I am currently working with a country-year panel dataset which has data for value added for multiple sectors. It looks as follows:
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input long country int year double(agriculture manufacturing mining utilities construction) 5 1970 981.375378691819 6083.8882699607275 3314.377986731164 506.70685027966016 2006.7123877789525 5 1971 1047.3785337633847 6916.5025883226235 3380.606676519309 574.0725008948751 2235.0557453082833 5 1972 1004.0187968550568 7110.704855608108 3309.9627407452876 656.0828581655715 2027.9986329723647 5 1973 857.5592410758162 6647.521287082387 3364.4174412377624 675.1209768176975 1788.0445962466267 5 1974 1087.0186460911143 6477.841145292657 4110.573046865174 710.5728047619141 2257.390075704935 5 1975 1134.5517052620596 4828.1632395765 3648.174427027457 683.7475882841235 1669.5575805624069 5 1976 1116.2193959399322 5118.6251140941695 4092.781502010798 723.6899811012743 1393.6386137599113 5 1977 1234.8119779118867 5553.11987047624 4204.795616042943 765.4049653156358 1381.483073306251 5 1978 1189.0248529620965 6067.751221019465 4271.604682434886 816.9282885945638 1492.8891916388243 5 1979 1262.397738606136 6547.328358169937 4500.897755405062 872.4694857071697 1849.1763433825088 5 1980 1310.8037648876589 6951.561122736998 4734.184848648669 916.3115795981843 2291.850442816282 5 1981 1361.21761552351 7129.405790177698 5098.548425411251 935.1010484086189 2775.4757319337446 5 1982 1351.3967355295133 5635.297596050137 5431.141386362448 935.6919122076893 2122.026921332625 5 1983 1323.0689527912727 5809.858704261644 5317.674901321783 974.4525774266994 1817.1942903442387 5 1984 1441.57423805217 6326.53118621761 5608.693742154081 1043.938160197364 1857.7914351603458 5 1985 1543.100313012334 6496.477562539438 5791.14785009947 1083.7623802547005 2184.456832982976 5 1986 1660.7047304139123 6991.434529896969 5844.194450763241 1150.0663227014993 2397.3264521622946 5 1987 1818.8784210569606 7360.349185204471 5825.051991719084 1212.8607937144413 2616.440559550564 5 1988 2028.3106346387979 8008.985307139801 6281.010706743252 1281.282952848104 2841.1835013807054 5 1989 2155.034353611419 8886.108881625602 6770.549692753161 1180.786731574298 3157.5709039675676 5 1990 2351.34021390641 8973.802928950769 6833.363549901618 1077.8464141233414 3474.1928413228406 5 1991 2408.4364500945303 9452.749982148323 7679.688653679325 1368.4682503263523 3421.012082585575 5 1992 2697.5166095917593 10531.674004308923 7569.027171831896 1745.8993692111267 3887.8242222622434 5 1993 2781.7553785478876 11295.766898195656 7556.805316858913 1830.5277660732788 4800.750808303282 5 1994 2991.578662240602 11756.838693410447 8228.939157081648 1944.1343699178508 4749.886080404079 5 1995 3198.4717539431185 12642.568025900755 8996.785292525166 2092.459673304508 5221.02245487333 5 1996 3288.185504451532 13048.903995935294 10414.844340025093 2013.910182318858 5670.742873302024 5 1997 3400.8444205103046 13666.359953230405 11589.309516818577 2180.6136392506082 6026.200400763627 5 1998 3480.0746719699564 13352.125643752064 12549.560396035524 2276.8215444742495 6139.222709566625 5 1999 3507.691666495815 13283.739759050579 13878.610178440074 2168.7028528576793 5533.019757328133 5 2000 3739.033132780806 13936.441006213818 14323.552454900651 2374.8681490421977 5493.928485426047 5 2001 4020.677532508271 14022.11307099687 15135.987692954339 2410.9514914702045 5719.199924726687 5 2002 4295.359875214949 14287.256919868087 14496.674452839698 2490.106139597811 5862.724799319365 5 2003 4407.591009192732 14756.880720587662 15295.681421215628 2597.848939476505 6116.296122638 5 2004 4893.195674290561 15787.57945427821 16229.215748930521 2669.7927909571977 6314.7171296878905 5 2005 5235.52366773901 16727.216355640525 15597.436348861484 2750.7696314974487 6953.399167622369 5 2006 5445.435190788036 17387.421512458182 15702.659249244005 2958.520403792658 7228.817939932632 5 2007 5496.648019910568 17914.92334467639 16222.68096332891 2105.2513241878996 7561.054759264848 5 2008 5718.895309529531 18164.10214994937 15307.885730809367 2067.1852711011134 8328.307975440213 5 2009 6168.858138719481 19665.531230700435 14887.4184368782 2185.9714380755613 9188.567039247773 5 2010 6643.054616967439 20749.751555815412 20625.515807991615 1717.334059385173 9910.352150850182 5 2011 6372.830277868871 21521.695290676136 22306.019697880554 1652.4533003991382 10074.898295916159 5 2012 . . . . . 6 1970 68821.93786184487 17369.873736774083 3526.515925579863 2041.1034930415956 6478.822823366367 6 1971 70154.88059311402 19806.013382866688 4021.112799977039 2327.370003468182 7370.674429313272 6 1972 69529.11852637665 21228.31016384425 4309.874383683857 2494.5016114342784 7219.073877877839 6 1973 76405.62475426005 23149.738455664396 4699.9720650859945 2720.285290549922 7473.1613642627735 6 1974 79672.18431101153 23478.436567610952 4766.705948363077 2758.910030983694 7967.122989619162 6 1975 81298.14725613421 27884.128940155526 5661.17096005116 3276.615238697974 9242.602076124318 6 1976 79860.65545789216 27204.02823429808 5523.093619562108 3196.697793851682 9657.891406608484 6 1977 78141.54154392579 31377.195195268836 6370.350195573367 3687.079347003094 9824.914960944541 6 1978 81482.31652129904 36914.34728855157 7494.529641851021 4337.740408238934 9766.317058592982 6 1979 86480.53106427223 40110.23922306626 8143.375106952908 4713.2840817148735 9959.39087194243 6 1980 85198.03664727035 45186.85969769561 9174.05519266953 5309.8288776436475 12622.200547720255 6 1981 91147.25782712108 45972.85443251355 9333.631651989963 5402.189744686262 13022.49539885 6 1982 101655.69523825926 48626.426400488635 9872.372689866636 5714.006347095089 13467.98482994601 6 1983 110119.28092506662 53353.591315590245 10832.104614725418 6269.48723121748 15766.45203965875 6 1984 124303.5092001832 61278.47839969475 12441.053587759634 7200.726856470508 17477.38970981009 6 1985 126595.4729153697 72436.9164726229 14706.49374956509 8511.935404827627 21357.667218341994 6 1986 130796.37675991641 79421.29703643244 16124.496531959472 9332.657753277526 24747.26071581163 6 1987 136949.46533222307 89939.2949550645 18259.91143061495 10568.609298859183 29169.873183938675 6 1988 140433.74440328806 102753.77047817009 20240.274289695364 12444.517907813512 31500.62223648442 6 1989 144752.02644349143 102726.90669706423 18585.498872444587 12045.92373388096 28840.598387041602 6 1990 155359.30865097183 103857.54312662853 16009.664171667959 10333.248612250309 29182.785921071838 6 1991 159087.684325992 117380.464430292 17545.75458490957 11342.875186746853 31974.064723389914 6 1992 166566.1122787945 145099.27530431503 18292.937257386733 12552.35200495757 38697.583006345696 6 1993 174397.55919085976 179038.58372590304 21755.108379221816 12998.873510122829 45662.19714692269 6 1994 181374.32862260463 229234.3566415063 25124.183578975397 13543.017164438932 51906.919430940674 6 1995 190444.4385496261 293532.53271976346 34191.0874256793 18450.14721820064 58341.801828012125 6 1996 200158.65324442572 333720.0491866298 36820.182114367555 18924.544391895302 63306.33906522496 6 1997 207163.2925940071 368590.35520958534 41277.9203685271 23685.839451496056 64963.44862183223 6 1998 214412.5678890425 400340.8864532194 42821.50801665309 28977.71925394508 70821.05924713468 6 1999 220416.11978993574 430023.4113546913 47481.79707818456 34844.40065579689 73853.43390707385 6 2000 225706.0779279122 466665.6071827977 58842.837490595186 36979.48239400304 78040.35211055088 6 2001 232026.00857688286 509624.91748463066 58860.59277227855 42771.547508042335 83334.05398435422 6 2002 238754.8214577816 560306.9317601209 61623.92582143337 50271.42957991981 90657.22914538029 6 2003 244723.57627283974 631506.6268613825 70621.67376257626 55785.21351099297 101611.77245709402 6 2004 260141.22718433995 670682.3291969394 98865.51429976773 75601.4894113703 109872.8095578558 6 2005 273748.487774046 748324.4711984446 110310.7693275924 84353.56371073547 126585.04526160768 6 2006 287435.9121627484 870334.4883952552 121780.59467706362 72293.79046379843 147239.290461974 6 2007 298071.04091277 1004849.0825141772 133722.59182882542 84434.0867865947 170104.38001878318 6 2008 311708.75538201455 1110095.2136394589 147728.46164443574 93277.56500040894 186523.36037079184 6 2009 324749.2434879906 1207014.3575204427 160626.19857142656 101421.35449888217 221133.34201765328 6 2010 338620.23225162644 1352625.1903939417 180003.69346994383 113656.5427613304 250916.70350204606 6 2011 . . . . . 6 2012 . . . . . 7 1970 4166.08956278226 6096.705315576166 1867.8060020608802 1195.187578990279 2933.284089633269 7 1971 4267.720071074892 6612.174997849354 1781.8200480018113 1306.7384196960384 3144.597708073326 7 1972 4515.515804777153 7215.752117827384 1659.21044684351 1471.4087083569211 3201.087487260272 7 1973 4622.287777814628 7831.29011507595 1734.8287385859464 1699.4152342569348 3832.5777400196935 7 1974 4878.711177596934 8483.707446580545 1275.7722402303477 1760.7445384035761 4122.937013126807 7 1975 5160.787583888245 8588.685749537071 1324.656792467882 1882.9085555343866 3714.567827509241 7 1976 5318.332243405078 8965.147072487252 1297.3501871164472 1904.1759755207215 4048.837765736522 7 1977 5492.143362350697 9094.316027864194 1135.4201078296132 1969.4620089671464 4357.310188205705 7 1978 5937.844350699436 10001.145994446908 1061.520413626778 2170.26602093115 4245.886875463278 7 1979 6225.5206856465575 10613.215143423866 1073.9325069683393 2396.294182181272 4221.736009647186 7 1980 6363.332263233388 10741.745100434986 1271.9531345867902 2576.8199564838856 4838.955296242551 7 1981 6567.116333651066 10457.29954216322 1340.5060808886453 2661.3950452667546 5182.556250807869 7 1982 6442.744584838183 10306.678498790812 1363.9935805965235 2746.959316374569 5392.229676756674 7 1983 6623.702279401696 10424.528054544617 1557.4312814427053 2789.4941563472394 6090.6836938243505 end label values country country label def country 5 "chile", modify label def country 6 "china", modify label def country 7 "colombia", modify
1) country
2) sector
3) year
I assume this implies also that the value added data for the different sectors would not be depicted in columns anymore, but would be depicted row-wise, in the sense that each country has e.g. 5 datapoints for each year, namely for agriculture, mining, manufacturing, utilities, construction.
If anybody has an idea if and how this can be achieved, I would be very grateful.
Best,
Satya
0 Response to Panel data with three identifiers
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