Publications by DR VY
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density_plot_options <- list( theme_minimal(), theme(axis.text.y = element_blank()) ) la_banks <- fread("la_banks.csv") la_banks <- paste(unique(la_banks$rssd),collapse = ",") con_call <- dbConnect(RSQLite::SQLite(), "C:/Users/dratnadiwakara2/Documents/OneDrive - Louisiana State University/Raw Data/Call Reports/call_reports.db") con_ubp...
473 sym Python (11881 sym/10 pcs) 6 img
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# # 2000 data: NAICS Based Measure # # # NAICS is available in CBP data post 1997. # # # # cbp employment raw data # cbp <- fread(paste0("C:/Users/dratnadiwakara2/Documents/OneDrive - Louisiana State University/Raw Data/CBP/county/cbp",substr(st_yr,3,4),"co.txt")) # cbp[,naics:=as.numeric(naics)] # cbp <- cbp[!is.na(naics)] # # cbp[,i...
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# # 2000 data: NAICS Based Measure # # # NAICS is available in CBP data post 1997. # # # # cbp employment raw data # cbp <- fread(paste0("C:/Users/dratnadiwakara2/Documents/OneDrive - Louisiana State University/Raw Data/CBP/county/cbp",substr(st_yr,3,4),"co.txt")) # cbp[,naics:=as.numeric(naics)] # cbp <- cbp[!is.na(naics)] # # cbp[,i...
511 sym R (19252 sym/22 pcs) 12 img
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# created by bb_bank_data_prelim_03.RMD parent_sub <- fread("ticker_parentRSSD_subRSSD_2.csv") bhc_ids <- parent_sub[!duplicated(parent_sub[,c("ID_RSSD_PARENT","ticker")])] file_path <-"bb_bank_with_BAC.xlsx" sheets <- excel_sheets(file_path) sheets <- sheets[sheets !="tickers"] sheet_list <- list() sheet_list <- lapply(sheets, function(x) ...
47 sym Python (42744 sym/28 pcs) 9 img
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1 Growth of US imports from China 2 Change in number of branches and deposits Import sensitivity for each county was calculated by following Autor,Dorn, and Hanson (2013). Data period 2000 to 2007. Counties are categorized in to three groups: 1 - lowest third sensitivity, 2 - middle third senstivitiy, 3 - top third sensitivity County-level...
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adh <- fread("autordornhanson.csv") Table 2 of Autor, David H., David Dorn, and Gordon H. Hanson. “The China syndrome: Local labor market effects of import competition in the United States.” American economic review 103.6 (2013): 2121-2168. r <- list() r[[1]] <- felm( d_sh_empl_mfg~1|0|(d_tradeusch_pw~d_tradeotch_pw_lag)|statefip,data=adh[...
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Louisiana Banking Statistics
1 Asset Growth and Composition 1.1 All Banks 1.2 Small Banks 1.3 Medium Banks 1.4 Large Banks 2 Deposit Growth and Composition 2.1 All Banks 2.2 Small Banks 2.3 Medium Banks 2.4 Large Banks 3 Loans 3.1 Allowance for loan and lease losses 3.2 Loan Composition - All Banks 3.3 Loan Composition - Small Banks 3.4 Loan Composition - ...
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1 Reading data 1.1 NFIP 1.2 Election data 1.3 Yale perception data 1.4 Disaster declaration data 1.5 ACS Data 1.6 Merge Data 2 Regression Setup 2.1 Variables 2.2 Non-SFHA Sample 2.3 SFHA Sample 3 Table 1 3.1 Panel A Descriptive Stats Non-SFHA ## ## ===============================================================================...
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1 List of Mergers # # 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","reporterho...
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1 HMDA Sample cbsa_bnk <- read_fst("C:/Users/dratnadiwakara2/Documents/OneDrive - Louisiana State University/Projects/Bank Mergers/data/cbsa_bnk_2.fst",as.data.table = T) cbsa_bnk[,msinc13Q:=ifelse(msinc13<=0.0001,"Q0", ifelse(msinc13<0.0027235,"Q1", ifelse(msinc13<0.0112596,"Q2", ...
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