Google Econometrics: An Application to the Czech Republic
| Author: | Mgr. Lukáš Platil |
|---|---|
| Year: | 2014 - summer |
| Leaders: | prof. Roman Horváth Ph.D. |
| Consultants: | |
| Work type: | Finance, Financial Markets and Banking Masters |
| Language: | English |
| Pages: | 133 |
| Awards and prizes: | M.A. with distinction from the Dean of the Faculty of Social Sciences for an excellent state-final examination performance. |
| Link: | https://is.cuni.cz/webapps/zzp/detail/133876/ |
| Abstract: | This thesis examines the applicability of Google Econometrics – the use of search volume data of particular queries as explanatory variables in time series modeling – in the case of the Czech Republic. We analyze the contribution of Google data by comparing out - of - sample nowcasting performance and in - sample fit with control variables in three related areas: using an autoregressive model for unemployment, vector autoregression and logit models for GDP and household consumption, and Granger causality test for consumer confidence. |
