decomp: Interface function for decompositions

Description Usage Arguments Details Value Author(s) References Examples

View source: R/decomp.R

Description

This function runs the decomposition. NOTE: the default method is now "leontief", please specify method="wwz" explicitly for Wang-Wei-Zhu. See http://qua.st/decompr/decompr-v2/ for more information.

Usage

1
2
decomp(x, y, k, i, o, v, method = c("leontief", "wwz"), verbose = FALSE,
  ...)

Arguments

x

intermediate demand table, it has dimensions GN x GN (G = no. of country, N = no. of industries), excluding the first row and the first column which contains the country names, and the second row and second column which contain the industry names for each country. In addition, an extra row at the end should contain final demand.

y

final demand table it has dimensions GN x MN, excluding the first row and the first column which contains the country names, the second column which contains the industry names for each country, and second row which contains the five decomposed final demands (M). #' @param k is a vector of country of region names

k

vector or country or region names

i

vector of sector or industry names

o

vector of final outputs

v

vector of value added, optional. If this vector is not specified, value added will be calculated as gross output - intermediate consumption

method

user specified the decomposition method

verbose

logical, should timings of the calculation be displayed? Default is FALSE

...

arguments to pass on the respective decomposition method

Details

Version 2 introduces several important changes, the default method is now leontief, which means that wwz has to be specified explicitly. Furthermore, the input object have a different structure, see the information below for details.

Value

The output when using the WWZ algorithm is a matrix with dimensions GNG*19. Whereby 19 is the 16 objects the WWZ algorithm decomposes exports into, plus three checksums. GNG represents source country, using industry and using country.

Author(s)

Bastiaan Quast

References

Timmer, Marcel P. (ed) (2012), "The World Input-Output Database (WIOD): Contents Sources and Methods", WIOD Working Paper Number 10, downloadable at http://www.wiod.org/publications/papers/wiod10.pdf

Wang, Zhi, Shang-Jin Wei, and Kunfu Zhu. Quantifying international production sharing at the bilateral and sector levels. No. w19677. National Bureau of Economic Research, 2013.

Examples

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# load leather example data
data(leather)

# explore the data set
ls()

# explore each of the objects
inter
final
countries
industries
out

# use the direct approach

# run the Leontief decomposition
decomp(inter,
       final,
       countries,
       industries,
       out,
       method = "leontief")

# run the WWZ decomposition
decomp(inter,
       final,
       countries,
       industries,
       out,
       method = "wwz")

Example output

If you use decompr for data analysis,
please cite both R and decompr,
using citation() and citation("decompr") respectively.

[1] "countries"  "final"      "industries" "inter"      "out"       
      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
 [1,] 16.1  5.1  1.8  3.2  4.3  0.4  3.1  2.8  4.9
 [2,]  2.4  8.0  3.2  0.1  3.2  1.6  1.2  3.9 11.5
 [3,]  0.9  0.5  4.0  0.0  0.1  0.3  0.0  0.4  0.5
 [4,]  1.1  1.9  0.2 18.0 13.2  6.1  9.0  3.1  8.9
 [5,]  0.3  2.8  0.1  6.1 28.1  6.3  2.1  2.5 25.6
 [6,]  0.0  0.1  0.3  4.1  3.2  8.9  0.2  0.0  1.8
 [7,]  1.2  4.2  0.3  4.1  1.2  0.6 29.0 19.5 17.9
 [8,]  1.3  1.1  0.0  3.2  4.8  2.6  5.1 29.1 24.1
 [9,]  2.1  1.4  3.0  4.1  3.1  3.9 11.3  8.1 51.3
      [,1] [,2] [,3]
 [1,] 21.5  6.1  8.4
 [2,] 16.2  1.9  5.1
 [3,] 11.0  0.5  0.8
 [4,]  7.5 29.5 14.2
 [5,]  8.9 24.9 16.9
 [6,]  1.2 18.5  4.9
 [7,]  9.2 17.9 51.2
 [8,]  7.9 10.1 38.5
 [9,] 25.1 35.2 68.4
[1] "Argentina" "Turkey"    "Germany"  
[1] "Agriculture"         "Textile_and_Leather" "Transport_Equipment"
[1]  77.7  58.3  19.0 112.7 124.6  43.2 156.3 127.8 217.0
   Source_Country     Source_Industry Using_Country      Using_Industry
1       Argentina         Agriculture     Argentina         Agriculture
2       Argentina         Agriculture     Argentina Textile_and_Leather
3       Argentina         Agriculture     Argentina Transport_Equipment
4       Argentina         Agriculture        Turkey         Agriculture
5       Argentina         Agriculture        Turkey Textile_and_Leather
6       Argentina         Agriculture        Turkey Transport_Equipment
7       Argentina         Agriculture       Germany         Agriculture
8       Argentina         Agriculture       Germany Textile_and_Leather
9       Argentina         Agriculture       Germany Transport_Equipment
10      Argentina Textile_and_Leather     Argentina         Agriculture
11      Argentina Textile_and_Leather     Argentina Textile_and_Leather
12      Argentina Textile_and_Leather     Argentina Transport_Equipment
13      Argentina Textile_and_Leather        Turkey         Agriculture
14      Argentina Textile_and_Leather        Turkey Textile_and_Leather
15      Argentina Textile_and_Leather        Turkey Transport_Equipment
16      Argentina Textile_and_Leather       Germany         Agriculture
17      Argentina Textile_and_Leather       Germany Textile_and_Leather
18      Argentina Textile_and_Leather       Germany Transport_Equipment
19      Argentina Transport_Equipment     Argentina         Agriculture
20      Argentina Transport_Equipment     Argentina Textile_and_Leather
21      Argentina Transport_Equipment     Argentina Transport_Equipment
22      Argentina Transport_Equipment        Turkey         Agriculture
23      Argentina Transport_Equipment        Turkey Textile_and_Leather
24      Argentina Transport_Equipment        Turkey Transport_Equipment
25      Argentina Transport_Equipment       Germany         Agriculture
26      Argentina Transport_Equipment       Germany Textile_and_Leather
27      Argentina Transport_Equipment       Germany Transport_Equipment
28         Turkey         Agriculture     Argentina         Agriculture
29         Turkey         Agriculture     Argentina Textile_and_Leather
30         Turkey         Agriculture     Argentina Transport_Equipment
31         Turkey         Agriculture        Turkey         Agriculture
32         Turkey         Agriculture        Turkey Textile_and_Leather
33         Turkey         Agriculture        Turkey Transport_Equipment
34         Turkey         Agriculture       Germany         Agriculture
35         Turkey         Agriculture       Germany Textile_and_Leather
36         Turkey         Agriculture       Germany Transport_Equipment
37         Turkey Textile_and_Leather     Argentina         Agriculture
38         Turkey Textile_and_Leather     Argentina Textile_and_Leather
39         Turkey Textile_and_Leather     Argentina Transport_Equipment
40         Turkey Textile_and_Leather        Turkey         Agriculture
41         Turkey Textile_and_Leather        Turkey Textile_and_Leather
42         Turkey Textile_and_Leather        Turkey Transport_Equipment
43         Turkey Textile_and_Leather       Germany         Agriculture
44         Turkey Textile_and_Leather       Germany Textile_and_Leather
45         Turkey Textile_and_Leather       Germany Transport_Equipment
46         Turkey Transport_Equipment     Argentina         Agriculture
47         Turkey Transport_Equipment     Argentina Textile_and_Leather
48         Turkey Transport_Equipment     Argentina Transport_Equipment
49         Turkey Transport_Equipment        Turkey         Agriculture
50         Turkey Transport_Equipment        Turkey Textile_and_Leather
51         Turkey Transport_Equipment        Turkey Transport_Equipment
52         Turkey Transport_Equipment       Germany         Agriculture
53         Turkey Transport_Equipment       Germany Textile_and_Leather
54         Turkey Transport_Equipment       Germany Transport_Equipment
55        Germany         Agriculture     Argentina         Agriculture
56        Germany         Agriculture     Argentina Textile_and_Leather
57        Germany         Agriculture     Argentina Transport_Equipment
58        Germany         Agriculture        Turkey         Agriculture
59        Germany         Agriculture        Turkey Textile_and_Leather
60        Germany         Agriculture        Turkey Transport_Equipment
61        Germany         Agriculture       Germany         Agriculture
62        Germany         Agriculture       Germany Textile_and_Leather
63        Germany         Agriculture       Germany Transport_Equipment
64        Germany Textile_and_Leather     Argentina         Agriculture
65        Germany Textile_and_Leather     Argentina Textile_and_Leather
66        Germany Textile_and_Leather     Argentina Transport_Equipment
67        Germany Textile_and_Leather        Turkey         Agriculture
68        Germany Textile_and_Leather        Turkey Textile_and_Leather
69        Germany Textile_and_Leather        Turkey Transport_Equipment
70        Germany Textile_and_Leather       Germany         Agriculture
71        Germany Textile_and_Leather       Germany Textile_and_Leather
72        Germany Textile_and_Leather       Germany Transport_Equipment
73        Germany Transport_Equipment     Argentina         Agriculture
74        Germany Transport_Equipment     Argentina Textile_and_Leather
75        Germany Transport_Equipment     Argentina Transport_Equipment
76        Germany Transport_Equipment        Turkey         Agriculture
77        Germany Transport_Equipment        Turkey Textile_and_Leather
78        Germany Transport_Equipment        Turkey Transport_Equipment
79        Germany Transport_Equipment       Germany         Agriculture
80        Germany Transport_Equipment       Germany Textile_and_Leather
81        Germany Transport_Equipment       Germany Transport_Equipment
          FVAX
1  28.52278143
2   2.79395126
3   0.35606694
4   1.81066955
5   3.11738415
6   0.35901126
7   1.23641723
8   1.30283802
9   4.12087363
10  1.06206936
11 19.12053186
12  0.41813924
13  0.48370042
14  1.83290239
15  0.43058635
16  0.59370415
17  1.15375958
18  4.74903511
19  0.21043693
20  0.14228369
21  1.06369578
22  0.03329456
23  0.07905450
24  0.04024626
25  0.02318460
26  0.07482343
27  0.19326212
28  0.71952151
29  1.34237213
30  0.11504126
31 34.92704803
32  6.99949698
33  1.47711579
34  2.55430885
35  1.52213499
36  6.18062537
37  0.41201175
38  1.38523849
39  0.11764036
40  2.69291816
41 40.16714096
42  1.31799873
43  1.10939926
44  1.15207241
45  9.50690317
46  0.03482652
47  0.08553139
48  0.02667530
49  0.81210167
50  0.90751892
51  3.16041392
52  0.11511911
53  0.07448266
54  0.64647326
55  0.92530356
56  2.25142713
57  0.16222512
58  2.31122022
59  2.05958253
60  0.51211484
61 29.87633590
62  5.24719728
63  9.60069308
64  0.64666560
65  0.72785683
66  0.08244379
67  1.53837777
68  2.54889673
69  0.63316614
70  1.45935830
71 18.95868110
72  8.15831503
73  0.66638333
74  0.65080723
75  0.25807221
76  1.29066963
77  1.48802285
78  0.56934671
79  1.73217260
80  1.51401054
81 34.74381924
   Exporting_Country  Exporting_Industry Importing_Country    DVA_FIN
1          Argentina         Agriculture         Argentina  0.0000000
2          Argentina         Agriculture            Turkey  5.4744354
3          Argentina         Agriculture           Germany  7.5385668
4          Argentina Textile_and_Leather         Argentina  0.0000000
5          Argentina Textile_and_Leather            Turkey  1.4704511
6          Argentina Textile_and_Leather           Germany  3.9470004
7          Argentina Transport_Equipment         Argentina  0.0000000
8          Argentina Transport_Equipment            Turkey  0.3534427
9          Argentina Transport_Equipment           Germany  0.5655083
10            Turkey         Agriculture         Argentina  6.2797497
11            Turkey         Agriculture            Turkey  0.0000000
12            Turkey         Agriculture           Germany 11.8896593
13            Turkey Textile_and_Leather         Argentina  7.2273648
14            Turkey Textile_and_Leather            Turkey  0.0000000
15            Turkey Textile_and_Leather           Germany 13.7238725
16            Turkey Transport_Equipment         Argentina  0.8407805
17            Turkey Transport_Equipment            Turkey  0.0000000
18            Turkey Transport_Equipment           Germany  3.4331870
19           Germany         Agriculture         Argentina  7.8610949
20           Germany         Agriculture            Turkey 15.2949565
21           Germany         Agriculture           Germany  0.0000000
22           Germany Textile_and_Leather         Argentina  6.5544233
23           Germany Textile_and_Leather            Turkey  8.3797057
24           Germany Textile_and_Leather           Germany  0.0000000
25           Germany Transport_Equipment         Argentina 16.9168288
26           Germany Transport_Equipment            Turkey 23.7239990
27           Germany Transport_Equipment           Germany  0.0000000
      DVA_INT DVA_INTrexI1 DVA_INTrexF DVA_INTrexI2     RDV_INT    RDV_FIN
1   0.0000000   0.00000000  0.00000000  0.000000000 0.000000000 0.00000000
2   2.6813686   1.13634407  1.40930027  0.504931544 0.168614730 0.70568372
3   5.1055954   0.41301548  2.07223830  0.184142503 0.241349852 1.40626760
4   0.0000000   0.00000000  0.00000000  0.000000000 0.000000000 0.00000000
5   1.6059520   0.51989101  0.73959485  0.238689217 0.078969730 0.33143582
6   6.4499428   0.53948810  2.81987967  0.236761536 0.317887034 1.98497120
7   0.0000000   0.00000000  0.00000000  0.000000000 0.000000000 0.00000000
8   0.1488951   0.02512465  0.05166467  0.011502878 0.004631660 0.01867612
9   0.3167888   0.02878668  0.13002229  0.012763061 0.014519380 0.09346627
10  1.1190525   0.42428189  0.32364669  0.127683939 0.154036261 0.17353911
11  0.0000000   0.00000000  0.00000000  0.000000000 0.000000000 0.00000000
12  9.1875645   0.44406842  2.46325705  0.104348906 0.693923875 3.73948515
13  1.0471326   0.46078259  0.29530382  0.140987907 0.151185856 0.13152490
14  0.0000000   0.00000000  0.00000000  0.000000000 0.000000000 0.00000000
15 12.0058480   0.62802955  3.90680904  0.127367338 0.950059562 5.57979048
16  0.1781916   0.02204374  0.02060577  0.006672856 0.008562439 0.01119518
17  0.0000000   0.00000000  0.00000000  0.000000000 0.000000000 0.00000000
18  0.6546040   0.03517716  0.21633307  0.007037041 0.049810123 0.31139842
19  2.0199906   0.28226589  0.28018271  0.060605877 0.820750168 0.57157404
20  2.0603035   0.11637081  0.47705677  0.015705424 0.736949683 0.97226390
21  0.0000000   0.00000000  0.00000000  0.000000000 0.000000000 0.00000000
22  0.7909465   0.11961386  0.15208027  0.027530616 0.309465907 0.25977474
23  3.6874998   0.18967992  0.78711215  0.023624112 1.222414373 1.69900744
24  0.0000000   0.00000000  0.00000000  0.000000000 0.000000000 0.00000000
25  2.3746384   0.18110921  0.25997068  0.039006620 0.436904740 0.42764724
26  3.2689405   0.14831124  0.60720101  0.018387426 0.907106729 1.37381855
27  0.0000000   0.00000000  0.00000000  0.000000000 0.000000000 0.00000000
      RDV_FIN2    OVA_FIN    MVA_FIN    OVA_INT    MVA_INT     DDC_FIN
1  0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
2  0.347019751 0.41126356 0.21430105 0.19588405 0.10207118 0.064864146
3  0.084582830 0.29510308 0.56633015 0.19467191 0.37359342 0.087209223
4  0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
5  0.166207540 0.24200608 0.18754280 0.26256584 0.20347560 0.027678457
6  0.107403534 0.50340436 0.64959526 0.81211670 1.04795907 0.106880311
7  0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
8  0.007976699 0.09668098 0.04987633 0.04203798 0.02168679 0.001418669
9  0.005810004 0.07980213 0.15468957 0.04511074 0.08744330 0.005097011
10 0.182994956 0.83991301 0.38033734 0.15006977 0.06795601 0.107000467
11 0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
12 0.057224342 0.72010537 1.59023530 0.55070767 1.21614811 0.452925213
13 0.200948224 0.91653494 0.75610026 0.13297218 0.10969609 0.101320108
14 0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
15 0.074151999 1.43574094 1.74038658 1.24831079 1.51318619 0.597136653
16 0.009457655 0.24206509 0.11715443 0.05450683 0.02638016 0.005182273
17 0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
18 0.004084652 0.47838059 0.98843243 0.09450248 0.19526151 0.031112965
19 0.131707311 0.89832585 0.44057920 0.22998309 0.11279400 0.605435276
20 0.029961455 0.85721388 1.74782965 0.11412326 0.23269341 0.531356894
21 0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
22 0.058019038 0.70047263 0.64510407 0.08462563 0.07793643 0.224432812
23 0.046204332 0.82475330 0.89554095 0.36128082 0.39228915 0.921022483
24 0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
25 0.084238072 5.26294538 2.92022578 0.77714301 0.43120969 0.314861124
26 0.035453172 4.09529671 7.38070428 0.58558374 1.05536198 0.673700534
27 0.000000000 0.00000000 0.00000000 0.00000000 0.00000000 0.000000000
      DDC_INT        ODC        MDC texp texpint texpfd texpdiff
1  0.00000000 0.00000000 0.00000000  0.0     0.0    0.0        0
2  0.07171574 0.33673597 0.17546624 14.0     7.9    6.1        0
3  0.09804177 0.18474634 0.35454534 19.2    10.8    8.4        0
4  0.00000000 0.00000000 0.00000000  0.0     0.0    0.0        0
5  0.08379741 0.36155510 0.28018741  6.8     4.9    1.9        0
6  0.28388511 0.82641514 1.06640983 21.7    16.6    5.1        0
7  0.00000000 0.00000000 0.00000000  0.0     0.0    0.0        0
8  0.01286371 0.03530681 0.01821428  0.9     0.4    0.5        0
9  0.02894336 0.04466665 0.08658247  1.7     0.9    0.8        0
10 0.06712404 0.20829312 0.09432126 10.7     3.2    7.5        0
11 0.00000000 0.00000000 0.00000000  0.0     0.0    0.0        0
12 0.44050153 0.51423688 1.13560832 35.2    21.0   14.2        0
13 0.06941710 0.19656847 0.16216018 12.1     3.2    8.9        0
14 0.00000000 0.00000000 0.00000000  0.0     0.0    0.0        0
15 0.65512387 1.31733277 1.59685374 47.1    30.2   16.9        0
16 0.01834868 0.02618153 0.01267131  1.6     0.4    1.2        0
17 0.00000000 0.00000000 0.00000000  0.0     0.0    0.0        0
18 0.09174341 0.10075490 0.20818030  6.9     2.0    4.9        0
19 0.09794912 0.32658836 0.16017355 14.9     5.7    9.2        0
20 0.10138593 0.16842209 0.34340686 23.8     5.9   17.9        0
21 0.00000000 0.00000000 0.00000000  0.0     0.0    0.0        0
22 0.04935351 0.12817618 0.11804455 10.3     2.4    7.9        0
23 0.21797800 0.50430185 0.54758551 20.7    10.6   10.1        0
24 0.00000000 0.00000000 0.00000000  0.0     0.0    0.0        0
25 0.26247603 0.58577113 0.32502408 31.6     6.5   25.1        0
26 0.44822829 0.70583084 1.27207602 46.3    11.1   35.2        0
27 0.00000000 0.00000000 0.00000000  0.0     0.0    0.0        0
   texpdiffpercent texpfddiff texpfddiffpercent texpintdiff texpintdiffpercent
1                0          0                 0           0                  0
2                0          0                 0           0                  0
3                0          0                 0           0                  0
4                0          0                 0           0                  0
5                0          0                 0           0                  0
6                0          0                 0           0                  0
7                0          0                 0           0                  0
8                0          0                 0           0                  0
9                0          0                 0           0                  0
10               0          0                 0           0                  0
11               0          0                 0           0                  0
12               0          0                 0           0                  0
13               0          0                 0           0                  0
14               0          0                 0           0                  0
15               0          0                 0           0                  0
16               0          0                 0           0                  0
17               0          0                 0           0                  0
18               0          0                 0           0                  0
19               0          0                 0           0                  0
20               0          0                 0           0                  0
21               0          0                 0           0                  0
22               0          0                 0           0                  0
23               0          0                 0           0                  0
24               0          0                 0           0                  0
25               0          0                 0           0                  0
26               0          0                 0           0                  0
27               0          0                 0           0                  0
     DViX_Fsr
1   0.0000000
2  12.6653262
3  18.5127115
4   0.0000000
5   5.0399905
6  15.2000533
7   0.0000000
8   0.4855005
9   0.9139796
10  9.5810525
11  0.0000000
12 32.5558824
13  8.8144222
14  0.0000000
15 34.0847033
16  0.9503192
17  0.0000000
18  3.8384373
19 16.3782379
20 26.3978378
21  0.0000000
22  9.6143465
23 17.5471871
24  0.0000000
25 14.8384045
26 22.0663893
27  0.0000000

decompr documentation built on May 29, 2017, 11:18 p.m.