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prt_tsmat(

prints tsmats or a comparison between3 of them

CALLING SEQUENCE

prt_tsmat(type_prt,bounds_prt,db,vari,nseriespertab,out)

PARAMETERS

Input

* type_prt = 'pcer', 'diff', 'level', 'growth rate'

   - 'pcer' = calculate the percentage differences between the db with repsect to the first one

   - 'diff' = calculate the differences between the db with repsect to the first one

   - 'level' = presents the databases one by one

   - 'growth rate' = presents the growth rate of the chosen variables in the databases one by one

* bounds_prt = a string vetor of even size or of size 1

* db =

   - a list of tsmat

   - or a string vector of names of tsmast between quotes

   - or a tsmat

* vari = a matrix of strings containing elements among these:

   - names of variables existing in the tsmat(s)

   - the keyword 'all' if you want to print all variables (note: if you want to display the values of peculiar types of variables frome a model (say mymodel), such as 'endogenous', 'exoegnous' or 'residuals', then enter mymodel('name endo'), etc.)

* nseriespertab = a scalar, the maximum #of series you want to be displayed at a time (optional argument: if not given, then all series are displayed in the same tab, whcich may lead to a very large tab)

* nseriespertab = a scalar, the maximum # of series you want to be displayed at a time (optional argument: if not given, the all series are displayed in the same tab, whcich may lead to a veyr large tab)

Output

* nothing: all results are sent to the output file

DESCRIPTION

prints the data from 1 or more tsmat; this is in paticular suited to results from model simulations.

EXAMPLE

// load the database associated to the "small" model:
global GROCERDIR;
load(GROCERDIR+'\data\small_db.dat')
// print the values of the variables demon, time, trim and trim2 in this database for the
// period 1990q1 to 2006q4
prt_tsmat('level',['1990q1';'2006q4'],list('small_db'),['demmon';'time';'trim1';'trim2'])
// print the growth rate of the variables demon, td_pib1, td_pib3 and td_pib5 in this database for the
// period 2006q1 to 2007q4
prt_tsmat('growth rate',['1990q1';'2006q4'],list('small_db'),['demmon';'td_pib1';'td_pib3';'td_pib5'])

load(GROCERDIR+'\data\small.dat')
// load the database small_db
// simulate the small model with database small_db from 1981q1 to 2006q4, keeping
// the data from 1978q1 and using the lagged endogenous variables as starting values
sim_histo=simulate(small,small_db,'1981q1','2006q4',1,'1978q1','2006q4') 
// display the comparison of simulation results with the original database small_db
// for variables td_pib1 and td_pib3 
prt_tsmat('pcer',['1990q1';'2006q4'],list('small_db','sim_histo(''simulation results'')'),['td_pib1','td_pib3'])

AUTHOR

Éric Dubois 2020-2021

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