
More about this item
KeywordsCredit demand; credit standards and conditions; credit supply; forecast evaluation; forecasting; Google econometrics; Internet search data; mortgage; smoothing;
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
- E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
- E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-BAN-2015-02-28 (Banking)
- NEP-FOR-2015-02-28 (Forecasting)
- NEP-ICT-2015-02-28 (Information & Communication Technologies)
- NEP-MAC-2015-02-28 (Macroeconomics)
- NEP-TRA-2015-02-28 (Transition Economics)
- NEP-URE-2015-02-28 (Urban & Real Estate Economics)
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