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Measurement error in recall surveys and the relationship between household size and food demand.


by Gibson, John^Kim, Bonggeun

However, even in the empirical results reported here there is a significant negative effect of household size on per capita food demand in most of the samples. This negative effect conflicts with the theoretical predictions of the Barren (1964) two-good model of scale economies. Thus it is likely that measurement error is only one part of the explanation for the puzzle about the effect of household size on food demand. Moreover, the theoretical results indicate that the puzzle raised by Deaton and Paxson cannot be accounted for by uncorrelated measurement error, so to the extent that measurement error does contribute a partial explanation, it can only be in its correlated variety.

The authors are grateful to Andrew Horowitz, Scott Rozelle, the editor and three anonymous referees for helpful discussions and to Trinh Le and Susan Olivia for outstanding research assistance. Any remaining errors are the authors'. The financial support from the AARES-AAEA Young Professionals Exchange Travel Award-Heading North is gratefully acknowledged.

[Received May 2004; accepted July 2006.]

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(1) In 1995, 30% of articles in three leading development journals used household survey data, up from only 6% in 1975 (Grosh and Glewwe 1996).

(2) In Taiwan, a subsample of households in the Survey of Personal Income Distribution have their expenditures measured with both the diary and the recall methods. The results from these two methods are then compared to check and correct the results for all of the other sampled households, who are just given the recall method. In the U.S. Consumer Expenditure Survey (CEX), the interview sample comprises a panel of households making four, consecutive, three-monthly recalls of recurring expenses, including food and other groceries with over 600 detailed spending, income, and wealth items in the questionnaire. Another sample use diaries to record purchases for two weeks. The published results integrate the data from the two samples.

(3) This alternating design avoids a flaw in earlier studies that carried out similar comparisons (Kemsley and Nicholson 1960: McWhinney and Champion 1974). These flawed studies asked respondents to recall expenditures from the previous week and then gave the diaries to be completed in the week following. The data from the unbounded recall interview may thus be biased upwards by telescoping errors--the incorrect placement of earlier expenditures in the recall period by the respondent (Sudman and Bradburn 1973).

(4) In the Indonesian survey used below, there is only a 5% chance that a three-person household is composite, but a 23% chance of a ten-person household being composite.

(5) In the diary sample in Gibson (2002), increasing household size from two people to ten people causes the number of food purchases to triple (from 50 to 140 per fortnight) but nonfood purchases only doubled (from 25 to 50).

(6) If the diary is filled out by the enumerator on behalf of either a noncompliant or illiterate respondent this advantage is likely to be lost. There is limited research on the issue of who actually fills out expenditure diaries.

(7) Despite the lack of theoretical support for this method, as first pointed out by Nicholson (1976) and repeated by Deaton (1997), a number of economists continue to use the Engel method in studies of scale economies and the adult-equivalence of children in developing countries. Examples include Lanjouw and Ravallion (1995), Lancaster, Ray. and Valenzuela (1999), and White and Masset (2002).


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