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Provides posterior mean, standard deviations, as well as 5 and 95 percentiles of the parameters for all C countries.

Usage

# S3 method for class 'PosteriorBVARGROUPPRIORPANEL'
summary(object, ...)

Arguments

object

an object of class PosteriorBVARGROUPPRIORPANEL obtained using the estimate() function applied to Vector Autoregressions containing draws from the posterior distribution of the parameters.

...

additional arguments affecting the summary produced.

Value

A list reporting the posterior mean, standard deviations, as well as 5 and 95 percentiles of the country-specific parameters.

Author

Tomasz Woźniak wozniak.tom@pm.me

Examples

# specify the model
specification = specify_bvarGroupPriorPANEL$new(
      data = ilo_dynamic_panel[1:5],
      group_allocation = country_grouping_region[1:5]
)
#> Country groupings have been pre-specified and will not be estimated.
burn_in       = estimate(specification, 5)             # run the burn-in
#> **************************************************|
#>  bpvars: Forecasting with Bayesian Panel VARs     |
#> **************************************************|
#>  Progress of the MCMC simulation for 5 draws
#>     Every draw is saved via MCMC thinning
#>  Press Esc to interrupt the computations
#> **************************************************|
posterior     = estimate(burn_in, 5)                   # estimate the model
#> **************************************************|
#>  bpvars: Forecasting with Bayesian Panel VARs     |
#> **************************************************|
#>  Progress of the MCMC simulation for 5 draws
#>     Every draw is saved via MCMC thinning
#>  Press Esc to interrupt the computations
#> **************************************************|
summary(posterior)
#> $AFG
#> $AFG$Sigma
#> $AFG$Sigma$equation1
#>                   mean           sd 5% quantile 95% quantile
#> Sigma[1,1] 0.007627532 0.0008213695 0.006575333  0.008397889
#> 
#> $AFG$Sigma$equation2
#>                   mean         sd 5% quantile 95% quantile
#> Sigma[2,1] -0.01235917 0.01080069 -0.02303179  0.001529326
#> Sigma[2,2]  0.21389393 0.03810738  0.17166743  0.257347105
#> 
#> $AFG$Sigma$equation3
#>                   mean         sd   5% quantile 95% quantile
#> Sigma[3,1]  0.01815777 0.01368882  0.0002807008   0.03073048
#> Sigma[3,2] -0.21011955 0.05999125 -0.2790226552  -0.13970665
#> Sigma[3,3]  0.43634773 0.08693276  0.3240864254   0.51626704
#> 
#> $AFG$Sigma$equation4
#>                   mean         sd   5% quantile 95% quantile
#> Sigma[4,1]  0.01402614 0.01121451 -0.0006157591   0.02409723
#> Sigma[4,2] -0.14412683 0.05540220 -0.2036250587  -0.07725317
#> Sigma[4,3]  0.39849640 0.08880027  0.2820844287   0.47536996
#> Sigma[4,4]  0.38883452 0.09407559  0.2652455281   0.47693647
#> 
#> 
#> $AFG$A
#> $AFG$A$equation1
#>                 mean         sd 5% quantile 95% quantile
#> lag1_var1  0.9951266 0.02227971   0.9670484    1.0184491
#> lag1_var2 -0.2306647 0.07246837  -0.3085457   -0.1422662
#> lag1_var3 -0.4145206 0.14779847  -0.5961156   -0.2531867
#> lag1_var4  0.3459569 0.12743688   0.2138449    0.5062183
#> const      3.6846623 0.93494504   2.5960566    4.7555378
#> 
#> $AFG$A$equation2
#>                 mean        sd 5% quantile 95% quantile
#> lag1_var1  0.3640187 0.2419375  0.09367528    0.6545226
#> lag1_var2 -0.2173595 0.5619912 -0.89971543    0.2563327
#> lag1_var3 -2.6916705 0.9786887 -3.77817445   -1.6461751
#> lag1_var4  2.3760723 0.8148170  1.43573523    3.2189026
#> const      6.2371716 6.0180981 -1.17999352   12.4300476
#> 
#> $AFG$A$equation3
#>                  mean        sd 5% quantile 95% quantile
#> lag1_var1 -0.06598741 0.3912716  -0.5391235    0.3207637
#> lag1_var2  1.20537663 0.9321467   0.1270455    2.1806494
#> lag1_var3  4.59651768 1.6833915   2.6542686    6.2925330
#> lag1_var4 -3.36407513 1.4143436  -4.7813095   -1.7332448
#> const     -5.69372771 7.3735860 -11.7249795    3.9597253
#> 
#> $AFG$A$equation4
#>                  mean        sd 5% quantile 95% quantile
#> lag1_var1  0.08286471 0.3331556  -0.3166317    0.4115098
#> lag1_var2  1.21197353 0.8247160   0.2428190    2.0327322
#> lag1_var3  3.69196375 1.5365071   1.9005459    5.2200469
#> lag1_var4 -2.45691990 1.3106669  -3.7759005   -0.9280339
#> const     -8.87153604 6.4514920 -14.4033335   -0.6702584
#> 
#> 
#> 
#> $AGO
#> $AGO$Sigma
#> $AGO$Sigma$equation1
#>                  mean          sd 5% quantile 95% quantile
#> Sigma[1,1] 0.01215445 0.001204212  0.01097825   0.01370659
#> 
#> $AGO$Sigma$equation2
#>                   mean          sd 5% quantile 95% quantile
#> Sigma[2,1] -0.04100386 0.007435712 -0.04695421  -0.03093713
#> Sigma[2,2]  0.26967579 0.019663752  0.24285412   0.28359243
#> 
#> $AGO$Sigma$equation3
#>                   mean         sd 5% quantile 95% quantile
#> Sigma[3,1]  0.06060684 0.01462650  0.04768953   0.07988096
#> Sigma[3,2] -0.30657203 0.07849525 -0.39683338  -0.21602326
#> Sigma[3,3]  0.67215355 0.18680262  0.44934899   0.87937209
#> 
#> $AGO$Sigma$equation4
#>                   mean         sd 5% quantile 95% quantile
#> Sigma[4,1]  0.02902752 0.01478212  0.01691746   0.04905146
#> Sigma[4,2] -0.09854709 0.08077054 -0.20297206  -0.02071416
#> Sigma[4,3]  0.48593551 0.15255575  0.29872035   0.65138902
#> Sigma[4,4]  0.47191921 0.11955581  0.31475741   0.57156438
#> 
#> 
#> $AGO$A
#> $AGO$A$equation1
#>                 mean         sd 5% quantile 95% quantile
#> lag1_var1  1.1281003 0.04213245   1.0824376    1.1799355
#> lag1_var2 -0.7799815 0.07401686  -0.8697331   -0.6991907
#> lag1_var3 -1.1254059 0.09886800  -1.2291751   -1.0030257
#> lag1_var4  1.0124054 0.08511956   0.9111565    1.1081627
#> const      4.1743059 1.57347473   2.1773770    5.6981626
#> 
#> $AGO$A$equation2
#>                 mean        sd 5% quantile 95% quantile
#> lag1_var1 -0.5405277 0.2102881  -0.7709605   -0.2837337
#> lag1_var2  2.7363772 0.3417515   2.4461658    3.1935160
#> lag1_var3  2.8262253 0.3542624   2.5103938    3.2869190
#> lag1_var4 -2.4717396 0.3469423  -2.9169396   -2.1349125
#> const     -6.8119137 5.5303288 -10.9769146    0.7507629
#> 
#> $AGO$A$equation3
#>                 mean        sd 5% quantile 95% quantile
#> lag1_var1  0.4073657 0.2751185  0.06336644    0.6833553
#> lag1_var2 -0.7201337 0.3757071 -1.16543646   -0.2958320
#> lag1_var3 -1.0040500 0.5448755 -1.54246260   -0.3422515
#> lag1_var4  1.5750469 0.4130516  1.08865531    2.0283388
#> const      9.4271081 7.5122347  1.78077897   18.9199133
#> 
#> $AGO$A$equation4
#>                 mean        sd 5% quantile 95% quantile
#> lag1_var1 -0.1392188 0.1602130  -0.3310143    0.0345427
#> lag1_var2  1.4091008 0.3174521   1.0033459    1.7149752
#> lag1_var3  1.2052115 0.5559400   0.4802997    1.7109349
#> lag1_var4 -0.2762818 0.4267887  -0.6676275    0.2825387
#> const      0.8766011 5.0892416  -3.4870580    7.7057224
#> 
#> 
#> 
#> $ALB
#> $ALB$Sigma
#> $ALB$Sigma$equation1
#>                   mean          sd 5% quantile 95% quantile
#> Sigma[1,1] 0.004140899 0.001808119 0.002225693  0.006378346
#> 
#> $ALB$Sigma$equation2
#>                  mean        sd 5% quantile 95% quantile
#> Sigma[2,1] -0.0877453 0.0444828  -0.1312959  -0.03073044
#> Sigma[2,2]  7.0270542 2.2366455   3.9460824   8.60234334
#> 
#> $ALB$Sigma$equation3
#>                   mean         sd 5% quantile 95% quantile
#> Sigma[3,1]  0.02738693 0.03284894 -0.01090023   0.06556812
#> Sigma[3,2] -3.60577138 0.95928469 -4.53960089  -2.37399117
#> Sigma[3,3]  4.16450244 0.51323719  3.58608349   4.63827501
#> 
#> $ALB$Sigma$equation4
#>                   mean         sd 5% quantile 95% quantile
#> Sigma[4,1] -0.03235271 0.02218456  -0.0598724  -0.01009231
#> Sigma[4,2]  1.20271355 1.24131991   0.0294814   2.68925557
#> Sigma[4,3]  2.10931231 0.79896614   1.3865087   3.17033609
#> Sigma[4,4]  3.44960343 0.62322419   2.8276321   4.14768621
#> 
#> 
#> $ALB$A
#> $ALB$A$equation1
#>                  mean         sd 5% quantile 95% quantile
#> lag1_var1  0.90754249 0.01893303  0.88775583   0.93138065
#> lag1_var2  0.02549703 0.05347974 -0.04163101   0.08069194
#> lag1_var3  0.04112416 0.08493795 -0.06358530   0.13201474
#> lag1_var4 -0.03674649 0.07491012 -0.11580075   0.05639963
#> const      1.88549096 0.61046338  1.18655678   2.57628626
#> 
#> $ALB$A$equation2
#>                 mean         sd 5% quantile 95% quantile
#> lag1_var1 -1.2620296  0.9009241  -2.4324761   -0.4159973
#> lag1_var2  2.1628008  1.4653621   0.4594416    3.6458115
#> lag1_var3  2.7087869  2.2825824   0.1193966    5.1016331
#> lag1_var4 -2.0954930  2.0105405  -4.0783245    0.2052769
#> const     -0.9276599 13.1465009 -18.7675293    9.7177882
#> 
#> $ALB$A$equation3
#>                mean       sd 5% quantile 95% quantile
#> lag1_var1  1.428536 1.331369   0.4326927    3.2357938
#> lag1_var2 -1.530331 1.771230  -3.7991959    0.2134580
#> lag1_var3 -1.892708 2.897856  -5.6330969    0.8402726
#> lag1_var4  2.207700 2.405969  -0.1173345    5.3010099
#> const      5.038840 6.644731  -1.5405344   13.5765783
#> 
#> $ALB$A$equation4
#>                 mean        sd  5% quantile 95% quantile
#> lag1_var1  0.5558824  1.295962  -0.47491600    2.0405187
#> lag1_var2 -0.4763303  1.268278  -2.20261050    0.4776451
#> lag1_var3 -0.6023810  2.093000  -3.47510036    0.9044910
#> lag1_var4  1.3838158  1.794771   0.04053706    3.8282852
#> const      1.8695293 16.414849 -20.25105712   15.8516472
#> 
#> 
#> 
#> $ARE
#> $ARE$Sigma
#> $ARE$Sigma$equation1
#>                   mean          sd 5% quantile 95% quantile
#> Sigma[1,1] 0.009746016 0.004175263 0.005275342   0.01439877
#> 
#> $ARE$Sigma$equation2
#>                    mean          sd  5% quantile 95% quantile
#> Sigma[2,1] -0.002041167 0.005388248 -0.009383922  0.001726181
#> Sigma[2,2]  0.152655222 0.015193633  0.137644651  0.171111596
#> 
#> $ARE$Sigma$equation3
#>                     mean         sd  5% quantile 95% quantile
#> Sigma[3,1] -0.0009247672 0.00713337 -0.009018875  0.007567599
#> Sigma[3,2] -0.1561467609 0.04422371 -0.191961314 -0.100581987
#> Sigma[3,3]  0.3333043738 0.06447008  0.267028822  0.414308826
#> 
#> $ARE$Sigma$equation4
#>                   mean          sd  5% quantile 95% quantile
#> Sigma[4,1] -0.00210691 0.004278509 -0.007302843  0.002546514
#> Sigma[4,2] -0.03741508 0.035491695 -0.069591872  0.007749333
#> Sigma[4,3]  0.21734252 0.043865339  0.172621052  0.271718748
#> Sigma[4,4]  0.19420536 0.044771286  0.150985939  0.247512784
#> 
#> 
#> $ARE$A
#> $ARE$A$equation1
#>                 mean         sd 5% quantile 95% quantile
#> lag1_var1  0.7977279 0.06362957   0.7293812    0.8755156
#> lag1_var2  0.6232198 0.24871130   0.3007480    0.8614703
#> lag1_var3  0.7653128 0.26217305   0.4193456    1.0008846
#> lag1_var4 -0.7223564 0.25531894  -0.9675533   -0.3909716
#> const      1.9801484 0.39546219   1.6224654    2.5052520
#> 
#> $ARE$A$equation2
#>                 mean        sd 5% quantile 95% quantile
#> lag1_var1 -0.0624758 0.2301338  -0.3204277   0.17433425
#> lag1_var2  0.8895462 0.2959389   0.5382383   1.22222203
#> lag1_var3  0.5220708 0.3347830   0.1106692   0.88493890
#> lag1_var4 -0.4208969 0.3066945  -0.7371844  -0.03669539
#> const     -4.8647173 1.4480276  -6.6084829  -3.23824100
#> 
#> $ARE$A$equation3
#>                 mean        sd 5% quantile 95% quantile
#> lag1_var1  0.9859943 0.3030091   0.6362883    1.3022629
#> lag1_var2 -1.0982301 0.8032326  -2.1991754   -0.5473033
#> lag1_var3 -0.5316865 1.1581424  -2.1131191    0.1632980
#> lag1_var4  1.1367232 1.1001724   0.3684464    2.6423471
#> const      4.2794597 1.3278297   2.6882256    5.4008236
#> 
#> $ARE$A$equation4
#>                 mean        sd 5% quantile 95% quantile
#> lag1_var1  0.9030690 0.1432188   0.7245834    1.0422286
#> lag1_var2 -0.4930967 0.7017889  -1.4189351    0.1345079
#> lag1_var3 -0.2258685 1.0236079  -1.6109297    0.4898118
#> lag1_var4  0.9329010 0.9935701   0.1826522    2.2663114
#> const     -0.3879181 0.9043786  -1.4972840    0.5837445
#> 
#> 
#> 
#> $ARG
#> $ARG$Sigma
#> $ARG$Sigma$equation1
#>                   mean          sd 5% quantile 95% quantile
#> Sigma[1,1] 0.004606352 0.002368888  0.00319309  0.007888042
#> 
#> $ARG$Sigma$equation2
#>                   mean        sd 5% quantile 95% quantile
#> Sigma[2,1] -0.09615459 0.0695162  -0.1886052  -0.03487084
#> Sigma[2,2]  5.18337250 3.4987749   2.7507252   9.98800992
#> 
#> $ARG$Sigma$equation3
#>                   mean         sd 5% quantile 95% quantile
#> Sigma[3,1]  0.08780247 0.05231466  0.05259581    0.1591726
#> Sigma[3,2] -3.23679917 2.03047215 -5.99629988   -1.8852245
#> Sigma[3,3]  3.15841472 1.33312685  2.24358443    4.9792893
#> 
#> $ARG$Sigma$equation4
#>                   mean         sd 5% quantile 95% quantile
#> Sigma[4,1]  0.03393080 0.01994409  0.01168094   0.05799322
#> Sigma[4,2] -0.09945354 0.33292617 -0.49603264   0.27226554
#> Sigma[4,3]  1.33969234 0.22630509  1.05259752   1.52404980
#> Sigma[4,4]  1.43940499 0.16822991  1.31464240   1.66937813
#> 
#> 
#> $ARG$A
#> $ARG$A$equation1
#>                  mean         sd 5% quantile 95% quantile
#> lag1_var1  0.90938921 0.01731469   0.8943765    0.9326562
#> lag1_var2  0.07941247 0.11633943  -0.0741143    0.1749062
#> lag1_var3  0.12739440 0.19215201  -0.1273843    0.2844670
#> lag1_var4 -0.12118326 0.18248229  -0.2690589    0.1211365
#> const      2.06170358 0.62880485   1.5715261    2.9052994
#> 
#> $ARG$A$equation2
#>                 mean         sd 5% quantile 95% quantile
#> lag1_var1 -1.2942012  0.7864183   -1.932435    -0.240503
#> lag1_var2  2.8701448  4.4310078   -1.549247     7.937608
#> lag1_var3  3.6628004  7.2781571   -3.639690    11.605187
#> lag1_var4 -3.0111904  6.7794369  -10.638680     3.626781
#> const     -0.9140532 26.9873270  -38.021094    18.464407
#> 
#> $ARG$A$equation3
#>                 mean        sd 5% quantile 95% quantile
#> lag1_var1  0.3969394  0.409685  0.04802605    0.9075709
#> lag1_var2  1.8953916  3.074518 -1.67961110    4.9771635
#> lag1_var3  3.6423033  5.021013 -2.40103125    8.6292879
#> lag1_var4 -2.9947814  4.785334 -7.64330709    2.8093610
#> const      7.7907625 15.028681 -8.06795653   26.5350930
#> 
#> $ARG$A$equation4
#>                 mean        sd 5% quantile 95% quantile
#> lag1_var1 -0.5226294 0.3536067  -0.8921708   -0.1137798
#> lag1_var2  3.8157572 1.3341290   2.3561158    5.3360338
#> lag1_var3  6.1423329 2.1042203   3.8421639    8.5084726
#> lag1_var4 -5.0292092 2.0882870  -7.2382278   -2.5664967
#> const      6.5138614 5.4976148   0.2788180   11.8089248
#> 
#> 
#>