Essential use of BeforeIT
We start by importing the BeforeIT library and other useful libraries.
import BeforeIT as Bit
using FileIO, PlotsWe then initialise the model loading some precomputed set of parameters and by specifying a number of epochs. In another tutorial we will illustrate how to compute parameters and initial conditions.
parameters = Bit.AUSTRIA2010Q1.parameters
initial_conditions = Bit.AUSTRIA2010Q1.initial_conditionsDict{String, Any} with 21 entries:
"sb_inact" => 2.23847
"C_G" => [11482.3; 11556.2; … ; 14578.2; 14714.8;;]
"E_CB" => 1.0618e5
"D_RoW" => 0.0
"sb_other" => 0.590286
"L_I" => 236919.0
"omega" => 0.85
"r_bar" => 0.00164593
"N_s" => [123.0; 18.0; … ; 5.0; 60.0;;]
"C_E" => [17384.5; 17752.9; … ; 38786.7; 38617.8;;]
"D_H" => 219841.0
"K_H" => 4.05377e5
"L_G" => 2.32611e5
"pi" => [-0.00749736; -0.00789543; … ; 0.00530319; 0.00100796;;]
"w_UB" => 4.06546
"Y" => [1.04531e5; 1.05062e5; … ; 1.35709e5; 1.34636e5;;]
"Y_I" => [19804.6; 19944.1; … ; 36883.2; 36575.9;;]
"Y_EA" => 2.35485e6
"D_I" => 54049.0
⋮ => ⋮We can now initialise the model, by specifying in advance the maximum number of epochs.
T = 16
model = Bit.init_model(parameters, initial_conditions, T)Model(Workers{Vector{Float64}, Vector{Int64}}([0.7661282859097249, 0.7661282859097249, 0.7661282859097249, 0.7661282859097249, 0.7661282859097249, 0.7661282859097249, 0.7661282859097249, 0.7661282859097249, 0.7661282859097249, 0.7661282859097249 … 4.655745607447569, 4.655745607447569, 4.655745607447569, 4.655745607447569, 4.655745607447569, 4.655745607447569, 4.655745607447569, 4.655745607447569, 4.655745607447569, 4.655745607447569], [3.781806633594486, 3.781806633594486, 3.781806633594486, 3.781806633594486, 3.781806633594486, 3.781806633594486, 3.781806633594486, 3.781806633594486, 3.781806633594486, 3.781806633594486 … 22.981960001210954, 22.981960001210954, 22.981960001210954, 22.981960001210954, 22.981960001210954, 22.981960001210954, 22.981960001210954, 22.981960001210954, 22.981960001210954, 22.981960001210954], [6.973481059156248, 6.973481059156248, 6.973481059156248, 6.973481059156248, 6.973481059156248, 6.973481059156248, 6.973481059156248, 6.973481059156248, 6.973481059156248, 6.973481059156248 … 42.377698887900316, 42.377698887900316, 42.377698887900316, 42.377698887900316, 42.377698887900316, 42.377698887900316, 42.377698887900316, 42.377698887900316, 42.377698887900316, 42.377698887900316], [0.2697101055708983, 0.2697101055708983, 0.2697101055708983, 0.2697101055708983, 0.2697101055708983, 0.2697101055708983, 0.2697101055708983, 0.2697101055708983, 0.2697101055708983, 0.2697101055708983 … 11.337587012313522, 11.337587012313522, 11.337587012313522, 11.337587012313522, 11.337587012313522, 11.337587012313522, 11.337587012313522, 11.337587012313522, 11.337587012313522, 11.337587012313522], [1, 2, 3, 3, 3, 3, 3, 3, 3, 3 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]), Workers{Vector{Float64}, Vector{Int64}}([2.8287542404944714, 2.8287542404944714, 2.8287542404944714, 2.8287542404944714, 2.8287542404944714, 2.8287542404944714, 2.8287542404944714, 2.8287542404944714, 2.8287542404944714, 2.8287542404944714 … 2.8287542404944714, 2.8287542404944714, 2.8287542404944714, 2.8287542404944714, 2.8287542404944714, 2.8287542404944714, 2.8287542404944714, 2.8287542404944714, 2.8287542404944714, 2.8287542404944714], [13.963459838592982, 13.963459838592982, 13.963459838592982, 13.963459838592982, 13.963459838592982, 13.963459838592982, 13.963459838592982, 13.963459838592982, 13.963459838592982, 13.963459838592982 … 13.963459838592982, 13.963459838592982, 13.963459838592982, 13.963459838592982, 13.963459838592982, 13.963459838592982, 13.963459838592982, 13.963459838592982, 13.963459838592982, 13.963459838592982], [25.747990878149768, 25.747990878149768, 25.747990878149768, 25.747990878149768, 25.747990878149768, 25.747990878149768, 25.747990878149768, 25.747990878149768, 25.747990878149768, 25.747990878149768 … 25.747990878149768, 25.747990878149768, 25.747990878149768, 25.747990878149768, 25.747990878149768, 25.747990878149768, 25.747990878149768, 25.747990878149768, 25.747990878149768, 25.747990878149768], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1 … -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]), Firms{Vector{Float64}, Vector{Int64}}([1, 1, 1, 1, 1, 1, 1, 1, 1, 1 … 62, 62, 62, 62, 62, 62, 62, 62, 62, 62], [10.822026659306621, 10.822026659306621, 10.822026659306621, 10.822026659306621, 10.822026659306621, 10.822026659306621, 10.822026659306621, 10.822026659306621, 10.822026659306621, 10.822026659306621 … 11.988103388298951, 11.988103388298951, 11.988103388298951, 11.988103388298951, 11.988103388298951, 11.988103388298951, 11.988103388298951, 11.988103388298951, 11.988103388298951, 11.988103388298951], [1.6631751855300485, 1.6631751855300485, 1.6631751855300485, 1.6631751855300485, 1.6631751855300485, 1.6631751855300485, 1.6631751855300485, 1.6631751855300485, 1.6631751855300485, 1.6631751855300485 … 3.4759574544453877, 3.4759574544453877, 3.4759574544453877, 3.4759574544453877, 3.4759574544453877, 3.4759574544453877, 3.4759574544453877, 3.4759574544453877, 3.4759574544453877, 3.4759574544453877], [0.042702129272078754, 0.042702129272078754, 0.042702129272078754, 0.042702129272078754, 0.042702129272078754, 0.042702129272078754, 0.042702129272078754, 0.042702129272078754, 0.042702129272078754, 0.042702129272078754 … 0.17805766706016946, 0.17805766706016946, 0.17805766706016946, 0.17805766706016946, 0.17805766706016946, 0.17805766706016946, 0.17805766706016946, 0.17805766706016946, 0.17805766706016946, 0.17805766706016946], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.2697101055708983, 0.2697101055708983, 0.2697101055708983, 0.2697101055708983, 0.2697101055708983, 0.2697101055708983, 0.2697101055708983, 0.2697101055708983, 0.2697101055708983, 0.2697101055708983 … 2.6020133813757687, 2.6020133813757687, 2.6020133813757687, 2.6020133813757687, 2.6020133813757687, 2.6020133813757687, 2.6020133813757687, 2.6020133813757687, 2.6020133813757687, 2.6020133813757687], [0.011078553057541721, 0.011078553057541721, 0.011078553057541721, 0.011078553057541721, 0.011078553057541721, 0.011078553057541721, 0.011078553057541721, 0.011078553057541721, 0.011078553057541721, 0.011078553057541721 … 0.012425621091468782, 0.012425621091468782, 0.012425621091468782, 0.012425621091468782, 0.012425621091468782, 0.012425621091468782, 0.012425621091468782, 0.012425621091468782, 0.012425621091468782, 0.012425621091468782], [0.009528627732528832, 0.009528627732528832, 0.009528627732528832, 0.009528627732528832, 0.009528627732528832, 0.009528627732528832, 0.009528627732528832, 0.009528627732528832, 0.009528627732528832, 0.009528627732528832 … 0.010357147774366318, 0.010357147774366318, 0.010357147774366318, 0.010357147774366318, 0.010357147774366318, 0.010357147774366318, 0.010357147774366318, 0.010357147774366318, 0.010357147774366318, 0.010357147774366318], [-0.26105054841223635, -0.26105054841223635, -0.26105054841223635, -0.26105054841223635, -0.26105054841223635, -0.26105054841223635, -0.26105054841223635, -0.26105054841223635, -0.26105054841223635, -0.26105054841223635 … 0.013413693877270037, 0.013413693877270037, 0.013413693877270037, 0.013413693877270037, 0.013413693877270037, 0.013413693877270037, 0.013413693877270037, 0.013413693877270037, 0.013413693877270037, 0.013413693877270037], [1, 1, 13, 2, 2, 1, 1, 1, 1, 1 … 3, 2, 1, 1, 15, 1, 1, 2, 8, 8], [10.822026659306621, 10.822026659306621, 140.68634657098607, 21.644053318613242, 21.644053318613242, 10.822026659306621, 10.822026659306621, 10.822026659306621, 10.822026659306621, 10.822026659306621 … 35.96431016489685, 23.976206776597902, 11.988103388298951, 11.988103388298951, 179.82155082448426, 11.988103388298951, 11.988103388298951, 23.976206776597902, 95.90482710639161, 95.90482710639161], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [10.822026659306621, 10.822026659306621, 140.68634657098607, 21.644053318613242, 21.644053318613242, 10.822026659306621, 10.822026659306621, 10.822026659306621, 10.822026659306621, 10.822026659306621 … 35.96431016489685, 23.976206776597902, 11.988103388298951, 11.988103388298951, 179.82155082448426, 11.988103388298951, 11.988103388298951, 23.976206776597902, 95.90482710639161, 95.90482710639161], [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 … 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [298.15365853658534, 298.15365853658534, 3875.9975609756098, 596.3073170731707, 596.3073170731707, 298.15365853658534, 298.15365853658534, 298.15365853658534, 298.15365853658534, 298.15365853658534 … 237.625, 158.41666666666669, 79.20833333333334, 79.20833333333334, 1188.125, 79.20833333333334, 79.20833333333334, 158.41666666666669, 633.6666666666667, 633.6666666666667], [7.65511425407355, 7.65511425407355, 99.51648530295614, 15.3102285081471, 15.3102285081471, 7.65511425407355, 7.65511425407355, 7.65511425407355, 7.65511425407355, 7.65511425407355 … 12.172460017041193, 8.114973344694128, 4.057486672347064, 4.057486672347064, 60.862300085205966, 4.057486672347064, 4.057486672347064, 8.114973344694128, 32.45989337877651, 32.45989337877651], [94.08074124608002, 94.08074124608002, 1223.0496361990404, 188.16148249216005, 188.16148249216005, 94.08074124608002, 94.08074124608002, 94.08074124608002, 94.08074124608002, 94.08074124608002 … 74.98125714213414, 49.98750476142277, 24.993752380711385, 24.993752380711385, 374.9062857106707, 24.993752380711385, 24.993752380711385, 49.98750476142277, 199.95001904569108, 199.95001904569108], [0.36061475737617726, 0.36061475737617726, 0.36061475737617726, 0.36061475737617726, 0.36061475737617726, 0.36061475737617726, 0.36061475737617726, 0.36061475737617726, 0.36061475737617726, 0.36061475737617726 … 0.35565736393550956, 0.35565736393550956, 0.35565736393550956, 0.35565736393550956, 0.35565736393550956, 0.35565736393550956, 0.35565736393550956, 0.35565736393550956, 0.35565736393550956, 0.35565736393550956], [12.384292053067014, 12.384292053067014, 160.99579668987118, 24.76858410613403, 24.76858410613403, 12.384292053067014, 12.384292053067014, 12.384292053067014, 12.384292053067014, 12.384292053067014 … 40.59033448978562, 27.06022299319041, 13.530111496595206, 13.530111496595206, 202.9516724489281, 13.530111496595206, 13.530111496595206, 27.06022299319041, 108.24089197276164, 108.24089197276164], [1.2548454674764362, 1.2548454674764362, 16.31299107719367, 2.5096909349528724, 2.5096909349528724, 1.2548454674764362, 1.2548454674764362, 1.2548454674764362, 1.2548454674764362, 1.2548454674764362 … 10.731319451394862, 7.154212967596575, 3.5771064837982873, 3.5771064837982873, 53.65659725697431, 3.5771064837982873, 3.5771064837982873, 7.154212967596575, 28.6168518703863, 28.6168518703863], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 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0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [11.889212387273576, 11.889212387273576, 90.08469623043737, 18.405502707537224, 18.405502707537224, 11.889212387273576, 11.889212387273576, 11.889212387273576, 11.889212387273576, 11.889212387273576 … 61.09961900078555, 42.524053356193676, 23.9484877116018, 23.9484877116018, 284.00640673588805, 23.9484877116018, 23.9484877116018, 42.524053356193676, 153.97744722374492, 153.97744722374492], [6.44766966354178, 6.44766966354178, 48.85406569539502, 9.98153599952955, 9.98153599952955, 6.44766966354178, 6.44766966354178, 6.44766966354178, 6.44766966354178, 6.44766966354178 … 33.13509314603692, 23.061329873209285, 12.987566600381646, 12.987566600381646, 154.02025241996859, 12.987566600381646, 12.987566600381646, 23.061329873209285, 83.5039095101751, 83.5039095101751]), Bank{Float64}(89460.0, 6476.292527744363, 0.0, 126430.99999999991, 0.028359903595743693, 3695.369633667524, 0.0, 0.0, 0.0, 0.0, 33636.12938055409, 18241.29672694816), CentralBank{Float64}(0.0016459319014481277, 0.0089810924595537, 0.9259668580654086, -0.003424572940686137, 0.0049629315732038215, 0.30996974466133875, 1.328593153520194, 106179.90000000002), Government{Float64}(0.9905949533296431, 0.09373211872949586, 0.011235005057648862, 0.0, 14732.121510837034, 232610.9, 2.238468336136841, 0.5902859043576301, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], 0.0, 0.0), RestOfTheWorld{Float64}(0.962809216044625, 0.39260026877953946, 0.020320381298662014, 0.9662360466537488, 0.35492769963078624, 0.02122821278168188, 2.3548476e6, 0.0, 0.0019383188997990075, 0.38456173629534834, 0.0026219533879005877, 0.0025327891562467505, 0.9635784504324201, 0.5360029623199525, 0.006618207536795881, 0.0, 33097.63671130043, 34095.03119997918, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], 0.0, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], 0.0), Aggregates{Float64, Int64}([104531.39273728609, 105062.38754395355, 105399.12953350678, 106689.88106040593, 107938.33111423723, 108890.48532381697, 110110.17779727321, 110374.00540561741, 110808.89423399912, 111932.48072916963 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.007497362866886709, -0.007895434153021436, -0.0019938777296781562, -0.0035311300388783107, 0.001212170001002849, -0.001672412335241874, 0.001839696090252002, 0.004290005139261838, 0.00600429551344886, 0.0036060572293247772 … 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], 1.0, [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 … 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1), MutableNamedTuple(tau_VAT = 0.1528683933530887, tau_EXPORT = 0.0029486201783457183, tau_SIW = 0.17114894621657745, psi_H = 0.07125099957246343, tau_FIRM = 0.07701197259426128, H_inact = 4130, theta_DIV = 0.7858074440019603, I_s = [48, 2, 1, 1, 5, 2, 4, 1, 1, 1 … 14, 10, 13, 41, 20, 16, 7, 7, 2, 19], psi = 0.9096681249468772, tau_INC = 0.21340742230566648, zeta_b = 0.5, tau_CF = 0.08761417854834112, H_act = 4743, zeta = 0.03, mu = 0.026713971694295565, tau_G = 0.009147800682711324, theta_UB = 0.3585824478060919, T_prime = 54, tau_SIF = 0.21215146534992413, T = 16, zeta_LTV = 0.6, I = 624, products = MutableNamedTuple(a_sg = [0.37790282216028437 0.0 … 0.0 0.0; 0.0006712800413285777 0.8149348034258406 … 2.4029219530949635e-5 0.00019143106686926454; … ; 0.00037430822580994426 0.000357977071568566 … 0.3197327950788158 0.0011366219595362582; 0.0 5.36965607352849e-5 … 0.0 0.05594572929254256], b_CF_g = [0.0033476048872100555, 0.0, 0.0, 0.0008050086095806136, 0.0, 0.003306696048303853, 0.0030629933432974495, 0.0, 0.0, 0.0 … 0.0017883064872300512, 0.0, 0.0, 0.0, 0.0, 0.002291709084994238, 0.0, 0.0, 0.0, 0.0], b_CFH_g = [0.0006092803753845975, 0.0, 0.0, 0.004372477702289994, 0.0, 0.0, 0.06710603871527036, 0.0, 0.0, 0.0 … 0.0041711096896454745, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], c_E_g = [0.005090338238241512, 0.0005933402816643566, 1.793599921320476e-5, 0.007268146142708006, 0.05434404438533037, 0.02138421321578873, 0.023894091259534518, 0.028037089231640524, 0.005923381894006229, 0.011927802553688313 … 0.0014618202435669027, 0.0009447261124040238, 0.0001280209174610526, 0.0010477673386531637, 0.0, 0.0013030104043795392, 5.5260305268213854e-5, 0.0, 1.307076865739618e-5, 8.641230390167474e-6], b_HH_g = [0.011287997598927976, 0.0020040637862256817, 0.0003326837475323491, 0.00034402684015257527, 0.06305103828047173, 0.03068200872784047, 0.0003505790613555631, 0.0020473225369636873, 0.0, 0.0191077565617325 … 0.005591228759882936, 0.0004356874830029748, 0.014434120586233577, 0.03514505772295519, 0.024907176866291014, 0.013342154173060372, 0.009686226103767459, 0.011051272187723254, 0.0021206651420422927, 0.01721782824162338], c_G_g = [0.0, 0.0, 0.0, 0.0, 8.57086390274792e-6, 0.0, 0.0, 0.0, 2.4536198623552867e-5, 0.0 … 0.008555738848801895, 0.3324338967920097, 0.22067672180252998, 0.2370889178393625, 0.0477595425645907, 0.012942508661614227, 0.004667927760053456, 0.021757222045203074, 0.0, 0.002000708524749294], c_I_g = [0.016810689305736877, 0.004087420487057966, 0.00036885674795364003, 0.05818437780960789, 0.04895082866561155, 0.04689140072807505, 0.010101572733480902, 0.016066325760592727, 0.00037371898454196314, 0.041008926225895866 … 0.0018123421762754539, 0.000401097116716159, 0.0003479865324437806, 0.0006664256271585853, 0.0028556289501379516, 0.001307065586721844, 6.418152296577174e-5, 0.0, 3.538212163497461e-5, 0.00020458795490837936]), J = 156, G = 62, H = 8873, L = 312, theta = 0.05, C = [4.3800671000101816e-5 0.00010629745355671226 9.959785873214212e-5; 0.00010629745355671226 0.0004129178961230129 0.0003596689472264872; 9.959785873214212e-5 0.0003596689472264872 0.0004506370179043619]))Note that the it is very simple to inspect the model by typing
fieldnames(typeof(model))(:w_act, :w_inact, :firms, :bank, :cb, :gov, :rotw, :agg, :prop)and to inspect the specific attributes of one agent type by typing
fieldnames(typeof(model.bank))(:E_k, :Pi_k, :Pi_e_k, :D_k, :r, :Y_h, :C_d_h, :I_d_h, :C_h, :I_h, :K_h, :D_h)We can now define a data tracker, which will store the time series of the model.
data = Bit.init_data(model);We can run now the model for a number of epochs and progressively update the data tracker.
for t in 1:T
Bit.step!(model; multi_threading = true)
Bit.update_data!(data, model)
endNote that we can equivalently run the model for a number of epochs in the single command data = Bit.run!(model), but writing the loop explicitely is more instructive.
We can then plot any time series stored in the data tracker, for example
plot(data.real_gdp, title = "gdp", titlefont = 10)
Or we can plot multiple time series at once using the function plot_data
ps = Bit.plot_data(data, quantities = [:real_gdp, :real_household_consumption, :real_government_consumption, :real_capitalformation, :real_exports, :real_imports, :wages, :euribor, :gdp_deflator])
plot(ps..., layout = (3, 3))
To run multiple monte-carlo repetitions in parallel we can use
model = Bit.init_model(parameters, initial_conditions, T)
data_vector = Bit.ensemblerun(model, 4)BeforeIT.DataVector(BeforeIT.Data[BeforeIT.Data{Float64, Vector{Float64}, Matrix{Float64}}([72421.99999999997, 72743.51979745345, 72412.76612786601, 71882.16215992045, 71769.32877779481, 72166.78584268242, 73342.64636019121, 73402.07263485936, 74361.81973474534, 74672.31902295665, 73613.12385125589, 74764.28998057925, 75278.714721605, 75843.32376186375, 77392.80612526232, 78004.2202051918, 78442.1921000614], [72421.99999999997, 72376.65532315176, 72361.89025158498, 72512.05268705671, 72314.99708953846, 73125.1445614857, 73613.03711106218, 73650.087591421, 73487.16941973056, 73297.9385953295, 72448.13028192427, 73343.40696342604, 73495.59062871951, 73590.96492388674, 74935.84652266455, 74908.86714368858, 74864.86981832715], [64900.92049553801, 65196.12087055907, 64906.19353090883, 64434.598198999636, 64345.66894200863, 64694.65741884579, 65743.17150847464, 65785.32310015982, 66632.53422174245, 66909.72214058283, 65947.47823238772, 66998.54491134398, 67454.10622256104, 67971.2375560879, 69381.83118804678, 69923.24208862863, 70319.64260405448], [64900.92049553801, 64867.319890399114, 64860.59163432999, 64999.22705553132, 64834.89453652838, 65553.7879492327, 65985.54543948219, 66007.60216484295, 65848.79644804125, 65678.21609214047, 64903.80036579412, 65725.24860018751, 65856.32333779312, 65952.66017782866, 67179.19292077191, 67148.55732285666, 67112.74568294105], [40512.94792630534, 40644.01658936289, 40442.12281111198, 40094.510205859326, 39930.64594878427, 40208.073061738796, 40943.16761370153, 41047.34862938223, 41652.685318896474, 41794.20957529183, 41276.9387724709, 41799.21061216998, 42104.550072404934, 42351.2257179939, 43082.367991413994, 43471.384384995516, 43666.482956568885], [40512.94792630534, 40439.03825148371, 40413.7089202098, 40445.85122580043, 40234.242046626714, 40742.02724765748, 41094.11190578138, 41186.04166653849, 41162.762742158346, 41024.96677715708, 40623.694273177694, 41004.82349895502, 41107.221173633836, 41093.49922588248, 41714.648651094, 41746.358708308835, 41675.09186634741], [14866.888022051655, 14784.950123892057, 14800.9783607899, 14698.76501896585, 14671.167878164266, 14623.849972258122, 14787.657030024699, 14892.509454931234, 15345.7423726227, 15382.57365327907, 15274.81229997242, 15375.445583071436, 15587.384326544061, 15701.138295702758, 15952.082569467273, 16220.201889283824, 16339.96710260968], [14866.888022051655, 14710.38577823102, 14790.579465896244, 14827.567667186846, 14782.714015542424, 14818.051417697803, 14842.174365932286, 14942.829084241073, 15165.244390617587, 15099.449887575482, 15033.07472423563, 15083.237772152308, 15218.16653848123, 15234.853382904581, 15445.657949237726, 15576.554001462835, 15594.789962169654], [15944.236265986641, 16145.555377443743, 15913.716761316384, 15732.624057837653, 15771.523840808686, 16229.127460611642, 16568.085122475488, 16607.111871030425, 16311.451493667066, 16531.37923292571, 15650.818726714093, 16456.32486964592, 16354.488207482158, 16358.785588229135, 17193.67641334087, 17105.03387205901, 17036.33042192561], [15944.236265986641, 16064.129145906607, 15902.53607690927, 15870.486227856692, 15891.436078172443, 16444.646630806532, 16629.166324192138, 16663.224893203518, 16119.594755381546, 16227.111140589775, 15403.130512745083, 16143.575125909858, 15967.10005855562, 15872.970179955255, 16647.835391639917, 16426.27419952183, 16259.395933154547], [15944.236265986641, 16014.03694776889, 15943.030976434187, 15809.441895648528, 15751.92008045554, 15842.996257570374, 16129.668389398183, 16156.560950101306, 16366.578727788665, 16425.027133296102, 16199.633900827364, 16435.10713472802, 16562.965852605248, 16659.433785808025, 16990.37284058997, 17159.747260100452, 17243.834553405042], [15944.236265986641, 15933.273997850485, 15931.82969639924, 15947.97720663743, 15871.683268761739, 16053.387692052558, 16189.1332896104, 16211.151626064382, 16174.073578089032, 16122.716503190893, 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[518.0834390395164 258.24326637797435 … 136.99722836422484 504.90462950861706; 520.3856061709315 259.39080191948256 … 137.60599230545378 507.1482349878986; … ; 626.7800975939758 321.0500038863602 … 161.4918165337044 584.6153174872936; 639.4345703952217 324.89431807484715 … 161.79916716981234 585.9820144731565], [518.0834390395164 258.24326637797435 … 136.99722836422484 504.90462950861706; 519.8148484576985 259.10630269586534 … 137.45506637559697 506.5919959923552; … ; 556.3028253174974 284.95005651227973 … 143.33313094691053 518.8791955751356; 563.8156323161745 286.4726179381919 … 142.66494801758043 516.6843259848831])])Note that this will use the number of threads specified when activating the Julia environment. To discover the number of threads available, you can use the command
Threads.nthreads()2To activate Julia with a specific number of threads, say 8, you can use the command julia -t 8 in the terminal.
We can then plot the results of the monte-carlo repetitions using the function plot_data_vector
ps = Bit.plot_data_vector(data_vector)
plot(ps..., layout = (3, 3))