Living Standards Analytics Development through the Lens of Household
The purpose of this book is to introduce, discuss, illustrate, and evaluate the colorful palette of analytical techniques that can be applied to the analysis of household survey data, with an emphasis on the innovations of the past decade or so.Most of th
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Advisors: S.E. Fienberg W.J. van der Linden
For further volumes: http://www.springer.com/series/3463
Dominique Haughton
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Jonathan Haughton
Living Standards Analytics Development through the Lens of Household Survey Data
Dominique Haughton Department of Mathematical Sciences Bentley College Waltham, MA, USA [email protected]
Jonathan Haughton Department of Economics Suffolk University Boston, MA, USA [email protected]
ISBN 978-1-4614-0384-5 e-ISBN 978-1-4614-0385-2 DOI 10.1007/978-1-4614-0385-2 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2011934800 # Springer Science+Business Media, LLC 2011
All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
To our parents Monique and Paul Boudier and Helen and Joe Haughton and to our daughter Isabelle
Preface
The Gallup Organization polls a thousand people every day. The Thailand Statistical Office interviews 3,000 households, using detailed surveys, every month. The amount of digital information doubles every 18 months. We are, to use a headline from The Economist, facing a data deluge. What a contrast to the time when Nobel prize winner Wassily Leontief (1971), in his Presidential Address to the American Economic Association, could complain about a plethora of theory and a dearth of data, and call for a shift to “large-scale factual analysis” (p. 5). The earliest analysis of household survey data – going back at least to the pioneering work of Seebohm Rowntree (1901) – was largely confined to tabulations. Starting in 1980, the World Bank’s Living Standards Measurement Survey project boosted the pace and quality of household survey data gathered in Less-Developed Countries; 89 of the surveys may be downloaded from its Web site, but hundreds more such surveys are now available. By 2002 the project had generated 135 technical papers. This second wave emphasized the use of graphical and regression techniques, nicely summed up in the essential volume by Angus Deaton, The Analysis of Household Surveys: A Microeconometric Approach to Economic Development (1987). We are now experiencing a third wave, with the increasing application of an ever-broadening array of analytical tools – such as directed acyclic graphs (DAGs), Kohonen maps, and propensity score matching
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