From eb8444889a65da0c97ea5571c4fe933e2c860359 Mon Sep 17 00:00:00 2001
From: Johannes Pfeifer <jpfeifer@gmx.de>
Date: Tue, 21 Nov 2023 03:32:43 +0100
Subject: [PATCH] Manual: add reference for cycle reduction
---
doc/manual/source/bibliography.rst | 1 +
doc/manual/source/the-model-file.rst | 4 ++--
2 files changed, 3 insertions(+), 2 deletions(-)
diff --git a/doc/manual/source/bibliography.rst b/doc/manual/source/bibliography.rst
index 7591b382a0..06f4faac08 100644
--- a/doc/manual/source/bibliography.rst
+++ b/doc/manual/source/bibliography.rst
@@ -13,6 +13,7 @@ Bibliography
* Andrews, Donald W.K (1991): “Heteroskedasticity and autocorrelation consistent covariance matrix estimation”, *Econometrica*, 59(3), 817–858.
* Backus, David K., Patrick J. Kehoe, and Finn E. Kydland (1992): “International Real Business Cycles,” *Journal of Political Economy*, 100(4), 745–775.
* Baxter, Marianne and Robert G. King (1999): “Measuring Business Cycles: Approximate Band-pass Filters for Economic Time Series,” *Review of Economics and Statistics*, 81(4), 575–593.
+* Bini, Dario A., Guy Latouche, and Beatrice Meini (2002): “Solving matrix polynomial equations arising in queueing problems,” *Linear Algebra and its Applications*, 340, 225–244.
* Born, Benjamin and Johannes Pfeifer (2014): “Policy risk and the business cycle”, *Journal of Monetary Economics*, 68, 68-85.
* Boucekkine, Raouf (1995): “An alternative methodology for solving nonlinear forward-looking models,” *Journal of Economic Dynamics and Control*, 19, 711–734.
* Brayton, Flint and Peter Tinsley (1996): "A Guide to FRB/US: A Macroeconomic Model of the United States", *Finance and Economics Discussion Series*, 1996-42.
diff --git a/doc/manual/source/the-model-file.rst b/doc/manual/source/the-model-file.rst
index 9ba4e6a5af..475bbaf958 100644
--- a/doc/manual/source/the-model-file.rst
+++ b/doc/manual/source/the-model-file.rst
@@ -4826,7 +4826,7 @@ Computing the stochastic solution
``cycle_reduction``
- Uses the cycle reduction algorithm to solve the
+ Uses the cycle reduction algorithm of ``Bini et al. (2002)`` to solve the
polynomial equation for retrieving the coefficients
associated to the endogenous variables in the decision
rule. This method is faster than the default one for
@@ -4834,7 +4834,7 @@ Computing the stochastic solution
``logarithmic_reduction``
- Uses the logarithmic reduction algorithm to solve the
+ Uses the logarithmic reduction algorithm of ``Bini et al. (2002)`` to solve the
polynomial equation for retrieving the coefficients
associated to the endogenous variables in the decision
rule. This method is in general slower than the
--
GitLab