Cointegration Vector Estimation by Panel DOLS and Long‐run Money Demand*
University of Notre Dame · The Ohio State University · +1 more institution
Abstract
Abstract We study the panel dynamic ordinary least square (DOLS) estimator of a homogeneous cointegration vector for a balanced panel of N individuals observed over T time periods. Allowable heterogeneity across individuals include individual‐specific time trends, individual‐specific fixed effects and time‐specific effects. The estimator is fully parametric, computationally convenient, and more precise than the single equation estimator. For fixed N as T →∞, the estimator converges to a function of Brownian motions and the Wald statistic for testing a set of s linear constraints has a limiting χ 2 ( s ) distribution. The estimator also has a Gaussian sequential limit distribution that is obtained first by…
Citation impact
- FWCI
- 16.94
- Percentile
- 100%
- References
- 30
Authors
2Topics & keywords
- Estimator
- Mathematics
- Asymptotic distribution
- Cointegration
- Monte Carlo method
- Econometrics
- Ordinary least squares
- Parametric statistics
- No poverty