diff --git a/configure.ac b/configure.ac index 6cb694aa45bffa5c09dda7596846154f090fa178..9a5d3e56c77e63ba9399693c0e2d75cc0e67dcb7 100644 --- a/configure.ac +++ b/configure.ac @@ -174,6 +174,7 @@ AC_CONFIG_FILES([Makefile doc/userguide/Makefile doc/parallel/Makefile doc/internals/Makefile + doc/gsa/Makefile tests/Makefile matlab/dynare_version.m windows/dynare-version.nsi diff --git a/doc/Makefile.am b/doc/Makefile.am index cd1b4dfae18692120aabf8dc1edb6eb99e9b6747..70bec7dc8054610e62760e7bd18bdc1ccd1ab12f 100644 --- a/doc/Makefile.am +++ b/doc/Makefile.am @@ -1,4 +1,4 @@ -SUBDIRS = preprocessor macroprocessor userguide parallel internals +SUBDIRS = preprocessor macroprocessor userguide parallel internals gsa PDF_TARGETS = diff --git a/doc/gsa/Makefile.am b/doc/gsa/Makefile.am new file mode 100644 index 0000000000000000000000000000000000000000..5e99bf96f37b08878f801588446e7cedd8f55f24 --- /dev/null +++ b/doc/gsa/Makefile.am @@ -0,0 +1,18 @@ +if HAVE_PDFLATEX +if HAVE_BIBTEX +pdf-local: gsa.pdf +endif +endif + +SRC = gsa.tex marco.bib + +EXTRA_DIST = $(SRC) + +gsa.pdf: $(SRC) + $(PDFLATEX) gsa + $(BIBTEX) gsa + $(PDFLATEX) gsa + $(PDFLATEX) gsa + +clean-local: + rm -f *.pdf *.log *.aux *.toc *.lof *.blg *.bbl *.out *~ diff --git a/doc/gsa/dyn_tbx.aux b/doc/gsa/dyn_tbx.aux deleted file mode 100644 index 50cec3f0ae933f015179f3850b77d1bded803c1e..0000000000000000000000000000000000000000 --- a/doc/gsa/dyn_tbx.aux +++ /dev/null @@ -1,24 +0,0 @@ -\relax -\citation{Ratto_CompEcon_2008} -\@writefile{toc}{\contentsline {section}{\numberline {1}Introduction}{2}} -\newlabel{s:intro}{{1}{2}} -\@writefile{toc}{\contentsline {section}{\numberline {2}Use of the Toolbox}{2}} -\@writefile{toc}{\contentsline {section}{\numberline {3}List of options}{3}} -\@writefile{toc}{\contentsline {subsection}{\numberline {3.1}Sampling options}{3}} -\@writefile{toc}{\contentsline {subsection}{\numberline {3.2}Stability mapping}{3}} -\@writefile{toc}{\contentsline {subsection}{\numberline {3.3}Reduced form mapping}{4}} -\@writefile{toc}{\contentsline {subsection}{\numberline {3.4}Mapping the fit}{5}} -\citation{Iskrev2009} -\@writefile{toc}{\contentsline {subsection}{\numberline {3.5}Screening analysis}{6}} -\@writefile{toc}{\contentsline {subsection}{\numberline {3.6}Identification analysis (under development)}{6}} -\citation{Iskrev2009} -\@writefile{toc}{\contentsline {section}{\numberline {4}Directory structure}{8}} -\@writefile{toc}{\contentsline {subsection}{\numberline {4.1}Binary data files}{8}} -\@writefile{toc}{\contentsline {subsection}{\numberline {4.2}Stability analysis}{8}} -\@writefile{toc}{\contentsline {subsection}{\numberline {4.3}RMSE analysis}{9}} -\@writefile{toc}{\contentsline {subsection}{\numberline {4.4}Reduced form mapping}{10}} -\bibstyle{plainnat} -\bibdata{marco} -\bibcite{Iskrev2009}{{1}{2009}{{Iskrev}}{{}}} -\@writefile{toc}{\contentsline {subsection}{\numberline {4.5}Screening analysis}{11}} -\bibcite{Ratto_CompEcon_2008}{{2}{2008}{{Ratto}}{{}}} diff --git a/doc/gsa/dyn_tbx.bbl b/doc/gsa/dyn_tbx.bbl deleted file mode 100644 index 74d2e6a2c118d17a05dea5313c56a190b5365499..0000000000000000000000000000000000000000 --- a/doc/gsa/dyn_tbx.bbl +++ /dev/null @@ -1,18 +0,0 @@ -\begin{thebibliography}{2} -\providecommand{\natexlab}[1]{#1} -\providecommand{\url}[1]{\texttt{#1}} -\expandafter\ifx\csname urlstyle\endcsname\relax - \providecommand{\doi}[1]{doi: #1}\else - \providecommand{\doi}{doi: \begingroup \urlstyle{rm}\Url}\fi - -\bibitem[Iskrev(2009)]{Iskrev2009} -Nikolay Iskrev. -\newblock Local identification in \textsc{DSGE} models. -\newblock mimeo, 2009. - -\bibitem[Ratto(2008)]{Ratto_CompEcon_2008} -M.~Ratto. -\newblock Analysing dsge models with global sensitivity analysis. -\newblock \emph{Computational Economics}, 31:\penalty0 115--139, 2008. - -\end{thebibliography} diff --git a/doc/gsa/dyn_tbx.blg b/doc/gsa/dyn_tbx.blg deleted file mode 100644 index 49545423c27b613573a5331f1ada0783ea2d81e8..0000000000000000000000000000000000000000 --- a/doc/gsa/dyn_tbx.blg +++ /dev/null @@ -1,30 +0,0 @@ -This is BibTeX, Version 0.99cThe top-level auxiliary file: dyn_tbx.aux -The style file: plainnat.bst -Database file #1: marco.bib -I was expecting a `,' or a `}'---line 921 of file marco.bib - : - : pages = {}, -(Error may have been on previous line) -I'm skipping whatever remains of this entry -I was expecting a `,' or a `}'---line 1177 of file marco.bib - 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Fl(Nik)m(ola)m(y)34 b(Iskrev.)46 b(Lo)s(cal)32 b(iden)m(ti\014cation) -i(in)f Fa(DSGE)e Fl(mo)s(dels.)45 b(mimeo,)33 b(2009.)257 -995 y(M.)e(Ratto.)38 b(Analysing)32 b(dsge)f(mo)s(dels)g(with)f(global) -g(sensitivit)m(y)j(analysis.)41 b Fi(Computa-)355 1116 -y(tional)34 b(Ec)-5 b(onomics)p Fl(,)32 b(31:115{139,)e(2008.)1828 -5637 y(12)p eop end -%%Trailer - -userdict /end-hook known{end-hook}if -%%EOF diff --git a/doc/gsa/dyn_tbx.tex.bak b/doc/gsa/dyn_tbx.tex.bak deleted file mode 100644 index aeab7e56097f21ff8d13c3739deab98909608ad8..0000000000000000000000000000000000000000 --- a/doc/gsa/dyn_tbx.tex.bak +++ /dev/null @@ -1,486 +0,0 @@ -% ---------------------------------------------------------------- -% AMS-LaTeX Paper ************************************************ -% **** ----------------------------------------------------------- -\documentclass[12pt,a4paper]{article} -\usepackage{amssymb,amsmath} -\usepackage[dvips]{graphicx} -\usepackage{natbib} -\usepackage{psfrag} -\usepackage{setspace} -\usepackage{rotating} -%\singlespacing (interlinea singola) -%\onehalfspacing (interlinea 1,5) -%\doublespacing (interlinea doppia) - - -%\bibpunct{(}{)}{;}{a}{,}{,} -\bibpunct[, ]{(}{)}{;}{a}{,}{,} -%\pagestyle{headings} -% ---------------------------------------------------------------- -\begin{document} - -% ---------------------------------------------------------------- -\title{Sensitivity Analysis Toolbox for DYNARE}% - -\author{Marco Ratto\\ -European Commission, Joint Research Centre \\ -TP361, IPSC, via E. Fermi 1\\21020 Ispra -(VA) Italy\\ -\texttt{marco.ratto@jrc.it} -\thanks{The author gratefully thanks Christophe Planas, Kenneth Judd, Michel Juillard, -Alessandro Rossi, Frank Schorfheide and the participants to the -Courses on Global Sensitivity Analysis for Macroeconomic -Models (Ispra, 2006-2007-2008) for interesting discussions and -helpful suggestions.}} - -%%% To have the current date inserted, use \date{\today}: -%%% To insert a footnote, add thanks in the date/title/author fields: -\date{\today} -%\date{\today \thanks{Authors gratefully acknowledge the -%contribution by ... for ...}} -\maketitle %\tableofcontents - -%\doublespacing - -%----------------------------------------------------------------------- -\begin{abstract} -\noindent The Sensitivity Analysis Toolbox for DYNARE is a set of -MATLAB routines for the analysis of DSGE models with global -sensitivity analysis. The routines are thought to be used within -the DYNARE v4 environment. - - -\begin{description} - \item \textbf{Keywords}: Stability Mapping , Reduced form solution, DSGE models, - Monte Carlo filtering, Global Sensitivity Analysis. -\end{description} -\end{abstract} -\newpage -% ---------------------------------------------------------------- -\section{Introduction} \label{s:intro} -The Sensitivity Analysis Toolbox for DYNARE is a collection of -MATLAB routines implemented to answer the following questions: (i) -Which is the domain of structural coefficients assuring the -stability and determinacy of a DSGE model? (ii) Which parameters -mostly drive the fit of, e.g., GDP and which the fit of inflation? -Is there any conflict between the optimal fit of one observed -series versus another one? (iii) How to represent in a direct, -albeit approximated, form the relationship between structural -parameters and the reduced form of a rational expectations model? - -The discussion of the methodologies and their application is -described in \cite{Ratto_CompEcon_2008}. - - -\section{Use of the Toolbox} -The DYNARE parser now recognizes sensitivity analysis commands. -The syntax is based on a single command: -\vspace{0.5cm} - -\verb"dynare_sensitivity(option1=<opt1_val>,option2=<opt2_val>,...)" - -\vspace{0.5cm} \noindent with a list of options described in the -next section. - -With respect to the previous version of the toolbox, in order to -work properly, the sensitivity analysis Toolbox \emph{no longer} -needs that the DYNARE estimation environment is set-up. - -Therefore, \verb"dynare_sensitivity" is the only command to run to -make a sensitivity analysis on a DSGE model\footnote{Of course, -when the user needs to perform the mapping of the fit with a -posterior sample, a Bayesian estimation has to be performed -beforehand}. - - -\section{List of options} - -\subsection{Sampling options} -\begin{tabular}{r|l|l} - % after \\ : \hline or \cline{col1-col2} \cline{col3-col4} ... - option name & default & description \\ \hline - \verb"Nsam"& 2048& Size of MC sample \\ - \verb"ilptau"& 1& 1 = use $LP_\tau$ quasi-Monte Carlo \\ - & & 0 = use LHS Monte Carlo \\ - \verb"pprior"& 1& 1 = sample from prior distributions\\ - & & 0 = sample from multivariate - normal \\ - & & \hspace{0.5 cm} $N(\hat{\theta},\Sigma)$, $\hat{\theta}$ is posterior mode \\ - & & \hspace{0.5 cm} $\Sigma = H^{-1}$, $H$ is Hessian at the mode\\ - \verb"prior_range"& 1& 1 = sample \textit{uniformly} from prior ranges\\ - & & 0 = sample from prior distributions: \\ - & & this requires MATLAB Statistics Toolbox\\ - \verb"morris"& 0& 0 = no Morris sampling for screening \\ - & & 1 = Morris sampling for screening \\ - \verb"morris_nliv"& 6& number of levels in Morris design\\ - \verb"morris_ntra"& 20& number of trajectories in Morris design\\ - \verb"ppost"& 0& 0 = don't use Metropolis posterior sample\\ - & & 1 = use Metropolis posterior sample: this \\ - & & \hspace{0.5 cm} overrides any other sampling option! \\ \hline -\end{tabular} -\subsection{Stability mapping} -\begin{tabular}{r|l|l} - option name & default & description \\ \hline - \verb"stab"& 1& 1 = perform stability mapping \\ - & & 0 = no stability mapping is performed\\ - \verb"load_stab"& 0& 0 = generate a new sample\\ - & & 1 = load a previously created sample \\ - \verb"alpha2_stab"& 0.4& critical value for correlations $\rho$ in filtered samples:\\ - & & plot couples of parameters with \\ - & & $|\rho|>$\verb"alpha2_stab"\\ - \verb"ksstat"& 0.1& critical value for Smirnov statistics $d$: \\ - & & plot parameters with $d>$\verb"ksstat"\\ \hline -\end{tabular} - -\newpage -\subsection{Reduced form mapping}% and identification} -The mapping of the reduced form solution forces the use of samples -from prior ranges or prior distributions, i.e.: -\\ -\verb"options_.opt_gsa.pprior=1;"\\ -\verb"options_.opt_gsa.ppost=0;"\\ - -It uses 250 samples to optimize smoothing parameters and 1000 -samples to compute the fit. The rest of the sample is used for -out-of-sample validation. \vspace{0.5cm} - - -\begin{tabular}{r|l|l} - option name & default & description \\ \hline - \verb"redform"& 0& 0 = don't prepare MC sample of \\ - & & reduced form matrices \\ - & & 1 = prepare MC sample of \\ - & & reduced form matrices \\ - \verb"load_redform"& 0& 0 = estimate the mapping of \\ - & & reduced form model\\ - & & 1 = load previously estimated mapping\\ - \verb"logtrans_redform"& 0& 0 = use raw entries\\ - & & 1 = use log-transformed entries \\ - \verb"threshold_redform"& []& [] = don't filter MC entries \\ - & & of reduced form coefficients\\ - & & [\verb"max" \verb"max"] = analyse filtered \\ - & & entries within the range [\verb"max" \verb"max"] \\ - \verb"ksstat_redform"& 0.1& critical value for Smirnov statistics $d$ \\ - & & when reduced form entries are filtered\\ - \verb"alpha2_redform"& 0.3& critical value for correlation $\rho$ \\ - & & when reduced form entries are filtered\\ - \verb"namendo"& () & list of endogenous variables \\ - & : & jolly character to indicate ALL endogenous \\ - \verb"namlagendo"& () & list of lagged endogenous variables:\\ - & & analyse entries [\verb"namendo"$\times$\verb"namlagendo"]\\ - & : & jolly character to indicate ALL endogenous \\ - \verb"namexo"& ()& list of exogenous variables:\\ - & & analyse entries - [\verb"namendo"$\times$\verb"namexo"]\\ - & : & jolly character to indicate ALL exogenous \\\hline -\end{tabular} -\vspace{0.5cm} \\ - -One can also load a previously estimated mapping -with a new MC sample, to look at the forecast for the new MC sample.\\ - -\subsection{Mapping the fit} -The RMSE analysis can be performed with different types of -sampling options: -\begin{enumerate} -\item when \verb"pprior=1" and \verb"ppost=0", the Toolbox analyses the RMSE's for -the MC sample obtained by sampling parameters from their prior -distributions (or prior ranges): this analysis provides some hints -about what parameter drives the fit of which observed series, -prior to the full estimation; -\item when \verb"pprior=0" and \verb"ppost=0", the Toolbox analyses the RMSE's for -a multivariate normal MC sample, with covariance matrix based on -the inverse Hessian at the optimum: this analysis is useful when -ML estimation is done (i.e. no Bayesian estimation); -\item when \verb"ppost=1" the Toolbox analyses -the RMSE's for the posterior sample obtained by DYNARE's -Metropolis procedure. -\end{enumerate} - -The use of cases 2. and 3. requires an estimation step beforehand! -To facilitate the sensitivity analysis after estimation, the -\verb"dynare_sensitivity" command also allows to indicate some -options of \verb"dynare_estimation". These are: -\begin{itemize} - \item \verb"datafile" - \item \verb"mode_file" - \item \verb"first_obs" - \item \verb"nobs" - \item \verb"prefilter" - \item \verb"presample" - \item \verb"loglinear" -\end{itemize} - - - \vspace{1cm} - -\begin{tabular}{r|l|l} - option name & default & description \\ \hline - \verb"rmse"& 0& 0 = no RMSE analysis\\ - & & 1 = do RMSE analysis \\ - \verb"load_rmse"& 0& 0 = make a new RMSE analysis\\ - & & 1 = load previous RMSE analysis \\ - \verb"lik_only"& 0& 0 = compute RMSE's for all observed series\\ - & & 1 = compute only likelihood and posterior \\ - \verb"var_rmse"& varobs& list of observed series to be considered\\ - \verb"pfilt_rmse"& 0.1& filtering threshold for RMSE's: default it to\\ - & & filter the best 10\% for each observed series\\ - \verb"istart_rmse"& 1& start computing RMSE's from \verb"istart_rmse":\\ - & & use 2 to avoid big initial error \\ - \verb"alpha_rmse"& 0.002& critical value for Smirnov statistics $d$:\\ - & & plot parameters with $d>$\verb"alpha_rmse"\\ - \verb"alpha2_rmse"& 1& critical value for correlation $\rho$\\ - & & plot couples of parameters with - $|\rho|>$\verb"alpha2_rmse"\\ - \verb"glue"& 0& prepare for GLUE graphical interface\\\hline -\end{tabular} - -\subsection{Screening analysis} -The screening analysis does not require any additional options -with respect to those listed in the `Sampling options': -\verb"morris", \verb"morris_nliv", \verb"morris_ntra". The Toolbox -performs all the analyses required and displays results. - - -\subsection{Identification analysis (under development)} -Setting the option \verb"identification=1", an identification -analysis based on theoretical moments is performed. Sensitivity plots are provided that -allow to infer which parameters are most likely to be less -identifiable. - -Prerequisite for properly running all the identification routines, is the keyword -\verb"identification;" in the DYNARE model file. This keyword triggers the computation of analytic derivatives of the model with respect to estimated parameters and shocks. This is required for options \verb"morris=2" below, which implement \cite{Iskrev2009} identification analysis. -\vspace{1cm} - - -\begin{tabular}{r|l|l} - option name & default & description \\ \hline - \verb"identification"& 0 & 0 = no identification analysis \\ - & & 1 = performs identification analysis:\\ - & & this forces \verb"redform"=0 and default\verb"morris"=1\\ - \verb"morris"& 1 & 1 = Screening analysis (Type II error)\\ - & & 0 = ANOVA Mapping (Type I error)\\ - & & 2 = Analytic derivatives (similar to Type II error)\\ - \verb"morris_nliv"& 6 & number of levels in Morris design\\ - \verb"morris_ntra"& 20& number of trajectories in Morris design\\ - \verb"trans_ident"& 0 & data transformation for ANOVA Mapping\\ - & & 0 = no transformation\\ - & & 1 = log-transformation\\ - & & 2 = rank-transformation\\\hline -\end{tabular} - -\vspace{1cm} -\noindent For example, the following commands in the DYNARE model file - -\vspace{1cm} -\noindent\verb"identification;"\\ -\verb"dynare_sensitivity(identification=1, morris=2);" - -\vspace{1cm} -\noindent trigger the identification analysis using analytic derivatives \citep{Iskrev2009}, jointly with the mapping of the acceptable region. - -The identification analysis with derivatives can also be triggered by the commands - -\vspace{1cm} -\noindent\verb"identification;"\\ -\verb"dynare_identification;" - -\vspace{1cm} -This does not do the mapping of acceptable regions for the model and uses the standard random sampler of DYNARE. It completely offsets any use of the sensitivity analysis toolbox. -\newpage -\section{Directory structure} -Sensitivity analysis results are saved on the hard-disk of the -computer. The Toolbox uses a dedicated folder called \verb"GSA", -located in \\ -\\ -\verb"<DYNARE_file>\GSA", \\ -\\ -where \verb"<DYNARE_file>.mod" is the name of the DYNARE model -file. - -\subsection{Binary data files} -A set of binary data files is saved in the \verb"GSA" folder: -\begin{description} -\item[]\verb"<DYNARE_file>_prior.mat": this file stores -information about the analyses performed sampling from the prior -ranges, i.e. \verb"pprior=1" and \verb"ppost=0"; -\item[]\verb"<DYNARE_file>_mc.mat": this file stores -information about the analyses performed sampling from -multivariate normal, i.e. \verb"pprior=0" and \verb"ppost=0"; -\item[]\verb"<DYNARE_file>_post.mat": this file stores information -about analyses performed using the Metropolis posterior sample, -i.e. \verb"ppost=1". -\end{description} - -\begin{description} -\item[]\verb"<DYNARE_file>_prior_*.mat": these files store -the filtered and smoothed variables for the prior MC sample, -generated when doing RMSE analysis (\verb"pprior=1" and -\verb"ppost=0"); -\item[]\verb"<DYNARE_file>_mc_*.mat": these files store -the filtered and smoothed variables for the multivariate normal MC -sample, generated when doing RMSE analysis (\verb"pprior=0" and -\verb"ppost=0"). -\end{description} - -\subsection{Stability analysis} -Figure files \verb"<DYNARE_file>_prior_*.fig" store results for -the stability mapping from prior MC samples: -\begin{description} -\item[]\verb"<DYNARE_file>_prior_stab_SA_*.fig": plots of the Smirnov -test analyses confronting the cdf of the sample fulfilling -Blanchard-Kahn conditions with the cdf of the rest of the sample; -\item[]\verb"<DYNARE_file>_prior_stab_indet_SA_*.fig": plots of the Smirnov -test analyses confronting the cdf of the sample producing -indeterminacy with the cdf of the original prior sample; -\item[]\verb"<DYNARE_file>_prior_stab_unst_SA_*.fig": plots of the Smirnov -test analyses confronting the cdf of the sample producing unstable -(explosive roots) behaviour with the cdf of the original prior -sample; -\item[]\verb"<DYNARE_file>_prior_stable_corr_*.fig": plots of -bivariate projections of the sample fulfilling Blanchard-Kahn -conditions; -\item[]\verb"<DYNARE_file>_prior_indeterm_corr_*.fig": plots of -bivariate projections of the sample producing indeterminacy; -\item[]\verb"<DYNARE_file>_prior_unstable_corr_*.fig": plots of -bivariate projections of the sample producing instability; -\item[]\verb"<DYNARE_file>_prior_unacceptable_corr_*.fig": plots of -bivariate projections of the sample producing unacceptable -solutions, i.e. either instability or indeterminacy or the -solution could not be found (e.g. the steady state solution could -not be found by the solver). -\end{description} -Similar conventions apply for \verb"<DYNARE_file>_mc_*.fig" files, -obtained when samples from multivariate normal are used. - -\subsection{RMSE analysis} -Figure files \verb"<DYNARE_file>_rmse_*.fig" store results for the -RMSE analysis. -\begin{description} -\item[]\verb"<DYNARE_file>_rmse_prior*.fig": save results for -the analysis using prior MC samples; -\item[]\verb"<DYNARE_file>_rmse_mc*.fig": save results for -the analysis using multivariate normal MC samples; -\item[]\verb"<DYNARE_file>_rmse_post*.fig": save results for -the analysis using Metropolis posterior samples. -\end{description} - -The following types of figures are saved (we show prior sample to -fix ideas, but the same conventions are used for multivariate -normal and posterior): -\begin{description} -\item[]\verb"<DYNARE_file>_rmse_prior_*.fig": for each parameter, plots the cdf's -corresponding to the best 10\% RMES's of each observed series; -\item[]\verb"<DYNARE_file>_rmse_prior_dens_*.fig": for each parameter, plots the pdf's -corresponding to the best 10\% RMES's of each observed series; -\item[]\verb"<DYNARE_file>_rmse_prior_<name of observedseries>_corr_*.fig": for each observed series plots the -bi-dimensional projections of samples with the best 10\% RMSE's, -when the correlation is significant; -\item[]\verb"<DYNARE_file>_rmse_prior_lnlik*.fig": for each observed -series, plots \emph{in red} the cdf of the log-likelihood -corresponding to the best 10\% RMSE's, \emph{in green} the cdf of -the rest of the sample and \emph{in blue }the cdf of the full -sample; this allows to see the presence of some idiosyncratic -behaviour; -\item[]\verb"<DYNARE_file>_rmse_prior_lnpost*.fig": for each observed -series, plots \emph{in red} the cdf of the log-posterior -corresponding to the best 10\% RMSE's, \emph{in green} the cdf of -the rest of the sample and \emph{in blue }the cdf of the full -sample; this allows to see idiosyncratic behaviour; -\item[]\verb"<DYNARE_file>_rmse_prior_lnprior*.fig": for each observed -series, plots \emph{in red} the cdf of the log-prior corresponding -to the best 10\% RMSE's, \emph{in green} the cdf of the rest of -the sample and \emph{in blue }the cdf of the full sample; this -allows to see idiosyncratic behaviour; -\item[]\verb"<DYNARE_file>_rmse_prior_lik_SA_*.fig": when -\verb"lik_only=1", this shows the Smirnov tests for the filtering -of the best 10\% log-likelihood values; -\item[]\verb"<DYNARE_file>_rmse_prior_post_SA_*.fig": when -\verb"lik_only=1", this shows the Smirnov test for the filtering -of the best 10\% log-posterior values. -\end{description} - -\subsection{Reduced form mapping} -In the case of the mapping of the reduced form solution, synthetic -figures are saved in the \verb"\GSA" folder: - -\begin{description} -\item[]\verb"<DYNARE_file>_redform_<endo name>_vs_lags_*.fig": -shows bar charts of the sensitivity indices for the \emph{ten most -important} parameters driving the reduced form coefficients of the -selected endogenous variables (\verb"namendo") versus lagged -endogenous variables (\verb"namlagendo"); suffix \verb"log" -indicates the results for log-transformed entries; -\item[]\verb"<DYNARE_file>_redform_<endo name>_vs_shocks_*.fig": -shows bar charts of the sensitivity indices for the \emph{ten most -important} parameters driving the reduced form coefficients of the -selected endogenous variables (\verb"namendo") versus exogenous -variables (\verb"namexo"); suffix \verb"log" indicates the results -for log-transformed entries; -\item[]\verb"<DYNARE_file>_redform_GSA(_log).fig": shows bar chart of -all sensitivity indices for each parameter: this allows to notice -parameters that have a minor effect for \emph{any} of the reduced -form coefficients, -\end{description} - -Detailed results of the analyses are shown in the subfolder -\verb"\GSA\redform_stab", where the detailed results of the -estimation of the single functional relationships between -parameters $\theta$ and reduced form coefficient are stored in -separate directories named as: -\begin{description} -\item[]\verb"<namendo>_vs_<namlagendo>": for the entries of the -transition matrix; -\item[]\verb"<namendo>_vs_<namexo>": for entries of the matrix of -the shocks. -\end{description} -Moreover, analyses for log-transformed entries are denoted with -the following suffixes ($y$ denotes the generic reduced form -coefficient): -\begin{description} -\item[]\verb"log": $y^*=\log(y)$; -\item[]\verb"minuslog": $y^*=\log(-y)$; -\item[]\verb"logsquared": $y^*=\log(y^2)$ for symmetric fat tails; -\item[]\verb"logskew": $y^*=\log(|y+\lambda|)$ for asymmetric fat tails. -\end{description} -The optimal type of transformation is automatically selected -without the need of any user's intervention. - -\subsection{Screening analysis} -The results of the screening analysis with Morris sampling design -are stored in the subfolder \verb"\GSA\SCREEN". The data file -\verb"<DYNARE_file>_prior" stores all the information of the -analysis (Morris sample, reduced form coefficients, etc.). - -Screening analysis merely concerns reduced form coefficients. -Similar synthetic bar charts as for the reduced form analysis with -MC samples are saved: -\begin{description} -\item[]\verb"<DYNARE_file>_redform_<endo name>_vs_lags_*.fig": -shows bar charts of the elementary effect tests for the \emph{ten -most important} parameters driving the reduced form coefficients -of the selected endogenous variables (\verb"namendo") versus -lagged endogenous variables (\verb"namlagendo"); -\item[]\verb"<DYNARE_file>_redform_<endo name>_vs_shocks_*.fig": -shows bar charts of the elementary effect tests for the \emph{ten -most important} parameters driving the reduced form coefficients -of the selected endogenous variables (\verb"namendo") versus -exogenous variables (\verb"namexo"); -\item[]\verb"<DYNARE_file>_redform_screen.fig": shows bar chart of -all elementary effect tests for each parameter: this allows to -identify parameters that have a minor effect for \emph{any} of the -reduced form coefficients. -\end{description} - - -% ---------------------------------------------------------------- -\bibliographystyle{plainnat} -%\bibliographystyle{amsplain} -%\bibliographystyle{alpha} -\bibliography{marco} - -\newpage - - -\end{document} -% ---------------------------------------------------------------- diff --git a/doc/gsa/dyn_tbx.tex b/doc/gsa/gsa.tex similarity index 100% rename from doc/gsa/dyn_tbx.tex rename to doc/gsa/gsa.tex diff --git a/doc/gsa/marco.bib b/doc/gsa/marco.bib index 362f631ebb4b6b0539d779ac3274bf2ac999a3a6..a6fbcdd20956e139d28e76631259a763da23d7fb 100644 --- a/doc/gsa/marco.bib +++ b/doc/gsa/marco.bib @@ -1,1212 +1,8 @@ -@TECHREPORT{Adolfson2005, AUTHOR={Adolfson, Malin and Las�en, -Stefan and Lind�, Jesper and Villani, Mattias}, TITLE={Bayesian -Estimation of an Open Economy {DSGE} Model with Incomplete -Pass-Through}, YEAR=2005, MONTH=Mar, INSTITUTION={Sveriges -Riksbank (Central Bank of Sweden)}, TYPE={Working Paper Series}, -NOTE={available at http://ideas.repec.org/p/hhs/rbnkwp/0179.html}, -NUMBER={179} } - -@BOOK{Bard_1974, - author = {Bard, Y.}, - title = {Nonlinear parameter estimation}, - publisher = {Academic Press}, - year = {1974}, - address = {New York}, -} - -@ARTICLE{Bayarri2007Technom, - author = {Bayarri, M. 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E. Sc.D., et al.}, - title = {Healthy Women, Healthy Lives: A Guide to Preventing Disease, form the Landmark Nurses' Health Study}, - publisher = {Free Press}, - year = {2001}, -} - -@BOOK{kn:Biometry, - author = {Sokal, R. R. and James, R. F.}, - title = {Biometry}, - publisher = {W.H. Freeman and Company}, - year = {1994}, - address = {New York}, -} - -@BOOK{kn:CRC, - editor = {Colbourn, C.J. and Dinitz, J.H.}, - title = {\textsc{CRC} Handbook of Combinatorial Designs}, - publisher = {CRC Press}, - year = {1996}, -} - -@BOOK{kn:Press, - author = {Press, W. H. and Teukolsky, S.A. and Vetterling, W. T. and Flannery, B. P. }, - title = {Numerical Recipes in Fortran 77: The Art of Scientific Computing}, - edition = {Second}, - volume = {1}, - publisher = {Cambridge University Press}, - year = {1997}, - address = {New York}, -} - -@BOOK{kn:Fixx, - author = {Fixx, J. F. }, - title = {Games for the Super Intelligent}, - publisher = {Doubleday \& Co. Inc.}, - year = {1972}, - address = {Garden City, NY}, -} - -@ARTICLE{kn:Andres, - author = { Andres, T.H.}, - title = {Sampling methods and sensitivity analysis for large. parameter sets}, - journal = {J Stat Comput Simul}, - year = {1997}, - volume = {57}, - pages = {77--110}, -} diff --git a/windows/dynare.nsi b/windows/dynare.nsi index f56fbd80ffb0f3a8e4b4198917a68d58d02a24a3..d314893773ff7d8f4e9d823207fcfd4686b16532 100644 --- a/windows/dynare.nsi +++ b/windows/dynare.nsi @@ -120,7 +120,7 @@ SectionEnd Section "Documentation and examples (Dynare and Dynare++)" SetOutPath $INSTDIR\doc - File ..\doc\manual.pdf ..\doc\guide.pdf ..\doc\userguide\UserGuide.pdf ..\doc\bvar-a-la-sims.pdf ..\doc\dr.pdf ..\doc\macroprocessor\macroprocessor.pdf ..\doc\preprocessor\preprocessor.pdf ..\doc\parallel\parallel.pdf + File ..\doc\manual.pdf ..\doc\guide.pdf ..\doc\userguide\UserGuide.pdf ..\doc\bvar-a-la-sims.pdf ..\doc\dr.pdf ..\doc\macroprocessor\macroprocessor.pdf ..\doc\preprocessor\preprocessor.pdf ..\doc\parallel\parallel.pdf ..\doc\gsa\gsa.pdf SetOutPath $INSTDIR\doc\manual-html File ..\doc\manual-html\*.html