A general statistical framework for the analysis of tendency survey data of the IFO type

Carsten Stig Poulsen, Lasse Bork, Jesper Lindgaard Christensen, Jacob Rubæk Holm, Morten Berg Jensen, Jørgen Stamhus

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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First, the latent class (LC) model and its application to the Tendency
Survey are reviewed. Then we go on to the main focus in the paper: the application of the
latent Markov (LM) model to capture the dynamics in the Tendency Survey. The classes of the
static LC model are now seen as states in a dynamic model that allow individual (firms) to change
their state from one time to the next according to a Markov process. Stationary as well as nonstationary
models are admissible. Finally, in the concluding section we point to a more general class
of Markov models - the Mixed Latent Markov (MLM) with time-constant and time-varying covariates
- that offers a framework for Markov modelling that can be utilised in the further analyses of
the Tendency Survey.
Original languageEnglish
Title of host publicationSymposium i anvendt statistik
EditorsPeter Linde
PublisherDanmarks Statistik
Publication date2015
ISBN (Print)978-87-501-2171-8
Publication statusPublished - 2015
EventSymposium i Anvendt Statistik - Danmarks Tekniske Universitet, Denmark
Duration: 26 Jan 201528 Jan 2015
Conference number: 37


ConferenceSymposium i Anvendt Statistik
LocationDanmarks Tekniske Universitet


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