Skip to content

Commit

Permalink
Merge pull request #4608 from openjournals/joss.05598
Browse files Browse the repository at this point in the history 
Merging automatically
  • Loading branch information
@editorialbot
editorialbot authored Sep 25, 2023
2 parents 386b69d + 1e4ba02 commit bb1dfa1
Show file tree
Hide file tree
Showing 4 changed files with 633 additions and 0 deletions.
225 changes: 225 additions & 0 deletions joss.05598/10.21105.joss.05598.crossref.xml
View file
Original file line number Diff line number Diff line change
@@ -0,0 +1,225 @@
<?xml version="1.0" encoding="UTF-8"?>
<doi_batch xmlns="http://www.crossref.org/schema/5.3.1"
xmlns:ai="http://www.crossref.org/AccessIndicators.xsd"
xmlns:rel="http://www.crossref.org/relations.xsd"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
version="5.3.1"
xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schemas/crossref5.3.1.xsd">
<head>
<doi_batch_id>20230925T175210-71a90f82b1d1ba77147c32b63632ecc488c2e432</doi_batch_id>
<timestamp>20230925175210</timestamp>
<depositor>
<depositor_name>JOSS Admin</depositor_name>
<email_address>[email protected]</email_address>
</depositor>
<registrant>The Open Journal</registrant>
</head>
<body>
<journal>
<journal_metadata>
<full_title>Journal of Open Source Software</full_title>
<abbrev_title>JOSS</abbrev_title>
<issn media_type="electronic">2475-9066</issn>
<doi_data>
<doi>10.21105/joss</doi>
<resource>https://joss.theoj.org</resource>
</doi_data>
</journal_metadata>
<journal_issue>
<publication_date media_type="online">
<month>09</month>
<year>2023</year>
</publication_date>
<journal_volume>
<volume>8</volume>
</journal_volume>
<issue>89</issue>
</journal_issue>
<journal_article publication_type="full_text">
<titles>
<title>MacroModelling.jl: A Julia package for developing and
solving dynamic stochastic general equilibrium models</title>
</titles>
<contributors>
<person_name sequence="first" contributor_role="author">
<given_name>Thore</given_name>
<surname>Kockerols</surname>
<ORCID>https://orcid.org/0000-0002-0068-1809</ORCID>
</person_name>
</contributors>
<publication_date>
<month>09</month>
<day>25</day>
<year>2023</year>
</publication_date>
<pages>
<first_page>5598</first_page>
</pages>
<publisher_item>
<identifier id_type="doi">10.21105/joss.05598</identifier>
</publisher_item>
<ai:program name="AccessIndicators">
<ai:license_ref applies_to="vor">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
<ai:license_ref applies_to="am">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
<ai:license_ref applies_to="tdm">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
</ai:program>
<rel:program>
<rel:related_item>
<rel:description>Software archive</rel:description>
<rel:inter_work_relation relationship-type="references" identifier-type="doi">10.5281/zenodo.8374466</rel:inter_work_relation>
</rel:related_item>
<rel:related_item>
<rel:description>GitHub review issue</rel:description>
<rel:inter_work_relation relationship-type="hasReview" identifier-type="uri">https://github.com/openjournals/joss-reviews/issues/5598</rel:inter_work_relation>
</rel:related_item>
</rel:program>
<doi_data>
<doi>10.21105/joss.05598</doi>
<resource>https://joss.theoj.org/papers/10.21105/joss.05598</resource>
<collection property="text-mining">
<item>
<resource mime_type="application/pdf">https://joss.theoj.org/papers/10.21105/joss.05598.pdf</resource>
</item>
</collection>
</doi_data>
<citation_list>
<citation key="durbin2012time">
<volume_title>Time series analysis by state space methods,
2nd edn</volume_title>
<author>Durbin</author>
<doi>10.1093/acprof:oso/9780199641178.001.0001</doi>
<cYear>2012</cYear>
<unstructured_citation>Durbin, J., &amp; Koopman, S. J.
(2012). Time series analysis by state space methods, 2nd edn. Oxford
University Press.
https://doi.org/10.1093/acprof:oso/9780199641178.001.0001</unstructured_citation>
</citation>
<citation key="andreasen2018pruning">
<article_title>The Pruned State-Space System for Non-Linear
DSGE Models: Theory and Empirical Applications</article_title>
<author>Andreasen</author>
<journal_title>The Review of Economic
Studies</journal_title>
<issue>1</issue>
<volume>85</volume>
<doi>10.1093/restud/rdx037</doi>
<issn>0034-6527</issn>
<cYear>2017</cYear>
<unstructured_citation>Andreasen, M. M.,
Fernández-Villaverde, J., &amp; Rubio-Ramírez, J. F. (2017). The Pruned
State-Space System for Non-Linear DSGE Models: Theory and Empirical
Applications. The Review of Economic Studies, 85(1), 1–49.
https://doi.org/10.1093/restud/rdx037</unstructured_citation>
</citation>
<citation key="julia">
<article_title>Julia: A fresh approach to numerical
computing</article_title>
<author>Bezanson</author>
<journal_title>SIAM Review</journal_title>
<issue>1</issue>
<volume>59</volume>
<doi>10.1137/141000671</doi>
<cYear>2017</cYear>
<unstructured_citation>Bezanson, J., Edelman, A., Karpinski,
S., &amp; Shah, V. B. (2017). Julia: A fresh approach to numerical
computing. SIAM Review, 59(1), 65–98.
https://doi.org/10.1137/141000671</unstructured_citation>
</citation>
<citation key="levintal2017fifth">
<article_title>Fifth-order perturbation solution to DSGE
models</article_title>
<author>Levintal</author>
<journal_title>Journal of Economic Dynamics and
Control</journal_title>
<volume>80</volume>
<doi>10.1016/j.jedc.2017.04.007</doi>
<cYear>2017</cYear>
<unstructured_citation>Levintal, O. (2017). Fifth-order
perturbation solution to DSGE models. Journal of Economic Dynamics and
Control, 80, 1–16.
https://doi.org/10.1016/j.jedc.2017.04.007</unstructured_citation>
</citation>
<citation key="villemot2011solving">
<article_title>Solving rational expectations models at first
order: What dynare does</article_title>
<author>Villemot</author>
<cYear>2011</cYear>
<unstructured_citation>Villemot, S. (2011). Solving rational
expectations models at first order: What dynare does. Dynare Working
Papers 2, CEPREMAP.</unstructured_citation>
</citation>
<citation key="kydland_and_prescott_1982">
<article_title>Time to build and aggregate
fluctuations</article_title>
<author>Kydland</author>
<journal_title>Econometrica</journal_title>
<issue>6</issue>
<volume>50</volume>
<doi>10.2307/1913386</doi>
<cYear>1982</cYear>
<unstructured_citation>Kydland, F. E., &amp; Prescott, E. C.
(1982). Time to build and aggregate fluctuations. Econometrica, 50(6),
1345–1370. https://doi.org/10.2307/1913386</unstructured_citation>
</citation>
<citation key="dynare">
<article_title>Dynare: Reference manual version
5</article_title>
<author>Adjemian</author>
<cYear>2022</cYear>
<unstructured_citation>Adjemian, S., Bastani, H., Juillard,
M., Karamé, F., Mihoubi, F., Mutschler, W., Pfeifer, J., Ratto, M.,
Rion, N., &amp; Villemot, S. (2022). Dynare: Reference manual version 5
(Dynare Working Papers No. 72). CEPREMAP.</unstructured_citation>
</citation>
<citation key="rise">
<article_title>Efficient perturbation methods for solving
regime-switching DSGE models</article_title>
<author>Maih</author>
<doi>10.2139/ssrn.2602453</doi>
<cYear>2015</cYear>
<unstructured_citation>Maih, J. (2015). Efficient
perturbation methods for solving regime-switching DSGE models (Working
Paper No. 2015/01). Norges Bank.
https://doi.org/10.2139/ssrn.2602453</unstructured_citation>
</citation>
<citation key="taylorprojection">
<article_title>Taylor Projection: A New Solution Method For
Dynamic General Equilibrium Models</article_title>
<author>Levintal</author>
<journal_title>International Economic Review</journal_title>
<issue>3</issue>
<volume>59</volume>
<doi>10.1111/iere.12306</doi>
<cYear>2018</cYear>
<unstructured_citation>Levintal, O. (2018). Taylor
Projection: A New Solution Method For Dynamic General Equilibrium
Models. International Economic Review, 59(3), 1345–1373.
https://doi.org/10.1111/iere.12306</unstructured_citation>
</citation>
<citation key="gecon">
<article_title>Smets-Wouters ’03 model revisited - an
implementation in gEcon</article_title>
<author>Klima</author>
<cYear>2015</cYear>
<unstructured_citation>Klima, G., Podemski, K.,
Retkiewicz-Wijtiwiak, K., &amp; Sowińska, A. E. (2015). Smets-Wouters
’03 model revisited - an implementation in gEcon (MPRA Paper No. 64440).
University Library of Munich, Germany.</unstructured_citation>
</citation>
<citation key="diffstatespace">
<article_title>Differentiable State-Space Models and
Hamiltonian Monte Carlo Estimation</article_title>
<author>Childers</author>
<doi>10.3386/w30573</doi>
<cYear>2022</cYear>
<unstructured_citation>Childers, D., Fernández-Villaverde,
J., Perla, J., Rackauckas, C., &amp; Wu, P. (2022). Differentiable
State-Space Models and Hamiltonian Monte Carlo Estimation (NBER Working
Papers No. 30573). National Bureau of Economic Research, Inc.
https://doi.org/10.3386/w30573</unstructured_citation>
</citation>
</citation_list>
</journal_article>
</journal>
</body>
</doi_batch>
Loading

0 comments on commit bb1dfa1

Please sign in to comment.