All Else Equal is taking a short break over the summer and will be revisiting some of our favorite conversations from last season. The show will be back with new episodes soon.

Solicited or not, advice on where to invest your money seems to be around every corner these days. But determining whether the advice is credible and worth listening to can be challenging.

On this episode, hosts and finance professors Jonathan Berk and Jules van Binsbergen put sources of investment advice to the test and provide listeners with some guidance on how to judge the credibility of someone’s stock picks. They also discuss private investing and the potential risk of getting in on the ground floor as an angel investor.

Find All Else Equal on the web:

https://lauder.wharton.upenn.edu/allelse/

All Else Equal: Making Better Decisions Podcast is a production of the UPenn Wharton Lauder Institute through University FM.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

All Else Equal is taking a short break over the summer and will be revisiting some of our favorite conversations from last season. The show will be back with new episodes soon.

When the pandemic hit in 2020, working from home skyrocketed. Six years later, many companies have returned to in-person work, but hybrid models are still the dominant structure. So with WFH here to stay in some form, what’s the proper balance? And what are we at risk of losing in the long term with less in-office interaction?

Nick Bloom is an economics professor at Stanford University and one of the first researchers to take a serious look at the work from home phenomenon. He joins hosts and finance professors Jonathan Berk and Jules van Binsbergen to discuss his research into why working from home has outlasted COVID precautions, its impact on employee performance, the surprising effects its had on birthrates, and his recommendation to companies on striking the perfect balance with a hybrid structure.

Find All Else Equal on the web:

https://lauder.wharton.upenn.edu/allelse/

All Else Equal: Making Better Decisions Podcast is a production of the UPenn Wharton Lauder Institute through University FM.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

All Else Equal is taking a short break over the summer and will be revisiting some of our favorite conversations from last season. The show will be back with new episodes soon.

Whether it be in politics, public health, or corporate finance, why are people more likely to interpret facts or data in a way that fits their preconceived notions about the world as opposed to searching for the fundamental truth?

A new paper from the Harvard Business School called, Sharing Models to Interpret Data (by Joshua Schwartzstein and Adi Sunderam)

studies the propensity for people to adopt interpretations to data based on their community’s beliefs, and why this can lead to less accurate conclusions. Hosts and finance professors Jonathan Berk and Jules van Binsbergen are joined by the paper’s co-author  Adi Sunderam, who is a professor of corporate finance at Harvard Business School, a research associate at the National Bureau of Economic Research, and a co-editor of the Journal of Finance.

The conversation covers the complexity of Bayesian updating and how the process is improperly deployed in today’s thinking, not only in corporate decision-making but also on a sociological level. They also discuss Sunderam’s model for explaining how people interpret data, why people are more likely to fall into group-belief dynamics, and if there are any interventions that would lead to better decision-making.

Read Adi Sunderam and Joshua Schwartzstein’s paper: Sharing Models to Interpret Data

Find All Else Equal on the web:

https://lauder.wharton.upenn.edu/allelse/

All Else Equal: Making Better Decisions Podcast is a production of the UPenn Wharton Lauder Institute through University FM.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.