Arbeitspapier

Infinite dimensional VARs and factor models

This paper introduces a novel approach for dealing with the 'curse of dimensionality' in the case of large linear dynamic systems. Restrictions on the coefficients of an unrestricted VAR are proposed that are binding only in a limit as the number of endogenous variables tends to infinity. It is shown that under such restrictions, an infinite-dimensional VAR (or IVAR) can be arbitrarily well characterized by a large number of finite-dimensional models in the spirit of the global VAR model proposed in Pesaran et al. (JBES, 2004). The paper also considers IVAR models with dominant individual units and shows that this will lead to a dynamic factor model with the dominant unit acting as the factor. The problems of estimation and inference in a stationary IVAR with unknown number of unobserved common factors are also investigated. A cross section augmented least squares estimator is proposed and its asymptotic distribution is derived. Satisfactory small sample properties are documented by Monte Carlo experiments. An empirical application to modelling of real GDP growth and investment-output ratios provides an illustration of the proposed approach. Considerable heterogeneities across countries and significant presence of dominant effects are found. The results also suggest that increase in investment as a share of GDP predict higher growth rate of GDP per capita for non-negligible fraction of countries and vice versa.

Language
Englisch

Bibliographic citation
Series: IZA Discussion Papers ; No. 3206

Classification
Wirtschaft
Econometric and Statistical Methods and Methodology: General
Subject
Large N and T panels
weak and strong cross section dependence
VAR
global VAR
factor models
capital accumulation
growth
VAR-Modell
Faktorenanalyse
Monte-Carlo-Methode
Investition
Wirtschaftswachstum
Theorie
Schätzung
Welt

Event
Geistige Schöpfung
(who)
Chudik, Alexander
Pesaran, Mohammad Hashem
Event
Veröffentlichung
(who)
Institute for the Study of Labor (IZA)
(where)
Bonn
(when)
2007

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Chudik, Alexander
  • Pesaran, Mohammad Hashem
  • Institute for the Study of Labor (IZA)

Time of origin

  • 2007

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