dear all, i have a panel data in wide format which i have been struggling to reshape to long format. it has variables on the row and country and year on the columns.
----------------------- copy starting from the next line -----------------------
------------------ copy up to and including the previous line ------------------
above is the data
----------------------- copy starting from the next line -----------------------
Code:
* Example generated by -dataex-. For more info, type help dataex clear input str53 indicators double(angola2010 benin2010 botswana2010 burkinafaso2010 burundi2010 capeverde2010 cameroon2010 angola2011 benin2011 botswana2011 burkinafaso2011 burundi2011 capeverde2011 cameroon2011) "Nominal GDP (PPP)" 1.53887e+11 21750364351 26231500743 20844117539 5762788018 2806636559 54515742872 1.62539e+11 22860401007 29344195184 22680149402 6116117137 2976613884 57992159989 "Real GDP" 5.84836e+12 5.3768e+12 6.81701e+10 3.3629e+12 1.508e+12 1.2097e+11 1.12362e+13 7.96905e+12 5.5361e+12 7.22933e+10 3.5857e+12 1.56867e+12 1.27525e+11 1.17001e+13 "Final Consumption (PPP)" . 19505254678 . . . 2286024856 . . 20358059922 . . . 2420039918 . "Total Tax Revenues (PPP)" . . . 2547904375 771132994.3 521654810.2 6083384570 12788509255 2468281799 3849492708 3028881191 951820911.4 587480209.5 6901207654 "Total Number Of Registered Taxpayers" . . 183575 . 1577 . . . . 222577 . 2080 . . "Non-Tax-Revenues (PPP)" . . . . . . 2028837487 37604404198 145927209.7 562843351 . 71409100.17 . 2601012118 "Domestic Tax Revenues (PPP)" . . . 1433354675 390653597.2 252128094.7 3798064712 7921521943 1192024334 2793273191 1657560244 445377664.7 265338114.7 4507168872 "Customs Tax Revenues (PPP)" . . . 1114549701 380479397.2 269526715.6 2285319858 4866987311 1276257465 1056219517 1371320947 506443246.7 322142094.9 2394038783 "Revenue From Agriculture, Forest & Fishing (PPP)" . . . 447347.6 . . 162923122.6 . . . 546470.41 . . 289119528 "Revenue From Mining & Quarrying (PPP)" . . . 99578149.29 736562.61 . 356790854.2 . . . 291023299.4 2008489.96 . 407373762.1 "Revenue From Secondary Sector (PPP)" . . . 192058111.1 . . 2818703176 . . . 198838015.6 . . 3156825447 "Revenue From Tertiary Sector (PPP)" . . . 14810637.24 . . 3032938870 . . . 22962765.45 . . 3348538205 "Domestic VAT Revenues (PPP)" . . . 563153295.3 138584422.7 87924811.93 1260977627 813821570.1 477030315.2 740514417.9 579573168.3 142560537.1 81697601.68 1564809074 "VAT Refunded (PPP)" . . . 36086811.95 . 9843690.07 287979024.2 . . 466857901.1 103264207.1 11110803.13 7785419.23 299949213.5 "PIT Revenues (PPP)" . . . 303915508.6 97415112.9 94082181.85 712673133.8 1392564233 273711146.5 806360952.6 341683589.2 120619198.5 98137734.82 814680397 "CIT Revenues (PPP)" . . . 314129703.8 119616536.3 65766382.01 1079516630 1821580252 168555447.8 1712618771 548479382.1 150266608.8 76485858.12 1303279880 "Withholding Tax Revenues (PPP)" . . . . 8854563.75 . . 1540606083 101392587.8 . . 16946821.18 . . "Presumptive Tax Revenues (PPP)" . . . . 11710806.72 . . . 3985261.72 . . 1974687.27 . . "Other Domestic Tax Revenues (PPP)" . . . 196899632.6 3659603.39 14198408.93 392889277.5 2352949806 105287873.1 636951.24 192118661.9 5451225.63 16802339.26 425994910.9 "VAT On Import Revenues (PPP)" . . . 543811402.9 166860789.9 125172849.1 1091890995 1781987506 581263530.1 998247694.1 686424797.3 230795172.7 151804607.7 1167259067 "Import Duty Revenues (PPP)" . . . 406104209.5 68509550.81 109131280 1101945000 1635313301 372538524.1 57971822.92 452440755.4 60925226.68 119487773.1 1126476866 "Excises on Imports Revenues (PPP)" . . . 12685916.76 123064719.2 24852279.25 54463401.42 . 17057292.39 . 16648377.06 130115697.2 34329090.75 66445453.56 "Other Customs Tax Revenues (PPP)" . . . 151948171.6 22044337.31 10370307.23 37020461.4 1449686505 305398117.9 . 215807017.1 84607150.12 16520623.39 33857395.86 end
above is the data
Comment