#
# files = paste0("C:/Users/dratnadiwakara2/Documents/OneDrive - Louisiana State University/Raw Data/HMDA/Ultimate Panel Data/",as.character(2000:2016),".fst")
#
# panel = lapply(files, read_fst, as.data.table = TRUE,columns=c("respondentid","agencycode","reportername","asofdate","parentname","parentidentifier","reporterhomecity","reporterhomestate","rssd"))
# panel <- do.call(rbind , panel)
#
# panel[,asofdate:=as.integer(asofdate)]
# panel <- panel[!duplicated(panel[,c("respondentid","agencycode","asofdate")])]
# panel[,parentidentifier:=stri_trim(parentidentifier)]
#
# panel[,rssd:=as.numeric(rssd)]
#
# panel[,hmda_id:=paste0(agencycode,"-",respondentid)]
#
# files <- NULL
# files <- list.files(pattern="*.fst",path = "C:/Users/dratnadiwakara2/Documents/OneDrive - Louisiana State University/Raw Data/HMDA/pre2004/OO_NP/",full.names = TRUE)
# files <- c(files,list.files(pattern="*.fst",path = "C:/Users/dratnadiwakara2/Documents/OneDrive - Louisiana State University/Raw Data/HMDA/pre2004/OO_RF/",full.names = TRUE))
# files <- c(files,list.files(pattern="*.fst",path = "C:/Users/dratnadiwakara2/Documents/OneDrive - Louisiana State University/Raw Data/HMDA/OO_NP/",full.names = TRUE))
# files <- c(files,list.files(pattern="*.fst",path = "C:/Users/dratnadiwakara2/Documents/OneDrive - Louisiana State University/Raw Data/HMDA/OO_RF/",full.names = TRUE))
#
# hmda = lapply(files, read_fst, as.data.table = TRUE,
# columns=c("asofdate","respondentid","agencycode","state","countycode","msa"))
# hmda <- do.call(rbind , hmda)
# hmda[,lender:=paste0(agencycode,"-",respondentid)]
# hmda[,countycode:=paste0(state,countycode)]
#
#
# cbsa_fips <- fread("C:/Users/dratnadiwakara2/Documents/OneDrive - Louisiana State University/Raw Data/Crosswalk Files/cbsa_countyfips.csv")
# cbsa_fips[,fips:=ifelse(nchar(fips)==4,paste0("0",fips),paste0(fips))]
#
# hmda <- merge(hmda,cbsa_fips,by.x="countycode",by.y="fips",all.x=T)
# hmda[,c("agencycode","respondentid"):=list(NULL)]
#
# gc()
#
#
#
# mergers <- list()
#
# temp <- list(1,"BANK ONE - JPMORGAN CHASE 2004",
# c("1-0000000008","1-0000007621","1-0000003106","1-0000011230","1-0000013655","1-0000013759","1-0000013914","1-0000014320","1-0000015184","1-0000018785","1-0000021969","1-0000023237","2-0000331647","3-0000002487"),
# unique(c(unique(panel[parentidentifier %in% c("0000002370","0000000008","0001039502","0000852218","0001040795"),]$hmda_id),"2-0000852218","1-0000023160","2-0000043557","1-22-1092200","1-0000000008")),
# 2000,"JPMORGAN CHASE BANK, NA",2004)
# mergers[[1]] <- temp
#
# temp <- list(2,"COUNTRYWIDE - BANK OF AMERIC 2009" ,c("1-0000024141","2-0001644643","2-0003267484","7-20-2241771","1-0000024141","4-0000018039"),c("1-0000013044"),
# 2005,"BANK OF AMERICA, N.A.",2009)
# mergers[[2]] <- temp
#
# temp <- list(3,"FLEET NA - BANK OF AMERICA 2005",c("1-0000000200"),c("1-0000013044"),
# 2003,"BANK OF AMERICA, N.A.",2005)
# mergers[[3]] <- temp
#
# temp <- list(4,"WACHOVIA BK NA - WELLS FARGO 2010", c("1-0000000001","1-0000022559","1-56-0811711"), panel[substr(reportername,1,7)=="WELLS F"]$hmda_id,
# 2005,"WELLS FARGO BANK, N.A.",2009)
# mergers[[4]] <- temp
#
# temp <- list(5,"LASALLE BK - BANK OF AMERICA 2008",panel[substr(reportername,1,7)=="LASALLE" & asofdate<=2005]$hmda_id,c("1-0000013044"),
# 2005,"BANK OF AMERICA, N.A.",2008)
# mergers[[5]] <- temp
#
#
# temp <- list(6,"ABN AMRO MTG GROUP - CITI BANK 2007",c("1-36-3744610"),unique(panel[parentidentifier=="0001951350"]$hmda_id),
# 2004,"CITIMORTGAGE, INC.",2007)
# mergers[[6]] <- temp
#
# temp <- list(7,"UNION PLANTERS BANK - REGIONS FINANCIAL CORP 2004",
# c("1-0000013349"),
# c("9-0000233031","2-0000233031"),
# 2002,c("REGIONS BANK"),2004)
# mergers[[7]] <- temp
#
# temp <- list(8,"AmSouth Bancorporation - REGIONS FINANCIAL CORP 2006",
# c("2-0000245333"),
# c("9-0000233031","2-0000233031"),
# 2004,c("REGIONS BANK"),2006)
# mergers[[8]] <- temp
#
#
# temp <- list(9,"Washington Mutual - JPMORGAN CHASE 2008",
# c("4-0000008551","4-0000011905"),
# unique(c(unique(panel[parentidentifier %in% c("0000002370","0000000008","0001039502","0000852218","0001040795"),]$hmda_id),"2-0000852218","1-0000023160","2-0000043557","1-22-1092200","1-0000000008")),
# 2005,"JPMORGAN CHASE BANK, NA",
# 2008)
# mergers[[9]] <- temp
#
#
#
# ## target operated in 5 msas; small share.
# temp <- list(10,"Greater Bay Bank - Wells Fargo 2007",
# c("1-0000024489"),
# panel[substr(reportername,1,7)=="WELLS F"]$hmda_id,
# 2005,c("WELLS FARGO BANK, N.A."),2007)
# mergers[[10]] <- temp
#
#
# temp <- list(11,"MBNA NA - BANK OF AMERICA 2005",c("1-0000024095"),c("1-0000013044"),
# 2003,"BANK OF AMERICA, N.A.",2005)
# mergers[[11]] <- temp
#
# temp <- list(12,"Merrill Lynch - BANK OF AMERICA 2008",c("2-0000421203","7-13-3403204","3-13-3098068","3-13-3399559","3-0000027374","3-0000091363","3-13-3399559","4-0000014460","3-68-0518519","4-0000014460", "4-0133098068"),c("1-0000013044"),
# 2005,"BANK OF AMERICA, N.A.",2008)
# mergers[[12]] <- temp
#
#
# temp <- list(13,"FIRST INTERSTATE BK CA - Wells Fargo 1996",c("2-0000669667"),panel[substr(reportername,1,7)=="WELLS F"]$hmda_id,1994,"WELLS FARGO BANK, N.A.",1996)
# mergers[[13]] <- temp
#
# temp <- list(14,"PACIFIC NORTHWEST - Wells Fargo 2004",c("3-0000030887","3-0000027346"),panel[substr(reportername,1,7)=="WELLS F"]$hmda_id,
# 2002,"WELLS FARGO BANK, N.A.",2004)
# mergers[[14]] <- temp
#
#
# temp <- list(15,"MERIDIAN MOME MORTGAGE, LP - Wells Fargo 2010",c("1-74-3082948"),panel[substr(reportername,1,7)=="WELLS F"]$hmda_id,
# 2005,"WELLS FARGO BANK, N.A.",2010)
# mergers[[15]] <- temp
#
#
# temp <- list(16,"The Leader Mtg Co - US Bank 2004",
# c("7-3814209995"),
# panel[substr(reportername,1,5)=="U S B"]$hmda_id,
# 2002,c("U.S. BANK N.A."),2004)
# mergers[[16]] <- temp
#
# temp <- list(17,"PFF BANK & TRUST - US Bank 2008",
# c("4-0000001405"),
# panel[substr(reportername,1,5)=="U S B"]$hmda_id,
# 2005,c("U.S. BANK N.A."),2008)
# mergers[[17]] <- temp
#
#
# temp <- list(18,"DOWNEY SAVINGS AND LOAN ASSOCIATION, F.A. - US Bank 2008",
# c("4-0000006189"),
# panel[substr(reportername,1,5)=="U S B"]$hmda_id,
# 2005,c("U.S. BANK N.A."),2008)
# mergers[[18]] <- temp
#
#
# cbsas <- unique(hmda$cbsa)
# yrs <- 2000:2016
# acqbanks <- NULL
# for(i in 1:length(mergers)) {
# acqbanks <- c(acqbanks,mergers[[i]][6][[1]])
# }
# acqbanks <- c(unique(acqbanks),"other")
#
# cbsas1 <- merge(cbsas,yrs)
# cbsas2 <- merge(cbsas,acqbanks)
#
# cbsas <- merge(cbsas1,cbsas2,by="x")
# names(cbsas) <- c("cbsa","acyr","bank")
# cbsas <- data.table(cbsas)
#
# cbsas[,bank:=as.character(bank)]
# cbsas[,acqbank:=0]
# cbsas[,pred_share:=0]
# cbsas[,suc_share:=0]
# cbsas[,nationwide_msacq:=0]
#
#
# cbsa_bnk <- NULL
# lender_bank <- NULL
# sumtable <- NULL
#
# for(i in 1:length(mergers)) {
# # print(i)
# mid=mergers[[i]][1][[1]]
# mname=mergers[[i]][2][[1]]
# pred_hmda_id=mergers[[i]][3][[1]]
# suc_hmda_id=mergers[[i]][4][[1]]
# yr=mergers[[i]][5][[1]]
# acname = mergers[[i]][6][[1]]
# acyr = mergers[[i]][7][[1]]
#
# temp <- hmda[asofdate == yr ]
# temp[,pred:=ifelse(lender %in% pred_hmda_id,1,0)]
# cw <- temp[,.(pred_share=mean(pred)),by=.(cbsa)]
# cw[,nationwide_msacq:=mean(temp$pred,na.rm=T)]
#
# temp1 <- hmda[asofdate == (acyr-1) ]
# temp1[,suc:=ifelse(lender %in% suc_hmda_id,1,0)]
# cw1 <- temp1[,.(suc_share=mean(suc)),by=.(cbsa)]
#
# cw <- merge(cw,cw1,by="cbsa",all.x=T)
# cw <- cw[!is.na(cbsa)]
# cw[is.na(cw)] <- 0
#
# cw[,joint_share:=pred_share+suc_share]
# cw[,bank:=acname]
# cw[,acyr:=acyr]
#
# cw[,c("joint_share"):=list(NULL)]
# cbsa_bnk <- rbind(cbsa_bnk,cw)
# }
#
#
# cbsa_bnk[,acqbank:=1]
#
#
# cbsa_bnk <- rbind(cbsa_bnk,cbsas)
# cbsa_bnk <- cbsa_bnk[!duplicated(cbsa_bnk[,c("cbsa","acyr","bank")])]
# cbsa_bnk <- cbsa_bnk[!is.na(cbsa)]
#
# temp <- cbsa_bnk
#
# cbsa_bnk_1 <- cbsa_bnk[,c("cbsa","pred_share","suc_share","bank","acyr")]
#
# names(cbsa_bnk_1) <- c("cbsa","pred_share_1","suc_share_1","bank","acyr")
# cbsa_bnk_1[,acyr:=acyr+1]
# cbsa_bnk <- merge(cbsa_bnk,cbsa_bnk_1,by=c("cbsa","bank","acyr"),all.x = T)
#
# names(cbsa_bnk_1) <- c("cbsa","pred_share_2","suc_share_2","bank","acyr")
# cbsa_bnk_1[,acyr:=acyr+1]
# cbsa_bnk <- merge(cbsa_bnk,cbsa_bnk_1,by=c("cbsa","bank","acyr"),all.x = T)
#
# names(cbsa_bnk_1) <- c("cbsa","pred_share_3","suc_share_3","bank","acyr")
# cbsa_bnk_1[,acyr:=acyr+1]
# cbsa_bnk <- merge(cbsa_bnk,cbsa_bnk_1,by=c("cbsa","bank","acyr"),all.x = T)
#
# names(cbsa_bnk_1) <- c("cbsa","pred_share_4","suc_share_4","bank","acyr")
# cbsa_bnk_1[,acyr:=acyr+1]
# cbsa_bnk <- merge(cbsa_bnk,cbsa_bnk_1,by=c("cbsa","bank","acyr"),all.x = T)
#
# names(cbsa_bnk_1) <- c("cbsa","pred_share_5","suc_share_5","bank","acyr")
# cbsa_bnk_1[,acyr:=acyr+1]
# cbsa_bnk <- merge(cbsa_bnk,cbsa_bnk_1,by=c("cbsa","bank","acyr"),all.x = T)
#
# names(cbsa_bnk_1) <- c("cbsa","pred_share_6","suc_share_6","bank","acyr")
# cbsa_bnk_1[,acyr:=acyr+1]
# cbsa_bnk <- merge(cbsa_bnk,cbsa_bnk_1,by=c("cbsa","bank","acyr"),all.x = T)
#
# names(cbsa_bnk_1) <- c("cbsa","pred_share_7","suc_share_7","bank","acyr")
# cbsa_bnk_1[,acyr:=acyr+1]
# cbsa_bnk <- merge(cbsa_bnk,cbsa_bnk_1,by=c("cbsa","bank","acyr"),all.x = T)
#
# names(cbsa_bnk_1) <- c("cbsa","pred_share_8","suc_share_8","bank","acyr")
# cbsa_bnk_1[,acyr:=acyr+1]
# cbsa_bnk <- merge(cbsa_bnk,cbsa_bnk_1,by=c("cbsa","bank","acyr"),all.x = T)
#
# names(cbsa_bnk_1) <- c("cbsa","pred_share_9","suc_share_9","bank","acyr")
# cbsa_bnk_1[,acyr:=acyr+1]
# cbsa_bnk <- merge(cbsa_bnk,cbsa_bnk_1,by=c("cbsa","bank","acyr"),all.x = T)
#
# cbsa_bnk[,pred_share_1:=ifelse(is.na(pred_share_1),0,pred_share_1)]
# cbsa_bnk[,pred_share_2:=ifelse(is.na(pred_share_2),0,pred_share_2)]
# cbsa_bnk[,pred_share_3:=ifelse(is.na(pred_share_3),0,pred_share_3)]
# cbsa_bnk[,pred_share_4:=ifelse(is.na(pred_share_4),0,pred_share_4)]
# cbsa_bnk[,pred_share_5:=ifelse(is.na(pred_share_5),0,pred_share_5)]
# cbsa_bnk[,pred_share_6:=ifelse(is.na(pred_share_6),0,pred_share_6)]
# cbsa_bnk[,pred_share_7:=ifelse(is.na(pred_share_7),0,pred_share_7)]
# cbsa_bnk[,pred_share_8:=ifelse(is.na(pred_share_8),0,pred_share_8)]
# cbsa_bnk[,pred_share_9:=ifelse(is.na(pred_share_9),0,pred_share_9)]
#
# cbsa_bnk[,msinc13:=pred_share_1+pred_share_2+pred_share_3+0.00001]
# cbsa_bnk[,msinc46:=pred_share_4+pred_share_5+pred_share_6+0.00001]
# cbsa_bnk[,msinc79:=pred_share_7+pred_share_8+pred_share_9+0.00001]
# cbsa_bnk[,suc_share:=suc_share_1]
#
#
# cbsa_bnk[,msinc13G:=ifelse(msinc13<=0.0001,"0. 0",
# ifelse(msinc13<0.01,"1. Less than 1pct",
# ifelse(msinc13<0.05,"2. 1 - 5pct",
# ifelse(msinc13<0.1,"3. 5pct - 10pct", "4. More than 10pct"))))]
#
# cbsa_bnk[,msinc46G:=ifelse(msinc46<=0.0001,"0. 0",
# ifelse(msinc46<0.01,"1. Less than 1pct",
# ifelse(msinc46<0.05,"2. 1 - 5pct",
# ifelse(msinc46<0.1,"3. 5pct - 10pct", "4. More than 10pct"))))]
#
#
# cbsa_bnk[,msinc79G:=ifelse(msinc79<=0.0001,"0. 0",
# ifelse(msinc79<0.01,"1. Less than 1pct",
# ifelse(msinc79<0.05,"2. 1 - 5pct",
# ifelse(msinc79<0.1,"3. 5pct - 10pct", "4. More than 10pct"))))]
#
# cbsa_bnk[,msinc4plus:=msinc46+msinc79]
#
# write_fst(cbsa_bnk,"C:/Users/dratnadiwakara2/Documents/OneDrive - Louisiana State University/Projects/Bank Mergers/Before June2023/data/cbsa_bnk_33.fst",compress = 100)cbsa_bnk <- read_fst("C:/Users/dratnadiwakara2/Documents/OneDrive - Louisiana State University/Projects/Bank Mergers/Before June2023/data/cbsa_bnk_33.fst",as.data.table = T)
cbsa_bnk[,other_msinc13:=sum(msinc13,na.rm=T),by=.(cbsa,acyr)]
cbsa_bnk[,other_msinc46:=sum(msinc46,na.rm=T),by=.(cbsa,acyr)]
cbsa_bnk[,other_msinc13:=other_msinc13-msinc13]
cbsa_bnk[,other_msinc46:=other_msinc46-msinc46]
cbsa_bnk[,msinc13_dummy:=ifelse(msinc13>1e-05,1,0)]
cbsa_bnk[,yr_msa2:=paste(acyr,cbsa)]
cbsa_bnk[,msinc13_total:=sum(msinc13),by=yr_msa2]
cbsa_bnk[,msinc13_total:=ifelse(msinc13==1e-05,1e-05,msinc13_total)]
cbsa_bnk[,msinc13G:=ifelse(msinc13<=0.0001,"0. 0",
ifelse(msinc13<0.025,"1. 0 to 2.5pct",
ifelse(msinc13<0.05,"2. 2.5- 5pct","5. More than 5pct")))]
cbsa_bnk[,msinc46G:=ifelse(msinc46<=0.0001,"0. 0",
ifelse(msinc46<0.025,"1. 0 to 2.5pct",
ifelse(msinc46<0.05,"2. 2.5- 5pct","5. More than 5pct")))]freddie <- list.files(pattern="*.fst",path = "C:/Users/dratnadiwakara2/Documents/OneDrive - Louisiana State University/Raw Data/Freddie/Acq",full.names = TRUE)
freddie = lapply(freddie, read_fst,as.data.table=T, columns = c("fico","dt_first_pi","cd_msa","ltv","dti","orig_upb","int_rt","prop_type","zipcode","id_loan","orig_loan_term","seller_name","loan_purpose","cltv","occpy_sts"))
freddie <- do.call(rbind , freddie)
freddie <- freddie[orig_loan_term==360 & prop_type=="SF" ]
freddie[,loanyr:=year(dt_first_pi)]
freddie[,msa:=cd_msa]
freddie[,primary_occ:=ifelse(occpy_sts=="P",1,0)]
freddie[,c("orig_loan_term","dt_first_pi","prop_type","cd_msa","occpy_sts"):=list(NULL)]
freddie[,seller_name:= ifelse(seller_name %in% c("JPMORGAN CHASE BANK, NA","JPMORGAN CHASE BANK, NATIONAL ASSOCIATION","CHASE MANHATTAN MORTGAGE CORPORATION","CHASE HOME FINANCE LLC","CHASE HOME FINANCE","CHASE HOME FINANCE, LLC","JPMORGAN CHASE BANK, NATIONAL ASSOCIATION","JPMORGAN CHASE BANK, N.A."),"JPMORGAN CHASE BANK, NA",seller_name)]
freddie[,seller_name:= ifelse(seller_name %in% c("CITIMORTGAGE, INC.","ABN AMRO, NKA CITIMORTGAGE INC.","CITIMORTGAGE, INC."),"CITIMORTGAGE, INC.",seller_name)]
freddie[,seller_name:= ifelse(seller_name %in% c("WELLS FARGO HOME MORTGAGE, INC.","WELLS FARGO BANK, N.A."),"WELLS FARGO BANK, N.A.",seller_name)]
freddie[,bank:=seller_name]
freddie[,bank:=ifelse(bank %in% unique(cbsa_bnk$bank),bank,"other")]
freddie[,freddie:=1]
freddie[,newpurchase:=ifelse(loan_purpose=="P",1,0)]
freddie[,ltvorg:=ltv]
freddie[,ltv:=cltv]fannie <- list.files(pattern="*.fst",path = "C:/Users/dratnadiwakara2/Documents/OneDrive - Louisiana State University/Raw Data/Fannie/Acq",full.names = TRUE)
fannie = lapply(fannie, read_fst,as.data.table=T, columns = c("loan_identifier","seller_name","original_interest_rate","original_upb","original_loan_term","origination_date","original_ltv","original_dti","credit_score","property_type","property_state","zip_code","msa","loan_purpose","original_cltv","occupancy_type"))
fannie <- do.call(rbind , fannie)
fannie <- fannie[original_loan_term==360 & property_type=="SF" ]
fannie[,loanyr:=year(origination_date)]
fannie[,seller_name:= ifelse(seller_name %in% c("JPMORGAN CHASE BANK, NA","JPMORGAN CHASE BANK, NATIONAL ASSOCIATION","CHASE MANHATTAN MORTGAGE CORPORATION","CHASE HOME FINANCE LLC","CHASE HOME FINANCE","CHASE HOME FINANCE, LLC","JPMORGAN CHASE BANK, NATIONAL ASSOCIATION","JPMORGAN CHASE BANK, N.A."),"JPMORGAN CHASE BANK, NA",seller_name)]
fannie[,seller_name:= ifelse(seller_name %in% c("CITIMORTGAGE, INC.","ABN AMRO, NKA CITIMORTGAGE INC.","CITIMORTGAGE, INC."),"CITIMORTGAGE, INC.",seller_name)]
fannie[,seller_name:= ifelse(seller_name %in% c("WELLS FARGO HOME MORTGAGE, INC.","WELLS FARGO BANK, N.A."),"WELLS FARGO BANK, N.A.",seller_name)]
fannie[,bank:=seller_name]
fannie[,bank:=ifelse(bank %in% unique(cbsa_bnk$bank),bank,"other")]
fannie[,freddie:=0]
fannie[,ltvorg:=original_ltv]
fannie[,primary_occ:=ifelse(occupancy_type=="P",1,0)]
setnames(fannie,"zip_code","zipcode")
setnames(fannie,"original_ltv","ltv")
setnames(fannie,"original_upb","orig_upb")
setnames(fannie,"original_interest_rate","int_rt")
setnames(fannie,"loan_identifier","id_loan")
setnames(fannie,"credit_score","fico")
setnames(fannie,"original_dti","dti")
setnames(fannie,"original_cltv","cltv")
fannie[,c("property_type","property_state","original_loan_term","origination_date","occupancy_type"):=list(NULL)]
fannie[,loan_purpose:=ifelse(loan_purpose=="R","N",loan_purpose)]
fannie <- fannie[loan_purpose != "U"]
fannie[,id_loan:=as.character(id_loan)]
fannie[,newpurchase:=ifelse(loan_purpose=="P",1,0)]
fannie[,ltv:=cltv]moodys <- read_fst("C:/Users/dratnadiwakara2/Documents/OneDrive - Louisiana State University/Raw Data/Moodys/0001/LoanChars.fst",as.data.table = TRUE, columns=c("loanid","loanoriginationdate","zipcode","originalloanbalance","originalcltv","state","originator","armflag","originalfico","originalterm","originalltv","documentationtype","originalinterestrate","purposetype","assettype","occupancytype"))
cbsa <- fread("C:/Users/dratnadiwakara2/Documents/OneDrive - Louisiana State University/Raw Data/Crosswalk Files/ZIP_CBSA.csv")
cbsa[,ZIP:=ifelse(nchar(ZIP)==3,paste0("00",ZIP),ifelse(nchar(ZIP)==4,paste0("0",ZIP),paste0(ZIP)))]
setorder(cbsa,ZIP,-RES_RATIO)
cbsa <- cbsa[!duplicated(cbsa[,c("ZIP")])]
cbsa[,c("RES_RATIO","BUS_RATIO","OTH_RATIO","TOT_RATIO"):=list(NULL)]
names(cbsa) <- c("zipcode","msa")
moodys <- merge(moodys,cbsa,by=c("zipcode"))
moodys <- moodys[originalterm==360 & armflag=="F" ] # & occupancytype=="PRI"
moodys[,loanyr:=as.numeric(substr(loanoriginationdate,1,4))]
moodys[,seller_name:= originator]
moodys[,seller_name:= ifelse(seller_name %in% c("JPMORGAN CHASE BANK, NA","JPMORGAN CHASE BANK, NATIONAL ASSOCIATION","CHASE MANHATTAN MORTGAGE CORPORATION","CHASE HOME FINANCE LLC","CHASE HOME FINANCE","CHASE HOME FINANCE, LLC","JPMORGAN CHASE BANK, NATIONAL ASSOCIATION","JPMORGAN CHASE BANK, N.A.","JP MORGAN CHASE BANK NA","CHASE MANHATTAN MORTGAGE CORP"),"JPMORGAN CHASE BANK, NA",seller_name)]
moodys[,seller_name:= ifelse(seller_name %in% c("B OF A"),"BANK OF AMERICA, N.A.",seller_name)]
moodys[,seller_name:= ifelse(seller_name %in% c("WELLS FARGO HOME MORTGAGE, INC.","WELLS FARGO BANK, N.A.","WELLS FARGO BANK N.A"," WELLS FARGO HOME MTG, INC"),"WELLS FARGO BANK, N.A.",seller_name)]
moodys[,int_rt:=originalinterestrate]
moodys[,dti:=0]
moodys[,ltv:=originalcltv]
moodys[,ltvorg:=originalltv]
moodys[,fico:=originalfico]
moodys[,orig_upb:= originalloanbalance]
moodys[,primary_occ:=ifelse(occupancytype=="PRI",1,0)]
# moodys[,c("originalinterestrate","originalltv","originalfico","originalloanbalance","msacode","csacode","divcode","loanoriginationdate","armflag","originalterm"):=list(NULL)]
moodys[,fulldocumentation:=ifelse(documentationtype=="FU",1,0)]
gc()## used (Mb) gc trigger (Mb) max used (Mb)
## Ncells 38940272 2079.7 72956940 3896.4 39096838 2088.0
## Vcells 695880322 5309.2 1622092382 12375.6 1581086038 12062.8moodys[,bank:=seller_name]
moodys[,bank:=ifelse(bank %in% unique(cbsa_bnk$bank),bank,"other")]
moodys[,newpurchase:=ifelse(purposetype=="PUR",1,0)]
moodys <- moodys[assettype != "UN"]regsample <- rbind(freddie,fannie)
regsample <- merge(regsample,cbsa_bnk,by.x=c("bank","msa","loanyr"),by.y=c("bank","cbsa","acyr"))
regsample[,bank_msa:=paste(seller_name,msa)]
regsample[,yr_msa:=paste(loanyr,msa)]
regsample[,fico:=fico/100]
regsample[,homevalue:= orig_upb*100/ltvorg]
regsample[,fico_cat:=ifelse(fico<6.6,"Less than 660",ifelse(fico<7.2,"660-720","0720 or more"))]
regsample[,dti_cat:=ifelse(dti<20,"0Less than 20",ifelse(dti<40,"20-40","40 or more"))]
# regsample[,msinc13G:=ifelse(msinc13G %in% c("4. More than 10pct","3. 5pct - 10pct"),"3. 5pct or more",msinc13G)]
# regsample[,msinc46G:=ifelse(msinc46G %in% c("4. More than 10pct","3. 5pct - 10pct"),"3. 5pct or more",msinc46G)]
regsample[,zip_year:=paste(loanyr,zipcode)]
regsample[,bank_year:=paste(seller_name,loanyr)]
regsample[,active:=ifelse(suc_share>0 & msinc13>1e-05,1,0)]
regsample2 <- merge(moodys,cbsa_bnk,by.x=c("bank","msa","loanyr"),by.y=c("bank","cbsa","acyr"))
regsample2[,bank_msa:=paste(seller_name,zipcode)]
regsample2[,assettype:=ifelse(assettype=="Prime","0Prime",assettype)]
regsample2[,yr_msa:=paste(loanyr,msa)]
regsample2[,fico:=fico/100]
regsample2[,homevalue:= orig_upb*100/ltvorg]
# regsample2[,msinc13G:=ifelse(msinc13G %in% c("4. More than 10pct","3. 5pct - 10pct"),"3. 5pct or more",msinc13G)]
regsample2[,zip_year:=paste(loanyr,zipcode)]
regsample2[,bank_year:=paste(seller_name,loanyr)]
regsample2[,active:=ifelse(suc_share>0 & msinc13>1e-05,1,0)]
# regsample2[,msinc13_total:=sum(msinc13),by=yr_msa]
# regsample2[,msinc13_total:=ifelse(msinc13==1e-05,1e-05,msinc13_total)]r <- list()
r[[1]] <- felm(int_rt~msinc13+msinc4plus+suc_share+nationwide_msacq+fico+I(fico^2)+ltv+I(ltv^2)+dti+log(orig_upb)+freddie+newpurchase+primary_occ|bank_msa+loanyr|0|zipcode,data=regsample[ !(suc_share==0 & msinc13>1e-05) & fico<8.5 & fico>3 & ltv<95])
r[[2]] <- felm(int_rt~factor(msinc13G)+factor(msinc46G)+suc_share+nationwide_msacq+fico+I(fico^2)+ltv+I(ltv^2)+dti+log(orig_upb)+freddie+newpurchase+primary_occ|bank_msa+loanyr|0|zipcode,data=regsample[ !(suc_share==0 & msinc13>1e-05) & fico<8.5 & fico>3 & ltv<95])
r[[3]] <- felm(int_rt~msinc13+suc_share+nationwide_msacq+fico+I(fico^2)+I(fico^3)+ltv+I(ltv^2)+dti+log(orig_upb)+freddie+newpurchase+primary_occ|bank_msa+loanyr|0|zipcode,data=regsample[ !(suc_share==0 & msinc13>1e-05) & loanyr<2008 & fico<8.5 & fico>3 & ltv<95])
# covlabs <- c("MSAcq1-3","MSAcq4Plus","MSAcq1-3 (0,2.5]","MSAcq1-3 (2.5,5]","MSAcq1-3 (5,.]","MSAcq4-6 (0,2.5]","MSAcq4-6 (2.5,5]","MSAcq4-6 (5,.]","Acquirer Share","Full documentation","FICO Score", "Combined loan-to-value","FICO Score2","FICO Score3", "Combined loan-to-value2","Combined loan-to-value3","Debt-to-income","log(Loan amount)","Freddie Mac","New purchase","Alt-A","Subprime","Primar residence","Nationwide MSAcq")
stargazer(r,no.space = T,align = T,omit.stat=c("ser","f", "rsq"),style = "qje",omit.table.layout = "n", dep.var.labels.include = FALSE,type="text",
column.labels=c("GSE Sample","GSE<2008","Non-agency sample"),column.separate=c(2,1,2),
add.lines = list(c("Bank*Zipcode", rep("Y",6)),c("Year", rep("Y",6)))
)##
## ==================================================================
## GSE Sample GSE<2008
## (1) (2) (3)
## ------------------------------------------------------------------
## msinc13 0.449*** 0.888***
## (0.036) (0.090)
## msinc4plus 0.787***
## (0.053)
## factor(msinc13G)1. 0 to 2.5pct 0.047***
## (0.002)
## factor(msinc13G)2. 2.5- 5pct 0.032***
## (0.005)
## factor(msinc13G)5. More than 5pct 0.018***
## (0.003)
## factor(msinc46G)1. 0 to 2.5pct 0.032***
## (0.002)
## factor(msinc46G)2. 2.5- 5pct 0.051***
## (0.006)
## factor(msinc46G)5. More than 5pct 0.033***
## (0.005)
## suc_share 0.017 -0.136*** -0.478***
## (0.013) (0.015) (0.024)
## nationwide_msacq -0.743*** -0.917*** 0.859***
## (0.038) (0.045) (0.144)
## fico -0.449*** -0.448*** 0.741***
## (0.014) (0.014) (0.093)
## I(fico2) 0.020*** 0.020*** -0.173***
## (0.001) (0.001) (0.014)
## I(fico3) 0.011***
## (0.001)
## ltv -0.002*** -0.002*** -0.004***
## (0.0001) (0.0001) (0.0002)
## I(ltv2) 0.00004*** 0.00004*** 0.0001***
## (0.00000) (0.00000) (0.00000)
## dti 0.0001*** 0.0001*** 0.00005***
## (0.00000) (0.00000) (0.00000)
## log(orig_upb) -0.165*** -0.165*** -0.179***
## (0.002) (0.002) (0.002)
## freddie 0.054*** 0.056*** 0.055***
## (0.001) (0.001) (0.002)
## newpurchase 0.021*** 0.021*** 0.011***
## (0.001) (0.001) (0.001)
## primary_occ -0.346*** -0.346*** -0.334***
## (0.004) (0.004) (0.004)
## Bank*Zipcode Y Y Y
## Year Y Y Y
## N 19,199,821 19,199,821 10,985,975
## Adjusted R2 0.888 0.888 0.655
## ==================================================================r <- list()
r[[1]] <- felm(int_rt~msinc13+suc_share+nationwide_msacq+fico+I(fico^2)+ltv+I(ltv^2)+dti+log(orig_upb)+newpurchase+primary_occ+fulldocumentation|seller_name+loanyr+zipcode|0|zipcode,data=regsample2[originalterm==360 & armflag=="F" & assettype=="0Prime" & fico<8.5 & fico>3 & ltv<95])
r[[2]] <- felm(int_rt~factor(msinc13G)+suc_share+nationwide_msacq+fico+I(fico^2)+ltv+I(ltv^2)+dti+log(orig_upb)+newpurchase+primary_occ+fulldocumentation|seller_name+loanyr+zipcode|0|zipcode,data=regsample2[originalterm==360 & armflag=="F" & assettype=="0Prime" & fico<8.5 & fico>3 & ltv<95])
r[[3]] <- felm(int_rt~msinc13+suc_share+nationwide_msacq+fico+I(fico^2)+ltv+I(ltv^2)+dti+log(orig_upb)+newpurchase+primary_occ+fulldocumentation|seller_name+loanyr+zipcode|0|zipcode,data=regsample2[originalterm==360 & armflag=="F" & assettype=="Alt-A" & fico<8.5 & fico>3 & ltv<95])
r[[4]] <- felm(int_rt~factor(msinc13G)+suc_share+nationwide_msacq+fico+I(fico^2)+ltv+I(ltv^2)+dti+log(orig_upb)+newpurchase+primary_occ+fulldocumentation|seller_name+loanyr+zipcode|0|zipcode,data=regsample2[originalterm==360 & armflag=="F" & assettype=="Alt-A" & fico<8.5 & fico>3 & ltv<95])
r[[5]] <- felm(int_rt~msinc13+suc_share+nationwide_msacq+fico+I(fico^2)+ltv+I(ltv^2)+dti+log(orig_upb)+newpurchase+primary_occ+fulldocumentation|seller_name+loanyr+zipcode|0|zipcode,data=regsample2[originalterm==360 & armflag=="F" & assettype=="Subprime" & fico<8.5 & fico>3 & ltv<95])
r[[6]] <- felm(int_rt~factor(msinc13G)+suc_share+nationwide_msacq+fico+I(fico^2)+ltv+I(ltv^2)+dti+log(orig_upb)+newpurchase+primary_occ+fulldocumentation|seller_name+loanyr+zipcode|0|zipcode,data=regsample2[originalterm==360 & armflag=="F" & assettype=="Subprime" & fico<8.5 & fico>3 & ltv<95])
# r[[4]] <- felm(int_rt~msinc13*factor(assettype)+fico+ltv+I(fico^2)+I(fico^3)+I(ltv^2)+I(ltv^3)+suc_share+fulldocumentation+log(orig_upb)+newpurchase+primary_occ|bank_msa+loanyr|0|zipcode,data=regsample2[originalterm==360 & armflag=="F" & !(suc_share==0 & msinc13>1e-05)])
covlabs <- c("MSAcq1-3","Alt-A","Subprime","FICO Score", "Combined loan-to-value","FICO Score2","FICO Score3", "Combined loan-to-value2", "Combined loan-to-value3","Acquirer Share","Full documentation","log(Loan amount)","New purchase","Primary residence","Nationwide MSAcq")
stargazer(r,no.space = T,align = T,omit.stat=c("ser","f", "rsq"),style = "qje",omit.table.layout = "n", dep.var.labels.include = FALSE,type="text",#covariate.labels = covlabs,
column.labels=c("Prime","Alt-A","Subprime"),column.separate=c(2,2,2),
add.lines = list(c("Bank*Zipcode", rep("Y",6)),c("Year", rep("Y",6))))##
## ================================================================================================
## Prime Alt-A Subprime
## (1) (2) (3) (4) (5) (6)
## ------------------------------------------------------------------------------------------------
## msinc13 1.467*** 7.924*** 5.153***
## (0.298) (0.744) (0.849)
## factor(msinc13G)1. 0 to 2.5pct -0.169*** 0.216*** 1.054***
## (0.008) (0.021) (0.148)
## factor(msinc13G)2. 2.5- 5pct -0.096*** 0.400*** 1.124***
## (0.015) (0.043) (0.154)
## factor(msinc13G)5. More than 5pct -0.114*** 0.497*** 1.254***
## (0.025) (0.056) (0.154)
## suc_share 0.713*** 0.854*** 2.206*** 1.977*** -0.663*** -0.721***
## (0.044) (0.044) (0.158) (0.161) (0.256) (0.256)
## nationwide_msacq -3.434*** -13.837*** -13.837*** -8.666*** -23.069*** 13.938**
## (0.614) (0.716) (2.044) (2.105) (2.259) (6.053)
## fico -1.852*** -1.842*** -1.461*** -1.475*** -1.851*** -1.855***
## (0.087) (0.087) (0.124) (0.124) (0.075) (0.075)
## I(fico2) 0.113*** 0.112*** 0.075*** 0.077*** 0.101*** 0.101***
## (0.006) (0.006) (0.009) (0.009) (0.006) (0.006)
## ltv -0.038*** -0.038*** -0.089*** -0.089*** -0.085*** -0.085***
## (0.001) (0.001) (0.001) (0.001) (0.001) (0.001)
## I(ltv2) 0.0004*** 0.0004*** 0.001*** 0.001*** 0.001*** 0.001***
## (0.00001) (0.00001) (0.00001) (0.00001) (0.00001) (0.00001)
## dti
## (0.000) (0.000) (0.000) (0.000) (0.000) (0.000)
## log(orig_upb) -0.470*** -0.470*** -0.818*** -0.819*** -0.989*** -0.989***
## (0.004) (0.004) (0.007) (0.007) (0.008) (0.008)
## newpurchase 0.014*** 0.015*** -0.032*** -0.033*** 0.028*** 0.028***
## (0.002) (0.002) (0.006) (0.006) (0.008) (0.008)
## primary_occ -0.275*** -0.274*** -0.245*** -0.247*** -0.247*** -0.248***
## (0.003) (0.003) (0.006) (0.006) (0.010) (0.010)
## fulldocumentation -0.127*** -0.125*** -0.280*** -0.281*** -0.492*** -0.492***
## (0.002) (0.002) (0.005) (0.005) (0.006) (0.006)
## Bank*Zipcode Y Y Y Y Y Y
## Year Y Y Y Y Y Y
## N 1,221,333 1,221,333 427,934 427,934 522,882 522,882
## Adjusted R2 0.418 0.418 0.353 0.353 0.282 0.282
## ================================================================================================r <- list()
r[[1]] <- felm(log(orig_upb)~msinc13+msinc4plus+suc_share+nationwide_msacq+fico+I(fico^2)+ltv+I(ltv^2)+dti+freddie+newpurchase+primary_occ|bank_msa+loanyr|0|zipcode,data=regsample[ !(suc_share==0 & msinc13>1e-05) & fico<8.5 & fico>3& ltv<95])
r[[2]] <- felm(log(orig_upb)~factor(msinc13G)+factor(msinc46G)+suc_share+nationwide_msacq+fico+I(fico^2)+ltv+I(ltv^2)+dti+freddie+newpurchase+primary_occ|bank_msa+loanyr|0|zipcode,data=regsample[ !(suc_share==0 & msinc13>1e-05) & fico<8.5 & fico>3& ltv<95])
r[[3]] <- felm(log(orig_upb)~msinc13+suc_share+nationwide_msacq+fico+I(fico^2)+I(fico^3)+ltv+I(ltv^2)+dti+freddie+newpurchase+primary_occ|bank_msa+loanyr|0|zipcode,data=regsample[ !(suc_share==0 & msinc13>1e-05) & loanyr<2008 & fico<8.5 & fico>3& ltv<95])
# covlabs <- c("MSAcq1-3","MSAcq4Plus","MSAcq1-3 (0,2.5]","MSAcq1-3 (2.5,5]","MSAcq1-3 (5,.]","MSAcq4-6 (0,2.5]","MSAcq4-6 (2.5,5]","MSAcq4-6 (5,.]","Acquirer Share","Full documentation","FICO Score", "Combined loan-to-value","FICO Score2","FICO Score3", "Combined loan-to-value2","Combined loan-to-value3","Debt-to-income","log(Loan amount)","Freddie Mac","New purchase","Alt-A","Subprime","Primar residence","Nationwide MSAcq")
stargazer(r,no.space = T,align = T,omit.stat=c("ser","f", "rsq"),style = "qje",omit.table.layout = "n", dep.var.labels.include = FALSE,type="text",
column.labels=c("GSE Sample","GSE<2008","Non-agency sample"),column.separate=c(2,1,2),
add.lines = list(c("Bank*Zipcode", rep("Y",6)),c("Year", rep("Y",6)))
)##
## ==================================================================
## GSE Sample GSE<2008
## (1) (2) (3)
## ------------------------------------------------------------------
## msinc13 0.199*** -0.282***
## (0.064) (0.098)
## msinc4plus -0.113*
## (0.066)
## factor(msinc13G)1. 0 to 2.5pct 0.002
## (0.003)
## factor(msinc13G)2. 2.5- 5pct -0.015**
## (0.007)
## factor(msinc13G)5. More than 5pct 0.012**
## (0.005)
## factor(msinc46G)1. 0 to 2.5pct 0.0001
## (0.003)
## factor(msinc46G)2. 2.5- 5pct -0.004
## (0.008)
## factor(msinc46G)5. More than 5pct -0.034***
## (0.007)
## suc_share 0.064** 0.073** 0.242***
## (0.028) (0.033) (0.036)
## nationwide_msacq 0.210*** 0.190*** 0.660***
## (0.059) (0.054) (0.096)
## fico 0.609*** 0.609*** -5.069***
## (0.014) (0.014) (0.101)
## I(fico2) -0.037*** -0.037*** 0.799***
## (0.001) (0.001) (0.015)
## I(fico3) -0.041***
## (0.001)
## ltv 0.028*** 0.028*** 0.032***
## (0.001) (0.001) (0.0005)
## I(ltv2) -0.0002*** -0.0002*** -0.0002***
## (0.00000) (0.00000) (0.00000)
## dti 0.0001*** 0.0001*** 0.0001***
## (0.00000) (0.00000) (0.00000)
## freddie -0.026*** -0.025*** -0.037***
## (0.008) (0.008) (0.007)
## newpurchase -0.023*** -0.023*** 0.025***
## (0.002) (0.002) (0.002)
## primary_occ 0.341*** 0.341*** 0.319***
## (0.009) (0.009) (0.009)
## Bank*Zipcode Y Y Y
## Year Y Y Y
## N 19,199,823 19,199,823 10,985,977
## Adjusted R2 0.418 0.418 0.364
## ==================================================================r <- list()
r[[1]] <- felm(log(orig_upb)~msinc13+suc_share+nationwide_msacq+fico+I(fico^2)+ltv+I(ltv^2)+dti+newpurchase+primary_occ+fulldocumentation|bank_msa+loanyr|0|zipcode,data=regsample2[originalterm==360 & armflag=="F" & assettype=="0Prime" & fico<8.5 & fico>3 & ltv<95])
r[[2]] <- felm(log(orig_upb)~factor(msinc13G)+suc_share+nationwide_msacq+fico+I(fico^2)+ltv+I(ltv^2)+dti+newpurchase+primary_occ+fulldocumentation|bank_msa+loanyr|0|zipcode,data=regsample2[originalterm==360 & armflag=="F" & assettype=="0Prime" & fico<8.5 & fico>3 & ltv<95])
r[[3]] <- felm(log(orig_upb)~msinc13+suc_share+nationwide_msacq+fico+I(fico^2)+ltv+I(ltv^2)+dti+newpurchase+primary_occ+fulldocumentation|bank_msa+loanyr|0|zipcode,data=regsample2[originalterm==360 & armflag=="F" & assettype=="Alt-A" & fico<8.5 & fico>3 & ltv<95])
r[[4]] <- felm(log(orig_upb)~factor(msinc13G)+suc_share+nationwide_msacq+fico+I(fico^2)+ltv+I(ltv^2)+dti+newpurchase+primary_occ+fulldocumentation|bank_msa+loanyr|0|zipcode,data=regsample2[originalterm==360 & armflag=="F" & assettype=="Alt-A" & fico<8.5 & fico>3 & ltv<95])
r[[5]] <- felm(log(orig_upb)~msinc13+suc_share+nationwide_msacq+fico+I(fico^2)+ltv+I(ltv^2)+dti+newpurchase+primary_occ+fulldocumentation|bank_msa+loanyr|0|zipcode,data=regsample2[originalterm==360 & armflag=="F" & assettype=="Subprime" & fico<8.5 & fico>3 & ltv<95])
r[[6]] <- felm(log(orig_upb)~factor(msinc13G)+suc_share+nationwide_msacq+fico+I(fico^2)+ltv+I(ltv^2)+dti+newpurchase+primary_occ+fulldocumentation|bank_msa+loanyr|0|zipcode,data=regsample2[originalterm==360 & armflag=="F" & assettype=="Subprime" & fico<8.5 & fico>3 & ltv<95])
# r[[4]] <- felm(int_rt~msinc13*factor(assettype)+fico+ltv+I(fico^2)+I(fico^3)+I(ltv^2)+I(ltv^3)+suc_share+fulldocumentation+log(orig_upb)+newpurchase+primary_occ|bank_msa+loanyr|0|zipcode,data=regsample2[originalterm==360 & armflag=="F" & !(suc_share==0 & msinc13>1e-05)])
covlabs <- c("MSAcq1-3","Alt-A","Subprime","FICO Score", "Combined loan-to-value","FICO Score2","FICO Score3", "Combined loan-to-value2", "Combined loan-to-value3","Acquirer Share","Full documentation","log(Loan amount)","New purchase","Primary residence","Nationwide MSAcq")
stargazer(r,no.space = T,align = T,omit.stat=c("ser","f", "rsq"),style = "qje",omit.table.layout = "n", dep.var.labels.include = FALSE,type="text",#covariate.labels = covlabs,
column.labels=c("Prime","Alt-A","Subprime"),column.separate=c(2,2,2),
add.lines = list(c("Bank*Zipcode", rep("Y",6)),c("Year", rep("Y",6))))##
## ===================================================================================================
## Prime Alt-A Subprime
## (1) (2) (3) (4) (5) (6)
## ---------------------------------------------------------------------------------------------------
## msinc13 -1.251*** 1.648 -2.465
## (0.446) (1.847) (2.113)
## factor(msinc13G)1. 0 to 2.5pct -0.078*** 0.133*** -0.113
## (0.008) (0.016) (0.087)
## factor(msinc13G)2. 2.5- 5pct -0.162*** -0.019 -0.242
## (0.022) (0.094) (0.377)
## factor(msinc13G)5. More than 5pct -0.099** -0.268*** -0.202
## (0.039) (0.082) (0.124)
## suc_share -0.432*** -0.375*** -0.128 -0.245*** -0.259*** -0.257***
## (0.033) (0.034) (0.090) (0.091) (0.094) (0.094)
## nationwide_msacq -13.868*** -19.223*** -0.042 5.264** -4.658** -7.576**
## (0.699) (0.862) (2.482) (2.470) (2.098) (3.545)
## fico 1.227*** 1.232*** 0.901*** 0.897*** -0.037* -0.037*
## (0.051) (0.051) (0.052) (0.052) (0.020) (0.020)
## I(fico2) -0.079*** -0.079*** -0.064*** -0.064*** 0.007*** 0.007***
## (0.004) (0.003) (0.004) (0.004) (0.002) (0.002)
## ltv 0.058*** 0.058*** 0.057*** 0.057*** 0.039*** 0.039***
## (0.001) (0.001) (0.001) (0.001) (0.0004) (0.0004)
## I(ltv2) -0.0004*** -0.0004*** -0.0004*** -0.0004*** -0.0002*** -0.0002***
## (0.00000) (0.00000) (0.00000) (0.00000) (0.00000) (0.00000)
## dti
## (0.000) (0.000) (0.000) (0.000) (0.000) (0.000)
## newpurchase 0.016*** 0.016*** -0.026*** -0.026*** -0.063*** -0.063***
## (0.002) (0.002) (0.003) (0.003) (0.002) (0.002)
## primary_occ 0.269*** 0.270*** 0.198*** 0.197*** 0.122*** 0.122***
## (0.003) (0.003) (0.003) (0.003) (0.003) (0.003)
## fulldocumentation 0.029*** 0.029*** 0.008*** 0.008*** -0.047*** -0.047***
## (0.001) (0.001) (0.002) (0.002) (0.002) (0.002)
## Bank*Zipcode Y Y Y Y Y Y
## Year Y Y Y Y Y Y
## N 1,221,578 1,221,578 428,133 428,133 523,271 523,271
## Adjusted R2 0.632 0.632 0.579 0.579 0.672 0.672
## ===================================================================================================