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Using Machine Learning and Qualitative Interviews to Design a Five-Question Women's Agency Index

Jayachandran, Seema; Biradavolu, Monica R.; Cooper, Jan - National Bureau of Economic Research - 2021

measure agency for 209 women in Haryana, India, first, through a semi-structured interview and, second, through a large set of …We propose a new method to design a short survey measure of a complex concept such as women's agency. The approach … close-ended questions. We use qualitative coding methods to score each woman's agency based on the interview, which we treat …

Persistent link: https://www.econbiz.de/10012496180

Survey Experiments on Economic Expectations

Fuster, Andreas - National Bureau of Economic Research - 2022

In this chapter, we discuss field experiments in surveys that are conducted with the purpose of learning about expectation formation and the link between expectations and behavior. We begin by reviewing the rationale for conducting experiments within surveys, rather than just relying on...

Persistent link: https://www.econbiz.de/10012938719

Missing Top Income Recipients

Ravallion, Martin - National Bureau of Economic Research - 2021

Low response rates among rich households are thought to be a serious problem in many applications using household surveys. The paper discusses the various ways the problem can be dealt with, and makes some recommendations for practice, including in developing countries. Under certain conditions,...

Persistent link: https://www.econbiz.de/10012585374

What Leads to Measurement Errors? Evidence from Reports of Program Participation in Three Surveys

Celhay, Pablo A.; Meyer, Bruce D.; Mittag, Nikolas - National Bureau of Economic Research - 2022

Measurement errors are often a large source of bias in survey data. Lack of knowledge of the determinants of such errors makes it difficult for data producers to reduce the extent of errors and for data users to assess the validity of analyses using the data. We study the determinants of...

Persistent link: https://www.econbiz.de/10012814427

Eliciting People's First-Order Concerns : Text Analysis of Open-Ended Survey Questions

Ferrario, Beatrice; Stantcheva, Stefanie - National Bureau of Economic Research - 2022

This paper illustrates the design and use of open-ended survey questions as a way of eliciting people's first-order concerns on policies. Multiple choice questions are the backbone of most surveys, but they may prime respondents to select answer options that they would not naturally have thought...

Persistent link: https://www.econbiz.de/10012814461

Selection in Surveys

Dutz, Deniz; Huitfeldt, Ingrid; Lacouture, Santiago; … - National Bureau of Economic Research - 2021

We evaluate how nonresponse affects conclusions drawn from survey data and consider how researchers can reliably test and correct for nonresponse bias. To do so, we examine a survey on labor market conditions during the COVID-19 pandemic that used randomly assigned financial incentives to...

Persistent link: https://www.econbiz.de/10012794577

Exhaustive or Exhausting? Evidence on Respondent Fatigue in Long Surveys

Jeong, Dahyeon; Aggarwal, Shilpa; Robinson, Jonathan; … - National Bureau of Economic Research - 2022

Living standards measurement surveys require sustained attention for several hours. We quantify survey fatigue by randomizing the order of questions in 2-3 hour-long in-person surveys. An additional hour of survey time increases the probability that a respondent skips a question by 10-64%....

Persistent link: https://www.econbiz.de/10013388795

AI, Labor, Productivity and the Need for Firm-Level Data

Seamans, Robert - 2018

We summarize existing empirical findings regarding the adoption of robotics and AI and its effects on aggregated labor and productivity, and argue for more systematic collection of the use of these technologies at the firm level. Existing empirical work primarily uses statistics aggregated by...

Persistent link: https://www.econbiz.de/10012453474

Nevertheless She Persisted? Gender Peer Effects in Doctoral STEM Programs

Bostwick, Valerie K. - 2018

across cohorts within programs, we show that women entering cohorts with no female peers are 11.9pp less likely to graduate … the probability of on-time graduation for women by 4.6pp. These gender peer effects function primarily through changes in …

Persistent link: https://www.econbiz.de/10012480681

Gender Quotas and Support for Women in Board Elections

Gertsberg, Marina; Mollerstrom, Johanna; Pagel, Michaela - National Bureau of Economic Research - 2021

and women to become board nominees, and that it did not lead to new female board nominees being of lower quality than male …

Persistent link: https://www.econbiz.de/10012482679

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