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What effects does guaranteed income have on U.S. citizens? (with Eva Vivalt)

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Contenuto fornito da Spencer Greenberg. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Spencer Greenberg o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Read the full transcript here.

What have we learned about UBI from recent, large-scale studies? What factors contribute to differential attrition in (especially long-term) studies? How much does it cost to run large UBI studies? Where else in the world have major UBI studies been run? What's the difference between "guaranteed income" and UBI? How do people in cash transfer studies tend to spend their money? Should restrictions be placed on what people can spend their study money on? How long does it take to see various effects of UBI or guaranteed income on a large scale? How does guaranteed income affect the nature of work in recipients' lives? How does guaranteed income affect a person's net worth in the long run? What are the effects on well-being? How does topical knowledge affect prediction accuracy in a given area? How good are subject-matter experts at making predictions about the outcome or utility of a study? How can such predictions in aggregate be used to shape future research? To what extent should reseachers express uncertainty when making proposals to policy-makers? How much of an effect does the publishing of academic papers have on the world? What kind of person should try to build a career in academia? How can non-experts assess the rigor and significance of academic papers?

Eva Vivalt is an Assistant Professor in the Department of Economics at the University of Toronto. Dr. Vivalt's main research interests are in investigating stumbling blocks to evidence-based policy decisions, including methodological issues, how evidence is interpreted, and the use of forecasting. Dr. Vivalt is also a principal investigator on three guaranteed income RCTs and a co-founder of the Social Science Prediction Platform, a platform to coordinate the collection of forecasts of research results. Find out more about her on her website, evavivalt.com.

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440 episodi

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iconCondividi
 
Manage episode 455057809 series 2807409
Contenuto fornito da Spencer Greenberg. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Spencer Greenberg o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Read the full transcript here.

What have we learned about UBI from recent, large-scale studies? What factors contribute to differential attrition in (especially long-term) studies? How much does it cost to run large UBI studies? Where else in the world have major UBI studies been run? What's the difference between "guaranteed income" and UBI? How do people in cash transfer studies tend to spend their money? Should restrictions be placed on what people can spend their study money on? How long does it take to see various effects of UBI or guaranteed income on a large scale? How does guaranteed income affect the nature of work in recipients' lives? How does guaranteed income affect a person's net worth in the long run? What are the effects on well-being? How does topical knowledge affect prediction accuracy in a given area? How good are subject-matter experts at making predictions about the outcome or utility of a study? How can such predictions in aggregate be used to shape future research? To what extent should reseachers express uncertainty when making proposals to policy-makers? How much of an effect does the publishing of academic papers have on the world? What kind of person should try to build a career in academia? How can non-experts assess the rigor and significance of academic papers?

Eva Vivalt is an Assistant Professor in the Department of Economics at the University of Toronto. Dr. Vivalt's main research interests are in investigating stumbling blocks to evidence-based policy decisions, including methodological issues, how evidence is interpreted, and the use of forecasting. Dr. Vivalt is also a principal investigator on three guaranteed income RCTs and a co-founder of the Social Science Prediction Platform, a platform to coordinate the collection of forecasts of research results. Find out more about her on her website, evavivalt.com.

Further reading

Staff

Music

Affiliates

  continue reading

440 episodi

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