Ori Heffetz
Biographic Data
| ID | 1471389 |
|---|---|
| NAME | Ori Heffetz |
| GIVEN NAMES | Ori |
| FAMILY NAME | Heffetz |
| SIGNATURE | HEFFETZ O |
| AFFILIATIONS | Cornell University |
| ORCID | 0000-0003-1487-4238 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Teaching happiness (economics) in your dismal-science courses
The authors of this article discuss ideas for incorporating the study of happiness and other measures of self-reported or subjective well-being (SWB) into undergraduate economics courses. They begin by motivating why economics students would benefit from learning about SWB, and then proceed to provide examples of ways to introduce this topic into different parts of the curriculum: macroeconomics, microeconomics, and upper-division electives.
What do Happiness Data Mean? Theory and Survey Evidence
What utility notion—e.g. flow/lifetime, self/family-centered—do self-reported well-being (SWB) questions measure? Existing applications make different assumptions regarding the (i) life domains, (ii) time horizons, and (iii) other-regarding preferences captured by SWB data. To obtain relevant evidence, we ask survey respondents what they had in mind regarding (i)–(iii) when answering commonly used—life satisfaction, happiness, ladder—and new SWB …
What Do Happiness Data Mean? Theory and Survey Evidence
Self-reported wellbeing indicators are a valuable complement to traditional economic indicators but are not yet ready to compete with them
We join the call for governments to routinely collect survey-based measures of self-reported wellbeing and for researchers to study them. We list a number of challenges that have to be overcome in order for these measures to eventually achieve a status that is competitive with traditional economic indicators. We discuss in more detail one of the challenges, comprehensiveness : single-question wellbeing measures do not seem to fully capture what p…
Difficulty of Reaching Respondents and Nonresponse Bias: Evidence from Large Government Surveys
How high is unemployment? How low is labor force participation? Is obesity more prevalent among men? How large are household expenditures? We study the sources of the relevant official statistics—the Current Population Survey, the Behavioral Risk Factor Surveillance System, and the Consumer Expenditure Survey—and find that the answers depend on whether we look at easy- or at difficult-to-reach respondents, measured by the number of call and visit…
The relationship between the normalized gradient addition mechanism and quadratic voting
Beyond Happiness and Satisfaction: Toward Well-Being Indices Based on Stated Preference
This paper proposes foundations and a methodology for survey-based tracking of well-being. First, we develop a theory in which utility depends on “fundamental aspects” of well-being, measurable with surveys. Second, drawing from psychologists, philosophers, and economists, we compile a comprehensive list of such aspects. Third, we demonstrate our proposed method for estimating the aspects' relative marginal utilities—a necessary input for constru…
Privacy and Data-Based Research
What can we, as users of microdata, formally guarantee to the individuals (or firms) in our dataset, regarding their privacy? We retell a few stories, well-known in data-privacy circles, of failed anonymization attempts in publicly released datasets. We then provide a mostly informal introduction to several ideas from the literature on differential privacy, an active literature in computer science that studies formal approaches to preserving the …
What Do You Think Would Make You Happier? What Do You Think You Would Choose?
Would people choose what they think would maximize their subjective well-being (SWB)? We present survey respondents with hypothetical scenarios and elicit both choice and predicted SWB rankings of two alternatives. While choice and predicted SWB rankings usually coincide in our data, we find systematic reversals. We identify factors—such as predicted sense of purpose, control over one's life, family happiness, and social status—that help explain …
Who sees what? Demographics and the visibility of consumer expenditures
A Test of Conspicuous Consumption: Visibility and Income Elasticities
This paper shows that, consistent with a signaling-by-consuming model à la Veblen, income elasticities can be predicted from the visibility of consumer expenditures. We outline a stylized conspicuous consumption model where income elasticity is endogenously predicted to be higher if a good is visible and lower if it is not. We then develop a survey-based measure of expenditure visibility, ranking different expenditures by how noticeable they are …
Who sees what? Demographics and the visibility of consumer expenditures
Privacy and Data-Based Research
What can we, as users of microdata, formally guarantee to the individuals (or firms) in our dataset, regarding their privacy? We retell a few stories, well-known in data-privacy circles, of failed anonymization attempts in publicly released datasets. We then provide a mostly informal introduction to several ideas from the literature on differential privacy, an active literature in computer science that studies formal approaches to preserving the …
A Test of Conspicuous Consumption: Visibility and Income Elasticities
This paper shows that, consistent with a signaling-by-consuming model à la Veblen, income elasticities can be predicted from the visibility of consumer expenditures. We outline a stylized conspicuous consumption model where income elasticity is endogenously predicted to be higher if a good is visible and lower if it is not. We then develop a survey-based measure of expenditure visibility, ranking different expenditures by how noticeable they are …
What Do You Think Would Make You Happier? What Do You Think You Would Choose?
Would people choose what they think would maximize their subjective well-being (SWB)? We present survey respondents with hypothetical scenarios and elicit both choice and predicted SWB rankings of two alternatives. While choice and predicted SWB rankings usually coincide in our data, we find systematic reversals. We identify factors—such as predicted sense of purpose, control over one's life, family happiness, and social status—that help explain …
Who sees what? Demographics and the visibility of consumer expenditures
Beyond Happiness and Satisfaction: Toward Well-Being Indices Based on Stated Preference
This paper proposes foundations and a methodology for survey-based tracking of well-being. First, we develop a theory in which utility depends on “fundamental aspects” of well-being, measurable with surveys. Second, drawing from psychologists, philosophers, and economists, we compile a comprehensive list of such aspects. Third, we demonstrate our proposed method for estimating the aspects' relative marginal utilities—a necessary input for constru…
Privacy and Data-Based Research
What can we, as users of microdata, formally guarantee to the individuals (or firms) in our dataset, regarding their privacy? We retell a few stories, well-known in data-privacy circles, of failed anonymization attempts in publicly released datasets. We then provide a mostly informal introduction to several ideas from the literature on differential privacy, an active literature in computer science that studies formal approaches to preserving the …
The relationship between the normalized gradient addition mechanism and quadratic voting
Difficulty of Reaching Respondents and Nonresponse Bias: Evidence from Large Government Surveys
How high is unemployment? How low is labor force participation? Is obesity more prevalent among men? How large are household expenditures? We study the sources of the relevant official statistics—the Current Population Survey, the Behavioral Risk Factor Surveillance System, and the Consumer Expenditure Survey—and find that the answers depend on whether we look at easy- or at difficult-to-reach respondents, measured by the number of call and visit…
Self-reported wellbeing indicators are a valuable complement to traditional economic indicators but are not yet ready to compete with them
We join the call for governments to routinely collect survey-based measures of self-reported wellbeing and for researchers to study them. We list a number of challenges that have to be overcome in order for these measures to eventually achieve a status that is competitive with traditional economic indicators. We discuss in more detail one of the challenges, comprehensiveness : single-question wellbeing measures do not seem to fully capture what p…
What Do Happiness Data Mean? Theory and Survey Evidence
What do Happiness Data Mean? Theory and Survey Evidence
What utility notion—e.g. flow/lifetime, self/family-centered—do self-reported well-being (SWB) questions measure? Existing applications make different assumptions regarding the (i) life domains, (ii) time horizons, and (iii) other-regarding preferences captured by SWB data. To obtain relevant evidence, we ask survey respondents what they had in mind regarding (i)–(iii) when answering commonly used—life satisfaction, happiness, ladder—and new SWB …
Teaching happiness (economics) in your dismal-science courses
The authors of this article discuss ideas for incorporating the study of happiness and other measures of self-reported or subjective well-being (SWB) into undergraduate economics courses. They begin by motivating why economics students would benefit from learning about SWB, and then proceed to provide examples of ways to introduce this topic into different parts of the curriculum: macroeconomics, microeconomics, and upper-division electives.
Economics (8 works) · Psychology (7 works) · Psychological Well-being and Life Satisfaction (6 works) · Computer Science (5 works) · Econometrics (5 works) · Happiness (5 works) · Social Psychology (5 works) · Mathematics (4 works) · Statistics (4 works) · Health disparities and outcomes (3 works)