Estimates from the Joint Committee on Taxation reveal that two-fifths of all taxpayers would receive either a negligible change in their taxes or a tax increase under the Senate Finance Committee's reform package released November 9.
And they’re off! Like horses out of the starting gate, Congress begins in earnest the start of the tax reform process with the release of the Tax Cuts and Jobs Act (H.R. 1), introduced by House Ways and Means Committee Chair Kevin Brady, R-Texas, on November 2. What started seven years ago as a studied bipartisan effort to reduce the deficit has morphed into a frenzied, partisan race to get any type of win.
The October 16 study from the Council of Economic Advisors — which I will take the liberty here to rename “The Economic Effects of a Yet Unspecified Corporate Tax Reform: Some Theory and Some Evidence” — is a classic example of how industry and partisan interests use economic analysis to give the public the impression their views are scientifically proven.
Perhaps a more intuitive way to grasp basic idea of new AMT on multinationals U.S. operations: if foreign affilate's value added more than 1/3 of total value added on US sales, then pay new tax. See simple math below: https://t.co/ku4lKWu6RB
Perhaps a simpler way to think about new AMT on US operations of multinationals in Senate Finance bill: Pay extra tax if foreign value added greater than 50% US value added. See simple math below. https://t.co/7aWvfaeAkU
Triggers? In 2001 though federal debt projected to be ZERO, Treasury Sec O'Neill and Fed's Greenspan advocated triggers that conditioned tax cuts on meeting deficit targets. Currently debt projected to be $28 trillion (91% of GDP). Rs detest idea but small triggers in SFC bill.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".