Zacharias Psaradakis
;
Martin Sola
;
Fabio Spagnolo

on markov error-correction models, with an application to stock prices and dividends (replication data)

This paper considers Markov error-correction (MEC) models in which deviations from the long-run equilibrium are characterized by different rates of adjustment. To motivate our analysis and illustrate the various issues involved, our discussion is structured around the analysis of the long-run properties of US stock prices and dividends. It is shown that the MEC model is flexible enough to account for situations where deviations from the long-run equilibrium are nonstationary in one of the states of nature and allows us to test for such a possibility. An empirical specification procedure to establish the existence of MEC adjustment in practice is also presented. This is based on a multi-step test procedure that exploits the differences between the global and local characteristics of systems with MEC adjustment.

Data and Resources

Suggested Citation

Psaradakis, Zacharias; Sola, Martin; Spagnolo, Fabio (2004): On Markov error-correction models, with an application to stock prices and dividends (replication data). Version: 1. Journal of Applied Econometrics. Dataset. http://dx.doi.org/10.15456/jae.2022314.1316163294