000			02111nam a22003137a 4500
001			sulb-eb0017331
003			BD-SySUS
005			20160405140648.0
008			101021s2010||||enk o ||1 0|eng|d
020			_a9780511814235 (ebook)
020			_z9780521873390 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP _dBD-SySUS.
050	0	0	_aHD1382.5 _b.B756 2010
082	0	0	_a332.63/2401 _222
100	1		_aBrooks, Chris, _eauthor.
245	1	0	_aReal Estate Modelling and Forecasting / _cChris Brooks, Sotiris Tsolacos.
246	3		_aReal Estate Modelling & Forecasting
264		1	_aCambridge : _bCambridge University Press, _c2010.
300			_a1 online resource (474 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 04 Apr 2016).
520			_aAs real estate forms a significant part of the asset portfolios of most investors and lenders, it is crucial that analysts and institutions employ sound techniques for modelling and forecasting the performance of real estate assets. Assuming no prior knowledge of econometrics, this book introduces and explains a broad range of quantitative techniques that are relevant for the analysis of real estate data. It includes numerous detailed examples, giving readers the confidence they need to estimate and interpret their own models. Throughout, the book emphasises how various statistical techniques may be used for forecasting and shows how forecasts can be evaluated. Written by a highly experienced teacher of econometrics and a senior real estate professional, both of whom are widely known for their research, Real Estate Modelling and Forecasting is the first book to provide a practical introduction to the econometric analysis of real estate for students and practitioners.
700	1		_aTsolacos, Sotiris, _eauthor.
776	0	8	_iPrint version: _z9780521873390
856	4	0	_uhttp://dx.doi.org/10.1017/CBO9780511814235
942			_2Dewey Decimal Classification _ceBooks
999			_c38769 _d38769