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+Announcement for Dynare 4.4.0 (on 2013-12-11)
+=============================================
+
+We are pleased to announce the release of Dynare 4.4.0.
+
+This major release adds new features and fixes various bugs.
+
+The Windows package is already available for download. The Mac and
+Debian/Ubuntu packages should follow soon.
+
+All users are strongly encouraged to upgrade.
+
+This release is compatible with MATLAB versions ranging from 7.3 (R2006b) to
+8.1 (R2013b) and with GNU Octave version 3.6.
+
+Here is the list of major user-visible changes:
+
+
+* New major algorithms:
+
+ - Extended path at order 1 and above, also known as “stochastic extended
+   path”. This method is triggered by setting the `order' option of the
+   `extended_path' command to a value greater than 0. Dynare will then use a
+   Gaussian quadrature to take into account the effects of future uncertainty.
+   The time series for the endogenous variables are generated by assuming that
+   the agents believe that there will no more shocks after period t+order.
+
+ - Alternative algorithms for computing decision rules of a stochastic model,
+   based on the cycle reduction and logarithmic reduction algorithms. These
+   methods are respectively triggered by giving `dr = cycle_reduction' or 'dr
+   = logarithmic_reduction' as an option to the `stoch_simul' command.
+
+ - Pruning now works with 3rd order approximation, along the lines of
+   Andreasen, Fernández-Villaverde and Rubio-Ramírez (2013).
+
+ - Computation of conditional forecast using an extended path method. This is
+   triggered by the new option `simulation_type = deterministic' in the
+   `conditional_forecast' command. In this case, the `expectation' command in
+   the `conditional_forecast_paths' block has to be used to indicate the nature
+   of expectations (whether shocks are a surprise or are perfectly
+   anticipated).
+
+ - Endogenous priors as in Christiano, Trabandt and Walentin (2011). Those are
+   triggered by the new option `endogenous_prior' of the `estimation' command.
+
+
+* Other algorithmic improvements:
+
+ - New command `model_diagnostics' to perform various sanity checks on the
+   model. Note: in the past, some users may have used a preliminary MATLAB
+   function implementing this; the new command has the same syntax, except that
+   you shouldn't pass any argument to it.
+
+ - Terminal conditions of perfect foresight simulations can now be specified in
+   growth rates. More specifically, the new option `differentiate_forward_vars'
+   of the `model' block will create auxiliary forward looking variables
+   expressed in first differences or growth rates of the actual forward looking
+   variables defined in the model. These new variables have obvious zero
+   terminal conditions whatever the simulation context and this in many cases
+   helps convergence of simulations.
+
+ - Convergence diagnostics for single chain MCMC à la Geweke (1992, 1999).
+
+ - New optimizer for the posterior mode (triggered by `mode_compute=10'): it
+   uses the simpsa algorithm, based on the combination of the non-linear
+   simplex and simulated annealing algorithms and proposed by Cardoso, Salcedo
+   and Feyo de Azevedo (1996).
+
+ - The automatic detrending engine has been extended to work on models written
+   in logs. The corresponding trend variable type is `log_trend_var', and the
+   corresponding deflator type is `log_deflator'.
+
+
+* New features in the user interface:
+
+ - New set of functions for easily creating PDF reports including figures and
+   tables. See the “Reporting” section in the reference manual for more
+   details.
+
+ - New MATLAB/Octave classes for handling time series. See the “Time series”
+   section in the reference manual for more details.
+
+ - Datafiles in CSV format can now be used for estimation.
+
+ - New macro processor `length' operator, returns the length of an array.
+
+ - New option `all_values_required' of `initval' and `endval' blocks: enforces
+   initialization of all endogenous and exogenous variables within the block.
+
+ - Option `ar' can now be given to the `estimation' command.
+
+ - New options `nograph', `nointeractive', `nostrict' and `nowarn' to the
+   `dynare' command.
+
+ - The information on MCMC acceptance rates, seeds, last log posterior
+   likelihood, and last parameter draw are now saved in `oo_.MC_record'.
+
+ - New options `mode_check_neighbourhood_size', `mode_check_symmetric_plots'
+   and `mode_check_number_of_points', for a better control of the diagnostic
+   plots.
+
+ - New option `parallel_local_files' of `model' block, for transferring extra
+   files during parallel computations.
+
+ - New option `clock' of `set_dynare_seed', for setting a different seed at
+   each run.
+
+ - New option `qz_zero_threshold' of the `check', `stoch_simul' and
+   `estimation' commands, for a better control of the situation where a
+   generalized eigenvalue is close to 0/0.
+
+ - New `verbatim' block for inclusion of text that should pass through the
+   preprocessor and be placed as is in the `modfile.m' file.
+
+ - New option `mcmc_jumping_covariance' of the `estimation' command, for a
+   better control of the covariance matrix used for the proposal density of the
+   MCMC sampler.
+
+ - New option `use_calibration' of the `estimated_params_init', for using the
+   calibration of deep parameters and the elements of the covariance matrix
+   specified in the `shocks' block as starting values for the estimation.
+
+ - New option `save_draws' of the `ms_simulation' command.
+
+ - New option `irf_plot_threshold' of the `stoch_simul' and `estimation'
+   commands, for a better control of the display of IRFs which are almost nil.
+
+ - New option `long_name' for endogenous, exogenous and parameter declarations,
+   which can be used to declare a long name for variables. That long name can
+   be programmatically retrieved in `M_.endo_names_long'.
+
+
+* Miscellaneous changes
+
+ - The deciles of some posterior moments were erroneously saved in a field
+   `Distribution' under `oo_'. This field is now called `deciles', for
+   consistency with other posterior moments and with the manual. Similarly, the
+   fields `Mean', `Median', `HPDsup', `HPDinf', and `Variance' are now
+   consistently capitalized.
+
+ - The console mode now implies the `nodisplay' option.
+
+
+* Bugs and problems identified in version 4.3.3 and that have been fixed in
+  version 4.4.0:
+
+ - In an `endval' block, auxiliary variables were not given the right value.
+   This would not result in wrong results, but could prevent convergence of
+   the steady state computation.
+
+ - Deterministic simulations with `stack_solve_algo=0' (the default value) were
+   crashing if some exogenous had a lag strictly greater than 1.
+
+ - When using the `mode_file' option, the initial estimation checks were not
+   performed for the loaded mode, but for the original starting values. Thus,
+   potential prior violations by the mode only appeared during estimation,
+   leading to potentially cryptic crashes and error messages.
+
+ - If a shock/measurement error variance was set to 0 in calibration, the
+   correlation matrix featured a 0 instead of a 1 on the diagonal, leading to
+   wrong estimation results.
+
+ - In the presence of calibrated covariances, estimation did not enforce
+   positive definiteness of the covariance matrix.
+
+ - Estimation using the `diffuse_filter' option together with the univariate
+   Kalman filter and a diagonal measurement error matrix was broken.
+
+ - A purely backward model with `k_order_solver' was leading to crashes of
+   MATLAB/Octave.
+
+ - Non-linear estimation was not skipping the specified presample when
+   computing the likelihood.
+
+ - IRFs and theoretical moments at order > 1 were broken for purely
+   forward-looking models.
+
+ - Simulated moments with constant variables was leading to crashes when
+   displaying autocorrelations.
+
+ - The `osr' command was sometimes crashing with cryptic error messages because
+   of some unaccounted error codes returned from a deeper routine.
+
+ - The check for stochastic singularity during initial estimation checks was
+   broken.
+
+ - Recursive estimation starting with the pathological case of `nobs=1' was
+   crashing.
+
+ - Conditional variance decomposition within or after estimation was crashing
+   when at least one shock had been calibrated to zero variance.
+
+ - The `estimated_params_init' and `estimated_params_bounds' blocks were broken
+   for correlations.
+
+ - The `filter_step_ahead' option was not producing any output in Bayesian
+   estimation.
+
+ - Deterministic simulations were sometimes erroneously indicating convergence
+   although the residuals were actually NaN or Inf.
+
+ - Supplying a user function in the `mode_compute' option was leading to
+   a crash.
+
+ - Deterministic simulation of models without any exogenous variable was
+   crashing.
+
+ - The MS-SBVAR code was not updating files between runs on Windows. This means
+   that if a MOD file was updated between runs in the same folder and a
+   `file_tag' was not changed, then the results would not change.
+
+
+* References:
+
+ - Andreasen, Martin M., Jesús Fernández-Villaverde, and Juan Rubio-Ramírez
+   (2013): “The Pruned State-Space System for Non-Linear DSGE Models: Theory
+   and Empirical Applications,” NBER Working Paper, 18983
+
+ - Cardoso, Margarida F., R. L. Salcedo and S. Feyo de Azevedo (1996): “The
+   simplex simulated annealing approach to continuous non-linear optimization,”
+   Computers chem. Engng, 20(9), 1065-1080
+
+ - Christiano, Lawrence J., Mathias Trabandt and Karl Walentin (2011):
+   “Introducing financial frictions and unemployment into a small open economy
+   model,” Journal of Economic Dynamics and Control, 35(12), 1999-2041
+
+ - Geweke, John (1992): “Evaluating the accuracy of sampling-based approaches
+   to the calculation of posterior moments,” in J.O. Berger, J.M. Bernardo,
+   A.P. Dawid, and A.F.M. Smith (eds.) Proceedings of the Fourth Valencia
+   International Meeting on Bayesian Statistics, pp. 169-194, Oxford University
+   Press
+
+ - Geweke, John (1999): “Using simulation methods for Bayesian econometric
+   models: Inference, development and communication,” Econometric Reviews,
+   18(1), 1-73
+
+
 Announcement for Dynare 4.3.3 (on 2013-04-12)
 =============================================