build based on 339ca36

v0.1.31/.documenter-siteinfo.json

@@ -1 +1 @@
-{"documenter":{"julia_version":"1.9.4","generation_timestamp":"2023-11-20T01:46:35","documenter_version":"1.1.2"}}
+{"documenter":{"julia_version":"1.9.4","generation_timestamp":"2023-11-20T10:35:15","documenter_version":"1.1.2"}}

v0.1.31/how-to/loops/index.html

@@ -49,11 +49,9 @@
 y{F}[ss] = 1 | alpha{F}</code></pre><p>to find the value of <code>alpha</code> that corresponds to <code>y</code> being equal to 1 in the non-stochastic steady state. Alternatively we can not use indices and the package understands that we refer to both indices:</p><pre><code class="language-julia hljs">y[ss] = 1 | alpha</code></pre><p>Making use of the indices we could also target a level of <code>y</code> for country <code>H</code> with <code>alpha</code> for country <code>H</code> and target ratio of the two <code>y</code>s with the <code>alpha</code> for country <code>F</code>:</p><pre><code class="language-julia hljs">y{H}[ss] = 1 | alpha{H}
 y{H}[ss] / y{F}[ss] = y_ratio | alpha{F}
 y_ratio =  0.9</code></pre><h3 id="Example-parameter-block"><a class="docs-heading-anchor" href="#Example-parameter-block">Example parameter block</a><a id="Example-parameter-block-1"></a><a class="docs-heading-anchor-permalink" href="#Example-parameter-block" title="Permalink"></a></h3><p>Making use of this and continuing the example of the Backus, Kehoe and Kydland (1992) model we can define the parameters as follows:</p><pre><code class="language-julia-repl hljs" style="display:block;">julia&gt; @parameters Backus_Kehoe_Kydland_1992 begin
-           F_H_ratio = .9
-           K{F}[ss] / K{H}[ss] = F_H_ratio | beta{F}
-           K{H}[ss] = 11 | beta{H}
+           K_ss = 11
+           K[ss] = K_ss | beta
 
-           beta    =    0.99
            mu      =    0.34
            gamma   =    -1.0
            alpha   =    1
@@ -71,12 +69,10 @@
            rho{F}{F} = rho{H}{H}
            rho{H}{F} = 0.088
            rho{F}{H} = rho{H}{F}
-       end</code><code class="nohighlight hljs ansi" style="display:block;">Remove redundant variables in non stochastic steady state problem:	0.722 seconds
-Set up non stochastic steady state problem:	0.879 seconds
-Take symbolic derivatives up to first order:	0.849 seconds
-Find non stochastic steady state:	5.618 seconds
-┌ Warning: Could not find non-stochastic steady state. Consider setting bounds on variables or calibrated parameters in the `@parameters` section (e.g. `k &gt; 10`).
-└ @ Main ~/work/MacroModelling.jl/MacroModelling.jl/src/macros.jl:1456
+       end</code><code class="nohighlight hljs ansi" style="display:block;">Remove redundant variables in non stochastic steady state problem:	0.664 seconds
+Set up non stochastic steady state problem:	0.496 seconds
+Take symbolic derivatives up to first order:	0.971 seconds
+Find non stochastic steady state:	4.443 seconds
 Model:        Backus_Kehoe_Kydland_1992
 Variables
  Total:       56
@@ -88,4 +84,4 @@
 Shocks:       2
 Parameters:   28
 Calibration
-equations:    2</code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../../tutorials/estimation/">« Estimate a model using gradient based samplers - Schorfheide (2000)</a><a class="docs-footer-nextpage" href="../obc/">Occasionally binding constraints »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Monday 20 November 2023 01:46">Monday 20 November 2023</span>. Using Julia version 1.9.4.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+equations:    2</code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../../tutorials/estimation/">« Estimate a model using gradient based samplers - Schorfheide (2000)</a><a class="docs-footer-nextpage" href="../obc/">Occasionally binding constraints »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Monday 20 November 2023 10:35">Monday 20 November 2023</span>. Using Julia version 1.9.4.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>