Choosing Your Pond: Location Choices and Relative Income

2020 ◽  
pp. 1-46 ◽  
Author(s):  
Nicolas L. Bottan ◽  
Ricardo Perez-Truglia
Keyword(s):  
Medical Students ◽  
Field Experiment ◽  
Survey Data ◽  
Revealed Preference ◽  
Information Provision ◽  
Relative Income ◽  
Choice Data ◽  
Location Choices ◽  
Income Distributions ◽  
Data Survey

Do individuals care about their relative income? While this is a long-standing hypothesis, revealed-preference evidence remains elusive. We provide a unique test by studying residential choices: individuals often must choose between places with different income distributions, and as a result they “choose” their relative income. We conducted a field experiment with 1,080 senior medical students who participated in the National Resident Matching Program. We estimate their preferences by combining choice data, survey data on perceptions and information-provision experiments. The evidence suggests that individuals care about their relative income and that these preferences differ across single and non-single individuals.

scholarly journals Fireside Chats: A Novel Wellness Initiative for Medical Students in the COVID-19 Era

2021 ◽  
pp. 000313482110030
Author(s):  
Sean J Lee ◽  
Abdul Kader Natour ◽  
Sunil K Geevarghese
Keyword(s):  
Mental Health ◽  
Medical Students ◽  
Learning Communities ◽  
Small Group ◽  
Survey Data ◽  
Social Engagement ◽  
Present Survey ◽  
Group Activities ◽  
Large Group ◽  
Depression Era

To supplement preexisting wellness programming for the surgery clerkship, a faculty surgeon at Vanderbilt initiated Fireside Chats (FC) in 2015. Inspired by Franklin Roosevelt’s Depression-era radio broadcasts, FC features small group sizes, off-campus excursions, and a reimagining of the mentor–mentee relationship that eschews hierarchy in favor of deep, mutualistic connections in both personal and professional domains. Here we describe the rationale and implementation of FC and present survey data that demonstrate the warm reception of FC and its efficacy in stewarding the mental health of medical students. Moreover, unlike large group activities such as “learning communities,” FC continues to meet in-person during COVID-19 and preserves social engagement opportunities that may alleviate pandemic-induced isolation and distress.

The Impact of Payment and Respondents’ Participation on Interviewers’ Accuracy in Face-to-face Surveys

Field Methods ◽  
2018 ◽  
Vol 30 (4) ◽  
pp. 295-311
Author(s):  
Natalja Menold ◽  
Uta Landrock ◽  
Peter Winker ◽  
Nathalie Pellner ◽  
Christoph J. Kemper
Keyword(s):  
Field Experiment ◽  
Survey Data ◽  
Task Difficulty ◽  
Quality Data ◽  
Cooperative Group ◽  
Willingness To Participate ◽  
High Quality ◽  
Face To Face ◽  
The Impact

In face-to-face interviews, accurate work by interviewers is crucial for ensuring high-quality survey data. In a field experiment, payment of interviewers, legitimation of falsification behavior, and respondents’ willingness to participate were experimentally varied. The impact of these factors on interviewers’ accuracy during fieldwork was investigated. Low accuracy was operationalized, for instance, as noncompliance with the instructions concerning contacting and recruitment. In addition, falsifications by interviewers were investigated. There were fewer deviations from prescribed routines, and interviewers’ work was of higher quality if the interviewers were paid per hour and when respondents belonged to the cooperative group, compared to break-offs. We conclude that high task difficulty may lead to a decrease of interviewers’ accuracy. Payment per hour seems to ensure higher-quality data and should be preferred.

scholarly journals Information provision and energy consumption: Evidence from a field experiment

2018 ◽  
Vol 71 ◽  
pp. 403-410 ◽  
Author(s):  
Erdal Aydin ◽  
Dirk Brounen ◽  
Nils Kok
Keyword(s):  
Energy Consumption ◽  
Field Experiment ◽  
Information Provision

scholarly journals Estimation of intergenerational mobility in small samples: evidence from German survey data

2020 ◽  
Vol 151 (2) ◽  
pp. 621-643
Author(s):  
Iryna Kyzyma ◽  
Olaf Groh-Samberg
Keyword(s):  
Survey Data ◽  
Income Elasticity ◽  
Intergenerational Mobility ◽  
West Germany ◽  
Small Samples ◽  
Income Distributions ◽  
Labor Earnings ◽  
Parents And Children ◽  
Children And Parents ◽  
Using Data

AbstractUsing data from the German socio-economic panel, this paper provides new evidence on intergenerational mobility in Germany by focusing on intergenerational association in ranks—i.e. positions, which parents and children occupy in their respective income distributions. We find that the association of children’s ranks with ranks of their fathers is about 0.242 for individual labor earnings and it is higher for sons than for daughters. It is also higher in East Germany compared to West Germany. The results further show that rank-based measures of mobility are less sensitive than conventional measures of intergenerational income elasticity to different methodological and sample specification choices, such as the stages of the life cycle when incomes of children and parents are measured, the number of years for which incomes are considered, the treatment of zero values in income variables and the choice of annual versus hourly earnings. Moreover, they are more robust for sub-group comparisons of intergenerational mobility (e.g. across gender and region). This evidence suggests that, similarly to large administrative datasets, rank-based measures of intergenerational mobility perform better than elasticity-based measures in small samples based on survey data.

Learning Through Noticing: Theory and Evidence from a Field Experiment *

2014 ◽  
Vol 129 (3) ◽  
pp. 1311-1353 ◽  
Author(s):  
Rema Hanna ◽  
Sendhil Mullainathan ◽  
Joshua Schwartzstein
Keyword(s):  
Experimental Data ◽  
Field Experiment ◽  
Survey Data ◽  
Behavioral Changes ◽  
Production Frontier ◽  
Technological Learning ◽  
Experimental Trials

Abstract We consider a model of technological learning under which people “learn through noticing”: they choose which input dimensions to attend to and subsequently learn about from available data. Using this model, we show how people with a great deal of experience may persistently be off the production frontier because they fail to notice important features of the data they possess. We also develop predictions on when these learning failures are likely to occur, as well as on the types of interventions that can help people learn. We test the model’s predictions in a field experiment with seaweed farmers. The survey data reveal that these farmers do not attend to pod size, a particular input dimension. Experimental trials suggest that farmers are particularly far from optimizing this dimension. Furthermore, consistent with the model, we find that simply having access to the experimental data does not induce learning. Instead, behavioral changes occur only after the farmers are presented with summaries that highlight previously unattended-to relationships in the data.

scholarly journals A Comprehensive Approach to Revealed Preference Theory

2017 ◽  
Vol 107 (4) ◽  
pp. 1239-1263 ◽  
Author(s):  
Hiroki Nishimura ◽  
Efe A. Ok ◽  
John K.-H. Quah
Keyword(s):  
Euclidean Space ◽  
Utility Function ◽  
Revealed Preference ◽  
Consumer Theory ◽  
Choice Data ◽  
Preference Theory ◽  
Positive Orthant ◽  
Intertemporal Consumption ◽  
Afriat’S Theorem ◽  
Revealed Preference Theory

We develop a version of Afriat's theorem that is applicable in a variety of choice environments beyond the setting of classical consumer theory. This allows us to devise tests for rationalizability in environments where the set of alternatives is not the positive orthant of a Euclidean space and where the rationalizing utility function is required to satisfy properties appropriate to that environment. We show that our results are applicable, amongst others, to choice data on lotteries, contingent consumption, and intertemporal consumption. (JEL D11, D81)

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