Opening the black box: structural factor models with large cross-sections
Forni, Mario
Opening the black box: structural factor models with large cross-sections created by Mario Forni, Domenico Giannone, Marco Lippi and Lucrezia Reichlin - Econometric theory Volume 25, number 5 .
This paper shows how large-dimensional dynamic factor models are suitable for structural analysis. We establish sufficient conditions for identification of the structural shocks and the associated impulse response functions. In particular, we argue that, if the data follow an approximate factor structure, the “problem of fundamentalness”, which is intractable in structural VARs, can be solved provided that the impulse responses are sufficiently heterogeneous. Finally, we propose a consistent method (and n, T rates of convergence) to estimate the impulse-response functions, as well as a bootstrapping procedure for statistical inference. JEL Classification: E0, C1
02664666
Dynamic Factor Models--Structural VARs--Fundamentalness
HB139.T52 ECO
Opening the black box: structural factor models with large cross-sections created by Mario Forni, Domenico Giannone, Marco Lippi and Lucrezia Reichlin - Econometric theory Volume 25, number 5 .
This paper shows how large-dimensional dynamic factor models are suitable for structural analysis. We establish sufficient conditions for identification of the structural shocks and the associated impulse response functions. In particular, we argue that, if the data follow an approximate factor structure, the “problem of fundamentalness”, which is intractable in structural VARs, can be solved provided that the impulse responses are sufficiently heterogeneous. Finally, we propose a consistent method (and n, T rates of convergence) to estimate the impulse-response functions, as well as a bootstrapping procedure for statistical inference. JEL Classification: E0, C1
02664666
Dynamic Factor Models--Structural VARs--Fundamentalness
HB139.T52 ECO