Abstract
This chapter discusses the specification, estimation and testing of dynamic models with multi-dimensional data. The difficulties in estimating dynamic models in standard two-dimensional panel data are well known and these challenges are exacerbated by the more complicated endogeneity problems associated with using multi-dimensional data. Furthermore, the availability of multi-dimensional data allows proper modelling of reciprocity. This chapter analyzes a general model containing both reciprocity and short-run dynamics. It is straightforward to show that endogeneity is an inherent feature of the general model and least squares type estimators will be inconsistent. A set of valid orthogonal conditions is proposed, which is then used in Generalized Method of Moments (GMM) estimation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Bun, M.J.G., Chan, F., Harris, M.N. (2017). Dynamic Models and Reciprocity. In: Matyas, L. (eds) The Econometrics of Multi-dimensional Panels. Advanced Studies in Theoretical and Applied Econometrics, vol 50. Springer, Cham. https://doi.org/10.1007/978-3-319-60783-2_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-60783-2_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60782-5
Online ISBN: 978-3-319-60783-2
eBook Packages: Economics and FinanceEconomics and Finance (R0)