1{2 "id": "https://openalex.org/W2924198847",3 "doi": "https://doi.org/10.1080/09599916.2019.1587489",4 "title": "A machine learning approach to big data regression analysis of real estate prices for inferential and predictive purposes",5 "display_name": "A machine learning approach to big data regression analysis of real estate prices for inferential and predictive purposes",6 "publication_year": 2019,7 "publication_date": "2019-01-02",8 "ids": {9 "openalex": "https://openalex.org/W2924198847",10 "doi": "https://doi.org/10.1080/09599916.2019.1587489",11 "mag": "2924198847"12 },13 "language": "en",14 "primary_location": {15 "id": "doi:10.1080/09599916.2019.1587489",16 "doi": "https://doi.org/10.1080/09599916.2019.1587489",17 "is_oa": false,18 "landing_page_url": "https://doi.org/10.1080/09599916.2019.1587489",19 "pdf_url": null,20 "source": {21 "id": "https://openalex.org/S23257470",22 "display_name": "Journal of Property Research",23 "issn_l": "0959-9916",24 "issn": [25 "0959-9916",26 "1466-4453"27 ],28 "is_oa": false,29 "is_in_doaj": false,30 "is_core": true,31 "listed_in": [32 "abdc-b",33 "cwts-core",34 "jufo-1",35 "norway-1"36 ],37 "host_organization": "https://openalex.org/P4310320547",38 "host_organization_name": "Taylor & Francis",39 "host_organization_lineage": [40 "https://openalex.org/P4310320547",41 "https://openalex.org/P4310320449"42 ],43 "host_organization_lineage_names": [44 "Taylor & Francis",45 "Informa"46 ],47 "type": "journal"48 },49 "license": null,50 "license_id": null,51 "version": "publishedVersion",52 "is_accepted": true,53 "is_published": true,54 "raw_source_name": "Journal of Property Research",55 "raw_type": "journal-article"56 },57 "volume": null,58 "type": "article",59 "indexed_in": [60 "crossref"61 ],62 "open_access": {63 "is_oa": false,64 "oa_status": "closed",65 "oa_url": null,66 "any_repository_has_fulltext": false67 },68 "authorships": [69 {70 "author_position": "first",71 "author": {72 "id": "https://openalex.org/A5061936814",73 "display_name": "Jorge Iv\u00e1n P\u00e9rez Rave",74 "orcid": "https://orcid.org/0000-0003-1166-5545",75 "observed_orcids": [76 "https://orcid.org/0000-0003-1166-5545"77 ]78 },79 "institutions": [],80 "countries": [],81 "is_corresponding": true,82 "raw_author_name": "Jorge Iv\u00e1n P\u00e9rez-Rave",83 "raw_affiliation_strings": [84 "Grupo de investigaci\u00f3n IDINNOV, IDINNOV S.A.S, Medell\u00edn, Colombia"85 ],86 "raw_orcid": "https://orcid.org/0000-0003-1166-5545",87 "affiliations": [88 {89 "raw_affiliation_string": "Grupo de investigaci\u00f3n IDINNOV, IDINNOV S.A.S, Medell\u00edn, Colombia",90 "institution_ids": []91 }92 ]93 },94 {95 "author_position": "middle",96 "author": {97 "id": "https://openalex.org/A5075894117",98 "display_name": "Juan Carlos Correa",99 "orcid": "https://orcid.org/0000-0002-9368-4725",100 "observed_orcids": [101 "https://orcid.org/0000-0002-9368-4725"102 ]103 },104 "institutions": [105 {106 "id": "https://openalex.org/I36243813",107 "display_name": "Universidad Nacional de Colombia",108 "ror": "https://ror.org/059yx9a68",109 "country_code": "CO",110 "type": "education",111 "lineage": [112 "https://openalex.org/I36243813"113 ]114 }115 ],116 "countries": [117 "CO"118 ],119 "is_corresponding": false,120 "raw_author_name": "Juan Carlos Correa-Morales",121 "raw_affiliation_strings": [122 "Escuela de Estad\u00edstica, Universidad Nacional de Colombia, Medell\u00edn, Colombia"123 ],124 "raw_orcid": "https://orcid.org/0000-0002-9368-4725",125 "affiliations": [126 {127 "raw_affiliation_string": "Escuela de Estad\u00edstica, Universidad Nacional de Colombia, Medell\u00edn, Colombia",128 "institution_ids": [129 "https://openalex.org/I36243813"130 ]131 }132 ]133 },134 {135 "author_position": "last",136 "author": {137 "id": "https://openalex.org/A5061838396",138 "display_name": "Favi\u00e1n Gonz\u00e1lez Echavarr\u00eda",139 "orcid": "https://orcid.org/0000-0002-1540-9859",140 "observed_orcids": [141 "https://orcid.org/0000-0002-1540-9859"142 ]143 },144 "institutions": [145 {146 "id": "https://openalex.org/I35961687",147 "display_name": "Universidad de Antioquia",148 "ror": "https://ror.org/03bp5hc83",149 "country_code": "CO",150 "type": "education",151 "lineage": [152 "https://openalex.org/I35961687"153 ]154 }155 ],156 "countries": [157 "CO"158 ],159 "is_corresponding": false,160 "raw_author_name": "Favi\u00e1n Gonz\u00e1lez-Echavarr\u00eda",161 "raw_affiliation_strings": [162 "Departamento de Ingenier\u00eda Industrial, Universidad de Antioquia, Medell\u00edn, Colombia"163 ],164 "raw_orcid": "https://orcid.org/0000-0002-1540-9859",165 "affiliations": [166 {167 "raw_affiliation_string": "Departamento de Ingenier\u00eda Industrial, Universidad de Antioquia, Medell\u00edn, Colombia",168 "institution_ids": [169 "https://openalex.org/I35961687"170 ]171 }172 ]173 }174 ],175 "institutions": [],176 "countries_distinct_count": 1,177 "institutions_distinct_count": 2,178 "corresponding_author_ids": [179 "https://openalex.org/A5061936814"180 ],181 "corresponding_institution_ids": [],182 "apc_list": null,183 "apc_paid": null,184 "fwci": 15.1988,185 "has_fulltext": false,186 "cited_by_count": 91,187 "citation_normalized_percentile": {188 "value": 0.98889223,189 "is_in_top_1_percent": false,190 "is_in_top_10_percent": true191 },192 "cited_by_percentile_year": {193 "min": 99,194 "max": 100195 },196 "biblio": {197 "volume": "36",198 "issue": "1",199 "first_page": "59",200 "last_page": "96"201 },202 "is_retracted": false,203 "is_paratext": false,204 "is_xpac": false,205 "primary_topic": {206 "id": "https://openalex.org/T10632",207 "display_name": "Housing Market and Economics",208 "score": 0.9872999787330627,209 "subfield": {210 "id": "https://openalex.org/subfields/2002",211 "display_name": "Economics and Econometrics"212 },213 "field": {214 "id": "https://openalex.org/fields/20",215 "display_name": "Economics, Econometrics and Finance"216 },217 "domain": {218 "id": "https://openalex.org/domains/2",219 "display_name": "Social Sciences"220 }221 },222 "topics": [223 {224 "id": "https://openalex.org/T10632",225 "display_name": "Housing Market and Economics",226 "score": 0.9872999787330627,227 "subfield": {228 "id": "https://openalex.org/subfields/2002",229 "display_name": "Economics and Econometrics"230 },231 "field": {232 "id": "https://openalex.org/fields/20",233 "display_name": "Economics, Econometrics and Finance"234 },235 "domain": {236 "id": "https://openalex.org/domains/2",237 "display_name": "Social Sciences"238 }239 },240 {241 "id": "https://openalex.org/T10136",242 "display_name": "Statistical Methods and Inference",243 "score": 0.0010000000474974513,244 "subfield": {245 "id": "https://openalex.org/subfields/2613",246 "display_name": "Statistics and Probability"247 },248 "field": {249 "id": "https://openalex.org/fields/26",250 "display_name": "Mathematics"251 },252 "domain": {253 "id": "https://openalex.org/domains/3",254 "display_name": "Physical Sciences"255 }256 },257 {258 "id": "https://openalex.org/T13141",259 "display_name": "Statistical Methods and Applications",260 "score": 0.0008999999845400453,261 "subfield": {262 "id": "https://openalex.org/subfields/2613",263 "display_name": "Statistics and Probability"264 },265 "field": {266 "id": "https://openalex.org/fields/26",267 "display_name": "Mathematics"268 },269 "domain": {270 "id": "https://openalex.org/domains/3",271 "display_name": "Physical Sciences"272 }273 }274 ],275 "keywords": [276 {277 "id": "https://openalex.org/keywords/real-estate-prices",278 "display_name": "real estate prices",279 "score": 0.9789999723434448280 },281 {282 "id": "https://openalex.org/keywords/hedonic-pricing",283 "display_name": "hedonic pricing",284 "score": 0.7760000228881836285 },286 {287 "id": "https://openalex.org/keywords/machine-learning",288 "display_name": "machine learning",289 "score": 0.718999981880188290 },291 {292 "id": "https://openalex.org/keywords/feature-selection",293 "display_name": "feature selection",294 "score": 0.8349999785423279295 },296 {297 "id": "https://openalex.org/keywords/price-forecasting",298 "display_name": "price forecasting",299 "score": 0.5540000200271606300 },301 {302 "id": "https://openalex.org/keywords/parsimonious-models",303 "display_name": "parsimonious models",304 "score": 0.6060000061988831305 },306 {307 "id": "https://openalex.org/keywords/model-stability",308 "display_name": "model stability",309 "score": 0.4819999933242798310 }311 ],312 "concepts": [313 {314 "id": "https://openalex.org/C150921843",315 "wikidata": "https://www.wikidata.org/wiki/Q1170431",316 "display_name": "Resampling",317 "level": 2,318 "score": 0.6317682266235352319 },320 {321 "id": "https://openalex.org/C198531522",322 "wikidata": "https://www.wikidata.org/wiki/Q485146",323 "display_name": "Sample (material)",324 "level": 2,325 "score": 0.6136910915374756326 },327 {328 "id": "https://openalex.org/C2776502983",329 "wikidata": "https://www.wikidata.org/wiki/Q690182",330 "display_name": "Contrast (vision)",331 "level": 2,332 "score": 0.6033506393432617333 },334 {335 "id": "https://openalex.org/C75684735",336 "wikidata": "https://www.wikidata.org/wiki/Q858810",337 "display_name": "Big data",338 "level": 2,339 "score": 0.5871862173080444340 },341 {342 "id": "https://openalex.org/C41008148",343 "wikidata": "https://www.wikidata.org/wiki/Q21198",344 "display_name": "Computer science",345 "level": 0,346 "score": 0.5676414966583252347 },348 {349 "id": "https://openalex.org/C119857082",350 "wikidata": "https://www.wikidata.org/wiki/Q2539",351 "display_name": "Machine learning",352 "level": 1,353 "score": 0.5332790017127991354 },355 {356 "id": "https://openalex.org/C82279013",357 "wikidata": "https://www.wikidata.org/wiki/Q684740",358 "display_name": "Real estate",359 "level": 2,360 "score": 0.5265836119651794361 },362 {363 "id": "https://openalex.org/C152877465",364 "wikidata": "https://www.wikidata.org/wiki/Q208042",365 "display_name": "Regression analysis",366 "level": 2,367 "score": 0.5237848162651062368 },369 {370 "id": "https://openalex.org/C83546350",371 "wikidata": "https://www.wikidata.org/wiki/Q1139051",372 "display_name": "Regression",373 "level": 2,374 "score": 0.4859515428543091375 },376 {377 "id": "https://openalex.org/C149782125",378 "wikidata": "https://www.wikidata.org/wiki/Q160039",379 "display_name": "Econometrics",380 "level": 1,381 "score": 0.4859012961387634382 },383 {384 "id": "https://openalex.org/C154945302",385 "wikidata": "https://www.wikidata.org/wiki/Q11660",386 "display_name": "Artificial intelligence",387 "level": 1,388 "score": 0.45535755157470703389 },390 {391 "id": "https://openalex.org/C105795698",392 "wikidata": "https://www.wikidata.org/wiki/Q12483",393 "display_name": "Statistics",394 "level": 1,395 "score": 0.31357574462890625396 },397 {398 "id": "https://openalex.org/C124101348",399 "wikidata": "https://www.wikidata.org/wiki/Q172491",400 "display_name": "Data mining",401 "level": 1,402 "score": 0.27748656272888184403 },404 {405 "id": "https://openalex.org/C33923547",406 "wikidata": "https://www.wikidata.org/wiki/Q395",407 "display_name": "Mathematics",408 "level": 0,409 "score": 0.1693040132522583410 },411 {412 "id": "https://openalex.org/C162324750",413 "wikidata": "https://www.wikidata.org/wiki/Q8134",414 "display_name": "Economics",415 "level": 0,416 "score": 0.13824507594108582417 },418 {419 "id": "https://openalex.org/C10138342",420 "wikidata": "https://www.wikidata.org/wiki/Q43015",421 "display_name": "Finance",422 "level": 1,423 "score": 0.11392781138420105424 },425 {426 "id": "https://openalex.org/C43617362",427 "wikidata": "https://www.wikidata.org/wiki/Q170050",428 "display_name": "Chromatography",429 "level": 1,430 "score": 0.0431 },432 {433 "id": "https://openalex.org/C185592680",434 "wikidata": "https://www.wikidata.org/wiki/Q2329",435 "display_name": "Chemistry",436 "level": 0,437 "score": 0.0438 }439 ],440 "mesh": [],441 "locations_count": 2,442 "locations": [443 {444 "id": "doi:10.1080/09599916.2019.1587489",445 "doi": "https://doi.org/10.1080/09599916.2019.1587489",446 "is_oa": false,447 "landing_page_url": "https://doi.org/10.1080/09599916.2019.1587489",448 "pdf_url": null,449 "source": {450 "id": "https://openalex.org/S23257470",451 "display_name": "Journal of Property Research",452 "issn_l": "0959-9916",453 "issn": [454 "0959-9916",455 "1466-4453"456 ],457 "is_oa": false,458 "is_in_doaj": false,459 "is_core": true,460 "listed_in": [461 "abdc-b",462 "cwts-core",463 "jufo-1",464 "norway-1"465 ],466 "host_organization": "https://openalex.org/P4310320547",467 "host_organization_name": "Taylor & Francis",468 "host_organization_lineage": [469 "https://openalex.org/P4310320547",470 "https://openalex.org/P4310320449"471 ],472 "host_organization_lineage_names": [473 "Taylor & Francis",474 "Informa"475 ],476 "type": "journal"477 },478 "license": null,479 "license_id": null,480 "version": "publishedVersion",481 "is_accepted": true,482 "is_published": true,483 "raw_source_name": "Journal of Property Research",484 "raw_type": "journal-article"485 },486 {487 "id": "pmh:oai:RePEc:taf:jpropr:v:36:y:2019:i:1:p:59-96",488 "doi": null,489 "is_oa": false,490 "landing_page_url": "http://hdl.handle.net/10.1080/09599916.2019.1587489",491 "pdf_url": null,492 "source": {493 "id": "https://openalex.org/S4306401271",494 "display_name": "RePEc: Research Papers in Economics",495 "issn_l": null,496 "issn": null,497 "is_oa": false,498 "is_in_doaj": false,499 "is_core": false,500 "listed_in": [],501 "host_organization": "https://openalex.org/I77793887",502 "host_organization_name": "Federal Reserve Bank of St. Louis",503 "host_organization_lineage": [504 "https://openalex.org/I77793887"505 ],506 "host_organization_lineage_names": [],507 "type": "repository"508 },509 "license": null,510 "license_id": null,511 "version": "submittedVersion",512 "is_accepted": false,513 "is_published": false,514 "raw_source_name": null,515 "raw_type": "article"516 }517 ],518 "best_oa_location": null,519 "sustainable_development_goals": [],520 "sustainable_development_goals_aurora": [521 {522 "display_name": "Decent work and economic growth",523 "id": "https://metadata.un.org/sdg/8",524 "score": 0.6399999856948853525 }526 ],527 "study_designs": [],528 "awards": [],529 "funders": [],530 "has_content": {531 "grobid_xml": false,532 "pdf": false533 },534 "content_urls": null,535 "referenced_works_count": 46,536 "referenced_works": [537 "https://openalex.org/W759920836",538 "https://openalex.org/W1518183131",539 "https://openalex.org/W1526762968",540 "https://openalex.org/W1546922693",541 "https://openalex.org/W1554944419",542 "https://openalex.org/W1584435046",543 "https://openalex.org/W1628374830",544 "https://openalex.org/W1673864217",545 "https://openalex.org/W1729469618",546 "https://openalex.org/W1908971489",547 "https://openalex.org/W1923382502",548 "https://openalex.org/W1986347518",549 "https://openalex.org/W2023321853",550 "https://openalex.org/W2051688880",551 "https://openalex.org/W2072458142",552 "https://openalex.org/W2077520869",553 "https://openalex.org/W2077981172",554 "https://openalex.org/W2097022543",555 "https://openalex.org/W2122112123",556 "https://openalex.org/W2144428395",557 "https://openalex.org/W2155419203",558 "https://openalex.org/W2157520488",559 "https://openalex.org/W2159568298",560 "https://openalex.org/W2205759419",561 "https://openalex.org/W2264030999",562 "https://openalex.org/W2327019432",563 "https://openalex.org/W2335991931",564 "https://openalex.org/W2507593325",565 "https://openalex.org/W2515759791",566 "https://openalex.org/W2528662334",567 "https://openalex.org/W2557090559",568 "https://openalex.org/W2560327549",569 "https://openalex.org/W2585575883",570 "https://openalex.org/W2595582230",571 "https://openalex.org/W2610886376",572 "https://openalex.org/W2742747496",573 "https://openalex.org/W2770958024",574 "https://openalex.org/W2772638665",575 "https://openalex.org/W2787894218",576 "https://openalex.org/W2791315675",577 "https://openalex.org/W2801461565",578 "https://openalex.org/W2905548390",579 "https://openalex.org/W3125602998",580 "https://openalex.org/W3126041111",581 "https://openalex.org/W4249300276",582 "https://openalex.org/W4391485547"583 ],584 "related_works": [585 "https://openalex.org/W2052515325",586 "https://openalex.org/W2050948537",587 "https://openalex.org/W2767646790",588 "https://openalex.org/W4390608645",589 "https://openalex.org/W2352041579",590 "https://openalex.org/W4247566972",591 "https://openalex.org/W2138381686",592 "https://openalex.org/W2960264696",593 "https://openalex.org/W3090563135",594 "https://openalex.org/W1998176685"595 ],596 "abstract_inverted_index": {597 "The": [598 0,599 57,600 72,601 79,602 93,603 117,604 123605 ],606 "hedonic": [607 1608 ],609 "price": [610 2611 ],612 "regressions": [613 3614 ],615 "have": [616 4617 ],618 "mainly": [619 5620 ],621 "been": [622 6623 ],624 "used": [625 7,626 87627 ],628 "for": [629 8,630 22,631 51,632 141,633 156,634 163,635 190636 ],637 "inference.": [638 9639 ],640 "In": [641 10,642 147643 ],644 "contrast,": [645 11646 ],647 "machine": [648 12,649 37,650 142651 ],652 "learning": [653 13,654 38655 ],656 "employed": [657 14658 ],659 "on": [660 15,661 76,662 134663 ],664 "big": [665 16,666 45,667 191668 ],669 "data": [670 17,671 82,672 97,673 192674 ],675 "has": [676 18677 ],678 "a": [679 19,680 36,681 60,682 101,683 114684 ],685 "great": [686 20687 ],688 "potential": [689 21690 ],691 "prediction.": [692 23693 ],694 "To": [695 24696 ],697 "contribute": [698 25699 ],700 "to": [701 26,702 40,703 186704 ],705 "the": [706 27,707 41,708 96,709 104,710 126,711 131,712 135,713 151,714 173,715 179716 ],717 "integration": [718 28719 ],720 "of": [721 29,722 44,723 63,724 103,725 120,726 172,727 178728 ],729 "these": [730 30731 ],732 "two": [733 31,734 77,735 121736 ],737 "strategies,": [738 32739 ],740 "this": [741 33742 ],743 "article": [744 34745 ],746 "proposes": [747 35748 ],749 "approach": [750 39751 ],752 "regression": [753 42,754 181,755 193756 ],757 "analysis": [758 43759 ],760 "data,": [761 46762 ],763 "viz.": [764 47765 ],766 "real": [767 48768 ],769 "estate": [770 49771 ],772 "prices,": [773 50774 ],775 "both": [776 52,777 148778 ],779 "inferential": [780 53,781 174782 ],783 "and": [784 54,785 111,786 138,787 160,788 175789 ],790 "predictive": [791 55,792 176793 ],794 "purposes.": [795 56796 ],797 "methodology": [798 58,799 73,800 118,801 152,802 189803 ],804 "incorporates": [805 59806 ],807 "new": [808 61809 ],810 "procedure": [811 62,812 140813 ],814 "selecting": [815 64816 ],817 "variables,": [818 65819 ],820 "called": [821 66822 ],823 "\u2018incremental": [824 67825 ],826 "sample": [827 68,828 102,829 165830 ],831 "with": [832 69833 ],834 "resampling\u2019": [835 70836 ],837 "(MINREM).": [838 71839 ],840 "is": [841 74,842 81843 ],844 "tested": [845 75846 ],847 "cases.": [848 78849 ],850 "first": [851 80,852 124853 ],854 "from": [855 83,856 100857 ],858 "web": [859 84860 ],861 "advertisements": [862 85863 ],864 "selling": [865 86866 ],867 "homes": [868 88869 ],870 "in": [871 89872 ],873 "Colombia": [874 90875 ],876 "(61,826": [877 91878 ],879 "observations).": [880 92881 ],882 "second": [883 94,884 132885 ],886 "considers": [887 95888 ],889 "(58,888": [890 98891 ],892 "observations)": [893 99894 ],895 "Metropolitan": [896 105897 ],898 "American": [899 106900 ],901 "Housing": [902 107903 ],904 "Survey": [905 108906 ],907 "2011": [908 109909 ],910 "obtained": [911 110,912 180913 ],914 "prepared": [915 112916 ],917 "by": [918 113919 ],920 "reference": [921 115922 ],923 "study.": [924 116925 ],926 "consists": [927 119928 ],929 "stages.": [930 122931 ],932 "chooses": [933 125934 ],935 "important": [936 127937 ],938 "variables": [939 128940 ],941 "under": [942 129943 ],944 "MINREM;": [945 130946 ],947 "focuses": [948 133949 ],950 "traditional": [951 136952 ],953 "training": [954 137955 ],956 "validation": [957 139958 ],959 "learning,": [960 143961 ],962 "adding": [963 144964 ],965 "three": [966 145967 ],968 "activities.": [969 146970 ],971 "test": [972 149973 ],974 "cases,": [975 150976 ],977 "shows": [978 153979 ],980 "its": [981 154982 ],983 "value": [984 155985 ],986 "obtaining": [987 157988 ],989 "highly": [990 158991 ],992 "parsimonious": [993 159994 ],995 "stable": [996 161997 ],998 "models": [999 1621000 ],1001 "different": [1002 1641003 ],1004 "sizes,": [1005 1661006 ],1007 "as": [1008 167,1009 1691010 ],1011 "well": [1012 1681013 ],1014 "taking": [1015 1701016 ],1017 "advantage": [1018 1711019 ],1020 "use": [1021 1771022 ],1023 "functions.": [1024 1821025 ],1026 "This": [1027 1831028 ],1029 "paper": [1030 1841031 ],1032 "contributes": [1033 1851034 ],1035 "an": [1036 1871037 ],1038 "original": [1039 1881040 ],1041 "analysis.": [1042 1941043 ]1044 },1045 "counts_by_year": [1046 {1047 "year": 2026,1048 "cited_by_count": 61049 },1050 {1051 "year": 2025,1052 "cited_by_count": 131053 },1054 {1055 "year": 2024,1056 "cited_by_count": 91057 },1058 {1059 "year": 2023,1060 "cited_by_count": 141061 },1062 {1063 "year": 2022,1064 "cited_by_count": 231065 },1066 {1067 "year": 2021,1068 "cited_by_count": 171069 },1070 {1071 "year": 2020,1072 "cited_by_count": 91073 }1074 ],1075 "updated_date": "2026-09-29T14:09:16.559479",1076 "created_date": "2025-10-10T00:00:00"1077}