A mass-market appraisal of the English housing rental market using a diverse range of modelling techniques

Clark, Stephen D.; Lomax, Nik

doi:10.1186/s40537-018-0154-3

Journal of Big Data

Table 1 GLM of 2015 rental market

From: A mass-market appraisal of the English housing rental market using a diverse range of modelling techniques

Attribute	N/median	Estimate	Std error	t
Intercept	487,253	6.4510	0.0067	957.7***
Flat	212,275
Bungalow	11,617	0.0073	0.0059	1.2
Detached	31,996	0.0192	0.0037	5.2***
Semi-detached	54,410	− 0.0463	0.0032	− 14.5***
Terraced	111,087	− 0.0185	0.0025	− 7.4***
Unknown	65,868	0.0169	0.0026	6.4***
1 bedroom	94,379
2 bedrooms	192,236	0.2772	0.0024	116.8***
3 bedrooms	123,546	0.5157	0.0028	186.7***
4 bedrooms	41,505	0.7607	0.0033	228.6***
5 bedrooms	12,558	1.0080	0.0043	235.7***
6 and more bedrooms	7097	1.2650	0.0051	248.3***
Unknown bedrooms	15,932	− 0.0881	0.0050	− 17.7***
1 bathroom	194,157
2 bathrooms	45,440	0.1314	0.0026	50.8***
3 bathrooms	6767	0.3343	0.0047	71.2***
4 bathrooms	1150	0.5347	0.0085	63.3***
5 and more bathrooms	622	0.6633	0.0107	62.0***
Unknown bathrooms	239,117	0.1169	0.0024	48.2***
1 reception room	159,999
2 reception rooms	41,912	0.0020	0.0030	0.7
3 reception rooms	4921	0.0681	0.0060	11.4***
4 reception rooms	723	0.2235	0.0113	19.8***
5 and more reception rooms	191	0.3379	0.0189	17.9***
Unknown reception rooms	279,507	− 0.0333	0.0024	− 13.9***
January	50,988
February	37,309	− 0.0220	0.0036	− 6.2***
March	39,601	− 0.0179	0.0035	− 5.1***
April	38,037	− 0.0098	0.0035	− 2.8**
May	40,414	0.0095	0.0034	2.8**
June	42,095	− 0.0090	0.0034	− 2.7**
July	44,808	− 0.0031	0.0033	− 0.9
August	39,791	0.0068	0.0035	2.0*
September	37,994	− 0.0041	0.0035	− 1.2
October	43,005	0.0086	0.0034	2.5*
November	42,037	0.0238	0.0034	7.0***
December	31,174	0.0042	0.0038	1.1
Up to 4 web site visits per day	24,094
5–10 web site visits per day	14,610	0.0244	0.0055	4.4***
11–20 web site visits per day	23,114	− 0.0199	0.0050	− 3.9***
21–60 web site visits per day	39,969	− 0.0469	0.0046	− 10.3***
61 and more web site visits per day	29,423	− 0.0754	0.0050	− 15.2***
Unknown site visits	356,043	0.0230	0.0037	6.2***
Affluent achievers	60,017
Rising prosperity	136,624	− 0.1961	0.0026	− 74.5***
Comfortable communities	98,779	− 0.2798	0.0028	− 99.7***
Financially stretched	92,146	− 0.3463	0.0031	− 112.9***
Urban adversity	96,472	− 0.4212	0.0031	− 134.3***
Not private households	3008	− 0.0994	0.0090	− 11.1***
ACORN not known	207	− 0.1028	0.0274	− 3.8***
Distance from the City of London (logged in model)	113.95 km	− 0.2862	0.00079	− 363.2***
Distance from railway station (logged in model)	1.11 km	− 0.0204	0.0010	− 20.0***
Outstanding primary school	91,869
Good primary school	308,287	− 0.0487	0.0019	− 26.2***
Requires improvement primary school	79,841	− 0.0614	0.0026	− 24.0***
Inadequate primary school	7256	− 0.0972	0.0071	− 13.7***
Outstanding secondary school	119,014
Good secondary school	245,070	− 0.0760	0.0018	− 43.2***
Requires improvement secondary school	96,715	− 0.1047	0.0024	− 44.6***
Inadequate secondary school	26,454	− 0.1269	0.0044	− 28.9***
Retail health	30.53	0.0025	0.00005	52.2***
Access health	7.21	− 0.0001	0.00008	− 1.9
Environment health	25.32	0.0004	0.00004	10.5***

Note Statistical significance: *** < 0.1%; ** < 1%; * < 5%; . < 10%

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