id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_mbynvna4rrglnbhsbfzweuopba	Christina Jenq	Beauty, weight, and skin color in charitable giving	2015	20	.pdf	application/pdf	17319	2595	34	a wide range of controls including loan characteristics, country fixed effects, MFI fixed effects, economic sector and business our sample's default rate is about 1.8%.7 However, we find no evidence that borrower physical characteristics significantly lender statistical discrimination on the basis of default risk, which would predict that less-preferred borrower attributes are otes: Summary statistics are based on all loans posted on Kiva during the respective time periods of 2007–2009 (full data) and June 2009 (analysis sample). hether a borrower's physical attractiveness, physique and skin color affect how quickly their loans are funded, holding all whether photo-based physical and subjective characteristics matter, we include additional fixed effects for the borrower's Loans to beautiful borrowers are more likely to be funded by less experienced lenders. ln(time to funding) Average lender characteristics of loan Our analysis uses loan-level measures of lender experience and borrower characteristics as the units of observation,	./cache/work_mbynvna4rrglnbhsbfzweuopba.pdf	./txt/work_mbynvna4rrglnbhsbfzweuopba.txt