1 bfw_mp_param_esti

This is the example vignette for function: bfw_mp_param_esti from the PrjLabEquiBFW Package.

1.1 Map of Estimated Parameters

bl_log_wage = true;
bl_verbose = true;
mp_func_supply = bfw_mp_param_esti(bl_log_wage, bl_verbose);

pos = 42 ; key = mp_rho_nests
  Map with properties:

        Count: 11
      KeyType: char
    ValueType: any

pos = 43 ; key = mp_rho_nests_init
  Map with properties:

        Count: 8
      KeyType: char
    ValueType: any

----------------------------------------
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CONTAINER NAME: mp_params ND Array (Matrix etc)
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                     i     idx    ndim    numel    rowN    colN      sum         mean        std      coefvari      min          max   
                     __    ___    ____    _____    ____    ____    ________    ________    _______    ________    ________    _________

    ar_alpha_A001     1     1      2        4       1       4      -0.94699    -0.23675    0.51665     -2.1823     -1.0101     0.068567
    ar_alpha_A002     2     2      2        4       1       4       -1.4489    -0.36221     0.7982     -2.2037     -1.5565      0.11544
    ar_alpha_A003     3     3      2        4       1       4      -0.57104    -0.14276    0.31287     -2.1916      -0.611      0.04301
    ar_alpha_AA01     4     4      2        4       1       4      -0.67951    -0.16988     0.3633     -2.1386    -0.71418      0.03661
    ar_alpha_AA02     5     5      2        4       1       4       -0.6718    -0.16795    0.33676     -2.0051    -0.67309     0.001573
    ar_alpha_B001     6     6      2        4       1       4       -1.2904    -0.32261    0.67446     -2.0907     -1.3337     0.046411
    ar_alpha_B002     7     7      2        4       1       4       -1.1023    -0.27558    0.57386     -2.0823     -1.1359     0.036755
    ar_alpha_B003     8     8      2        4       1       4      -0.85037    -0.21259    0.44078     -2.0734    -0.87352      0.02499
    ar_alpha_B101     9     9      2        4       1       4       -2.7486    -0.68715     1.4441     -2.1015      -2.852      0.10452
    ar_alpha_B102    10    10      2        4       1       4       -1.3642    -0.34105    0.66492     -1.9496     -1.3382    0.0046709
    ar_alpha_B103    11    11      2        4       1       4       -1.1457    -0.28641    0.57331     -2.0017     -1.1464     0.002346
    arpie_f_s        12    12      2        6       1       6        4.6479     0.77464     6.3115      8.1476     -8.3485       11.145
    arpie_f_u        13    13      2        6       1       6        8.0344      1.3391      4.861      3.6302     -2.0749       11.145
    arpie_k_s        14    14      2        6       1       6        1.3887     0.23145     1.8386      7.9441     -3.0311       2.4457
    arpie_k_u        15    15      2        6       1       6        4.7387     0.78979     1.8849      2.3866     -2.2809       3.0169
    arpsi0_f_s       16    16      2        3       1       3        3.3528      1.1176     1.0974      0.9819           0       2.1936
    arpsi0_f_u       17    17      2        3       1       3         20.22        6.74    0.55777    0.082755      6.3081       7.3697
    arpsi0_k_s       18    18      2        3       1       3         1.779     0.59299    0.68939      1.1626           0       1.3494
    arpsi0_k_u       19    19      2        3       1       3        18.003      6.0009    0.84112     0.14016      5.0649       6.6935

xxx TABLE:ar_alpha_A001 xxxxxxxxxxxxxxxxxx
              c1            c2           c3         c4   
          __________    __________    ________    _______

    r1    0.00013396    -0.0056187    0.068567    -1.0101

xxx TABLE:ar_alpha_A002 xxxxxxxxxxxxxxxxxx
              c1            c2          c3         c4   
          __________    __________    _______    _______

    r1    0.00017171    -0.0079274    0.11544    -1.5565

xxx TABLE:ar_alpha_A003 xxxxxxxxxxxxxxxxxx
              c1            c2          c3         c4  
          __________    __________    _______    ______

    r1    6.9362e-05    -0.0031181    0.04301    -0.611

xxx TABLE:ar_alpha_AA01 xxxxxxxxxxxxxxxxxx
              c1           c2          c3          c4   
          __________    _________    _______    ________

    r1    3.3671e-05    -0.001978    0.03661    -0.71418

xxx TABLE:ar_alpha_AA02 xxxxxxxxxxxxxxxxxx
              c1            c2            c3          c4   
          __________    ___________    ________    ________

    r1    9.8127e-06    -0.00029501    0.001573    -0.67309

xxx TABLE:ar_alpha_B001 xxxxxxxxxxxxxxxxxx
              c1            c2           c3         c4   
          __________    __________    ________    _______

    r1    7.1149e-05    -0.0031771    0.046411    -1.3337

xxx TABLE:ar_alpha_B002 xxxxxxxxxxxxxxxxxx
              c1            c2           c3         c4   
          __________    __________    ________    _______

    r1    7.7753e-05    -0.0032235    0.036755    -1.1359

xxx TABLE:ar_alpha_B003 xxxxxxxxxxxxxxxxxx
              c1            c2          c3          c4   
          __________    __________    _______    ________

    r1    4.3028e-05    -0.0018888    0.02499    -0.87352

xxx TABLE:ar_alpha_B101 xxxxxxxxxxxxxxxxxx
              c1             c2          c3         c4  
          ___________    __________    _______    ______

    r1    -1.7675e-05    -0.0011106    0.10452    -2.852

xxx TABLE:ar_alpha_B102 xxxxxxxxxxxxxxxxxx
              c1            c2           c3          c4   
          ___________    _________    _________    _______

    r1    -0.00010096    0.0046709    -0.030629    -1.3382

xxx TABLE:ar_alpha_B103 xxxxxxxxxxxxxxxxxx
              c1            c2           c3          c4   
          ___________    ________    __________    _______

    r1    -7.5369e-05    0.002346    -0.0015487    -1.1464

xxx TABLE:arpie_f_s xxxxxxxxxxxxxxxxxx
            c1      c2      c3        c4         c5         c6   
          ______    __    ______    _______    _______    _______

    r1    11.145    0     2.7351    0.26746    -8.3485    -1.1508

xxx TABLE:arpie_f_u xxxxxxxxxxxxxxxxxx
            c1      c2       c3          c4         c5         c6   
          ______    __    ________    ________    _______    _______

    r1    11.145    0     -0.25662    -0.26519    -2.0749    -0.5135

xxx TABLE:arpie_k_s xxxxxxxxxxxxxxxxxx
            c1      c2       c3          c4         c5         c6  
          ______    __    _________    _______    _______    ______

    r1    2.4457    0     -0.043896    0.91566    -3.0311    1.1023

xxx TABLE:arpie_k_u xxxxxxxxxxxxxxxxxx
            c1      c2      c3         c4        c5         c6   
          ______    __    _______    ______    _______    _______

    r1    2.4457    0     -2.2809    3.0169    0.84513    0.71184

xxx TABLE:arpsi0_f_s xxxxxxxxxxxxxxxxxx
          c1      c2        c3  
          __    ______    ______

    r1    0     1.1592    2.1936

xxx TABLE:arpsi0_f_u xxxxxxxxxxxxxxxxxx
            c1        c2        c3  
          ______    ______    ______

    r1    7.3697    6.5422    6.3081

xxx TABLE:arpsi0_k_s xxxxxxxxxxxxxxxxxx
          c1      c2         c3  
          __    _______    ______

    r1    0     0.42958    1.3494

xxx TABLE:arpsi0_k_u xxxxxxxxxxxxxxxxxx
            c1        c2        c3  
          ______    ______    ______

    r1    6.6935    6.2443    5.0649

----------------------------------------
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CONTAINER NAME: mp_params Scalars
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                                        i     idx     value  
                                        __    ___    ________

    bl_log_wage                          1    20            1
    fl_rho_abstract_vs_manualroutine     2    21     0.031411
    fl_rho_gen_abstract                  3    22      0.65979
    fl_rho_gen_manual                    4    23     0.083519
    fl_rho_gen_routine                   5    24      0.21769
    fl_rho_routine_vs_manual             6    25     -0.15438
    fl_rho_skill_abstract                7    26      0.30231
    fl_rho_skill_manual                  8    27      0.73852
    fl_rho_skill_routine                 9    28      0.30052
    fl_yzagg_y1989                      10    29       1.4905
    fl_yzagg_y1992                      11    30       1.4602
    fl_yzagg_y1994                      12    31       1.6493
    fl_yzagg_y1996                      13    32       1.7686
    fl_yzagg_y1998                      14    33       1.8018
    fl_yzagg_y2000                      15    34       2.0599
    fl_yzagg_y2002                      16    35       2.0597
    fl_yzagg_y2004                      17    36       2.2803
    fl_yzagg_y2005                      18    37       2.3392
    fl_yzagg_y2008                      19    38       2.4908
    fl_yzagg_y2010                      20    39       2.7153
    fl_yzagg_y2012                      21    40        2.822
    fl_yzagg_y2014                      22    41       2.8707
    psi1                                23    44      0.96625