Credit off-take from formal financial institutions in rural India: quantile regression results

Pal, Debdatta; Laha, Arnab Kumar

doi:10.1186/s40100-014-0009-y

Agricultural and Food Economics

Table 7 Loan amount across quantiles under varying situations

From: Credit off-take from formal financial institutions in rural India: quantile regression results

Case no.	State	PIRRI	AGRI	EDU	FININS	PELECTRIC	LANDD1	LANDD2	LANDD3	IRRISTATD1	ALACDUM	INFORDUM	DWELLD2	SANITD1	FAMTOT	CASTRDUM	PURPDUM	SECDUM	TCOST	RAINT	LOAN AMT
Case no.	State	PIRRI	AGRI	EDU	FININS	PELECTRIC	LANDD1	LANDD2	LANDD3	IRRISTATD1	ALACDUM	INFORDUM	DWELLD2	SANITD1	FAMTOT	CASTRDUM	PURPDUM	SECDUM	TCOST	RAINT	10%	50%	90%
1	CGARH	50	10	6	8	50	Yes			Yes	No	No	No	Yes	2	No	Yes	Yes	500	10	7089	30934	75653
2	CGARH	50	10	6	8	50		Yes		Yes	No	No	No	Yes	2	No	Yes	Yes	500	10	7804	44717	87152
3	CGARH	50	10	6	8	50			Yes	Yes	No	No	No	Yes	2	No	Yes	Yes	500	10	9405	44618	124442
4	CGARH	90	4	2	2	90	Yes			Yes	Yes	Yes	Yes	Yes	4	Yes	Yes	No	300	4	5579	22667	81223
5	CGARH	90	4	2	2	90		Yes		Yes	Yes	Yes	Yes	Yes	4	Yes	Yes	No	300	4	6294	36450	92723
6	CGARH	90	4	2	2	90			Yes	Yes	Yes	Yes	Yes	Yes	4	Yes	Yes	No	300	4	7894	36351	130012
7	MAHA	50	10	6	8	50	Yes			Yes	No	No	No	Yes	2	No	Yes	Yes	500	10	12198	36813	82157
8	MAHA	50	10	6	8	50		Yes		Yes	No	No	No	Yes	2	No	Yes	Yes	500	10	12913	50596	93656
9	MAHA	50	10	6	8	50			Yes	Yes	No	No	No	Yes	2	No	Yes	Yes	500	10	14513	50497	130946
10	MAHA	90	4	2	2	90	Yes			Yes	Yes	Yes	Yes	Yes	4	Yes	Yes	No	300	4	10687	28546	87727
11	MAHA	90	4	2	2	90		Yes		Yes	Yes	Yes	Yes	Yes	4	Yes	Yes	No	300	4	11402	42329	99227
12	MAHA	90	4	2	2	90			Yes	Yes	Yes	Yes	Yes	Yes	4	Yes	Yes	No	300	4	13003	42230	136516
13	WB	50	10	6	8	50	Yes			Yes	No	No	No	Yes	2	No	Yes	Yes	500	10	3238	23861	65198
14	WB	50	10	6	8	50		Yes		Yes	No	No	No	Yes	2	No	Yes	Yes	500	10	3952	37644	76697
15	WB	50	10	6	8	50			Yes	Yes	No	No	No	Yes	2	No	Yes	Yes	500	10	5553	37545	113987
16	WB	90	4	2	2	90	Yes			Yes	Yes	Yes	Yes	Yes	4	Yes	Yes	No	300	4	1727	15594	70768
17	WB	90	4	2	2	90		Yes		Yes	Yes	Yes	Yes	Yes	4	Yes	Yes	No	300	4	2442	29377	82268
18	WB	90	4	2	2	90			Yes	Yes	Yes	Yes	Yes	Yes	4	Yes	Yes	No	300	4	4042	29278	119557
19	AP	50	10	6	8	50	Yes			Yes	No	No	No	Yes	2	No	Yes	Yes	500	10	6284	9353	55307
20	AP	50	10	6	8	50		Yes		Yes	No	No	No	Yes	2	No	Yes	Yes	500	10	6999	23136	66806
21	AP	50	10	6	8	50			Yes	Yes	No	No	No	Yes	2	No	Yes	Yes	500	10	8600	23037	104096
22	AP	90	4	2	2	90	Yes			Yes	Yes	Yes	Yes	Yes	4	Yes	Yes	No	300	4	4774	1086	60877
23	AP	90	4	2	2	90		Yes		Yes	Yes	Yes	Yes	Yes	4	Yes	Yes	No	300	4	5489	14869	72377
24	AP	90	4	2	2	90			Yes	Yes	Yes	Yes	Yes	Yes	4	Yes	Yes	No	300	4	7089	14770	109666
25	GUJ	50	10	6	8	50	Yes			Yes	No	No	No	Yes	2	No	Yes	Yes	500	10	7272	55445	230534
26	GUJ	50	10	6	8	50		Yes		Yes	No	No	No	Yes	2	No	Yes	Yes	500	10	7987	69228	242034
27	GUJ	50	10	6	8	50			Yes	Yes	No	No	No	Yes	2	No	Yes	Yes	500	10	9588	69129	279323
28	GUJ	90	4	2	2	90	Yes			Yes	Yes	Yes	Yes	Yes	4	Yes	Yes	No	300	4	5709	42497	206908
29	GUJ	90	4	2	2	90		Yes		Yes	Yes	Yes	Yes	Yes	4	Yes	Yes	No	300	4	6423	56280	218408
30	GUJ	90	4	2	2	90			Yes	Yes	Yes	Yes	Yes	Yes	4	Yes	Yes	No	300	4	8024	56181	255697

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