Berkeley tax economists Gabriel Zucman and Emmanuel Saez find fresh insights into wealth inequality in America.

Jacob Miramar

2019-06-27 10:39:00 Thu ET

Berkeley tax economists Gabriel Zucman and Emmanuel Saez find fresh insights into wealth inequality in America. Their latest estimates show that the top 0.1% of U.S. taxpayers control 20% of American wealth. This result represents the highest share since 1929. The top 1% of U.S. taxpayers control 39% of American wealth, whereas, the bottom 90% of U.S. taxpayers keep only 26% of American wealth. In contrast, the bottom half of Americans collectively have a negative net worth (i.e. total liabilities exceed total assets).

Zucman further finds that multinational corporations move 40% of their $600 billion offshore profits out of high-tax countries into lower-tax jurisdictions. With their main empirical results, Saez and Zucman both champion bold and aggressive tax policy recommendations. For instance, Senator Elizabeth Warren proposes a wealth tax that would rake in $2.8 trillion over the next decade. Warren confers with Saez and Zucman again before she floats a corporate tax on net profits above $100 million. This tax may raise $1 trillion over 10 years.  Further, New York congressional rep Alexandria Ocasio-Cortez proposes to hike the top marginal tax rate for Americans who earn annual income above $10 million. The Saez-Zucman empirical results lend credence to these bold tax policy proposals.

 


If any of our AYA Analytica financial health memos (FHM), blog posts, ebooks, newsletters, and notifications etc, or any other form of online content curation, involves potential copyright concerns, please feel free to contact us at service@ayafintech.network so that we can remove relevant content in response to any such request within a reasonable time frame.

Blog+More

Business titans often step away from their urgent work, slow down, and invest in self-enrichment.

Laura Hermes

2017-12-23 10:40:00 Saturday ET

Business titans often step away from their urgent work, slow down, and invest in self-enrichment.

Despite having way more responsibility than anyone else, top business titans such as Warren Buffett, Charlie Munger, and Oprah Winfrey often step away from

+See More

Corporate ownership governance theory and practice

Monica McNeil

2022-04-25 10:34:00 Monday ET

Corporate ownership governance theory and practice

Corporate ownership governance theory and practice  The genesis of modern corporate governance and ownership studies traces back to the seminal work

+See More

The new antitrust enforcement paradigm

Joseph Corr

2023-10-14 10:32:00 Saturday ET

The new antitrust enforcement paradigm

Jonathan Baker frames the current debate over antitrust merger review and enforcement in America. Jonathan Baker (2019)   The antitrust paradi

+See More

Federal Reserve delivers a second interest rate hike to 1.75%-2% and then expects more rate increases in late-2018.

Charlene Vos

2018-06-08 13:35:00 Friday ET

Federal Reserve delivers a second interest rate hike to 1.75%-2% and then expects more rate increases in late-2018.

The Federal Reserve delivers a second interest rate hike to 1.75%-2% and then expects subsequent rate increases in September and December 2018 to dampen inf

+See More

House Judiciary Committee summons senior executive reps of the tech titans to assess online platforms and their market power.

Peter Prince

2019-08-18 11:33:00 Sunday ET

House Judiciary Committee summons senior executive reps of the tech titans to assess online platforms and their market power.

House Judiciary Committee summons senior executive reps of the tech titans to assess online platforms and their market power. These companies are Facebook,

+See More

Most artificial intelligence applications cannot figure out the intricate nuances of natural language and facial recognition.

Fiona Sydney

2019-09-01 10:31:00 Sunday ET

Most artificial intelligence applications cannot figure out the intricate nuances of natural language and facial recognition.

Most artificial intelligence applications cannot figure out the intricate nuances of natural language and facial recognition. These intricate nuances repres

+See More