Abstract
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.
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 language | English |
|---|---|
| Title of host publication | Symposium i anvendt statistik |
| Editors | Peter Linde |
| Publisher | Danmarks Statistik |
| Publication date | 2015 |
| Edition | 2015 |
| Pages | 99-113 |
| ISBN (Print) | 978-87-501-2171-8 |
| Publication status | Published - 2015 |
| Event | Symposium i Anvendt Statistik - Danmarks Tekniske Universitet, Denmark Duration: 26 Jan 2015 → 28 Jan 2015 Conference number: 37 |
Conference
| Conference | Symposium i Anvendt Statistik |
|---|---|
| Number | 37 |
| Location | Danmarks Tekniske Universitet |
| Country/Territory | Denmark |
| Period | 26/01/2015 → 28/01/2015 |