model_logger-class

Provides estimation methods for markets in equilibrium and
disequilibrium. Supports the estimation of an equilibrium and
four disequilibrium models with both correlated and independent shocks.
Also provides post-estimation analysis tools, such as aggregation,
marginal effect, and shortage calculations. The estimation methods are
based on full information maximum likelihood techniques given in
Maddala and Nelson (1974) <doi:10.2307/1914215>. They are implemented
using the analytic derivative expressions calculated in
Karapanagiotis (2020) <doi:10.2139/ssrn.3525622>. Standard
errors can be estimated by adjusting for heteroscedasticity or clustering.
The equilibrium estimation constitutes a case of a system of linear,
simultaneous equations. Instead, the disequilibrium models replace the
market-clearing condition with a non-linear,
short-side rule and allow for different specifications of price dynamics.

Pantelis Karapanagiotis

diseq

Estimation Methods for Markets in Equilibrium and Disequilibrium

model_logger-class function

<dl class="dl-horizontal">
<dt><code>verbosity</code></dt><dd>Controls the intensity of output messages. Errors are always printed.
Other than this, a value of
<dl class="dl-horizontal">
 <dt>1</dt><dd>prints warnings,</dd>
 <dt>2</dt><dd>prints basic information,</dd>
 <dt>3</dt><dd>prints verbose information and,</dd>
 <dt>4</dt><dd>prints debug information.</dd>
</dl></dd>
</dl>

model_logger-class: Logger class

Description

Arguments

Slots