AFFORDABILITY, INCOME ADEQUACY, AND SUBJECTIVE

ASSESSMENTS OF ECONOMIC WELL-BEING:

PRELIMINARY FINDINGS

by

Thesia Garner, Linda Stinson, and Stephanie Shipp

Speaker and Correspondence Addressed to:

Thesia Garner

Bureau of Labor Statistics, 2 Massachusetts Ave. NE, Wash, DC 20212

tel: (202)606-6579 extension 596

fax: (202)606-7080

email: Garner_T@BLS.GOV

Association for Consumer Research Conference

October 10-13, 1996

Tucson, Arizona

Please do not quote without authors’ permission.

Special Session 6.5, Salon K

Affordability Perceptions in Consumer Research

Chair: Arti Sahni Notani (University of San Diego)

Synthesizer: Kent Monroe (University of Illinois)

The authors would like to thank Sylvia Fisher, David Johnson, Brian Kojetin, Mary McCarthy, and

Clyde Tucker for comments and suggestions leading to improvements in this manuscript . Special

thanks are extended to Norman Bradburn, Lee Rainwater, and others for their discussion of an

earlier version of this paper that was presented at the 1996 Joint Statistical Meetings. Thanks are

also due to the University of Michigan Survey Research Center Team member, Darby Miller, to Bob

Groves for field data collection and suggestions, and to the Survey Design Seminar taught by Bob

Groves, Stanley Presser, and Mick Couper as part of the Joint Program in Survey Methodology at the

University of Maryland. The responsibility for errors remains with the authors. All views expressed

in this paper are those of the authors and do not reflect the views or policies of the Bureau of Labor

Statistics or the views of other BLS staff members.
AFFORDABILITY, INCOME ADEQUACY, AND SUBJECTIVE ASSESSMENTS

OF ECONOMIC WELL-BEING: PRELIMINARY FINDINGS

Thesia Garner, Linda Stinson, and Stephanie Shipp

I. Introduction

Affordability and income adequacy perceptions are subjective assessments of one’s

or one’s family’s economic well-being, and thus can be considered psychological

manifestations of some underlying economic variable. Both concepts deal with economic

means to purchase or achieve some goal, given a budget constraint and beliefs about one’s

budget constraint. Thus affordability and income adequacy can serve as links in economicsocio-psychology models of attitude-intention behavior (see van Raaij 1996) . While

affordability generally can be defined as the ability to purchase some commodity or to

achieve some particular level of living, income adequacy is likely to reflect one’s ability to

met some basic need or reflects some belief about some basic income or other resource

necessary to achieve a particular level of living. Whether someone thinks his/her

household’s income is adequate to meet basic needs, for example, is another way of saying

that the individual thinks the household can afford to meet these needs. Within the choice

set, the individual will make decisions about what the goal is, the quantity to purchase, and

the quality. Affordability and income adequacy are different from willingness to pay or to

buy; with willingness the issue is if the individual wants to make the purchase, for example,

not if he/she has the means or thinks he/she has.1 If the individual thinks he/she can afford

 

1

 O’Guinn and Wells (1989) study a related concept, subjective discretionary income (SDI). SDI is an

estimate by the consumer of how much money he or she has to spend on nonessentials. See Thomas

O’Guinn and William D. Wells. “Subjective Discretionary Income,” Marketing Research, March 1989,

pp. 32-41.
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some commodity or has adequate income to purchase some commodity, then we assume

that his/her economic well-being is higher than the economic well-being of someone who

cannot afford or does not have adequate income to make the purchase.

Subjective assessments of economic well-being and income, in particular, are not

new constructs of interest in social analysis. As early as 1881, economists recognized that

the utility or economic well-being gained from any given commodity was not always

independent of the consumption of other goods. For example, the value of butter may be

dependent upon one's ownership of bread. Likewise, the value of a right shoe may be

dependent upon one's ownership of the matching left shoe. Along the same vein, the value

of one's income may, in fact, be tempered by the amount of one's expenses or by the

particular configuration of commodities that one already owns. For example, a very small

income may be adequate if one already has a home that is paid-off or a garden in which to

grow food.

Clearly it would be difficult to plot the utility function depicting the value of each

individual’s income based upon their unique circumstances. An alternative approach would

be to ask respondents themselves to look inward and make a subjective assessment of the

contribution made by their income to the attainment and maintenance of their social roles.

Since most American adults are confronted daily with the delicate task of balancing their

income and expenses, it seems reasonable to expect them to have a rather well-developed

budgetary sense. Consequently, the task of evaluating that balance between income and

expenses in the pursuit of their personal goals should not be unfamiliar to them.
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The major survey problem when measuring subjective phenomena such as

affordability and income adequacy is the susceptibility to nonsampling error. Any change,

temporary or permanent, in or around the responding subject (mood, experience, weather)

may alter that subject’s perceptions, interpretations, and conclusions— if only for a

moment. Likewise, the context of the interview itself, the order in which questions are

presented, and even the characteristics of the interviewer may affect the respondent’s

subjective assessment. In such cases, it would be difficult, if not impossible, to determine

whether changes in subjective assessments represent true variation resulting from a change

within the subject or the intrusion of measurement error into the survey process. As a

result, the effective use of subjective questions must absolutely depend upon (1) clear,

precise, and unambiguous language, (2) non-arbitrary response categories, and (3) clearly

defined concepts. Only in this way can surveys overcome the vulnerability of subjective

questions to measurement error.

For the purposes of this study, we tested the clarity and precision of four subjective

questions: the minimum income question (MIQ), the minimum spend question (MSQ), the

income evaluation question (IEQ), and the delighted/terrible (D/T) question. The texts of

these questions are as follows:

Minimum Income Question (MIQ)

Living where you do now and meeting the expenses you

consider necessary, what would be the smallest income

(before any deductions) you and your family would need to

make ends meet?

Minimum Spend Question (MSQ)
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In your opinion, how much would you have to spend each

month in order to provide the basic necessities for your

family?

Income Evaluation Question (IEQ)

Which after-tax monthly income would you, in your

circumstances consider to be very bad?

bad? insufficient? sufficient? good? very good?

Delighted/Terrible Question (D/T)

Which of the following categories best describes how you feel

about your family income (or your own income if you are not

living with relatives)? Do you feel delighted, pleased, mostly

satisfied, mixed, mostly dissatisfied, unhappy, or terrible?

One of the key methodological issues is to understand better how respondents

interpret these questions. Use of qualitative research techniques, such as in-depth interviews

and focus groups provides insights into how respondents interpret such terms as ‘minimum

income,’ ‘necessities,’ and ‘living where you do now.’

The purpose of this paper is to describe the methodology and present preliminary

results from a U.S. government study focused on subjective assessments of economic wellbeing. The study was designed primarily to help us understand how individuals think as

they are asked questions related to affordability and income adequacy. Once we gain a

better understanding of questions like the ones posed, greater progress can be made to

combine subjective assessments and objective measures of economic well-being. This

information can be used to help us understand better the data that we already collect related

to income and expenditures and other “objective” measures of levels of living, assist in our

development of data collection instruments, and broaden our array of economic statistical

measures. We should also be able to test various consumption theories such as the life-
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cycle hypothesis and the relative income hypothesis, develop equivalence scales, measure

individual welfare functions, conduct tests of utility maximization in consumer behavior,

quantify habit formation and preference formation, and produce sufficiency thresholds (See

Appendix A for more information). In addition, with improved question wording and

survey questionnaires, policy makers should be in a better position to design and implement

improved maintenance and transfer programs for the more needy in our society.

The remainder of this paper is organized into five major sections: previous research

and U.S. Government involvement, study design, methodology, preliminary results, and

summary and conclusions. In the results section we present results from one of the focus

groups and ten cognitive interviews; the data were conducted in Miami, Florida during

May 1996. Additional data were collected in other geographic areas in the United States

during the summer and autumn; however, these data are not currently available for

presentation. The study was designed by staff within the Bureau of Labor Statistics (BLS),

with data collected by the BLS and the University of Michigan Institute for Survey

Research. Funding is provided by the BLS and Bureau of the Census.

II. Previous Research and U.S. Government Involvement

During the twenty years in which subjective questions have been used to assess the

economic well-being of individuals and households, relatively little research has been done

on the reliability or validity of these particular questions. However there are four notable

exceptions.
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First, the Delighted/Terrible (D/T) scale was developed and tested by Frank

Andrews and Stephen Withey2 in a series of quality of life surveys at the University of

Michigan Institute for Survey Research during the 1970s. Based upon their tests, Andrews

and Withey suggest that the D/T scale can account for 87 percent of the variance in

respondents’ feelings about their income.

Second, Kapteyn3 focused his research primarily on the use of the IEQ and the D/T

scale in measuring an individual’s welfare function of income (WFI), although response to

related subjective questions were also examined. With respect to the IEQ, Kapteyn found

that respondents preferred to answer in annual amounts. He suggested that respondents

who answer in monthly or weekly amounts “forget” certain of their income like once-ayear-fringe benefits. He suggested a finer (more points) scale for the D/T response

categories since less ties should improve the WFI model fit.

Third, Antonides and colleagues4 conducted a study to assess the reliability and

validity of ten methods for measuring individual welfare functions of income using income

evaluation questions. Data were collected from an experimental survey of approximately

400 households in the Netherlands in the Spring of 1979. Of the ten methods tested, they

recommended a combination of two methods, that is, they recommend that individuals be

asked numerical evaluations and corresponding income levels. Even this method raised

 

2

 F. M. Andrews and S. B. Withey. Social Indicators of Well-Being. New York: Plenum Press, 1976, p.

343.

3

 Arie Kapteyn, “Statistical Analysis of Response to Charlottesville Hothouse, Treatment A Attitudinal

Module, June 6-7, 1979.” Unpublished manuscript.

4

 G. Antonides, A. Kapteyn, and T. Wansbeek, Reliability and Validity Assessment of Ten Methods for the

Measurement of Individual Welfare Functions of Income, unpublished manuscript, Center for Economic

Research, Tilburg, the Netherlands, 1986.
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concerns however, because they thought that the numerical evaluations might tempt

respondents to provide income levels proportional to the numerical values which would

tend to produce linear individual welfare functions. They recommended further testing of

this method.

The fourth study was conducted under the direction of Morissette and Poulin5 of

Statistics Canada. Respondents were surveyed in supplements to the 1983, 1986, 1987, and

1988 Survey of Consumer Finances to evaluate alternative low income measurement

methods. Interviewees were asked both the minimum income and spend questions and an

income evaluation question. Split samples were used to test question wording. The major

findings concerning the minimum income types of questions include: (1) small differences

in response resulted with increases in family size; (2) when the same question wording was

used over time, no notable changes in the minimum income required resulted; and (3)

question wording on required income affected both the minimum income and, to a lesser

degree, the equivalence scale; the researchers round a 32 percent difference in the levels

produced from the income questions versus from the questions (using the 1988 split panel

data), with the spend question producing lower responses.

Although not specifically designed to examine the impact of changes in survey

methodology, other studies have been conducted using data from the MIQ and IEQ, and

related questions which provide us with insight concerning subjective assessments. For

 

5

 R. Morissette and S. Poulin, Income Satisfaction Supplement: Summary of Four Survey Years,

Statistics Canada, 1991.
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example, Saunders and Matheson,6 using Australian data, note that “perceptions of an

adequate income for oneself are shaped by cultural identities and their concomitant

reference groups in ways which go far beyond the effects of immediate material and

personal circumstances.” Garner and de Vos,7 using data from the U.S. and the

Netherlands, found that question wording, design of the survey, and data collection

instruments are likely to contribute to variations in response. Based on econometric

analysis, they found that differences for the two countries was likely related to what

respondents consider necessary, and to their general interpretation of the MIQ.

During this same time period, the U.S. government moved forward and included

subjective assessments of health status and health-related work limitations in federally

sponsored surveys. The move to include subjective measures of the impact of income and

financial resources in U.S. government sponsored surveys, however, was not as readily

endorsed.8 The first foray of subjective assessments of income into U.S. government

surveys came when both the MIQ and the D/T question were included in the Bureau of the

Census’ 1979 Research Panel of the Income Survey Development (ISDP) Program.9 The

 

6

 Peter Saunders and George Matheson, Perceptions of Poverty, Income Adequacy and Living Standards

in Australia. Social Policy Research Centre Reports and Proceedings, No. 99, The University of New South

Wales, April 1992.

7

 Thesia I. Garner and Klaas de Vos, "Income Sufficiency vs. Poverty: Results from the United States and

the Netherlands," Journal of Population Economics, vol. 8, 1995 pp. 117-134. Also see: Klaas de Vos

and Thesia I. Garner, “"An Evaluation of Subjective Poverty Definitions: Comparing Results from the U.S.

and the Netherlands," Review of Income and Wealth, Series 37, Number 3, September, 1991.

8 The result being that research into these questions has lagged behind that of the health-related questions.

Yet researchers here in the U.S. and in other countries (mostly in Europe, Canada, and Australia) continued

to use the subjective economic well-being questions to provide information on the situation of individuals

and households. See Appendix B for selected references from the literature.

9

 For a review of the “history” of self-assessments in potential federal household surveys, see Denton R.

Vaughan, “Self-Assessments of Income Needs and Financial Circumstances: Two Decades of Seeking a

Place in Federal Households Surveys,” paper presented at the Joint Statistical Meetings, Sections on
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MIQ was also added to the 1982 Consumer Expenditure (CE) Interview Survey10 based

upon the recommendation of the Expert Committee for the Bureau of Labor Statistics’

(BLS) Family Budget Revisions.11 This committee suggested that in terms of measuring

family budgets, there is “a general consensus about how much it takes for an ordinary family

to ‘get along’—perhaps not an exact figure, but rather a range or ‘band’ of total

expenditure levels that contains what most people would agree is the ‘get along’ amount”

(p. 8). Consequently, the committee recommended a major effort to evaluate and perfect a

survey methodology that would permit a paradigm shift away from the notion that official

experts can (and should) define what the populace needs in order to get along or prosper.

The new measurement task would be directed instead toward finding stable, reproducible

estimates of what ordinary people experience with their family budgets (p. 9). The

committee, therefore, envisioned supplementing the absolute standards embodied in detailed

lists of commodities with more relative standards based on the reported subjective

experience of respondents.

Implementation of the committee recommendations was initiated by proposing the

only existing subjective assessments of income available: the MIQ, IEQ, and D/T question.

However, when the survey package of questions was sent to the Office of Management and

Budget (OMB) for approval, the MIQ question alone was accepted for inclusion in the CE

 

Government Statistics, Social Statistics, and Survey Research Methodology, Chicago, Illinois, August 5,

1996.

10 See deVos and Garner (1991) and Garner and deVos (1995) for analyses of these data.

11 Harold W. Watts. “Special Panel Suggests Changes in BLS Family Budget Program,” Monthly Labor

Review, December 1980, pp. 3-10.
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and only within the last interview. Eventually, even this one question was dropped when

the plan to revise the Family Budget program was discontinued.

Again in 1991, a formal proposal from an inter-agency team was presented to OMB

to include the existing subjective assessment questions in the Survey of Income and

Program Participation (SIPP), a Bureau of the Census survey. After consultation with

BLS, the Bureau of the Census, and the Office of Senator Daniel Moynihan, OMB

recommended “laboratory and field testing” prior to the inclusion of such questions in the

SIPP. In the OMB memorandum, cited was research from the BLS,12 one of the few U.S.

statistical agencies that had direct experience with a MIQ. In this memorandum, the OMB

reiterated its policy to support such survey development and testing in the statistical

agencies. The use of subjective measures was endorsed in the Committee on National

Statistics report Measuring Poverty, A New Approach (1995).

In the autumn of 1994, a preliminary proposal was prepared within the BLS to

explore the possibility of cognitive testing of subjective questions. By the spring of 1995,

specific plans were detailed for a first round of cognitive tests. In the Spring of 1996, BLS

management determined that this first stage of cognitive testing might proceed, with the

understanding, that upon completion, there would be a review of the results and decisions

made concerning further implementation. The format of the test and the questions to be

asked were developed and pre-tested in the BLS cognitive lab. This pre-test helped to

refine the protocols and improve the flow of the one-on-one interviews. Staff from the BLS

 

12 De Vos and Garner (1991) and Garner and de Vos (1995).
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and the Michigan Survey Research Center, under contract with BLS, collected the data

from five areas in the U.S.

Also during the autumn of 1994, the Bureau of the Census reconvened the SIPP

Interagency Working Group to discuss possible topics for inclusion in the 9th wave

interview of the 1993 SIPP panel (scheduled for fielding in the period October 1995

through January 1996).13 OMB agreed that the SIPP would be used to collect data for the

proposed wave using the D/T question, the MIQ, and the MSQ. These data were collected

by the Bureau of the Census.

In an effort to coordinate activities and to meet the OMB request, the BLS and

Census Bureau jointly funded the cognitive testing, as noted earlier. All of the cognitive

work was conducted or coordinated by the BLS. Once the SIPP field data are available

(probably in late spring 1997), BLS will work with the Census Bureau in analyzing those

data. Then results from the two parts of the project will be combined to provide an overall

assessment of the subjective questions under examination.

III. Study Design

Our study was designed to address four main research questions:

1. How do respondents interpret such terms as “minimum income,” “sufficient income,”

“necessary expenses, “ and “monthly household income?” Since these terms are not

defined for respondents, the range of possible interpretations needed to be determined.

2. Are there potential order effects when asking respondents to make subjective

assessments? For example, when respondents are asked to assess satisfaction with their

income, are their ratings affected by questions immediately preceding those asked about

 

13 See Robert Kominski and Kathleen Short, “Developing Extended Measures of Well-Being: Minimum

Income,” paper presented at the Joint Statistical Meetings, ,” Sections on Government Statistics, Social

Statistics, and Survey Research Methodology, Chicago, Illinois, August 5, 1996.
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their expenditures? The possibility exists that consideration of one’s expenses may

create a comparison that may temporarily raise or lower one’s evaluation of income.

3. How do respondents use response categories such as “good/bad,”

“sufficient/insufficient,” and “delighted/terrible?” Are these the appropriate terms for

assessing people’s attitudes and emotions about their income? What metric should be

used for the scale range?

4. How easy or difficult is it for respondents to make subjective assessments of their

income? How accurately do respondents review their economic situation when making

subjective assessments?

To address these four main research questions, a two-prong strategy of qualitative

testing consisting of cognitive interviews and focus groups was used. The successful

application of such qualitative methodologies requires that as many differing viewpoints as

possible be gathered, so that a full range of ideas and opinions may be observed. In order to

extend the breadth of views expressed, our study is designed to include three types of family

composition, three levels of income, and five sites spread across the United States. The

result is a three-by-three design matrix (based on household type and income group) with a

total of nine cells; not all sites are represented by each cell in the matrix. At least five (5)

interviews and one (1) focus group was conducted in each cell.

Based on our own evaluations and earlier work,14 we expected that spending

patterns impinge upon one’s attitude toward income, so we decided it was necessary to

include a range of household types reflecting diverse expenditure patterns. We screened

participants and categorized their household types as:

1. single adults with no children under 18 years-of-age in the home,

2. adults (either single or sharing expenses with another adult) with children under 18

years-of-age in the home,

 

14 Garner and de Vos (1995).
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3. adults sharing expenses, but with no children under 18 years-of-age in the home.

We defined the levels of income as either (1) low, (2) medium, or (3) high. These

are determined separately for each geographic area in which testing is conducted. Using

July to December 1994 Income Percentile Data from the Current Population Survey

(CPS),15 staff from the BLS16 adjusted these estimates to the March 1996 level using the

CPI-U for all items.17 These estimates represent taxable household income in the

appropriate metropolitan statistical areas and do not include the cash value of food stamps.

The income ranges for each area are divided into thirds for each of the three household

types (see Appendix C for the exact income ranges used).

The five sites were selected to provided national coverage, as well as some

urban/rural differentiation. The sites were Miami, Los Angeles, Detroit, Baltimore, and

West Virginia. In this paper, we only present the results from ten interviews and one focus

group from one site: Miami, Florida. The Miami focus group and cognitive interviews

were conducted by a research psychologist from the Bureau of Labor Statistics during the

month of May 1996. Data for the other eight cells were collected during the summer and

autumn, but were not available for presentation at this time.

 

15 Special thanks are extended to Kathleen Short of the Census Bureau for producing these ranges. Earlier

ranges were produced by Bill Passero using CEX data but we decided later to use the CPS data for selecting

our subsamples.

16 Thanks to Wolf Weber for this conversion.

17 No CPI-U data were available for the Detroit/Ann Arbor area for March 1996. The alternative for

updating the income ranges was thus to average the CPI-Us for February 1996 and April 1996 to make the

adjustment.
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IV. Methodology

Our choice of two qualitative methodologies, focus groups and cognitive interviews,

reflected our lack of even the most basic information concerning the ways that respondents

would react to these types of questions, scales, and concepts. We had no prior hypotheses

driving our data collection. Instead, we were attempting to (a) simply observe the

procedures and strategies respondents use when making subjective assessments, (b) hear the

language they use when discussing these topics, and, ultimately, ( c) see these issues from

the respondents’ perspective by encouraging and assisting them in articulating their own

unique perspectives on the world.

A. Focus Groups

In our focus groups, respondents were asked to discuss the concepts of “minimum

income” among themselves. Specifically, we asked them:

• What amount of income would they need to “make ends meet” and how did they

decide upon this amount?

• What expenses would be covered by “enough money to make ends meet?”

What would this amount of money purchase?

• What things in their lives determine the amount of income a family needs “to

make ends meet?”

In addition, participants were asked to evaluate different “levels” of income. For

instance, they were asked to describe the differences between “good” and “bad” amounts of

income. A similar discussion was raised for the distinctions between “sufficient” and

“insufficient” incomes. Participants were asked to consider what elements or events might

cause the dividing points between “good and bad” or between “sufficient and insufficient”
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incomes to fluctuate. Finally, participants were presented with the “delighted/terrible” scale

and probed for their reaction to, as well as their understanding and use of its response

categories.

B. Cognitive Interviews

For this study, several tasks were drawn from the repertoire of cognitive laboratory

techniques. The interviews begin with a concurrent think-aloud task, through which the

participants were able to describe their thoughts while answering either the MIQ and an

alternative “minimum spend” question. Participants were first “taught” to create an answer

out loud by having the procedures explained and demonstrated. They were then requested

to talk through all the issues and problems they had as they arrived at their answer to the

question. As the answers emerge, the interviewer followed up with probing questions to

gain additional details and understanding. Participants were asked to rate their confidence

in the answer they provided and to paraphrase some of the concepts in their own words.

Such strategies are generally used to identify difficulties in understanding question wording

or concepts, recall strategies, and the participants’ reactions to the question.18

A second technique used was an “income sorting” task directed toward assessing

the ways that participants evaluate income. Two versions of the task were used for each

participant. In each case, cards were arranged in front of the participant that were labeled

either “Very good,” “Good,” “Bad,” “Very Bad” or “Sufficient,” “Insufficient.”

Participants were then handed a stack of cards with dollar amounts written on them, ranging

from $250 to $6,000 in $250 increments. Participants were instructed to think about all the

 

18 DeMaio and Rothgeb, 1996, p. 179.
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members of their household and their expenses and then to evaluate each dollar amount as

monthly take-home pay. The evaluations were made by placing each dollar amount into an

appropriate category. After all the cards had been sorted and the difficult gray areas

between categories recognized, the interviewers probed the decisions. Participants were

asked to discuss how they decided to categorize the dollar amounts, what the income

amounts categorized together had in common, and what their lives would look like with the

varying categories of income.

A third task was a series of short answer questions using the “delighted/terrible”

scale. “Satisfaction” assessments ran the risk of being affected by preceding questions that

make specific information salient, thereby creating temporary standards of comparisons,

affecting judgments, and causing later responses to be higher or lower by comparison. So

in order to test for this possibility, a series of questions was asked for which participants

were to use the “delighted/terrible” scale to identify how they felt about expenses such as

the cost of feeding their families, eating out in restaurants, buying clothes, health care,

transportation, school tuition, and housing. Half of the participants were asked to assess

their family incomes prior to expenditure assessments; half of the participants were asked to

evaluate their family incomes after the evaluation of expenses. Participants were also asked

to discuss the “delighted/terrible” scale and to describe the meaning of the various

categories.

In closing, the interview participants answered a series of short debriefing questions.

These questions probed their reactions to the interview itself, what they liked best and least

during the interview, what was easiest and most difficult, and their ideas for other questions
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that we could ask to more fully understand their subjective experience of the yin and yang

of income and expenses.

V. Preliminary Findings

The results presented in this section are from one of the nine cells being tested. As

noted earlier, data for this one cell are based on ten interviews and one focus group

conducted in Miami. The findings to date are categorized primarily into three main issues:

ambiguity in the language, complexity in the questions, and “new” language. Each are

addressed below, including examples.

A. Ambiguity in the Questions

1. Minimum Income Question (MIQ) and Minimum Spend Question (MSQ).

Half of the respondents were asked the MIQ and the other half were asked the MSQ. To

date, there do not appear to be any distinguishable differences, but the results show that

both questions are plagued by the same problems.

At the beginning of each cognitive interview, respondents were presented with a

“think aloud” task. They were asked to create an answer (out loud) to the MIQ and MSQ.

Focus group participants were asked a similar question.

As respondents began to generate their answers, it became apparent at once that

these are extremely difficult questions. In order to answer the question, it was necessary for

respondents to generate a complete list of their monthly expenses and estimate a dollar

amount for each expense. In many cases, respondents stopped generating items and

declared their list of expenses “complete,” only to revise their list in response to specific
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probes from the interviewer or as additional items surfaced throughout the course of the

interview. Additionally, dollar estimates generated prior to the itemized list of expenses

greatly underestimated the amount of money needed to cover those expenses.

Among the focus group participants, there seemed to be two distinct interpretations

of the MIQ. On the one hand, about half of the participants were indicating that the

question was asking for the bare minimum with which to survive-- “with no gravy,” as one

participant said. These participants interpret the phrase “to make ends meet” as meeting the

most basic needs, such as “food on the table and shelter in which to live.” This group,

when pressed for a second dollar estimate of the “absolute” minimum amount their family

would need to make ends meet each month provided a dollar amount that fell within the

range of their original estimate of necessary income. In other words, “making ends meet”

was seen as equivalent to the “absolute minimum income.”

A second large group of participants seemed to be interpreting the question

differently. For these participants, the amount of income needed to “make ends meet”

included some “gravy.” This was seen most clearly when they provided a lower dollar

estimate for the “absolute” minimum amount needed. When pressed to describe how they

arrived at an estimate of what it would take “to make ends meet,” one participant

responded, “I just calculate what I would need not to have to worry about expenses at all.”

This point of view seems to interpret “making ends meet” as starting with the current level

of expenses, including some expenses that might be jettisoned if income dipped to the

“absolute minimum” amount. As another participant with this perspective explained, “I add

up all my expenses...and estimate what we might need for things like entertainment or
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emergencies.” For participants with this second interpretation, “absolute minimum” income

needed to make ends meet would whittle away the “gravy” and include “just the house bills,

but not really any money for leisure” In other words, it is “just what you need” with no

thought of “putting anything aside.”

Most of the focus group participants seemed to feel that it was relatively easy to

answer this type of question because their needs are “pretty stable month-to-month.” One

may speculate, therefore, that if the question did not include the vague, ambiguous phrase

“to make ends meet,” but rather clearly defined the parameters of the judgment, then

respondents might be able to provide a valid and consistent estimate. The challenge will be

to convey to respondents the request for “minimum survival,” while still allowing them the

latitude to define what minimum survival would look like (and cost) for them.

As part of the MIQ and the MSQ, respondents were asked to consider “necessary

expenses.” When respondents were asked to list these expenses and explain why they

considered certain items to be necessities, there was general consensus about the reasons--

they are required for existence; they are essential for survival; without them you can’t

live.

However, there was less consensus about what is actually required for existence.

Almost every respondent recognized two basics without which one could not survive: food

and shelter. But beyond those two items, there was less agreement.

Focus group participants were also led through a two-step exercise of itemizing

monthly expenses. First they were asked to identify those expenses that could be included

as necessary for “making ends meet.” They were then asked to go beyond that step and
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single-out only those expenses that they would deem “absolutely necessary.” While there

was always some diversity within groups, there was remarkable consistency across groups.

A composite of the lists of monthly expenses follows:

Monthly Expenses Necessary Monthly Expenses

1. Rent 1. Rent

2. Food 2. Food

3. Clothing 3. Clothing

4. Health Insurance 4. Health Insurance

5. Transportation 5. Transportation

6. Utilities 6. Utilities

7. Household sundries 7. Household sundries

8. Credit card payments 8. Credit card payments

9. School expenses (where applicable) 9. School expenses (no consensus)

10. Garbage 10. Garbage (no consensus)

11. Grooming expenses (no consensus) 11. Grooming expenses (no consensus)

12. Pets 12. Pets (no consensus)

13. Telephone

14. Laundry

15. Automobile/insurance/maintenance

16. Cable (no consensus)

As seen here, the two lists are remarkably similar. While a few items are dropped

from the second list, many respondents suggested that adjustments would probably be made

by changing the quantity or quality of items, rather than omitting a category completely.

For instance, those who included hair care expenses as necessary suggested that they could,

if required, reduce the number of trips per month rather than omit this expense altogether.

Likewise, clothing could be purchased from thrift shops or more careful use could be made

of one’s current wardrobe. Rather than go hungry, participants suggested that they would

be likely to purchase cheaper food, buy bulk items, carry their lunches, and limit their meals

eaten in restaurants. Other adjustments included the use of generic household products and

finding additional persons with whom to share rent. The lists generated from the cognitive

interviews were almost identical to the focus group list. However, it is important to note
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that no single interview respondent generated the entire list. One may conclude, therefore,

that respondents will need cues in order to make an accurate estimate of their necessary

expenses. And if this is the case, this composite list may supply a good starting point for

these cues.

In some cases, a distinction was also made between “needs” and “expenses.” For

some participants, one’s “needs” pertained strictly to things necessary for survival.

“Expenses” were thought to include both the basic requirements for survival and the various

other things that one might see and desire to enhance the quality of life. Respondents also

distinguished between contractual obligations, such as credit card bills, and necessary

expenses. However, once the credit card purchase is incurred, the respondents tended to

view the expense (or at least payment of the bill) as a necessary one.

In order to understand the ways respondents interpreted the questions and to test

out possible new wording, a series of probes were used to ask respondents to distinguish

(1) the SMALLEST income, (2) the MINIMUM income, and (3) the ABSOLUTE

MINIMUM INCOME needed to make ends meet. The amount of diversity here was

almost staggering. The interpretations include:

• “Smallest” income is equal to “minimum” income.

• “Smallest” income is greater than “minimum” income.

• “Smallest” income is less than “minimum” income.

• “Absolute minimum” income is equal to “minimum” income.

• “Absolute minimum” income is less than “minimum” income.

One component of the MIQ and the MSQ is the phrase “living where you do

now....” Respondents were asked to tell us in their own words what that phrase is asking

them to consider. Once again, there was no consensus. The range of interpretations
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included my life circumstance or stage, my place in life; my house, apartment; my

neighborhood; or my city.

One final difficulty that emerged is the interpretation of the word “you.” One

respondent asked the interviewer whether this question refers to the amount he personally

spends or to the amount his family spends. Clearly, “you” is one of the great ambiguities in

English, meaning both second person singular and plural. In order to have all respondents

answering the same question, it would be absolutely necessary to clarify which of the two is

being asked.

2. The “Delighted/Terrible” Scale. 

In general, focus group participants and interview respondents seemed to like the

use of emotional words in the “delighted/terrible” scale. However, when pushed to define

or differentiate the terms, there was little consistency in the answers. Examples of the

distinctions that were made between terms are as follows:

“Pleased” would be like “I’m making it.” “Delighted” would be like “Wow! I got a bonus!”

• “Pleased” is like “good.” “Mostly satisfied” is like “sufficient.”

• “Mostly dissatisfied” is like “OK,” but “unhappy” means this job just isn’t

working out to give you enough money.

• “Terrible” is completely hopeless.

Another problem is that the full scale of descriptors was not used. For example,

some respondents viewed mostly satisfied, mixed and mostly dissatisfied as one group. In

addition, no one reported being delighted with their income or having terrible income. For

the most part, respondents appeared to have collapsed the scale into three categories;

pleased, mixed, and unhappy.
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3. Income Evaluation Questions

The question asks for judgments along two separate dimensions: “good/bad” versus

“sufficient/insufficient.” For some participants, these dimensions were asking for extremely

different judgments. On the one hand, some participants interpreted the

“sufficient/insufficient” assessment as a judgment about what is absolutely necessary for

survival. On the other hand, the “very good/very bad” dimension was seen as a judgment

about the “quality” of life. In some cases there was minimal overlap, between “very bad”

and “insufficient,” in the sense that income may be defined as “very bad” precisely because

it is “insufficient.” However, this comparison did not hold for the assessment that income is

“sufficient” because of the conceptual dualism between bad income that is, nevertheless,

“sufficient for survival” versus good income that is “sufficient for some quality of life.”

B. Complexity of the Questions

1. Minimum Income Question (MIQ) and Minimum Spend Question (MSQ).

There is a clear indication that the MIQ and MSQ are complex questions to answer.

They ask respondents to make at least four judgments, for example:

• Does the question want me to include only the minimum expenses necessary

for survival or is it asking for me to begin with my current expense level?

• What expenses are necessary for me to survive?

• How much money would I need in a month to cover each particular expense?

• What is the total for all of these expenses added together?

The respondent must differentiate between the current level of expenditures and the

minimum needed for survival. If the “minimum expenses necessary for survival” is the

preferred piece of information, the follow-up estimate of the dollar amount is somewhat a

matter of factual tabulation once the respondent has decided upon which elements to
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include. More work needs to be done to better cue respondents and to help them answer

these questions.

3. Income Evaluation Question (IEQ).

During the course of the focus group, participants were presented with a written

version of the IEQ and were asked to discuss their responses. Many people reported having

difficulty with this question for the following reasons:

• The task is cognitively complex. It requires that the respondent think about

expenses in many different ways. One strategy reported is to begin with a “very

good” amount and then whittle away amounts to fit the appropriate categories.

• It was difficult for some participants to conceptualize what would actually be

sufficient for survival. As one respondent reported, since she had never

experienced such dire straits, it was extremely “hard to decide what I need just

to survive...or even less than that.”

When asked to supply descriptions of what the categories “very good to very bad”

and “sufficient/insufficient” might mean when applied to income, the following ideas were

generated. For example, one respondent described “Very Good” income “It is enough to be

as comfortable as possible” from “Good” income which “It is an income that is “good”

for right now, the present circumstances.” Likewise, the conceptual distinctions between

“Very Bad” income and “Bad” income: “It means you can’t pay for rent and would have to

live in a shelter.” versus “It means there may still be hope down the road that things may

be better.” Finally, the distinctions between “sufficient” and “insufficient” income: “It

means having a little left over after you pay your monthly expenses.” versus “It is when

you can’t pay your bills and you start using your credit card to pay things off.”
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When asked which comparison they preferred, the “very good” to “very bad”

judgment or the “sufficient” versus “insufficient” comparison, there was no consensus.

However, there was some indication that which ever task was presented second was judged

to be easier, suggesting a learning curve. When probed for the reasons they preferred one

or the other scale, the following types of responses were given: “very good/very bad is

easier because it is easier to identify an amount where I wouldn’t have to worry about

paying bills;” or “sufficient/insufficient is easier because you didn’t have to think about as

many things and make as many judgments.”

In order to further understand the fundamental inconsistency of the response, each

individual in the focus group was asked to provide a written response to the MIQ, an

“absolute minimum amount of income needed” and the IEQ. In several instances,

respondents were totally unable to generate dollar amounts. A second item of interest is the

reliance upon whole numbers. In most cases, the estimates are increments of $1,000; in a

few cases, the dollar amounts varied in increments of $100 or tens of dollars. From this,

one gathers the impression that these are only very gross estimates. Some respondents

placed the "absolute minimum" amount within the range of "income needed to make ends

meet" and others cited an "absolute minimum" amount that is lower than the range of

income thought to be necessary to make ends meet.

C. “New” Language

Without prompting, respondents repeatedly referred to stress, anxiety, and worry,

when talking about “bad” or “insufficient” income. With good income or spending, they

spoke of “freedom,” “security,” “not having to worry,” “being more relaxed.” These words
\

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came only from the participants--interviewers did not prompt them in any way. Perhaps this

is a fruitful avenue for designing future subjective assessment questions. For example, we

might consider these types of questions: “How often, if ever, do you worry about paying

your bills on time?” “To what extent, if at all, do outstanding bills/expenses cause you

concern?” “How much more money would you need each month to be free from worry

about your bills?”
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VII. Conclusions and Final Comments

As analysis of the cognitive interview and focus group data continues, we will look

for consistency in our results across the five geographic areas as well as across income

groups and family types. What have we learned from this initial testing?

• It is difficult for respondents to itemize all their expenses, especially on the

spur of the moment. Providing the respondent with cues and lists should

improve consistency in answers.

• Respondents experience difficulty in computing the income they would

“need before deductions,” they know their take-home or after-deduction

pay.

• When asking the IEQ , there is no consensus about the meaning of the

various response categories provided by the interviewer.

• Respondents are asked to perform several tasks: (1) define the terms, (2)

apply these definitions to their own lives, and (3) generate monthly estimates

to convey this application. It seems that the heart of the subjective

assessment is actually found in part two, the application of the categories to

their unique situations. It might be feasible to supply respondents with

consistent definitions so that all respondents would, in essence, be answering

the same question or performing the same task.

• It may be difficult to achieve consistent answers from the D/T questions as

the scale is difficult for respondents. They cope with this scale by dividing

the scale into three broad groups.

In the short term, we will assess the testing described above. In the long term, we

would like to incorporate what we have learned into designing better questions and then

conduct additional cognitive tests. Finally, assuming we are satisfied with the results of the

cognitive testing, field testing would be required to determine reliability.
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APPENDIX A: USES OF SUBJECTIVE MEASURES

Subjective measures can be used to further explore the relationship between

expenditures and income and why in the lower income groups, mean expenditures often

exceed income (as published in BLS tabulations). Probably the two most frequent uses of

the questions are for producing subjective poverty or sufficiency thresholds, and to estimate

an individual’s welfare function of income. Examples of the a subjective poverty line and

individual welfare function are presented in Charts A1 and A2.

Subjective measures, as examined in this study, can also be used to produce

equivalence scales. Equivalence scales are used to compare the income and expenditures

for households or families of different sizes and with different needs. Equivalence scales

represent the relative costs of living of households of different sizes and compositions that

are otherwise similar. Thus differences in need for adults and children are accounted for as

are economies of scale in the household. For example, if a family of two adults and one

child can live as well as a single adult while spending only 50 percent more, then relative to

the reference household with one adult, the equivalence scale value for a two-adult family

with the one child is 1.5. The scale value is often defined as family size to some power (Se);

the power value is also referred to as the elasticity of need. In the following table are some

examples of ways to derive equivalence scale values. The first was suggested by Buhmann

et al.19 , the second by the OECD,20 and the third by the National Academy of Sciences

Poverty Panel:21

 

19 Brigitte Buhmann, Lee Rainwater, Guenther Schmaus, and Timothy Smeeding. “Equivalence Scales,

Well-Being, Inequality, and Poverty: Sensitivity Estimates Across Ten Countries Using the Luxembourg

Income Study (LIS) Database. The Review of Income and Wealth 34(2), 1988, pp. 115-142.
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= (A+K)0.5 (1)

Scale Value = [1.0 + .0.7(A-1) + 0.5K]1.0 (2)

 = (A + 0.7K)0.65 to 0.75 (3)

Alternative equivalence scales and their corresponding elasticities are presented in Table

A1.

SELECTED REFERENCES ON EQUIVALENCE SCALES

Blundell, Richard and Arthur Lewbel (1991). “The Information Content of Equivalence

Scales.” Journal of Econometrics, 50.

Buhmann, Brigitte, Lee Rainwater, Guenther Schmaus, and Timothy M. Smeeding (1988).

“Equivalence Scales, Well-Being, Inequality, and Poverty: Sensitivity Estimates Across

Ten Countries Using the Luxembourg Income Study (LIS) Database.” The Review of

Income and Wealth, 34(2).

Citro, Constance F. and Robert T. Michael, eds. (1995). Measuring Poverty: A New

Approach. Washington, D. C.: National Academy Press.

Coulter, Fiona A., Frank A. Cowell, and Stephen P. Jenkins (1992). “Equivalence Scale

Relativities and the Extent of Inequality and Poverty.” Economic Journal, 102.

__________ (1992). “Differences in Needs and Assessment of Income Distributions.”

Bulletin of Economic Research, 44(2).

Deaton, Angus and John Mullbauer (1980). Economics and Consumer Behavior.

Cambridge: Cambridge University Press.

Eurostat (1990). “Inequality and Poverty in Europe (1980-85).” Rapid Reports.

Population and Social Conditions, No. 7.

Garner, Thesia I. (forthcoming 1996). Changing Welfare in a Changing World?: Income

and Expenditure Inequality in the Czech and Slovak Republics. Chapter in book, The

Distribution of Welfare and Household Production: International Perspectives (Aldi

 

20 Organization for Economic Cooperation and Development. The OECD List of Social Indicators. Paris:

Organization for Economic Cooperation and Development, 1982.

21 Constance F. Citro and Robert T. Michael (eds.). Measuring Poverty: A New Approach. Washington,

D.C.: National Academy Press, 1995.
\

\acr\miqoct8.doc 30

Hagenaars memorial volume), edited by Stephen P. Jenkins, Arie Kapteyn, and Bernard

van Praag. Cambridge: Cambridge University Press:

__________ and Klaas de Vos (1994). “Income Sufficiency, Expenditures and Subjective

Poverty: Results from the United States and the Netherlands.” In Models and

Measurement of Welfare and Inequality, edited by Wolfgang Eichhorn. Berlin: SpringerVerlag.

Hagenaars, A.J.M. (1986). The Perception of Poverty. Amsterdam: North-Holland Press.

Jenkins, Stephen P. (1991). “Poverty Measurement and the Within-Household Distribution:

Agenda for Action.” Journal of Social Policy, 20(4).

Johnson, David S. and Thesia I. Garner (1993). Estimating Unique Equivalence Scales.

BLS Working Paper 239. Washington, D. C.: Bureau of Labor Statistics.

_______________________________ (1995). “Unique Equivalence Scales: Estimation

and Implications for Distributional Analysis,” Journal of Income Distribution, 4(2), pp.

215-234.

Jorgenson, Dale and Daniel Slesnik (1987). “Aggregate Consumer Behavior and

Household Equivalence Scales.” Journal of Business and Economic Statistics, 5(2)

Lazear, Edward P. and Robert T. Michael (1988). Allocation of Income within the

Household. Chicago: The University of Chicago Press.

Lino, Mark and David S. Johnson (1995). “Housing, Transportation, and Miscellaneous

Expenditures on Children: A Comparison of Methodologies.” Family Economic Review,

8(1).

Merz, Joachim, Thesia I. Garner, Timothy M. Smeeding, Jurgen Faik, and David Johnson

(1993). Two Scales, One Methodology - Expenditure Based Equivalence Scales for the

United States and Germany. Syracuse, NY: Syracuse University, All-University

Gerontology Center, Public Policy Series.

Nelson, Julie (1993). “Household Equivalence Scales: Theory versus Policy?” Journal of

Labor Economics, 11(3).

OECD (1982). The OECD List of Social Indicators. Paris: OECD.

Panek, Tomasz and Adam Szulc (1991). Income Distribution and Poverty: Theory and A

Case Study of Poland in the Eighties. Warsaw: Research Centre for Statistical and

Economic Analysis of the Central Statistical Office and the Polish Academy of Sciences.
\

\acr\miqoct8.doc 31

Phipps, Shelley and Thesia I. Garner (1994). “Are Equivalence Scales the Same for the

United States and Canada?” The Review of Income and Wealth, 40(1).

__________(1993). “Measuring Poverty Among Canadian Households: Sensitivity to

Measure and Scale.” The Journal of Human Resources. 28(1).

Podgorski, Jaroslaw (1994). “Poverty in Poland According to the Leyden Poverty Line.”

Statistics in Transition, 1(5).

Poulin, Susan (1988). An Application of Analytic Techniques to Canadian Income

Satisfaction Data. Staff report. Labor and Household Surveys Analysis Division, Statistics

Canada, Ottawa.

Rainwater, Lee (1990). Poverty and Equivalence as Social Constructions. Luxembourg

Income Study, Working Paper No. 55. Harvard University.

Renwick, Trudi J. (1993). Budget-Based Poverty Thresholds and Equivalence Scales.

Paper prepared for the American Statistical Association winter meeting, Fort Lauderdale,

Fla. Skidmore College.

Ruggles, Patricia (1990). Drawing the Line: Alternative Poverty Measures and Their

Implications for Public Policy. Washington, D. C.: Urban University Press.

van der Gaag, Jacques and Eugene Smolensky (1982). “True Household Equivalence

Scales and Characteristics of the Poor in the United States.” The Review of Income and

Wealth, 28(1).

van Praag, Bernard M.S., Robert J. Flik, and Pieter J. A. Stam (1993). Poverty Line

Concepts: An Application to Former Czechoslovakia. Unpublished manuscript,

Amsterdam.

Vaughan, Denton R. (1985). Using Subjective Assessments of Income to Estimate Family

Equivalence Scales: A Report on Work in Progress. In Survey of Income and Program

Participation and Related Longitudinal Surveys: 1984. Washington, D. C.: Bureau of the

Census, U.S. Department of Commerce.

Wolfson, M.C. and J.M. Evans (1989). Statistics Canada’s Low Income Cut-Offs:

Methodological Concerns and Possibilities. Analytical Studies Branch Research Paper

Series. Ottawa: Statistics Canada
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APPENDIX B: SELECTED LITERATURE ON

 SUBJECTIVE MEASURES OF WELL-BEING

Citro, Constance and Robert T. Michael, Measuring Poverty, A New Approach, National

Academy Press, 1995, pp. 134-140.

Colasanto, D., Kapteyn, A. and van der Gaag, J., “Two Subjective Definitions of Poverty:

Results from the Wisconsin Basic Needs Study, Journal of Human Resources, vol. 19.

1984, pp. 127-137.

Danziger, S., van der Gaag, J., Taussig, M.K., and Smolensky, E., “The Direct

Measurement of Welfare Levels: How Much Does it Cost to Make Ends Meet:” Review

of Economics and Statistics, vol. 66, 1984, pp. 500-505.

Deleeck, H., “The Adequacy of the Social Security System in Belgium, 1976-1985,”

Journal of Social Policy, vol. 18, no. 1, 1989, pp. 91-117.

Douthitt, R.A., MacDonald, M., and Mullis, R., “The Relationship Between Measures of

Subjective and Economic Well-Being: A New Look,” Social Indicators Research, vol.

26, 1992, pp. 407-422

Garner , T.I. and de Vos, K., "Income Sufficiency vs. Poverty: Results from the United

States and the Netherlands," Journal of Population Economics, vol. 8, 1995 pp. 117-134.

Hagenaars, A.J.M. and de Vos, K., “The Definition and Measurement of Poverty,” The

Journal of Human Resources, vol. 23, 1988, pp. 211-221

Hagenaars, A.J.M., The Perception of Poverty, Amsterdam: North Holland Publishers,

1986.

Kapteyn, A., Kooreman, P., and Willemse, B., “Some Methodological Issues in the

Implementation of Subjective Poverty Definitions,” The Journal of Human Resources,

vol. 23(2), 1988, pp. 222-242.

MacDonald, M., “Consumption Theories and Consumers’ Assessments of Subjective WellBeing,” The Journal of Consumer Affairs, vol., 26 (2), 1992.

Saunders, P., and Matheson, G., Perceptions of Poverty, Income Adequacy and Living

Standards in Australia, Social Policy Research Centre, Reports and Proceedings, No. 99,

April, The University of New South Wales, Kensington, New South Wales, Australia, 1992

Stanovnik, T., “Perception of Poverty and Income Satisfaction,” Journal of Economic

Psychology, vol. 13, 1992, pp. 57-69.
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Van den Bosch, K., Callan, T., Estivill, J., Hausman, P., Jeandidier, B., Muffels, R., and

Yfantopoulos, J., “A Comparison of Poverty in Seven European Countries and Regions

Using Subjective and Relative Measures,” Journal of Population Economics, Vol. 6,

1993, pp. 235-259.

van Praag, B. M.S., “Ordinal and Cardinal Utility: An Integration of the Two Dimensions

of the Welfare Concept,” Journal of Econometrics, vol. 50, 1991, pp. 69-89.

Van Praag, B. M.S., and Van der Sar, N.L., “Empirical Uses of Subjective Measures of

Well-Being,” The Journal of Human Resources, vol. 23(2), 1988, pp. 193-210.

van Praag, B.M.S., and Flik, R.J., “Poverty Line Concepts: An Application to

Czechoslovakia,” unpublished manuscript, Amsterdam, The Netherlands, 1992;

van Raaij, Fred, “Letter concerning 1996 ACR conference session on affordability,” March

21, 1996.

deVos, K. and Garner, T.I., “"An Evaluation of Subjective Poverty Definitions: Comparing

Results from the U.S. and the Netherlands," Review of Income and Wealth, Series 37,

Number 3, September, 1991.

Walker, R., “Consensual Approaches to the Definition of Poverty: Towards an Alternative

Methodology,” Journal of Social Policy, vol. 16, part 2, April 1987, pp. 213-226
\

\acr\miqoct8.doc 34

APPENDIX C: STUDY DESIGN FOR TESTING

SUBJECTIVE INCOME QUESTIONS

Singles with no children in

the home

Singles or couples with

children in the home

Couples with no children in

the home

Miami:

Low < $8,437 < $17,718 < $22,786

Medium $8,437 - $23,308 $17,718 - $44,238 $22,786 - $45,684

High > $23,308 > $44,238 > $45,684

Detroit:

Low < $10,441 < $30,293 < $32,907

Medium $$10,441 - $28,215 $30,293 - $60,031 $32,907 - $67,948

High > $28,215 > $60,031 > $67,948

Los Angeles:

Low < $11,716 < $18,542 < $30,904

Medium $11,716 - $30,904 $18,542 - $49,681 $30,904 - $63,247

High > $30,904 > $49,681 > $63,247

Baltimore:

Low < $15,001 < $35,300 < $31,129

Medium $15,001 - $28,436 $35,300 - $65,989 $31,129 - $56,841

High > $28,436 > $65,989 > $56,841

 W Va:a

Low < $8,687 < $20,666 < $22,159

Medium $8,687 - $18,016 $20,666 - $40,951 $22,159 - $43,801

High >$18,016 > $40,951 >$43,801

a

 Size D primary statistical area (population of less than 50,000) in the North Central non-metro

areas are used as a proxy.