Aggregation problem in DSGE model
Liansheng Yang, Shu‐Heng Chen, Chia‐Ling Chang, Yi-Heng Tseng
Abstract
Liansheng Yang, Shu‐Heng Chen, Chia‐Ling Chang, Yi-Heng Tseng
Abstract
The aim of this paper is investigating the estimation bias of the standard New Keynesian DSGE econometric procedure in an environment comprising heterogeneous and interactive agents. In this case, the standard New Keynesian DSGE econometric procedures may generate spurious evidence in aggregate equations. On simulating the Ising model and processing the standard New Keynesian DSGE econometric procedure with Dynare, dramatic estimation bias is found. Particularly, the IS puzzle is found in the Ising model with different network structures.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The aim of this paper is investigating the estimation bias of the standard New Keynesian DSGE econometric procedure in an environment comprising heterogeneous and interactive agents. In this case, the standard New Keynesian DSGE econometric procedures may generate spurious evidence in aggregate equations. On simulating the Ising model and processing the standard New Keynesian DSGE econometric procedure with Dynare, dramatic estimation bias is found. Particularly, the IS puzzle is found in the Ising model with different network structures.
Key concepts: Dynamic stochastic general equilibrium, New Keynesian economics, Spurious relationship, Econometric model, Ising model, Econometrics, Economics, Aggregate (composite)