Fr. 90.00

Housing the Poor in the Developing World - Methods of Analysis, Case Studies and Policy

English · Hardback

Shipping usually within 1 to 3 weeks (not available at short notice)

Description

Read more

Informationen zum Autor A.Graham Tipple, Kenneth G.Willis Klappentext First Published in 2004. Routledge is an imprint of Taylor & Francis, an informa company. Zusammenfassung This broad methodological survey proposes a new approach to housing planning in the developing world - one rooted in its local context. It draws together methods and case studies from a range of disciplines. Inhaltsverzeichnis 1 Introduction to housing analysis and an overview 2 Participant observation: A study of state-aided self-help housing in Lucknow, India 3 Cultural change analysis: Core concepts of housing for the Tswana 4 Time series analysis: a longitudinal study of housing quality in Lusaka 5 Comparative analysis: Studying housing processes in Latin American cities 6 Analysis of government mortgage records: Insights for state theory and housing policy with reference to Jamaica 7 Ratio analysis: A study of mortgage borrowers in Tunisia 8 Discriminant analysis: Tenure choice and demand for housing services in Kumasi, Ghana 9 Regression analysis: Determinants of overcrowding and house condition in Ghanaian housing markets 10 Econometric analysis: Measuring the impact of rent controls in urban housing markets 11 Contingent valuation: Estimating the willingness to pay for housing services: a case study of water supply in Southern Haiti 12 Discounted cash flow analysis: Present value models of housing programmes and policies 13 Cost-benefit analysis: Housing and squatter upgrading in East Africa 14 Methods of analysis and policy

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.