Sunday , November 24 2024
Home / Mike Norman Economics / Side Effects Of Stability Of DSGE Models — Brian Romanchuk

Side Effects Of Stability Of DSGE Models — Brian Romanchuk

Summary:
The stability of the solutions of workhorse dynamic stochastic general equilibrium (DGSE) models is a major drawback of these models when trying to explain recessions. This article looks at the estimated linear New Keynesian model that was used in the previous discussion of the estimation of r* -- the Holston-Laubach-Williams (HLW) model. As I have noted a few times previously, more interesting behaviour can be obtained by nonlinear DSGE models. However, this flexibility comes at the cost of increasing the difficulty of fitting the model to data. There is an infinite number of models one can use to tell stories with.Models are general descriptions of possible worlds. Only data can determine how closely the possible world described by a model may be to the real world, and data determining

Topics:
Mike Norman considers the following as important:

This could be interesting, too:

Matias Vernengo writes Elon Musk (& Vivek Ramaswamy) on hardship, because he knows so much about it

Lars Pålsson Syll writes Klas Eklunds ‘Vår ekonomi’ — lärobok med stora brister

New Economics Foundation writes We need more than a tax on the super rich to deliver climate and economic justice

Robert Vienneau writes Profits Not Explained By Merit, Increased Risk, Increased Ability To Compete, Etc.

The stability of the solutions of workhorse dynamic stochastic general equilibrium (DGSE) models is a major drawback of these models when trying to explain recessions. This article looks at the estimated linear New Keynesian model that was used in the previous discussion of the estimation of r* -- the Holston-Laubach-Williams (HLW) model. 

As I have noted a few times previously, more interesting behaviour can be obtained by nonlinear DSGE models. However, this flexibility comes at the cost of increasing the difficulty of fitting the model to data. There is an infinite number of models one can use to tell stories with.

Models are general descriptions of possible worlds. Only data can determine how closely the possible world described by a model may be to the real world, and data determining this correspondence are exogenous to the model. Data gathering, processing and processing into information have their own problems.

An analogy would be a nautical chart that does not have information about reefs and shoals. The chart is fine most of the time, but.…

There is tension between model building and data that can lead to various issues set forth in the literature. One problem is that modelers often disregard this literature, if they are even aware of it, e.g., owing to cognitive-affective bias, ideology, and lack of awareness of priors such as unstated assumptions and lurking presumptions as meta-assumptions.

Why, especially in the face of much criticism and professional critiquing? This question has a variety of answers, many about the modelers, e.g., silos and group think.

Bond Economics
Side Effects Of Stability Of DSGE Models
Brian Romanchuk
Mike Norman
Mike Norman is an economist and veteran trader whose career has spanned over 30 years on Wall Street. He is a former member and trader on the CME, NYMEX, COMEX and NYFE and he managed money for one of the largest hedge funds and ran a prop trading desk for Credit Suisse.

Leave a Reply

Your email address will not be published. Required fields are marked *