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Can Google Trends Data Help Us Modelling Inflation? An Empirical Evidence from the Czech Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F16%3A86098094" target="_blank" >RIV/61989100:27510/16:86098094 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Can Google Trends Data Help Us Modelling Inflation? An Empirical Evidence from the Czech Republic

  • Original language description

    A lot of various determinants can be used to modelling inflation. The aim of this paper is to find which factors influence the inflation rate in the Czech Republic and to assess whereas Google Trend (GT) data can improve the estimates of inflation rate. This paper presents a several models of inflation rate in the Czech Republic based on some traditional theories such as Purchasing Power Parity (PPP) theory or Balassa-Samuelson (BS) effect. Also, some of these models are adapted to the conditions while some of the traditional presumptions of these theories are not valid. Inflation rate, therefore, can be explained using data for productivity, Exchange rate, interest rates, wages or prices of some commodities. Moreover, each model form includes data from GT. Since internet plays an important role in our lives nowadays, it is possible, that searching queries can reflect behaviour of economic subjects. Quarterly data (2004 - 2014) are used in regression analysis. It was found that GT data improve most of model specifications.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of 14th International Scientific Conference Economic Policy in the European Union Member Countries: September 14-16, 2016, Petrovice u Karviné, Czech Republic. Part 1

  • ISBN

    978-80-7510-210-2

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    10

  • Pages from-to

    1-10

  • Publisher name

    Slezská univerzita v Opavě, Obchodně podnikatelská fakulta v Karviné

  • Place of publication

    Opava

  • Event location

    Petrovice u Karviné

  • Event date

    Sep 14, 2016

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000403638200001