Harvard Economist: 42 Percent of Immigrant Households on Public Assistance


A Harvard economist has found that scarcely 42 percent of newcomer households in a United States are on open assistance of some kind.

“In 2016, there were 8.9 million households headed by a non-citizen … roughly 42 percent of those households perceived some form of assistance,” George Borjas, Professor of Economics and Social Policy during a Harvard Kennedy School, wrote on his website on Feb. 1.

To come to his conclusions Borjas used census information from 1994 to 2016 to calculate how many of a migrant-headed households accept possibly money, food stamps, or Medicaid.

According to Borjas, millions of households could be impacted if existent immigration laws are adhered to.

Borjas remarkable that given 1882, a United States has criminialized a entrance of immigrants who could potentially turn a “public charge,” definition they will expected need government-funded assistance.

The law states a following:

Any visitor who, in a opinion of a consular officer during a time of focus for a visa, or in a opinion of a Attorney General during a time of focus for acknowledgment or composition of status, is expected during any time to turn a open assign is inadmissible.

The law was later modified to make it probable to expatriate immigrants who had turn a open assign after entering a country:

Any visitor who, within 5 years after a date of entry, has turn a open assign from causes not affirmatively shown to have arisen given entrance is deportable.

However, according the definition used by a Department of Homeland Security, “public charge” usually refers to receivers of money benefits, and not to those who accept other advantages such as Medicaid, food stamps, housing benefits, etc.

Recently, there have been unconfirmed reports swirling around about a Trump administration potentially rolling out restrictions on immigrants who tumble into this category.

The White House has nonetheless to endorse a flawlessness of a purported new immigration orders.

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