We invite submissions of theoretical, empirical, and quantitative research on macroeconomic topics. We highly encourage all contributions, not limited to the use of Dynare. There will also be a Workshop on HANK models in Dynare on 1 June 2026, held by the Dynare team. Conference participants can attend the workshop free of charge.

All papers should be submitted via the submission form. The deadline for submissions is 15 March 2026, and notifications of acceptance will be sent by 10 April 2026. There is no fee to attend, lunch on both days and a conference dinner will be provided. Authors of accepted papers will be responsible for their airfare and accommodation.

Scientific committee: Stéphane Adjemian (Université du Mans and Dynare Team), Anastasiia Antonova (Bank of Canada), Willi Mutschler (University of Tübingen and Dynare Team), Chris Naubert (Bank of Canada), Johannes Pfeifer (University of the Bundeswehr Munich), Sébastien Villemot (CEPREMAP and Dynare Team), and Yang Zhang (Bank of Canada).

For inquiries, please contact conference@dynare.org

Call for papers

The advertisement and call for applications will come out in Q2 2026.

If you’re interested, please save the date. We hope to see you in Ispra!

This maintenance release fixes various bugs.

The Windows, macOS, MATLAB Online and source packages are available for download at the Dynare website.

This release is compatible with MATLAB versions ranging from 9.5 (R2018b) to 25.2 (R2025b), and with GNU Octave versions ranging from 7.1.0 to 10.3.0 (NB: the Windows package requires version 10.3.0 specifically).

Here is a list of the problems identified in version 6.4 and that have been fixed in version 6.5:

• Several issues in the nonlinear solver, used in e.g. numerical steady state computations, were fixed:
  • it only directly accepted initial values equal to the solution if the Jacobian contained NaN or Inf; otherwise, the numerical solver was uselessly started
  • it erroneously accepted initial guesses with complex values when randomizing the starting point
  • it erroneously accepted initial guesses that contained Inf
• Optimization would, in rare cases, erroneously apply an infinite penalty function value
• In rare cases, the multivariate diffuse Kalman filter/smoother (kalman_algo=3) did not correctly exit the diffuse stage
• The following problems with the estimation command were fixed:
  • the point forecasts triggered by the forecast option did not take shock uncertainty into account
  • the keep_kalman_algo_if_singularity_is_detected option did not work as advertised (option will be removed in Dynare 7)
  • the EndTemperature suboption of the mode_compute=10 option (“simpsa”) was broken
  • the mh_posterior_mode_estimation option was broken in conjunction with the method_of_moments command
  • the nodecomposition option did not suppress all variance decompositions
  • the posterior_sampling_method='slice' option did not save all files in the correct folder
  • the mh_recover option did not work correctly in conjunction with the posterior_sampling_method='slice' and posterior_sampler_options=('save_tmp_file', 1) options
  • the results of mode-finding were not correctly stored in oo_.posterior_mode for shock and measurement error correlations
• The following problems with non-linear filters were fixed:
  • the manual incorrectly stated that 1,000 instead of 5,000 particles was the default
  • the estimation command did not allow the pruning option to be set for higher-order estimation
  • combining options filter_algorithm=cpf and proposal_approximation=montecarlo of the estimation command returned incorrect results
  • the suboptions 'unscented_beta' and 'unscented_kappa' of the particle_filter_options option of the estimation command did not accept values of 0
  • the filter_algorithm=gf and filter_algorithm=gmf options of the estimation command did not correctly handle correlated measurement error
• The confidence bands of classical forecasts had incorrect coverage
• Several issues with the forecast command used with exogenous deterministic variables (declared with the varexo_det command) were fixed:
  • without measurement errors, it would store the upper bound of the confidence interval in the HPDinf field and the lower bound in the HPDsup field
  • with multiple measurement errors it would crash if not all observables were requested as outputs
  • it would assign the output to the wrong variable names if a variable list was specified after the command
• The discretionary_policy command did not accept the planner_discount_latex_name option, contrary to what the documentation says
• The outfile option of the smoother2histval command would produce an incorrect file on models with two lags or more, leading to incorrect results when loading that file with the histval_file command
• OccBin would occasionally crash upon encountering invalid parameter vectors
• The example1_reporting.mod example file was broken

As a reminder, the list of new features introduced in versions 6.x can be found in the release notes for 6.0.

This maintenance release fixes various bugs.

The Windows, macOS, MATLAB Online and source packages are available for download at the Dynare website.

This release is compatible with MATLAB versions ranging from 9.5 (R2018b) to 25.1 (R2025a), and with GNU Octave versions ranging from 7.1.0 to 10.2.0 (NB: the Windows package requires version 10.2.0 specifically).

Here is a list of the problems identified in version 6.3 and that have been fixed in version 6.4:

• Several issues with the perfect_foresight_with_expectation_errors command:
  • when used with no endval/endval(learnt_in=1) block but an endval(learnt_in=t) block with t>1, convergence could fail if homotopy was needed
  • combined with homotopy_marginal_linearization_fallback, it would return incorrect results
  • it would crash with homotopy_marginal_linearization_fallback option if there were several distinct shocks or endval blocks with the learnt_in option
• Using the model_diagnostics command with the bytecode option of the model block or the model_options command would crash if the static Jacobian was singular
• The discretionary_policy command with the noprint option would crash when encountering a problem instead of continuing
• Using the ramsey_model command with models declared as linear would crash during preprocessing when there is a lead/lag greater than 1 on endogenous variables or any lead/lag on exogenous variables
• Using the identification command with the slice sampler would crash if the slice_initialize_with_mode option was used
• The particle filter option resampling_method of the estimation command was broken
• The output=third preprocessor option would not work if no computational commands were present in the .mod file

As a reminder, the list of new features introduced in versions 6.x can be found in the release notes for 6.0.

Jean-Pierre Laffargue leaves an indelible mark on CEPREMAP’s macroeconomic activities. His commitment to developing numerical methods for solving large-scale, nonlinear, perfect foresight economic models was instrumental for the international community of macroeconomists. It was during the 1980s that Jean-Pierre Laffargue decided to develop an algorithm capable of solving any type of nonlinear dynamic model. His key contribution lay in harnessing the superior speed and stability of the Newton-Raphson algorithm, while devising ways to minimize memory requirements for its practical implementation, thereby reducing computational time. Laffargue’s algorithm was first published in 1988 in CEPREMAP’s Couvertures Oranges series, and later in 1990 in the Annales d’Économie et de Statistique. Around this major breakthrough in numerical methods for economists, the Dynare software was built. Laffargue’s algorithm is now used daily by macroeconomists around the world—whether academic researchers or economists at major institutions such as the IMF, the Federal Reserve System, the ECB, and others. His foundational research continues to contribute to public policy by enabling the use of state-of-the-art macroeconomic analysis to assess and compare alternative policy scenarios.

Building on these methodological achievements, Jean-Pierre Laffargue also contributed to the debate on the effectiveness of public policy in France. Initiating what would become the CEPREMAP tradition, he developed original models of the French economy, making it possible to analyze and evaluate a wide range of reforms. His work significantly shaped the analytical frameworks used in policy decision-making. In particular, during the 1990s (1993, 1995, 1996a, 1996b), Laffargue demonstrated how to integrate the latest advances in macroeconomic theory—such as monopolistic competition and wage bargaining—into dynamic models, even as these theoretical developments were still fresh in the literature. The models he developed were subsequently used to evaluate a broad array of public policies in France, including payroll tax cuts on low wages in response to skill-biased technological change, social VAT, and the taxation of capital income.

Jean-Pierre Laffargue was also a teacher to many of us. In this role, we are grateful to him for instilling in us a sense of rigor and critical thinking. His humor, love of debate, and attentive listening made it easy to engage with him and to learn from his teachings—both inside and outside the classroom.

References

• Laffargue, Jean-Pierre. 1988. Résolution d’un modèle macroéconomique non linéaire avec anticipations rationnelles. Document de travail du CEPREMAP, no. 88/24. Paris: CEPREMAP.

• Laffargue, Jean-Pierre. 1990. Résolution d’un modèle macroéconomique avec anticipations rationnelles. Annales d’économie et de statistique, 17: 97-119.

• Laffargue, Jean-Pierre. 1993. Maquette dynamique de l’économie française avec anticipations rationnelles, concurrence monopolistique et négociations sur le marché du travail. Document de travail du CEPREMAP, no. 88/24. Paris: CEPREMAP.

• Laffargue, Jean-Pierre. 1995. A Dynamic Model of the French Economy, with Rational Expectations, Monopolistic Competition and Labour Market Bargaining. Annales d’économie et de statistique, 37/38: 465-530.

• Laffargue, Jean-Pierre. 1996a. Chômage des non qualifiés et progrès technique. le modèle charlotte. Document de travail du CEPREMAP, no. 96/12. Paris: CEPREMAP

• Laffargue, Jean-Pierre. 1996b. Fiscalité, Charges sociales, qualifications et emploi. Économie et Prévision, 125: 87-105.

Goals and format of the workshop

The workshop aims at presenting, discussing, and sharing experiences regarding advanced features and expert use of Dynare. It welcomes and stimulates exchanges and contributions with/from the audience.

The 2025 iteration of the workshop will focus on the following topics:

• An update on Dynare – new & prospective features:

• Contributions from the audience and open discussion: “Using models for policy analysis and research: lessons learned, issues, needs.” (selected short and in-depth presentations).

Audience

The workshop is addressed to advanced Dynare users with backgrounds ranging from academia to policy institutions.

Applications

The course will be open to a maximum of 20 qualified and selected participants. Interested parties can apply by sending the following information to school@dynare.org:

• CV and a recent research paper (not necessarily using Dynare) (PDFs only)

• The filled-in attached application form (saved as a PDF)

Applications should be submitted no later than 30 April 2025. We will notify successful applicants by 31 May 2025 the latest.

Fee

No fee is due. Lunches, coffee breaks, a social dinner on September 18th, and workshop material are provided.

Venue

European Commission, Joint Research Centre, Ispra site via E. Fermi 2749 21027 Ispra (VA), Italy.

Travel and transportation

Participants will have to fund their own travel and accommodation expenses. The organizers have pre-booked rooms in nearby recommended hotels from 17 September until 19 September 2025. The workshop will start around 9:00 on Wednesday and finish around 17:00 on Friday.

Organizers will provide connections between the JRC and Milan Airports (Malpensa and Linate) and the Milano Centrale Train Station on the days of arrival and departure. We also organize two daily connections (morning and late afternoon) between the JRC and the pre-booked hotels. There will be no connection provided from other hotels to/from JRC.

Details

The course is jointly organized by the Joint Research Centre and CEPREMAP. Organizers and animators:

• Stéphane Adjemian (Université du Mans)
• Willi Mutschler (Univ. Tübingen)
• Johannes Pfeifer (UniBW München)
• Marco Ratto (JRC)
• Werner Roeger (DIW Berlin and KU Leuven)
• Sébastien Villemot (CEPREMAP).

Local organisers: Eleonora Beghetto, Avramidou Kleoniki, Adrian Ifrim, Marco Membretti, Beatrice Pataracchia, Josselin Roman, Jan Teresinski.

This is a laptop-only workshop. Each participant is required to come with his/her laptop with MATLAB R2018b or later and the latest stable Dynare version installed. We will provide WiFi access, but participants shouldn’t rely on it to access a MATLAB license server at their own institution. As an alternative to MATLAB, it is possible to use GNU Octave (free software, compatible with MATLAB syntax).

Please note that electricity plugs are Schuko type F: attendees should make sure to have the adapter to plug in in their laptop.

This maintenance release fixes various bugs.

The Windows, macOS, MATLAB Online and source packages are available for download at the Dynare website.

This release is compatible with MATLAB versions ranging from 9.5 (R2018b) to 24.2 (R2024b), and with GNU Octave versions ranging from 7.1.0 to 9.4.0 (NB: the Windows package requires version 9.4.0 specifically).

Here is a list of the problems identified in version 6.2 and that have been fixed in version 6.3:

• OccBin with option smoother_inversion_filter would crash the MCMC estimation if the filtered_variables or filter_step_ahead options were used
• OccBin with option smoother_inversion_filter would use the PKF if mh_replic>0
• OccBin with option smoothed_state_uncertainty would crash Dynare if the MCMC smoother was run after the classical one
• OccBin’s smoother would crash when encountering an internal error due to the output of the linear smoother not having been computed
• Calling model_info with differentiate_forward_vars would crash
• The identification command would compute the asymptotic Hessian via simulation instead of via moments as intended
• The identification command would crash during prior sampling if the initial draw did not solve the model
• The gsa_sample_file was broken
• Optimization algorithm mode_compute=5 (newrat) would crash with analytic_derivation
• The discretionary_policy command would crash if the model was purely forward-looking
• The dsample command would crash
• The conditional_forecast_paths block did not accept vector inputs
• For MCMC chains with fewer than 6000 draws, the default number of sub_draws used to compute posterior moments was incorrect
• Bi-annual dates (e.g. 2024S1 or 2024H1) were not accepted within Dynare statements
• Plotting dseries did not correctly show dates on the x-axis

As a reminder, the list of new features introduced in versions 6.x can be found in the release notes for 6.0.

We invite submissions of theoretical, empirical, and quantitative research on macroeconomic topics. Following this year’s special theme, we are particularly interested in contributions that explore heterogeneity and non-linearities in quantitative macroeconomic models. We encourage the use of diverse software tools beyond Dynare.

All papers should be submitted via the submission form. The deadline for submissions is 16 March 2025, and notifications of acceptance will be sent by 11 April 2025. There is no fee to attend, lunch on both days and a conference dinner will be provided. Authors of accepted papers will be responsible for their airfare and accommodation.

Scientific committee: Stéphane Adjemian (Université du Mans and Dynare Team), Johannes Pfeifer (Universität der Bundeswehr München and Dynare Team), Annukka Ristiniemi (European Central Bank), Juha Kilponen (Bank of Finland), Esa Jokivuolle (Bank of Finland) and Markus Haavio (Bank of Finland) For inquiries, please contact conference(at)dynare.org and on local organisation, please contact Riikka Virtanen, riikka.virtanen(at)bof.fi

Call for papers

This maintenance release fixes various bugs.

The Windows, macOS, MATLAB Online and source packages are available for download at the Dynare website.

This release is compatible with MATLAB versions ranging from 9.5 (R2018b) to 24.2 (R2024b), and with GNU Octave versions ranging from 7.1.0 to 9.2.0 (NB: the Windows package requires version 9.2.0 specifically).

Here is a list of the problems identified in version 6.1 and that have been fixed in version 6.2:

• The mixed complementarity problem (MCP) solver could fail or give wrong results in some cases where there were multiple complementarity conditions
• The qmc_sequence MEX file from the macOS package would fail to load
• OccBin forecasts would crash in case of shocks with zero variance
• OccBin smoother would crash if simulation did not converge
• Computation of posterior moments could crash in large models
• The auxiliary particle filter and the Liu & West online filter (mode_compute=11) required the Statistics Toolbox
• The auxiliary particle filter and the Liu & West online filter (mode_compute=11) would not work with the discretionary_policy command
• The discretionary_policy command would crash if there were fewer than two exogenous variables
• Using the forecast command with a model solved at order>1 without varexo_det would return forecasts based on a first order approximation instead of providing an error message
• Using the forecast command with a model solved at order=2 with varexo_det and pruning would return forecasts without pruning instead of providing an error message
• Using the forecast command with a model solved at order=3 would crash
• SMC methods could return wrong posterior results if the Parallel Toolbox was installed
• The Herbst-Schorfheide SMC sampler would crash at order>1
• Annualized shock decomposition would not output results if desired vintage date did not coincide to an end-of-the-year Q4 period
• Using rand_multivariate_student as the proposal density in the tailored_random_block_metropolis_hastings posterior sampler would return wrong results
• The onlyclearglobals of the dynare command was not working as intended
• The det_cond_forecast command would crash with plans including only expected shocks
• Estimation could crash in some rare cases when computing the 2nd order moments of prior or posterior distribution
• Successive calls of the Herbst-Schorfheide SMC sampler could crash due to some stale files being left on disk
• The shock decomposition plot could be wrong in the presence of leads/lags on exogenous variables, or when the steady state is squeezed

As a reminder, the list of new features introduced in versions 6.x can be found in the release notes for 6.0.

The keynote speakers will be Eric Leeper (University of Virginia) and Todd Schoellman (Federal Reserve Bank of Minneapolis).

We welcome theoretical, empirical, and quantitative submissions on all topics within macro. We seek papers using different types of software tools besides Dynare.

All papers should be submitted via the submission form. The deadline for submissions is 15 August September 2024 and notifications of acceptance will be sent by 26 September 2024. There is no fee to attend, lunch on both days and a conference dinner will be provided. Authors of accepted papers will be responsible for their airfare and accommodation.

For any other requests, please contact: conference@dynare.org.

Call for papers

Program