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Loan as unit of observation file with loan term, dates, categorization, etc.

Usage

tstm_loans

Format

Loan dataframe with various loan attributes

loan_id

Individual loan ID

Examples

data(tstm_loans)
print(tstm_loans)
#> # A tibble: 20,940 × 36
#>    loan_id S_region provid_Num      vilid_Num hhid_Num surveymonth institutional
#>      <int> <chr>    <chr>               <dbl>    <dbl>       <dbl> <lgl>        
#>  1       1 CENTRAL  Chacheongsao(C…       702    70203          12 FALSE        
#>  2       2 CENTRAL  Chacheongsao(C…       702    70203          15 FALSE        
#>  3       3 CENTRAL  Chacheongsao(C…       702    70203          39 TRUE         
#>  4       4 CENTRAL  Chacheongsao(C…       702    70203          51 TRUE         
#>  5       5 CENTRAL  Chacheongsao(C…       702    70203          64 FALSE        
#>  6       6 CENTRAL  Chacheongsao(C…       702    70203          64 FALSE        
#>  7       7 CENTRAL  Chacheongsao(C…       702    70203          65 TRUE         
#>  8       8 CENTRAL  Chacheongsao(C…       702    70203          74 FALSE        
#>  9       9 CENTRAL  Chacheongsao(C…       702    70203          74 TRUE         
#> 10      10 CENTRAL  Chacheongsao(C…       702    70203          77 TRUE         
#> # ℹ 20,930 more rows
#> # ℹ 29 more variables: forinfm3 <chr>, formal <lgl>, formalqf <lgl>,
#> #   G_LenderType <chr>, calenderyear <dbl>, calendermonth <chr>,
#> #   S_Init_Interest_Has <chr>, S_Init_Interest_Rate <dbl>,
#> #   S_Init_Interest_MthAnnWk <chr>, S_Init_Amount <dbl>,
#> #   S_Init_Interest_IntMthlyRat <dbl>, G_Location <chr>,
#> #   G_Loan_Init_Length <dbl>, G_Loan_Init_IntTotRat <dbl>, …