Hi,
I'm using the dataset below and I'm looking to highlight potential clusters of kin members in specific socioeconomic contexts (variable context). Contexts vary through time (census) and dyads too. Dyads are based on the kinship typology (parent-children, siblings, uncles/aunts-nephews/nieces and so on). The example below contains only parent-child dyads, but I'm working at the population level (as opposed to the sample level), so I basically use all parent-child dyads there are in the census. The dyadic data is in long format: individuals can have repeated measures per dyad but also multiple dyads (one for each parent for example. I expect a heavy computation for cousins...).
My outcome variable "same_context" is dichotomous and take the value 1 if both members of the dyad inhabited the same context for a specific census year.
My first intuition (linked directly to my research question) is that individuals are nested in dyads and dyads are nested in contexts. The multiple membership aspect of the data seems to orientate towards a cross-classified model such as:
.
However, I am still gathering information on how some variable should be entered in the model. For example, census. Should I treat census years as continuous or categorical? Should I remove level 3 and consider the contexts as a fixed effect? Should I add an interaction between contexts and censuses? I am not so sure that dyads are nested in contexts since and individual can share the same context with a parent and live in a different one with the other.
I'm using the dataset below and I'm looking to highlight potential clusters of kin members in specific socioeconomic contexts (variable context). Contexts vary through time (census) and dyads too. Dyads are based on the kinship typology (parent-children, siblings, uncles/aunts-nephews/nieces and so on). The example below contains only parent-child dyads, but I'm working at the population level (as opposed to the sample level), so I basically use all parent-child dyads there are in the census. The dyadic data is in long format: individuals can have repeated measures per dyad but also multiple dyads (one for each parent for example. I expect a heavy computation for cousins...).
My outcome variable "same_context" is dichotomous and take the value 1 if both members of the dyad inhabited the same context for a specific census year.
My first intuition (linked directly to my research question) is that individuals are nested in dyads and dyads are nested in contexts. The multiple membership aspect of the data seems to orientate towards a cross-classified model such as:
Code:
melogit same_context kin2 ego_sex i.contexts census c.census#c.census || all_: contexts || dyads:
However, I am still gathering information on how some variable should be entered in the model. For example, census. Should I treat census years as continuous or categorical? Should I remove level 3 and consider the contexts as a fixed effect? Should I add an interaction between contexts and censuses? I am not so sure that dyads are nested in contexts since and individual can share the same context with a parent and live in a different one with the other.
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input long ego int census byte(head kin2 same_context ego_sex) long dyad 338206 1851 1 2 1 2 6802706 1099995 1901 0 1 1 2 1312353 257008 1901 0 1 1 2 5266528 951228 1851 0 1 1 1 10059236 16357573 1851 1 2 1 2 3318645 5267049 1851 1 2 1 2 6609346 684194 1901 1 2 1 2 11287570 5217174 1851 1 2 1 2 6204950 373954 1851 1 2 1 1 7549426 311725 1911 0 1 1 2 6194640 710997 1891 1 1 0 2 7776816 383663 1851 1 2 1 2 7772531 5275088 1851 1 2 1 2 6248381 306768 1911 1 2 1 1 5978000 951556 1851 0 1 1 1 10066321 5217693 1851 1 1 1 1 9880621 5276520 1851 1 2 1 2 5664898 195739 1901 0 1 1 2 4112086 13750662 1851 1 2 1 2 2582236 27713833 1901 0 1 1 1 5701448 257076 1901 1 2 1 2 5267683 257076 1901 1 2 1 2 5267684 645120 1891 1 2 1 1 5394379 5241018 1851 1 2 1 2 6529679 4946984 1851 0 1 1 1 9158261 5279404 1851 1 2 1 1 10192162 373122 1851 1 2 1 1 7530807 370095 1851 1 1 1 1 7464433 444352 1851 0 1 1 2 8649162 660932 1891 1 2 1 2 11209418 257472 1901 1 2 1 1 5274624 264932 1901 0 1 1 1 5423727 5270199 1851 1 2 1 1 6339448 315126 1851 0 2 1 2 6253150 375168 1851 0 1 1 1 7577446 312427 1851 0 1 1 1 6208487 5224191 1851 1 2 1 1 6850123 297385 1901 0 1 1 1 5006557 5284668 1891 0 2 0 1 9197727 257090 1901 0 1 1 2 5268420 257090 1901 0 1 1 2 5267683 5006910 1901 1 2 1 2 221167 265260 1901 0 1 1 1 5433181 5220379 1851 1 2 1 1 10005576 675516 1891 0 1 1 2 9767446 340898 1851 0 1 1 1 6876136 12799872 1851 0 1 1 2 2374598 5266286 1851 1 2 1 1 10136503 13274806 1851 0 2 1 1 2439377 667476 1901 1 2 1 2 11236042 799524 1901 0 1 1 1 11347361 721804 1901 1 2 1 2 5272408 4945367 1851 0 1 1 1 4509016 752724 1901 0 1 1 2 11236040 298552 1911 0 1 1 2 5263920 382572 1851 0 1 1 2 7750740 1002481 1851 0 1 1 2 40328 5262181 1851 1 2 1 2 10127951 649858 1851 0 1 1 1 10163854 308499 1851 0 2 1 2 6142002 21183739 1851 0 1 1 2 4512689 740819 1891 0 1 1 2 11474865 1079814 1891 0 1 1 1 1009807 329724 1851 0 1 1 1 6569600 5247958 1851 1 2 1 2 10085211 123808 1911 1 2 1 1 2272316 999850 1901 0 1 1 1 12255826 5270199 1851 1 2 1 1 6336069 666904 1911 0 1 1 1 11233713 386219 1851 0 1 1 1 7845697 666889 1911 0 1 1 2 2272313 374016 1891 1 2 1 2 1011673 312311 1851 0 1 1 1 6205434 666698 1911 0 1 1 2 11233040 5205147 1861 1 2 1 2 9907211 5218592 1851 0 2 1 1 6604722 381093 1851 1 2 1 1 7707829 374069 1851 1 1 1 2 7551878 5237485 1851 1 2 1 1 10050149 374069 1851 1 1 1 2 7551879 312037 1851 0 1 1 1 6197251 321373 1851 0 1 1 2 6354112 379880 1851 1 2 1 2 7684181 5180335 1851 1 2 1 2 9553229 337108 1851 0 1 1 2 6763777 5276438 1851 1 2 1 1 10175109 5253312 1851 0 2 1 2 10104032 312168 1851 0 1 1 1 6200988 16137591 1851 0 2 1 2 3253932 232334 1891 0 2 1 1 4853724 14096308 1851 0 1 1 1 2687481 292817 1901 0 1 1 2 5155525 16886330 1851 1 2 1 2 3480827 5261016 1851 1 2 1 2 10125268 356069 1861 1 2 1 2 4399020 5242640 1851 1 2 1 2 6203283 13429804 1851 1 2 1 2 2485764 537312 1891 0 1 1 2 10261856 718906 1851 0 1 1 1 10136501 5226037 1901 1 2 1 1 10030339 5272913 1851 1 2 1 1 6468474 316339 1851 0 1 1 1 6272912 5279389 1851 1 2 1 2 6562023 309993 1851 0 1 1 2 6168438 325919 1861 0 1 1 1 6494578 377881 1891 1 2 1 1 7642513 5275477 1851 1 2 1 1 6305842 5237478 1851 1 2 1 1 6890326 5272662 1851 0 2 1 2 6269846 5263784 1851 1 2 1 1 10130572 639446 1851 0 1 1 2 10005575 5028441 1851 1 2 1 1 8926946 269302 1911 1 1 1 2 5525355 791348 1901 1 2 0 2 11770420 26561949 1911 0 1 1 2 5441244 27103436 1911 0 1 1 1 5470411 1061486 1901 1 2 1 1 701363 635220 1851 0 1 1 1 10162839 257274 1901 0 1 1 1 5271422 299499 1901 1 2 1 1 6055649 257274 1911 0 1 1 1 5271422 374076 1851 0 1 1 2 7552065 321510 1851 0 1 1 1 6358904 321427 1851 0 1 1 1 6355842 5202965 1851 1 2 1 2 9895819 730880 1901 1 2 1 1 294746 299521 1901 0 1 1 1 4892785 700129 1891 1 2 1 2 11372085 257281 1911 1 2 1 2 5271607 5276894 1851 1 2 1 1 10179632 257281 1911 1 2 1 2 5271613 5272708 1851 1 2 1 2 6222786 332677 1851 0 1 1 1 6635695 257282 1901 0 1 1 1 5271823 257282 1911 0 1 1 1 5271823 880068 1901 0 1 1 1 1890756 316148 1851 0 1 1 2 6268608 328184 1851 0 1 1 1 6544802 446990 1851 0 1 1 2 8684272 5246371 1851 1 2 1 2 10078237 374077 1851 1 1 1 1 7552402 640865 1851 0 1 1 2 11108145 5176292 1851 1 2 1 1 9219206 5217358 1851 1 2 1 2 6168203 305371 1911 0 1 1 2 6103746 5280822 1851 1 1 1 2 10125543 5246295 1851 0 2 1 2 6592573 257342 1901 0 1 1 2 5272739 5237418 1851 1 2 1 1 6543648 317780 1851 0 1 1 1 6301860 257343 1901 0 1 1 1 5272923 257343 1911 0 1 1 1 5272923 257343 1911 0 1 1 1 5272896 654045 1851 0 1 1 1 10209145 370423 1851 1 2 1 2 7467058 733443 1891 0 1 1 2 9274374 705542 1891 1 1 1 1 6169282 251868 1901 1 2 0 1 5131798 257342 1901 0 1 1 2 5272766 863936 1901 1 1 1 2 11937381 267938 1911 1 1 0 1 5494055 807113 1911 0 1 1 1 11516292 717380 1911 1 2 1 1 11459025 5278062 1851 1 1 1 2 10042172 651740 1851 0 1 1 1 10164809 5276520 1851 1 2 1 2 10176149 335520 1851 1 2 1 1 6706319 5208564 1851 0 2 1 2 7146125 5276766 1851 1 2 1 2 10178214 249052 1911 1 2 1 2 5091129 5247966 1851 1 2 1 1 10085415 723146 1891 1 2 1 1 11488594 5239995 1851 1 2 1 2 6137131 700082 1891 1 2 1 2 5644691 33741263 1851 0 1 1 1 6613428 341479 1851 0 1 1 1 6887545 257472 1901 1 2 1 1 5273852 864066 1901 1 2 1 2 11937328 324210 1851 0 1 1 2 6437018 257472 1901 1 2 1 1 5273385 5218639 1851 1 2 1 2 6697697 398833 1891 1 2 1 2 7978038 201276 1901 0 1 1 1 4205906 320138 1851 0 1 1 1 6332944 27177891 1911 0 1 1 1 4894039 242752 1891 1 1 0 2 4994124 332418 1851 0 1 1 1 6630345 710180 1851 0 1 1 2 11079241 951236 1851 0 1 1 1 10059238 253218 1901 0 1 1 1 5157625 950793 1851 0 1 1 2 10099470 645830 1901 1 2 1 2 5730039 723161 1851 0 1 1 2 9765611 374152 1851 0 1 1 1 7555352 5272982 1851 1 2 1 2 10160320 13769356 1851 1 2 1 2 2587382 345290 1851 0 1 1 2 6972688 715900 1911 1 2 1 1 6084246 308117 1851 0 1 1 2 6132177 5240179 1851 1 2 1 2 6721911 332364 1851 0 1 1 2 6629561 5247958 1851 1 2 1 2 10085212 61974 1901 0 1 1 2 10402303 5224191 1861 1 2 1 1 6852632 311649 1911 0 1 1 2 6193545 738065 1911 0 2 1 2 11556390 667811 1891 1 2 1 1 11238674 272056 1891 0 1 1 1 5585092 5246669 1851 1 2 1 1 6215399 372787 1851 1 2 1 1 4910298 163804 1911 1 2 1 2 3327393 310573 1911 0 1 1 2 6174930 720461 1851 0 2 1 1 11475975 5219112 1851 0 2 1 2 6178499 258289 1911 1 1 0 2 5282373 734785 1901 0 1 1 1 11347828 374160 1851 1 2 1 1 6789237 1129039 1891 0 1 1 1 1776792 28554236 1891 0 1 1 1 5814716 343278 1851 0 1 1 1 6928865 11946596 1851 1 2 1 1 2156753 636944 1851 0 1 1 1 10050147 5237485 1851 1 2 1 1 10050144 5218449 1851 1 2 1 2 9994145 374198 1851 0 1 1 1 7556292 952074 1861 0 1 1 1 10167850 317308 1851 0 1 1 1 6287872 5208563 1851 0 2 1 1 7146124 246284 1891 1 2 1 2 5034033 5246623 1851 1 2 1 1 6301526 339098 1851 0 2 1 2 6830086 376585 1851 0 1 1 2 7525824 20335321 1851 0 1 1 1 4266812 719089 1911 1 2 1 2 5352148 643436 1851 0 1 1 1 10200368 5246760 1851 1 1 1 2 10081183 386240 1851 1 2 1 2 7847410 5278177 1851 1 2 1 2 10186161 716275 1851 0 1 1 2 10150065 951120 1851 0 1 1 1 10144732 314035 1911 0 1 1 2 6234662 340326 1851 0 1 1 1 6664397 340906 1851 0 1 1 2 6876245 640560 1851 0 1 1 1 10186539 1071379 1891 0 1 1 2 887950 5213322 1851 1 2 1 1 9955665 5210676 1851 1 2 1 1 8642417 646333 1851 0 1 1 1 10202596 717358 1911 1 1 1 2 11147369 347281 1891 1 2 1 1 1008953 end label values kin2 role label def role 1 "Parent", modify label def role 2 "Children", modify label values same_context same_context label def same_context 0 "No", modify label def same_context 1 "Yes", modify label values ego_sex sex label def sex 1 "Male", modify label def sex 2 "Female", modify
