Behavioural Science And Housing Decision Making
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Behavioural Science and Housing Decision Making
This book takes a behavioural approach to examine six important housing questions: tenure decision, gentrification, place attachment, housing bubbles, housing wealth, and residential satisfaction. Using experimental and field data, the book demonstrates the effects of six behavioural biases and heuristics (i.e., anchoring and reference dependence, loss aversion, mental accounting, endowment effect, herd behaviours, and social comparison) on these housing decisions. The first part of the book introduces the questions and provides a behavioural science toolbox before the second part adopts a real-world case study approach. Real data sets and suggested answers are provided, and the cases come from the UK, USA, and China. Background information is given in each case to facilitate the understanding of the case data and question, as well as the discussions on the results. This book is ideal supplementary reading on a variety of courses such as housing studies, economics, real estate, research methods, and for students and academics who are interested in the application of behavioural science in housing decisions.
Behavioural Science and Housing Decision Making
This book takes a behavioural approach to examine six important housing questions: tenure decision, gentrification, place attachment, housing bubbles, housing wealth, and residential satisfaction. Using experimental and field data, the book demonstrates the effects of six behavioural biases and heuristics (i.e., anchoring and reference dependence, loss aversion, mental accounting, endowment effect, herd behaviours, and social comparison) on these housing decisions. The first part of the book introduces the questions and provides a behavioural science toolbox before the second part adopts a real-world case study approach. Real data sets and suggested answers are provided, and the cases come from the UK, USA, and China. Background information is given in each case to facilitate the understanding of the case data and question, as well as the discussions on the results. This book is ideal supplementary reading on a variety of courses such as housing studies, economics, real estate, research methods, and for students and academics who are interested in the application of behavioural science in housing decisions.
The Routledge Handbook of Housing Economics
The Routledge Handbook of Housing Economics brings together an international panel of contributors to present a comprehensive overview of this important field within economics. Housing occupies an increasingly central role in modern society, dominating consumer assets and spending, forming an important part of social policy and being a large enough market to impact the macroeconomy. This handbook tackles these themes, along with other critical issues such as intergenerational housing inequality and the efficiency and social justice of housing interventions. This volume is structured in four main parts. It starts with eight chapters in microeconomics and housing. This is followed by two shorter sections on macroeconomics and finance. The final main part of the book is concerned with eight chapters on policy dimensions. While many of the chapters are rooted in mainstream economics and finance applied to housing, there are also chapters stressing institutional, behavioural and political economy orientations, as well as those that explicitly challenge more mainstream accounts. The contributing authors are based in Europe, North America and Australia and all draw in international literature to provide state of the art reviews of their topics. This carefully curated handbook will be essential reading for advanced students, researchers and policy makers in housing economics, urban economics, urban planning, public economics and real estate economics and finance. Chapter 22 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.