Create an Account

Letterote: Lending Club statistics are computed from LendingClub loan issue data as a consequence of

Desk 8: Logit rates away from whether or not the application for the loan gets financed

Chances Percentages () Opportunity Ratios ()
Home business Dummy step one.969*** step one.796***
Small business http://www.servicecashadvance.com/title-loans-wv/ Dummy: t-statistics [] []
Number Requested 0.955*** 0.957***
Amount Expected: t-statistics ($1,000’s) [-] [-]
State house Speed List step one.348*** 1.318***
State house Price List (1 year slowdown, 1=100): t-analytics [] []
Fico Rating step 1.018*** step 1.017***
Fico Score: t-statistics [] []
Working lower than 12 months 0.035*** 0.028***
Functioning less than one year: t-statistics [-] [-]
Application year (2007 is actually omitted):2008 0.504***
Application seasons (2007 try omitted):2008 :t-analytics [-]
Software season (2007 is omitted):2009 0.430***
App 12 months (2007 try omitted):2009: t-analytics [-]
App year (2007 was excluded):2010* 0.803***
App year (2007 are excluded):2010*: t-statistics [-cuatro.52]
Application year (2007 are excluded):2011 1.272*** step 1.610***
Software 12 months (2007 try omitted):2011: t-analytics [4.99] []
Application season (2007 is actually omitted):2012 2.574*** step 3.249***
Software season (2007 are omitted): 2012: t-statistics [] []
Lingering 0.100*** 0.000***
Constant: t-statistics [-] [-]
Pseudo R2 0.415 0.445
N 766,761 683,599

Note: t-statistics inside the mounts. *** means benefit in the step 1% level; ** means importance at the 5% level; and you can * implies relevance from the ten% height. Software away from prior to 2010 do not completely list all company financing.

Dining table nine: Regression results for interest paid into mortgage

Linear Reg
Small business Dummy 0.893***
Home business Dummy: t-analytics []
Number Requested ($step 1,000’s) 0.141***
Number Requested ($1,000’s): t-analytics []
Treasury Price -0.152***
Treasury Price: t-analytics [-2.68]
Fico Get -0.088***
Fico Get : t-analytics [-]
Annual Money ($1,000’s) 0.000
Annual Earnings ($1,000’s): t-analytics [0.60]
Condition Population (one year slowdown, inside 1,000’s) -0.100
Condition Populace (12 months lag, into the step one,000’s): t-analytics [-0.00]
County Each Capita Earnings (one year slowdown, inside the $1,000’s) -0.000
County For every single Capita Money (one year slowdown, from inside the $1,000’s) : t-statistics [-0.84]
Resident -0.118***
Home owner: t-statistics [-seven.86]
County Home Price Index (1 year meters. avg lag, 1=100) -0.075*
State Household Price List (1 year m. avg slowdown, 1=100): t-analytics [-1.70]
Mortgage Size (0 try 36 months, step 1 was 60 days) step three.630***
Mortgage Duration (0 try 3 years, 1 are 60 days): t-analytics []
Working less than 12 months 0.101***
Operating less than one year: t-analytics [4.38]
Application year (2007 is actually omitted) 2008 0.552***
Application season (2007 try excluded) 2008: t-analytics [step 3.53]
Software year (2007 was omitted) 2009 dos.110***
Application season (2007 are omitted) 2009: t-analytics [nine.70]
Application seasons (2007 is excluded) 2010 0.417*
App year (2007 was excluded) 2010: t-analytics [step 1.86]
Software 12 months (2007 is actually excluded) 2011 0.292
App season (2007 is omitted) 2011: t-statistics [1.27]
Application 12 months (2007 try omitted) 2012 0.942***
Software 12 months (2007 is actually excluded) 2012:t-statistics [4.10]
Constant ***
Constant: t-statistics []
Adjusted R2 0.769
N 84,342

Note: t-analytics inside the mounts. *** means value in the step one% level; ** implies benefits at 5% level; and you can * ways importance on 10% top. County fixed effects included in quote.

Leave a Reply

Your email address will not be published. Required fields are marked *

Back to Top
Shop Now? On whatsapp