CHRIS LEISHMAN is Lecturer in the School of the Built Environment at Heriot Watt University. His research interests include: the economics of the house building industry; housing market modeling, migration analysis, analysis of price dynamics; analysis of house buyers' behaviour and preferences; commercial property market econometric modeling and forecasting; and analysis of spatial and structural submarkets.

• IntroductionResearch Practice and Real Estate Market AnalysisSampling Theory and Hypothesis TestingSimple and Multiple Regression AnalysisCommercial Real Estate Rent Determination ModelsAdvanced Real Estate Rent Determination and Modelling IssuesPrivate Housing Market AnalysisModelling Real Estate Markets at the Local LevelRetail Gravity ModelsOption Pricing Theory and Real Estate ResearchQualitative Methods in Real Estate ResearchGlossary.

'The real strength of the book is that it draws together, in a single source, problems from basic property economics and an introduction to the statistical and econometric methods that can help analyze these. Importantly, the book improves on existing texts on Statistics for Business or Social Science research methods by developing applied property market examples and by locating these examples in the context of key developments in the maturing property research literature. For these reasons the text will justifiably become essential reading for those studying property economics, statistics for property and applied market analysis.' - Dr Craig Watkins, Department of Land Economy, University of Aberdeen, UK

CHRIS LEISHMAN is Lecturer in the School of the Built Environment at Heriot Watt University. His research interests include: the economics of the house building industry; housing market modeling, migration analysis, analysis of price dynamics; analysis of house buyers' behaviour and preferences; commercial property market econometric modeling and forecasting; and analysis of spatial and structural submarkets.

• IntroductionResearch Practice and Real Estate Market AnalysisSampling Theory and Hypothesis TestingSimple and Multiple Regression AnalysisCommercial Real Estate Rent Determination ModelsAdvanced Real Estate Rent Determination and Modelling IssuesPrivate Housing Market AnalysisModelling Real Estate Markets at the Local LevelRetail Gravity ModelsOption Pricing Theory and Real Estate ResearchQualitative Methods in Real Estate ResearchGlossary.

'The real strength of the book is that it draws together, in a single source, problems from basic property economics and an introduction to the statistical and econometric methods that can help analyze these. Importantly, the book improves on existing texts on Statistics for Business or Social Science research methods by developing applied property market examples and by locating these examples in the context of key developments in the maturing property research literature. For these reasons the text will justifiably become essential reading for those studying property economics, statistics for property and applied market analysis.' - Dr Craig Watkins, Department of Land Economy, University of Aberdeen, UK

CHRIS LEISHMAN is Lecturer in the School of the Built Environment at Heriot Watt University. His research interests include: the economics of the house building industry; housing market modeling, migration analysis, analysis of price dynamics; analysis of house buyers' behaviour and preferences; commercial property market econometric modeling and forecasting; and analysis of spatial and structural submarkets.

• IntroductionResearch Practice and Real Estate Market AnalysisSampling Theory and Hypothesis TestingSimple and Multiple Regression AnalysisCommercial Real Estate Rent Determination ModelsAdvanced Real Estate Rent Determination and Modelling IssuesPrivate Housing Market AnalysisModelling Real Estate Markets at the Local LevelRetail Gravity ModelsOption Pricing Theory and Real Estate ResearchQualitative Methods in Real Estate ResearchGlossary.

'The real strength of the book is that it draws together, in a single source, problems from basic property economics and an introduction to the statistical and econometric methods that can help analyze these. Importantly, the book improves on existing texts on Statistics for Business or Social Science research methods by developing applied property market examples and by locating these examples in the context of key developments in the maturing property research literature. For these reasons the text will justifiably become essential reading for those studying property economics, statistics for property and applied market analysis.' - Dr Craig Watkins, Department of Land Economy, University of Aberdeen, UK