Dear all,
I need your help in the following issue in coding my data.
I have a data set for a year for households with exposure to different types of shocks. Uniquely Identified level is household => shock_id => shock_month => shock_year
One household can expose to more than one shocks.
Hence the same shock can be reported two or three times as it happens at different month/year.
I would like to know:
1) how many households (or percentage of households) exposure to a specific type of shock, i.e. floods, droughts....regardless of month or year?
2) How many shocks a households have experienced regardless of month or year?
Since shock_id is not uniquely identified, if I use "by" and "count" command, one shock can be counted two times for a household.
Can you suggest me another way to answer my two questions?
Much thanks!
I need your help in the following issue in coding my data.
I have a data set for a year for households with exposure to different types of shocks. Uniquely Identified level is household => shock_id => shock_month => shock_year
One household can expose to more than one shocks.
Hence the same shock can be reported two or three times as it happens at different month/year.
I would like to know:
1) how many households (or percentage of households) exposure to a specific type of shock, i.e. floods, droughts....regardless of month or year?
2) How many shocks a households have experienced regardless of month or year?
Since shock_id is not uniquely identified, if I use "by" and "count" command, one shock can be counted two times for a household.
Can you suggest me another way to answer my two questions?
Much thanks!
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input long(hhid2014 shock_id) byte shock_month int shock_year 16 3 5 2014 16 3 6 2013 20 3 8 2013 20 8 5 2013 31 3 12 2013 31 7 8 2013 39 6 5 2013 39 8 8 2013 43 10 10 2013 43 11 5 2014 43 12 4 2013 46 6 8 2013 46 8 4 2014 60 3 3 2014 60 8 4 2014 61 3 6 2014 61 3 7 2012 63 3 5 2014 63 9 4 2014 67 3 1 2014 67 11 11 2013 69 3 7 2013 69 8 10 2013 70 3 8 2012 70 8 2 2014 74 3 2 2014 74 8 6 2013 77 3 10 2013 77 8 6 2014 82 3 1 2014 82 8 6 2014 84 3 3 2014 84 8 9 2013 87 8 11 2012 87 15 10 2012 91 8 3 2014 91 9 3 2014 95 3 4 2014 95 3 5 2014 95 3 6 2014 97 3 7 2013 97 8 12 2013 99 3 12 2013 99 8 5 2014 101 7 2 2014 101 8 5 2014 101 16 5 2014 108 3 5 2014 108 6 6 2013 111 3 4 2014 111 5 7 2013 111 6 9 2013 112 5 7 2013 112 6 4 2014 116 3 8 2013 116 3 12 2013 119 3 12 2013 119 5 4 2013 119 6 7 2013 120 3 1 2014 120 4 5 2013 120 4 8 2012 121 6 4 2013 121 6 4 2014 121 6 7 2012 122 3 6 2014 122 8 3 2013 122 8 3 2014 123 8 9 2013 123 14 12 2013 124 3 7 2012 124 6 5 2013 125 3 5 2014 125 8 5 2013 125 8 5 2014 126 8 3 2013 126 8 3 2014 126 8 10 2013 136 3 7 2013 136 9 12 2013 144 3 4 2014 144 9 12 2013 153 3 2 2014 153 8 12 2013 174 8 8 2013 174 9 12 2013 177 10 9 2013 177 11 5 2013 177 12 12 2013 180 3 9 2013 180 6 2 2013 180 8 11 2013 183 8 3 2014 183 9 8 2013 187 6 3 2014 187 8 9 2013 187 9 2 2014 188 6 3 2014 188 7 12 2013 188 9 2 2014 190 7 1 2014 190 8 4 2014 193 7 1 2014 193 8 3 2014 194 7 1 2014 194 8 2 2014 194 9 3 2014 195 6 5 2013 195 8 9 2013 195 9 2 2014 196 6 3 2014 196 8 3 2014 196 9 2 2014 197 6 3 2014 197 7 12 2013 197 8 3 2014 198 6 3 2014 198 7 12 2013 198 8 2 2014 199 6 4 2014 199 8 9 2013 199 9 12 2013 200 7 12 2013 200 8 9 2013 200 9 12 2013 202 6 3 2014 202 8 8 2013 202 9 4 2014 203 6 3 2014 203 8 9 2013 203 9 12 2013 206 6 3 2013 206 8 4 2014 208 7 12 2013 208 9 3 2014 209 7 1 2014 209 8 5 2014 210 6 8 2013 210 7 12 2013 210 9 12 2013 211 7 1 2014 211 8 1 2014 214 6 3 2014 214 7 1 2014 214 8 2 2014 216 6 3 2014 216 7 12 2013 216 9 10 2013 217 6 8 2013 217 8 7 2014 218 6 3 2014 218 8 9 2013 218 9 2 2014 219 6 3 2014 219 7 12 2013 219 9 12 2013 220 7 12 2013 220 8 3 2014 220 9 12 2013 221 6 4 2014 221 8 9 2013 221 9 2 2014 223 3 5 2013 223 8 9 2013 223 9 12 2013 225 7 1 2014 225 8 4 2014 226 7 12 2013 226 8 3 2014 227 7 1 2014 227 8 4 2014 228 6 3 2014 228 7 12 2013 228 9 2 2014 229 6 3 2014 229 7 12 2013 229 9 12 2013 230 9 2 2014 230 12 2 2013 231 6 2 2014 231 8 8 2013 235 6 5 2014 235 8 4 2014 237 6 4 2014 237 8 12 2013 239 6 4 2014 239 8 6 2013 241 6 5 2014 241 8 4 2014 242 6 4 2014 242 9 12 2013 244 6 4 2014 244 7 11 2013 244 8 10 2013 245 6 3 2014 245 6 12 2013 245 9 4 2014 247 6 3 2014 247 8 9 2013 247 9 12 2013 251 6 4 2014 251 7 11 2013 251 8 2 2014 252 7 2 2013 252 8 9 2013 252 9 12 2013 254 6 4 2014 254 8 9 2013 255 6 3 2014 255 7 7 2013 255 8 12 2013 257 6 2 2014 257 8 3 2014 260 6 8 2013 260 8 2 2014 263 6 5 2014 263 8 4 2014 264 3 3 2014 264 6 5 2014 264 8 1 2014 265 6 8 2013 265 8 3 2014 266 8 8 2013 266 9 1 2014 267 7 7 2013 267 8 9 2013 267 9 12 2013 268 6 3 2014 268 8 7 2013 268 9 3 2014 270 6 3 2014 270 8 9 2013 270 9 12 2013 271 6 3 2014 271 7 7 2013 271 9 12 2013 272 6 3 2014 272 8 12 2013 272 9 2 2014 273 6 8 2013 273 8 2 2014 273 8 4 2014 274 6 2 2014 274 9 2 2014 275 6 8 2013 275 8 2 2014 276 6 3 2014 276 7 8 2014 276 9 3 2014 278 6 3 2014 278 8 9 2013 278 9 12 2013 279 6 5 2014 279 8 3 2014 281 6 3 2014 281 9 11 2013 282 6 3 2014 282 7 8 2013 282 8 12 2013 283 6 2 2014 283 7 3 2013 283 8 10 2013 284 6 3 2014 284 12 10 2013 288 6 3 2014 288 7 8 2013 288 9 12 2013 289 3 10 2013 289 6 4 2013 290 6 4 2014 290 8 3 2014 291 6 2 2014 291 8 1 2013 291 9 3 2014 292 6 3 2014 292 7 7 2013 292 8 12 2013 294 6 4 2013 294 7 11 2013 294 8 2 2013 295 6 3 2014 295 9 3 2014 296 6 5 2014 296 8 4 2014 298 6 3 2014 298 8 9 2013 298 9 12 2013 299 6 11 2013 299 8 3 2014 299 9 4 2013 300 6 3 2014 300 8 2 2013 300 9 2 2014 301 6 5 2014 301 8 3 2014 303 6 3 2014 303 8 2 2014 304 6 11 2013 304 8 4 2014 304 9 4 2014 305 6 3 2014 305 8 12 2013 305 11 12 2013 307 6 4 2014 307 8 12 2013 308 6 3 2014 308 7 12 2013 308 9 12 2013 309 6 5 2014 309 8 3 2014 310 6 3 2014 310 8 9 2013 310 9 12 2013 312 6 3 2014 312 8 3 2014 312 9 12 2013 313 6 3 2014 313 8 9 2013 313 9 2 2014 315 6 5 2014 315 8 4 2014 316 6 3 2014 316 9 2 2014 317 7 12 2013 317 8 9 2013 317 9 2 2014 318 6 3 2014 318 8 9 2013 318 9 12 2013 323 6 5 2014 323 8 4 2013 325 6 3 2014 325 8 10 2013 325 9 3 2014 326 6 1 2014 326 9 3 2014 327 6 3 2014 327 8 4 2014 328 6 4 2014 328 8 3 2011 330 8 3 2014 330 9 12 2013 336 8 12 2013 336 9 3 2014 339 5 7 2013 339 8 4 2014 339 9 3 2014 340 10 99 2012 340 11 99 2013 340 12 99 2013 341 8 2 2013 341 9 1 2013 341 10 4 2013 342 6 3 2014 342 7 7 2013 342 8 5 2014 343 6 5 2014 343 8 8 2013 346 5 7 2013 346 8 4 2014 349 6 4 2014 349 9 11 2013 350 5 7 2013 350 7 9 2013 350 8 12 2013 351 5 7 2013 351 7 12 2013 351 8 12 2013 356 7 7 2013 356 8 12 2013 359 6 3 2014 359 8 3 2014 359 9 2 2014 360 7 12 2013 360 9 3 2014 361 7 7 2013 361 8 12 2013 364 6 3 2014 364 7 12 2013 365 6 3 2014 365 7 12 2013 365 9 2 2014 373 5 7 2013 373 6 1 2014 373 7 4 2014 374 7 7 2013 374 8 12 2013 376 7 1 2014 376 8 4 2014 377 7 1 2014 377 8 4 2014 378 6 3 2014 378 7 12 2013 378 9 2 2014 382 7 12 2013 382 8 11 2013 382 9 3 2014 383 6 3 2014 383 8 8 2013 384 7 12 2013 384 8 12 2013 389 6 3 2014 389 7 12 2013 389 9 2 2014 391 6 9 2013 391 8 3 2014 392 6 2 2014 392 7 12 2013 392 8 3 2014 393 6 4 2014 393 8 11 2013 396 8 8 2013 396 9 3 2014 397 8 1 2014 397 9 3 2014 399 6 4 2014 399 16 3 2014 404 6 4 2013 404 8 2 2014 409 8 3 2014 409 9 12 2013 411 6 5 2014 411 8 3 2014 413 6 5 2013 413 8 5 2014 415 5 8 2013 415 6 3 2014 415 9 2 2013 416 6 3 2014 416 8 9 2013 416 9 12 2013 417 6 3 2014 417 8 8 2013 417 9 12 2013 418 6 3 2014 418 6 7 2013 418 9 12 2013 419 3 2 2014 419 3 4 2013 419 3 8 2013 423 8 1 2014 423 8 8 2013 434 3 2 2014 434 6 10 2013 443 3 10 2013 443 6 6 2014 443 6 10 2013 446 8 6 2014 446 8 8 2013 453 7 5 2013 453 16 12 2013 455 3 9 2013 455 8 7 2013 458 8 7 2013 458 8 10 2013 474 8 6 2014 474 8 10 2013 480 8 4 2013 480 8 4 2014 485 8 4 2013 485 8 4 2014 488 8 8 2013 488 12 12 2013 489 5 8 2013 489 8 5 2013 489 12 11 2013 491 5 9 2013 491 6 4 2013 491 9 11 2013 492 6 5 2013 492 8 12 2013 493 6 4 2014 493 12 12 2013 497 7 8 2013 497 8 4 2013 498 7 7 2013 498 8 10 2013 500 7 8 2013 500 8 11 2013 502 5 8 2013 502 6 5 2013 502 12 11 2013 503 7 9 2013 503 8 11 2013 505 6 11 2013 505 8 2 2014 509 5 8 2013 509 8 4 2013 509 9 11 2013 511 7 7 2013 511 8 11 2013 513 7 7 2013 513 8 10 2013 514 6 10 2013 514 8 2 2014 515 6 5 2013 515 8 10 2013 516 7 8 2013 516 8 10 2013 519 3 9 2012 519 7 8 2013 519 8 12 2013 520 6 11 2013 520 8 2 2014 522 7 12 2013 522 8 2 2013 523 6 10 2013 523 8 2 2014 524 3 8 2013 524 8 3 2013 524 12 12 2013 525 7 7 2013 525 8 10 2013 527 6 10 2013 527 8 2 2013 531 7 8 2013 531 8 11 2013 532 5 7 2013 532 6 4 2013 532 9 11 2013 533 7 6 2013 533 8 10 2013 534 6 8 2013 534 8 12 2013 538 6 5 2013 538 8 10 2013 539 7 8 2013 539 8 11 2012 540 6 1 2014 540 8 10 2013 541 7 7 2013 541 8 12 2013 543 6 1 2014 543 7 8 2013 543 8 12 2013 546 5 8 2013 546 8 11 2013 548 4 6 2014 548 7 7 2013 548 8 11 2013 550 6 12 2013 550 7 7 2013 550 8 12 2013 551 6 3 2014 551 8 2 2014 553 7 7 2013 553 8 12 2013 556 6 4 2014 556 8 1 2014 557 5 8 2013 557 9 11 2013 558 5 8 2013 558 6 4 2013 558 12 12 2013 559 5 8 2013 559 6 4 2013 559 8 11 2013 560 6 11 2013 560 8 1 2014 561 7 7 2013 561 8 10 2013 563 6 10 2013 563 8 3 2014 564 6 5 2013 564 12 12 2013 567 5 8 2013 567 6 5 2013 568 3 9 2013 568 7 7 2013 569 7 7 2013 569 8 12 2012 570 3 10 2013 570 7 7 2013 570 8 9 2013 571 7 7 2013 571 8 11 2013 572 7 8 2013 572 8 10 2013 573 6 4 2013 573 12 12 2013 574 5 8 2013 574 6 4 2013 574 8 12 2013 575 5 9 2013 575 8 12 2013 576 7 8 2013 576 8 5 2013 577 6 10 2013 577 8 2 2014 579 3 4 2013 579 7 8 2013 580 6 11 2013 580 8 2 2014 581 6 12 2013 581 7 7 2013 581 8 5 2013 583 7 7 2013 583 8 12 2013 584 5 8 2013 584 8 1 2014 584 12 3 2014 585 8 9 2013 585 10 2 2014 587 7 7 2013 587 8 11 2013 589 5 8 2013 589 6 10 2013 589 8 3 2013 592 6 10 2013 592 7 7 2013 596 8 6 2013 596 9 11 2013 598 6 11 2013 598 8 2 2014 599 6 10 2013 599 8 9 2013 599 9 10 2013 600 6 5 2013 600 8 8 2013 601 10 12 2013 601 12 11 2013 601 13 4 2013 602 8 11 2013 602 9 11 2013 603 3 11 2013 603 10 12 2013 603 12 12 2013 614 5 8 2013 614 12 12 2013 617 6 99 2013 617 7 99 2013 618 3 5 2013 618 7 7 2013 619 3 9 2013 619 7 8 2012 619 8 2 2014 620 7 6 2013 620 8 2 2014 627 5 7 2013 627 8 12 2013 628 6 6 2013 628 9 12 2013 631 6 10 2013 631 8 2 2014 642 6 11 2013 642 8 2 2014 645 8 2 2014 645 9 1 2014 646 6 10 2013 646 8 1 2014 649 6 10 2013 649 8 2 2014 654 6 10 2013 654 8 1 2014 658 6 12 2012 658 7 7 2013 658 8 4 2013 659 6 4 2013 659 8 9 2013 662 5 8 2013 662 6 4 2013 662 11 12 2013 665 5 8 2013 665 6 4 2013 668 6 10 2013 668 8 2 2014 669 6 11 2013 669 8 1 2014 673 7 1 2013 673 8 7 2012 674 6 10 2013 674 8 11 2013 676 7 7 2013 676 8 12 2012 678 7 7 2013 678 8 12 2013 681 7 8 2013 681 8 8 2012 686 5 8 2013 686 6 6 2013 686 8 12 2013 688 3 4 2013 688 5 7 2013 689 5 8 2013 689 6 4 2013 689 12 10 2013 690 7 7 2013 690 8 1 2013 691 6 10 2013 691 8 2 2014 693 5 8 2013 693 8 11 2013 696 6 6 2013 696 8 12 2013 697 6 6 2013 697 8 12 2013 698 5 8 2013 698 9 12 2013 699 3 1 2013 699 8 9 2013 end label values shock_id p44q2a_new label def p44q2a_new 3 "11.serious illness of hh member", modify label def p44q2a_new 4 "12.another shocks", modify label def p44q2a_new 5 "1a.floods", modify label def p44q2a_new 6 "1b.drouhgts", modify label def p44q2a_new 7 "1c.typhoons", modify label def p44q2a_new 8 "2.pest infestation and crop diseases", modify label def p44q2a_new 9 "3.avian flu", modify label def p44q2a_new 10 "4a.change in crop price", modify label def p44q2a_new 11 "4b.change in price of inputs", modify label def p44q2a_new 12 "5.foods and essentials price change", modify label def p44q2a_new 13 "6.unemployment", modify label def p44q2a_new 14 "7.unsuccessful investment", modify label def p44q2a_new 15 "8.loss of land", modify label def p44q2a_new 16 "9.crime(robbery)", modify label values shock_month p44Q2B_ label def p44Q2B_ 99 "don't remember", modify
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