The present chapter reviews basic issues concerning the design of household survey questionnaires for use in developing countries. It begins with the first step of questionnaire design, which is to formulate the objectives of the survey and then modify those objectives to take into account the underlying constraints. After these broad issues are discussed, more detailed advice is given on many ...

The simple one-good model of life-cycle consumption requires that consumption be continuous over retirement; yet prior research based on partial measures of consumption or on synthetic panels indicates that spending drops at retirement, a result that has been called the retirement-consumption puzzle. Using panel data on total spending, nondurable spending and food spending, we find that spendin...

BACKGROUND Evidence suggests that survey response rates are decreasing and that the level of survey response can be influenced by questionnaire length and the use of pre-notification. The goal of the present investigation was determine the effect of questionnaire length and pre-notification type (letter vs. postcard) on measures of survey quality, including response rates, response times (days ...

The growing use of new technologies permit now to collect data cheaper and quickly. In this paper we present data of longitudinal survey on graduates carried on at Pisa University. The results obtained from this data show that graduates are moving from paper to web. Stepwise logistic regression permits to assess characteristics of Web vs paper respondents Diogene: a longitudinal survey on Pisa ...

Amenities such as good food, attentive staff, and pleasant surroundings may play an important role in hospital demand. We use a marketing survey to measure amenities at hospitals in greater Los Angeles and analyze the choice behavior of Medicare pneumonia patients in this market. We find that the mean valuation of amenities is positive and substantial. From the patient perspective, hospital qua...

OBJECTIVES This report presents national estimates of access to medical care and unmet health care needs for children through 17 years of age by selected sociodemographic variables including sex, age, race and/or ethnicity, family income, family structure, place of residence, and health status. In addition, the impact of children's health insurance status on access to care is described. METHO...