This note provides the details of the estimation procedure in Brünner (2019). In Section 2 we derive the posterior distribution. Section 3 describes the MCMC algorithm used to obtain draws from the posterior distribution and in Section 4 we present the method for our model check. We conclude...

The large majority of the work published on firm investment is done in the neoclassical frame of a rational optimizing firm attempting to achieve optimal size. While this frame addresses one important consideration in firm investment, it has two important shortcomings that this paper will...

One disadvantage of vector autoregressive (VAR) models is that they require time series to have equal lengths in the estimation process. This requirement induces a loss of potentially valuable information coming from time series that are longer than others. The issue is particularly evident in...

The large majority of the work published on firm investment is done in the neoclassical frame of a rational optimizing firm attempting to achieve optimal size. While this frame addresses one important consideration in firm investment, it has two important shortcomings that this paper will...

This note provides the details of the estimation procedure in Br¨unner (2019). In Section 2 we derive the posterior distribution. Section 3 describes the MCMC algorithm used to obtain draws from the posterior distribution and in Section 4 we present the method for our model check. We conclude...

One disadvantage of vector autoregressive (VAR) models is that they require time series to have equal lengths in the estimation process. This requirement induces a loss of potentially valuable information coming from time series that are longer than others. The issue is particularly evident in...