{"@context":{"@language":"en","@vocab":"https://schema.org/","citeAs":"cr:citeAs","column":"cr:column","conformsTo":"dct:conformsTo","cr":"http://mlcommons.org/croissant/","rai":"http://mlcommons.org/croissant/RAI/","data":{"@id":"cr:data","@type":"@json"},"dataType":{"@id":"cr:dataType","@type":"@vocab"},"dct":"http://purl.org/dc/terms/","examples":{"@id":"cr:examples","@type":"@json"},"extract":"cr:extract","field":"cr:field","fileProperty":"cr:fileProperty","fileObject":"cr:fileObject","fileSet":"cr:fileSet","format":"cr:format","includes":"cr:includes","isLiveDataset":"cr:isLiveDataset","jsonPath":"cr:jsonPath","key":"cr:key","md5":"cr:md5","parentField":"cr:parentField","path":"cr:path","recordSet":"cr:recordSet","references":"cr:references","regex":"cr:regex","repeated":"cr:repeated","replace":"cr:replace","sc":"https://schema.org/","separator":"cr:separator","source":"cr:source","subField":"cr:subField","transform":"cr:transform","wd":"https://www.wikidata.org/wiki/"},"@type":"sc:Dataset","conformsTo":"http://mlcommons.org/croissant/1.0","name":"Replication Data for: Globalization, Internal Migration, and Public Goods Provision in Emerging Economies","url":"https://doi.org/10.7910/DVN/E0BJIZ","creator":[{"@type":"Person","givenName":"Benjamin","familyName":"Helms","affiliation":{"@type":"Organization","name":"Texas A&M University"},"name":"Helms, Benjamin"},{"@type":"Person","givenName":"Junghyun","familyName":"Lim","affiliation":{"@type":"Organization","name":"University of North Carolina at Chapel Hill"},"name":"Lim, Junghyun"}],"description":"Globalization can introduce new employment opportunities to emerging economies in multinational corporations and exporting firms. Who is best positioned to benefit, and what are the political consequences for ``left behind\" areas? We argue that primarily advantaged groups seize these opportunities through internal migration toward centers of global production - a costly activity not everyone can undertake. This selective out-migration creates demographic shifts in left-behind areas, weakening public goods provision. We test our argument in India, first documenting selective internal migration of advantaged groups. We then leverage the Indian IT export boom and explore its consequences for public goods provision. We find that the IT boom increased migration toward centers of production and away from left-behind localities. We also find that public goods provision was relatively weaker in unexposed localities, especially geographically distant ones. We identify migration as a mechanism through which globalization drives political change even in unexposed areas.","keywords":["Social Sciences","Globalization","Internal migration","Public goods"],"license":"https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/E0BJIZ","datePublished":"2025-08-29","dateModified":"2025-08-29","includedInDataCatalog":{"@type":"DataCatalog","name":"Harvard Dataverse","url":"https://dataverse.harvard.edu"},"publisher":{"@type":"Organization","name":"Harvard Dataverse"},"version":"1.0","citeAs":"@data{DVN/E0BJIZ_2025,author = {Helms, Benjamin and Lim, Junghyun},publisher = {Harvard Dataverse},title = {Replication Data for: Globalization, Internal Migration, and Public Goods Provision in Emerging Economies},year = {2025},url = {https://doi.org/10.7910/DVN/E0BJIZ}}","distribution":[{"@type":"cr:FileObject","@id":"capex_analysis_dataset.csv","name":"capex_analysis_dataset.csv","encodingFormat":"text/comma-separated-values","md5":"a310e8d5c68af5f7ec598e3c1c3d0357","contentSize":"318966","description":"District panel of CapEx IT investment projects.","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/11834877?format=original"},{"@type":"cr:FileObject","@id":"Codebook.pdf","name":"Codebook.pdf","encodingFormat":"application/pdf","md5":"183f51ca2a69644054cf03a808d28b67","contentSize":"148194","description":"Codebook for "Globalization, Internal Migration, and Public Goods Provision in Emerging Economies."","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/12015420"},{"@type":"cr:FileObject","@id":"economic_census_analysis_dataset.csv","name":"economic_census_analysis_dataset.csv","encodingFormat":"text/comma-separated-values","md5":"55f9d690e25bb1a607afdc0f1153e2ec","contentSize":"305027","description":"District panel of IT employment.","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/11834875?format=original"},{"@type":"cr:FileObject","@id":"employment_language_replication_code.R","name":"employment_language_replication_code.R","encodingFormat":"type/x-r-syntax","md5":"dbf99b0ee50a203a2f7b83cb8bc11ee3","contentSize":"11080","description":"This script includes code to replicate all results regarding language and IT employment (Tables S1, S2, S3, S4, S5; Figure 2).","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/12015421"},{"@type":"cr:FileObject","@id":"ihds_panel_analysis_dataset.csv","name":"ihds_panel_analysis_dataset.csv","encodingFormat":"text/comma-separated-values","md5":"e1fc35cbc31b66e9ef14668a24c2785d","contentSize":"5065905","description":"Household-level panel dataset of key India Human Development Survey (IHDS) Wave 1 and Wave 2 variables.","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/11834872?format=original"},{"@type":"cr:FileObject","@id":"ihds_wave1_analysis_dataset.csv","name":"ihds_wave1_analysis_dataset.csv","encodingFormat":"text/comma-separated-values","md5":"8a9b389a8780a2c5b5035d2b788f6f37","contentSize":"1420474","description":"Household-level dataset of key India Human Development Survey (IHDS) Wave 1 variables.","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/11834878?format=original"},{"@type":"cr:FileObject","@id":"individual_level_replication_code.R","name":"individual_level_replication_code.R","encodingFormat":"type/x-r-syntax","md5":"d96e315acd278f6e6d0901b79b10571b","contentSize":"21090","description":"This script includes code to replicate all results regarding individual-level selective migration patterns (Tables 1, 5, S15, S16; Figures 1, 4, S1, S2).","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/12015422"},{"@type":"cr:FileObject","@id":"language_analysis_dataset.csv","name":"language_analysis_dataset.csv","encodingFormat":"text/comma-separated-values","md5":"aaefb3f74ba97f45d1a8d9c63d77a931","contentSize":"7986","description":"Language-level dataset of multilingual and English speakers.","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/11834870?format=original"},{"@type":"cr:FileObject","@id":"migration_bilateral_analysis_dataset.csv","name":"migration_bilateral_analysis_dataset.csv","encodingFormat":"text/comma-separated-values","md5":"15f42bff0337d7c551ffaf63012790f2","contentSize":"24746745","description":"Origin state-destination district dyad panel of internal migration.","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/11834871?format=original"},{"@type":"cr:FileObject","@id":"migration_district_analysis_dataset.csv","name":"migration_district_analysis_dataset.csv","encodingFormat":"text/comma-separated-values","md5":"04ffd3421be0e2c208fda4487b36f242","contentSize":"421146","description":"District panel of internal migration.","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/11834873?format=original"},{"@type":"cr:FileObject","@id":"migration_replication_code.R","name":"migration_replication_code.R","encodingFormat":"type/x-r-syntax","md5":"85556cdad6a67768a2b45248b8ef20e6","contentSize":"32569","description":"This script includes code to replicate all internal migration-related results (Tables 2, S6, S7, S8; Figure 3).","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/12015423"},{"@type":"cr:FileObject","@id":"nss_analysis_dataset.csv","name":"nss_analysis_dataset.csv","encodingFormat":"text/comma-separated-values","md5":"985f91aa24a1d0bde713b1bb6e5af226","contentSize":"31068365","description":"Individual-level dataset of key National Sample Survey (NSS) variables.","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/11834874?format=original"},{"@type":"cr:FileObject","@id":"publicgoods_replication_code.R","name":"publicgoods_replication_code.R","encodingFormat":"type/x-r-syntax","md5":"0628453eb22e514fdab0b13f43237a73","contentSize":"28697","description":"This script includes code to replicate all public goods-related results (Tables 3, 4, S9, S10, S11, S12, S13, S14; Figure S3). ","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/12015424"},{"@type":"cr:FileObject","@id":"public_goods_analysis_dataset.csv","name":"public_goods_analysis_dataset.csv","encodingFormat":"text/comma-separated-values","md5":"42e44c3cfced1d6d6aedc75761ba51ea","contentSize":"360317","description":"District panel of public goods.","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/11835044?format=original"},{"@type":"cr:FileObject","@id":"readme.txt","name":"readme.txt","encodingFormat":"text/plain","md5":"326c063b5c015fd3848ed18f1e15dc11","contentSize":"7039","description":"Readme file for repository.","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/12015425"}],"recordSet":[{"@type":"cr:RecordSet","field":[{"@type":"cr:Field","name":"state_name","description":"state_name","dataType":"sc:Text","source":{"@id":"37907960","fileObject":{"@id":"capex_analysis_dataset.csv"},"extract":{"column":"state_name"}}},{"@type":"cr:Field","name":"district_name","description":"district_name","dataType":"sc:Text","source":{"@id":"37907958","fileObject":{"@id":"capex_analysis_dataset.csv"},"extract":{"column":"district_name"}}},{"@type":"cr:Field","name":"lingdis1_high75","description":"lingdis1_high75","dataType":"sc:Integer","source":{"@id":"37907959","fileObject":{"@id":"capex_analysis_dataset.csv"},"extract":{"column":"lingdis1_high75"}}},{"@type":"cr:Field","name":"ites_projects2","description":"ites_projects2","dataType":"sc:Integer","source":{"@id":"37907956","fileObject":{"@id":"capex_analysis_dataset.csv"},"extract":{"column":"ites_projects2"}}},{"@type":"cr:Field","name":"year","description":"year","dataType":"sc:Integer","source":{"@id":"37907957","fileObject":{"@id":"capex_analysis_dataset.csv"},"extract":{"column":"year"}}}]},{"@type":"cr:RecordSet","field":[{"@type":"cr:Field","name":"district_id","description":"district_id","dataType":"sc:Integer","source":{"@id":"37907951","fileObject":{"@id":"economic_census_analysis_dataset.csv"},"extract":{"column":"district_id"}}},{"@type":"cr:Field","name":"state_name","description":"state_name","dataType":"sc:Text","source":{"@id":"37907947","fileObject":{"@id":"economic_census_analysis_dataset.csv"},"extract":{"column":"state_name"}}},{"@type":"cr:Field","name":"district_name","description":"district_name","dataType":"sc:Text","source":{"@id":"37907939","fileObject":{"@id":"economic_census_analysis_dataset.csv"},"extract":{"column":"district_name"}}},{"@type":"cr:Field","name":"year","description":"year","dataType":"sc:Integer","source":{"@id":"37907953","fileObject":{"@id":"economic_census_analysis_dataset.csv"},"extract":{"column":"year"}}},{"@type":"cr:Field","name":"treated","description":"treated","dataType":"sc:Integer","source":{"@id":"37907944","fileObject":{"@id":"economic_census_analysis_dataset.csv"},"extract":{"column":"treated"}}},{"@type":"cr:Field","name":"linguistic_distance","description":"linguistic_distance","dataType":"sc:Float","source":{"@id":"37907943","fileObject":{"@id":"economic_census_analysis_dataset.csv"},"extract":{"column":"linguistic_distance"}}},{"@type":"cr:Field","name":"post","description":"post","dataType":"sc:Integer","source":{"@id":"37907948","fileObject":{"@id":"economic_census_analysis_dataset.csv"},"extract":{"column":"post"}}},{"@type":"cr:Field","name":"ites_employment_pop","description":"ites_employment_pop","dataType":"sc:Float","source":{"@id":"37907955","fileObject":{"@id":"economic_census_analysis_dataset.csv"},"extract":{"column":"ites_employment_pop"}}},{"@type":"cr:Field","name":"ites_employment_share","description":"ites_employment_share","dataType":"sc:Float","source":{"@id":"37907945","fileObject":{"@id":"economic_census_analysis_dataset.csv"},"extract":{"column":"ites_employment_share"}}},{"@type":"cr:Field","name":"native_english","description":"native_english","dataType":"sc:Float","source":{"@id":"37907940","fileObject":{"@id":"economic_census_analysis_dataset.csv"},"extract":{"column":"native_english"}}},{"@type":"cr:Field","name":"state_share_english","description":"state_share_english","dataType":"sc:Float","source":{"@id":"37907949","fileObject":{"@id":"economic_census_analysis_dataset.csv"},"extract":{"column":"state_share_english"}}},{"@type":"cr:Field","name":"pop","description":"pop","dataType":"sc:Float","source":{"@id":"37907954","fileObject":{"@id":"economic_census_analysis_dataset.csv"},"extract":{"column":"pop"}}},{"@type":"cr:Field","name":"percent_scst","description":"percent_scst","dataType":"sc:Float","source":{"@id":"37907952","fileObject":{"@id":"economic_census_analysis_dataset.csv"},"extract":{"column":"percent_scst"}}},{"@type":"cr:Field","name":"percent_lit","description":"percent_lit","dataType":"sc:Float","source":{"@id":"37907942","fileObject":{"@id":"economic_census_analysis_dataset.csv"},"extract":{"column":"percent_lit"}}},{"@type":"cr:Field","name":"percent_work","description":"percent_work","dataType":"sc:Float","source":{"@id":"37907941","fileObject":{"@id":"economic_census_analysis_dataset.csv"},"extract":{"column":"percent_work"}}},{"@type":"cr:Field","name":"percent_female","description":"percent_female","dataType":"sc:Float","source":{"@id":"37907950","fileObject":{"@id":"economic_census_analysis_dataset.csv"},"extract":{"column":"percent_female"}}},{"@type":"cr:Field","name":"percent_urban","description":"percent_urban","dataType":"sc:Float","source":{"@id":"37907946","fileObject":{"@id":"economic_census_analysis_dataset.csv"},"extract":{"column":"percent_urban"}}}]},{"@type":"cr:RecordSet","field":[{"@type":"cr:Field","name":"id2","description":"id2","dataType":"sc:Integer","source":{"@id":"37908021","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"id2"}}},{"@type":"cr:Field","name":"STATEID","description":"STATEID","dataType":"sc:Integer","source":{"@id":"37908001","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"STATEID"}}},{"@type":"cr:Field","name":"STATEID2","description":"STATEID2","dataType":"sc:Text","source":{"@id":"37907995","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"STATEID2"}}},{"@type":"cr:Field","name":"IPUM2001","description":"IPUM2001","dataType":"sc:Float","source":{"@id":"37908012","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"IPUM2001"}}},{"@type":"cr:Field","name":"have_nonres_w2","description":"have_nonres_w2","dataType":"sc:Integer","source":{"@id":"37907998","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"have_nonres_w2"}}},{"@type":"cr:Field","name":"have_nonres","description":"have_nonres","dataType":"sc:Float","source":{"@id":"37908002","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"have_nonres"}}},{"@type":"cr:Field","name":"b_out_s_w2","description":"b_out_s_w2","dataType":"sc:Integer","source":{"@id":"37908006","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"b_out_s_w2"}}},{"@type":"cr:Field","name":"b_out_s_w1","description":"b_out_s_w1","dataType":"sc:Float","source":{"@id":"37907999","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"b_out_s_w1"}}},{"@type":"cr:Field","name":"b_abroad","description":"b_abroad","dataType":"sc:Integer","source":{"@id":"37908005","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"b_abroad"}}},{"@type":"cr:Field","name":"b_diff_s","description":"b_diff_s","dataType":"sc:Integer","source":{"@id":"37908004","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"b_diff_s"}}},{"@type":"cr:Field","name":"b_same_s","description":"b_same_s","dataType":"sc:Float","source":{"@id":"37907994","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"b_same_s"}}},{"@type":"cr:Field","name":"ci_gov_med_w2","description":"ci_gov_med_w2","dataType":"sc:Float","source":{"@id":"37908009","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"ci_gov_med_w2"}}},{"@type":"cr:Field","name":"ci_med","description":"ci_med","dataType":"sc:Float","source":{"@id":"37908015","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"ci_med"}}},{"@type":"cr:Field","name":"ci_gov_school_w2","description":"ci_gov_school_w2","dataType":"sc:Float","source":{"@id":"37907990","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"ci_gov_school_w2"}}},{"@type":"cr:Field","name":"ci_school","description":"ci_school","dataType":"sc:Float","source":{"@id":"37908020","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"ci_school"}}},{"@type":"cr:Field","name":"GROUPS8","description":"GROUPS8","dataType":"sc:Text","source":{"@id":"37907997","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"GROUPS8"}}},{"@type":"cr:Field","name":"ID13","description":"ID13","dataType":"sc:Text","source":{"@id":"37908018","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"ID13"}}},{"@type":"cr:Field","name":"Brahmin","description":"Brahmin","dataType":"sc:Float","source":{"@id":"37907996","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"Brahmin"}}},{"@type":"cr:Field","name":"Muslim","description":"Muslim","dataType":"sc:Float","source":{"@id":"37908003","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"Muslim"}}},{"@type":"cr:Field","name":"SCST","description":"SCST","dataType":"sc:Float","source":{"@id":"37908010","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"SCST"}}},{"@type":"cr:Field","name":"Others","description":"Others","dataType":"sc:Float","source":{"@id":"37908013","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"Others"}}},{"@type":"cr:Field","name":"POOR","description":"POOR","dataType":"sc:Float","source":{"@id":"37908017","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"POOR"}}},{"@type":"cr:Field","name":"noba","description":"noba","dataType":"sc:Float","source":{"@id":"37908000","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"noba"}}},{"@type":"cr:Field","name":"NPERSONS","description":"NPERSONS","dataType":"sc:Float","source":{"@id":"37907991","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"NPERSONS"}}},{"@type":"cr:Field","name":"years_moved","description":"years_moved","dataType":"sc:Float","source":{"@id":"37908011","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"years_moved"}}},{"@type":"cr:Field","name":"bi_remit_w1","description":"bi_remit_w1","dataType":"sc:Float","source":{"@id":"37908007","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"bi_remit_w1"}}},{"@type":"cr:Field","name":"bi_remit_w2","description":"bi_remit_w2","dataType":"sc:Integer","source":{"@id":"37908016","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"bi_remit_w2"}}},{"@type":"cr:Field","name":"acq_gov","description":"acq_gov","dataType":"sc:Float","source":{"@id":"37907993","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"acq_gov"}}},{"@type":"cr:Field","name":"migrants_state","description":"migrants_state","dataType":"sc:Float","source":{"@id":"37908008","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"migrants_state"}}},{"@type":"cr:Field","name":"pop_state","description":"pop_state","dataType":"sc:Float","source":{"@id":"37908014","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"pop_state"}}},{"@type":"cr:Field","name":"migrants_pct","description":"migrants_pct","dataType":"sc:Float","source":{"@id":"37907992","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"migrants_pct"}}},{"@type":"cr:Field","name":"low_exposure","description":"low_exposure","dataType":"sc:Float","source":{"@id":"37908019","fileObject":{"@id":"ihds_panel_analysis_dataset.csv"},"extract":{"column":"low_exposure"}}}]},{"@type":"cr:RecordSet","field":[{"@type":"cr:Field","name":"id1","description":"id1","dataType":"sc:Integer","source":{"@id":"37907978","fileObject":{"@id":"ihds_wave1_analysis_dataset.csv"},"extract":{"column":"id1"}}},{"@type":"cr:Field","name":"ID13","description":"ID13","dataType":"sc:Text","source":{"@id":"37907983","fileObject":{"@id":"ihds_wave1_analysis_dataset.csv"},"extract":{"column":"ID13"}}},{"@type":"cr:Field","name":"acq_gov","description":"acq_gov","dataType":"sc:Float","source":{"@id":"37907984","fileObject":{"@id":"ihds_wave1_analysis_dataset.csv"},"extract":{"column":"acq_gov"}}},{"@type":"cr:Field","name":"have_nonres","description":"have_nonres","dataType":"sc:Integer","source":{"@id":"37907982","fileObject":{"@id":"ihds_wave1_analysis_dataset.csv"},"extract":{"column":"have_nonres"}}},{"@type":"cr:Field","name":"b_out_s_w1","description":"b_out_s_w1","dataType":"sc:Integer","source":{"@id":"37907988","fileObject":{"@id":"ihds_wave1_analysis_dataset.csv"},"extract":{"column":"b_out_s_w1"}}},{"@type":"cr:Field","name":"SCST","description":"SCST","dataType":"sc:Integer","source":{"@id":"37907981","fileObject":{"@id":"ihds_wave1_analysis_dataset.csv"},"extract":{"column":"SCST"}}},{"@type":"cr:Field","name":"Muslim","description":"Muslim","dataType":"sc:Integer","source":{"@id":"37907980","fileObject":{"@id":"ihds_wave1_analysis_dataset.csv"},"extract":{"column":"Muslim"}}},{"@type":"cr:Field","name":"noba_w1","description":"noba_w1","dataType":"sc:Float","source":{"@id":"37907985","fileObject":{"@id":"ihds_wave1_analysis_dataset.csv"},"extract":{"column":"noba_w1"}}},{"@type":"cr:Field","name":"POOR","description":"POOR","dataType":"sc:Float","source":{"@id":"37907987","fileObject":{"@id":"ihds_wave1_analysis_dataset.csv"},"extract":{"column":"POOR"}}},{"@type":"cr:Field","name":"NPERSONS","description":"NPERSONS","dataType":"sc:Integer","source":{"@id":"37907989","fileObject":{"@id":"ihds_wave1_analysis_dataset.csv"},"extract":{"column":"NPERSONS"}}},{"@type":"cr:Field","name":"years_moved","description":"years_moved","dataType":"sc:Float","source":{"@id":"37907986","fileObject":{"@id":"ihds_wave1_analysis_dataset.csv"},"extract":{"column":"years_moved"}}},{"@type":"cr:Field","name":"STATEID","description":"STATEID","dataType":"sc:Integer","source":{"@id":"37907979","fileObject":{"@id":"ihds_wave1_analysis_dataset.csv"},"extract":{"column":"STATEID"}}}]},{"@type":"cr:RecordSet","field":[{"@type":"cr:Field","name":"language1st","description":"language1st","dataType":"sc:Text","source":{"@id":"37907930","fileObject":{"@id":"language_analysis_dataset.csv"},"extract":{"column":"language1st"}}},{"@type":"cr:Field","name":"distance","description":"distance","dataType":"sc:Integer","source":{"@id":"37907935","fileObject":{"@id":"language_analysis_dataset.csv"},"extract":{"column":"distance"}}},{"@type":"cr:Field","name":"total_speakers","description":"total_speakers","dataType":"sc:Integer","source":{"@id":"37907932","fileObject":{"@id":"language_analysis_dataset.csv"},"extract":{"column":"total_speakers"}}},{"@type":"cr:Field","name":"multilinguals","description":"multilinguals","dataType":"sc:Integer","source":{"@id":"37907934","fileObject":{"@id":"language_analysis_dataset.csv"},"extract":{"column":"multilinguals"}}},{"@type":"cr:Field","name":"total_english_2nd","description":"total_english_2nd","dataType":"sc:Integer","source":{"@id":"37907937","fileObject":{"@id":"language_analysis_dataset.csv"},"extract":{"column":"total_english_2nd"}}},{"@type":"cr:Field","name":"total_english_3rd","description":"total_english_3rd","dataType":"sc:Integer","source":{"@id":"37907933","fileObject":{"@id":"language_analysis_dataset.csv"},"extract":{"column":"total_english_3rd"}}},{"@type":"cr:Field","name":"percent_english_total","description":"percent_english_total","dataType":"sc:Float","source":{"@id":"37907936","fileObject":{"@id":"language_analysis_dataset.csv"},"extract":{"column":"percent_english_total"}}},{"@type":"cr:Field","name":"percent_english_multilinguals","description":"percent_english_multilinguals","dataType":"sc:Float","source":{"@id":"37907938","fileObject":{"@id":"language_analysis_dataset.csv"},"extract":{"column":"percent_english_multilinguals"}}},{"@type":"cr:Field","name":"distance_0","description":"distance_0","dataType":"sc:Integer","source":{"@id":"37907931","fileObject":{"@id":"language_analysis_dataset.csv"},"extract":{"column":"distance_0"}}}]},{"@type":"cr:RecordSet","field":[{"@type":"cr:Field","name":"state_name_o","description":"state_name_o","dataType":"sc:Text","source":{"@id":"37908028","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"state_name_o"}}},{"@type":"cr:Field","name":"state_name_d","description":"state_name_d","dataType":"sc:Text","source":{"@id":"37908031","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"state_name_d"}}},{"@type":"cr:Field","name":"district_name_d","description":"district_name_d","dataType":"sc:Text","source":{"@id":"37908033","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"district_name_d"}}},{"@type":"cr:Field","name":"district_d_id","description":"district_d_id","dataType":"sc:Integer","source":{"@id":"37908048","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"district_d_id"}}},{"@type":"cr:Field","name":"dyad_id","description":"dyad_id","dataType":"sc:Integer","source":{"@id":"37908022","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"dyad_id"}}},{"@type":"cr:Field","name":"year_start","description":"year_start","dataType":"sc:Integer","source":{"@id":"37908042","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"year_start"}}},{"@type":"cr:Field","name":"year_census","description":"year_census","dataType":"sc:Integer","source":{"@id":"37908023","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"year_census"}}},{"@type":"cr:Field","name":"year_controls","description":"year_controls","dataType":"sc:Integer","source":{"@id":"37908049","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"year_controls"}}},{"@type":"cr:Field","name":"period","description":"period","dataType":"sc:Integer","source":{"@id":"37908058","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"period"}}},{"@type":"cr:Field","name":"period_length","description":"period_length","dataType":"sc:Integer","source":{"@id":"37908046","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"period_length"}}},{"@type":"cr:Field","name":"migration_length","description":"migration_length","dataType":"sc:Text","source":{"@id":"37908052","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"migration_length"}}},{"@type":"cr:Field","name":"migrants","description":"migrants","dataType":"sc:Integer","source":{"@id":"37908047","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"migrants"}}},{"@type":"cr:Field","name":"treated_o","description":"treated_o","dataType":"sc:Float","source":{"@id":"37908055","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"treated_o"}}},{"@type":"cr:Field","name":"treated_d","description":"treated_d","dataType":"sc:Integer","source":{"@id":"37908039","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"treated_d"}}},{"@type":"cr:Field","name":"untreated_treated","description":"untreated_treated","dataType":"sc:Float","source":{"@id":"37908027","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"untreated_treated"}}},{"@type":"cr:Field","name":"treated_treated","description":"treated_treated","dataType":"sc:Float","source":{"@id":"37908038","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"treated_treated"}}},{"@type":"cr:Field","name":"treated_untreated","description":"treated_untreated","dataType":"sc:Float","source":{"@id":"37908037","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"treated_untreated"}}},{"@type":"cr:Field","name":"untreated_untreated","description":"untreated_untreated","dataType":"sc:Float","source":{"@id":"37908044","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"untreated_untreated"}}},{"@type":"cr:Field","name":"post","description":"post","dataType":"sc:Integer","source":{"@id":"37908030","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"post"}}},{"@type":"cr:Field","name":"pop_o","description":"pop_o","dataType":"sc:Float","source":{"@id":"37908035","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"pop_o"}}},{"@type":"cr:Field","name":"percent_scst_o","description":"percent_scst_o","dataType":"sc:Float","source":{"@id":"37908036","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"percent_scst_o"}}},{"@type":"cr:Field","name":"percent_lit_o","description":"percent_lit_o","dataType":"sc:Float","source":{"@id":"37908032","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"percent_lit_o"}}},{"@type":"cr:Field","name":"percent_work_o","description":"percent_work_o","dataType":"sc:Float","source":{"@id":"37908040","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"percent_work_o"}}},{"@type":"cr:Field","name":"percent_female_o","description":"percent_female_o","dataType":"sc:Float","source":{"@id":"37908041","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"percent_female_o"}}},{"@type":"cr:Field","name":"percent_urban_o","description":"percent_urban_o","dataType":"sc:Float","source":{"@id":"37908025","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"percent_urban_o"}}},{"@type":"cr:Field","name":"pop_d","description":"pop_d","dataType":"sc:Float","source":{"@id":"37908024","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"pop_d"}}},{"@type":"cr:Field","name":"percent_scst_d","description":"percent_scst_d","dataType":"sc:Float","source":{"@id":"37908034","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"percent_scst_d"}}},{"@type":"cr:Field","name":"percent_lit_d","description":"percent_lit_d","dataType":"sc:Float","source":{"@id":"37908054","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"percent_lit_d"}}},{"@type":"cr:Field","name":"percent_work_d","description":"percent_work_d","dataType":"sc:Float","source":{"@id":"37908045","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"percent_work_d"}}},{"@type":"cr:Field","name":"percent_female_d","description":"percent_female_d","dataType":"sc:Float","source":{"@id":"37908043","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"percent_female_d"}}},{"@type":"cr:Field","name":"percent_urban_d","description":"percent_urban_d","dataType":"sc:Float","source":{"@id":"37908026","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"percent_urban_d"}}},{"@type":"cr:Field","name":"period_1","description":"period_1","dataType":"sc:Integer","source":{"@id":"37908056","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"period_1"}}},{"@type":"cr:Field","name":"period_2","description":"period_2","dataType":"sc:Integer","source":{"@id":"37908051","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"period_2"}}},{"@type":"cr:Field","name":"period_3","description":"period_3","dataType":"sc:Integer","source":{"@id":"37908057","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"period_3"}}},{"@type":"cr:Field","name":"period_4","description":"period_4","dataType":"sc:Integer","source":{"@id":"37908053","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"period_4"}}},{"@type":"cr:Field","name":"period_5","description":"period_5","dataType":"sc:Integer","source":{"@id":"37908029","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"period_5"}}},{"@type":"cr:Field","name":"period_6","description":"period_6","dataType":"sc:Integer","source":{"@id":"37908050","fileObject":{"@id":"migration_bilateral_analysis_dataset.csv"},"extract":{"column":"period_6"}}}]},{"@type":"cr:RecordSet","field":[{"@type":"cr:Field","name":"state_name","description":"state_name","dataType":"sc:Text","source":{"@id":"37907961","fileObject":{"@id":"migration_district_analysis_dataset.csv"},"extract":{"column":"state_name"}}},{"@type":"cr:Field","name":"district_name","description":"district_name","dataType":"sc:Text","source":{"@id":"37907967","fileObject":{"@id":"migration_district_analysis_dataset.csv"},"extract":{"column":"district_name"}}},{"@type":"cr:Field","name":"district_id","description":"district_id","dataType":"sc:Integer","source":{"@id":"37907976","fileObject":{"@id":"migration_district_analysis_dataset.csv"},"extract":{"column":"district_id"}}},{"@type":"cr:Field","name":"year_start","description":"year_start","dataType":"sc:Integer","source":{"@id":"37907969","fileObject":{"@id":"migration_district_analysis_dataset.csv"},"extract":{"column":"year_start"}}},{"@type":"cr:Field","name":"year_census","description":"year_census","dataType":"sc:Integer","source":{"@id":"37907970","fileObject":{"@id":"migration_district_analysis_dataset.csv"},"extract":{"column":"year_census"}}},{"@type":"cr:Field","name":"period","description":"period","dataType":"sc:Integer","source":{"@id":"37907971","fileObject":{"@id":"migration_district_analysis_dataset.csv"},"extract":{"column":"period"}}},{"@type":"cr:Field","name":"period_length","description":"period_length","dataType":"sc:Integer","source":{"@id":"37907968","fileObject":{"@id":"migration_district_analysis_dataset.csv"},"extract":{"column":"period_length"}}},{"@type":"cr:Field","name":"migration_length","description":"migration_length","dataType":"sc:Text","source":{"@id":"37907977","fileObject":{"@id":"migration_district_analysis_dataset.csv"},"extract":{"column":"migration_length"}}},{"@type":"cr:Field","name":"treated","description":"treated","dataType":"sc:Integer","source":{"@id":"37907965","fileObject":{"@id":"migration_district_analysis_dataset.csv"},"extract":{"column":"treated"}}},{"@type":"cr:Field","name":"post","description":"post","dataType":"sc:Integer","source":{"@id":"37907975","fileObject":{"@id":"migration_district_analysis_dataset.csv"},"extract":{"column":"post"}}},{"@type":"cr:Field","name":"beyond_state","description":"beyond_state","dataType":"sc:Integer","source":{"@id":"37907963","fileObject":{"@id":"migration_district_analysis_dataset.csv"},"extract":{"column":"beyond_state"}}},{"@type":"cr:Field","name":"pop","description":"pop","dataType":"sc:Float","source":{"@id":"37907972","fileObject":{"@id":"migration_district_analysis_dataset.csv"},"extract":{"column":"pop"}}},{"@type":"cr:Field","name":"percent_lit","description":"percent_lit","dataType":"sc:Float","source":{"@id":"37907974","fileObject":{"@id":"migration_district_analysis_dataset.csv"},"extract":{"column":"percent_lit"}}},{"@type":"cr:Field","name":"percent_work","description":"percent_work","dataType":"sc:Float","source":{"@id":"37907973","fileObject":{"@id":"migration_district_analysis_dataset.csv"},"extract":{"column":"percent_work"}}},{"@type":"cr:Field","name":"percent_urban","description":"percent_urban","dataType":"sc:Float","source":{"@id":"37907962","fileObject":{"@id":"migration_district_analysis_dataset.csv"},"extract":{"column":"percent_urban"}}},{"@type":"cr:Field","name":"percent_female","description":"percent_female","dataType":"sc:Float","source":{"@id":"37907964","fileObject":{"@id":"migration_district_analysis_dataset.csv"},"extract":{"column":"percent_female"}}},{"@type":"cr:Field","name":"percent_scst","description":"percent_scst","dataType":"sc:Float","source":{"@id":"37907966","fileObject":{"@id":"migration_district_analysis_dataset.csv"},"extract":{"column":"percent_scst"}}}]},{"@type":"cr:RecordSet","field":[{"@type":"cr:Field","name":"key_memb","description":"key_memb","dataType":"sc:Integer","source":{"@id":"37908064","fileObject":{"@id":"nss_analysis_dataset.csv"},"extract":{"column":"key_memb"}}},{"@type":"cr:Field","name":"key_hhold","description":"key_hhold","dataType":"sc:Integer","source":{"@id":"37908061","fileObject":{"@id":"nss_analysis_dataset.csv"},"extract":{"column":"key_hhold"}}},{"@type":"cr:Field","name":"state","description":"state","dataType":"sc:Text","source":{"@id":"37908060","fileObject":{"@id":"nss_analysis_dataset.csv"},"extract":{"column":"state"}}},{"@type":"cr:Field","name":"last_place_type","description":"last_place_type","dataType":"sc:Text","source":{"@id":"37908059","fileObject":{"@id":"nss_analysis_dataset.csv"},"extract":{"column":"last_place_type"}}},{"@type":"cr:Field","name":"last_place_state","description":"last_place_state","dataType":"sc:Text","source":{"@id":"37908063","fileObject":{"@id":"nss_analysis_dataset.csv"},"extract":{"column":"last_place_state"}}},{"@type":"cr:Field","name":"hh_caste","description":"hh_caste","dataType":"sc:Text","source":{"@id":"37908062","fileObject":{"@id":"nss_analysis_dataset.csv"},"extract":{"column":"hh_caste"}}}]},{"@type":"cr:RecordSet","field":[{"@type":"cr:Field","name":"hospital_pc","description":"hospital_pc","dataType":"sc:Float","source":{"@id":"37908065","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"hospital_pc"}}},{"@type":"cr:Field","name":"secondary_pc","description":"secondary_pc","dataType":"sc:Float","source":{"@id":"37908071","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"secondary_pc"}}},{"@type":"cr:Field","name":"primary_pc","description":"primary_pc","dataType":"sc:Float","source":{"@id":"37908088","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"primary_pc"}}},{"@type":"cr:Field","name":"vd_app_pr","description":"vd_app_pr","dataType":"sc:Float","source":{"@id":"37908083","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"vd_app_pr"}}},{"@type":"cr:Field","name":"vd_power_all","description":"vd_power_all","dataType":"sc:Float","source":{"@id":"37908070","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"vd_power_all"}}},{"@type":"cr:Field","name":"linguisticdistance1","description":"linguisticdistance1","dataType":"sc:Float","source":{"@id":"37908084","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"linguisticdistance1"}}},{"@type":"cr:Field","name":"linguisticdistance1_minmax","description":"linguisticdistance1_minmax","dataType":"sc:Float","source":{"@id":"37908075","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"linguisticdistance1_minmax"}}},{"@type":"cr:Field","name":"treated75","description":"treated75","dataType":"sc:Float","source":{"@id":"37908078","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"treated75"}}},{"@type":"cr:Field","name":"post","description":"post","dataType":"sc:Integer","source":{"@id":"37908072","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"post"}}},{"@type":"cr:Field","name":"year","description":"year","dataType":"sc:Integer","source":{"@id":"37908085","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"year"}}},{"@type":"cr:Field","name":"IPUM1993","description":"IPUM1993","dataType":"sc:Integer","source":{"@id":"37908073","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"IPUM1993"}}},{"@type":"cr:Field","name":"beyond_state","description":"beyond_state","dataType":"sc:Float","source":{"@id":"37908068","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"beyond_state"}}},{"@type":"cr:Field","name":"district_id","description":"district_id","dataType":"sc:Float","source":{"@id":"37908077","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"district_id"}}},{"@type":"cr:Field","name":"treatedXpost","description":"treatedXpost","dataType":"sc:Float","source":{"@id":"37908069","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"treatedXpost"}}},{"@type":"cr:Field","name":"pop","description":"pop","dataType":"sc:Float","source":{"@id":"37908079","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"pop"}}},{"@type":"cr:Field","name":"percent_work","description":"percent_work","dataType":"sc:Float","source":{"@id":"37908087","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"percent_work"}}},{"@type":"cr:Field","name":"percent_lit","description":"percent_lit","dataType":"sc:Float","source":{"@id":"37908081","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"percent_lit"}}},{"@type":"cr:Field","name":"percent_urban","description":"percent_urban","dataType":"sc:Float","source":{"@id":"37908067","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"percent_urban"}}},{"@type":"cr:Field","name":"percent_scst","description":"percent_scst","dataType":"sc:Float","source":{"@id":"37908074","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"percent_scst"}}},{"@type":"cr:Field","name":"percent_female","description":"percent_female","dataType":"sc:Float","source":{"@id":"37908080","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"percent_female"}}},{"@type":"cr:Field","name":"same_state_treated75","description":"same_state_treated75","dataType":"sc:Integer","source":{"@id":"37908086","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"same_state_treated75"}}},{"@type":"cr:Field","name":"diff_state_treated75","description":"diff_state_treated75","dataType":"sc:Integer","source":{"@id":"37908082","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"diff_state_treated75"}}},{"@type":"cr:Field","name":"district_name","description":"district_name","dataType":"sc:Text","source":{"@id":"37908076","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"district_name"}}},{"@type":"cr:Field","name":"state_code","description":"state_code","dataType":"sc:Integer","source":{"@id":"37908066","fileObject":{"@id":"public_goods_analysis_dataset.csv"},"extract":{"column":"state_code"}}}]}]}