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Record W218122924

Sliding U.S. Dollar Packs a Wallop to Wallets Worldwide

2008· article· en· W218122924 on OpenAlexaboutno aff
Quinn Bowman

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEuropean Monetary and Fiscal Policies
Canadian institutionsnot available
Fundersnot available
KeywordsLiberian dollarCurrencyGovernment (linguistics)Value (mathematics)CashBusinessU.S. Dollar IndexEconomicsMonetary economicsFinanceUs dollar
DOInot available

Abstract

fetched live from OpenAlex

This article, class activity, and student worksheet are provided by PBS NewsHour Extra, which offers features, lesson plans and teacher resources on a wide variety of contemporary topics at www.pbs.org/newshour/extra/teachers/ The once one of the world's strongest currencies, has fallen dramatically in recent years--a development impacting attitudes from corporate boardrooms to the sets of music videos where artists are choosing to flash the euro over American cash. When measured against a collection of other leading worldwide currencies--like the European euro, the Japanese yen and the Canadian dollar--the U.S. dollar has lost a quarter of its value over the last five years, according to the Economist magazine. The euro and Canadian dollar both used to be worth less than the American dollar. Travelers who once paid 82 cents for each euro must now pay $1.40 to buy a euro, while the Canadian dollar is approximately equal with its American counterpart. While this makes it more expensive for Americans to travel outside the country and to buy goods from foreign nations, it makes it easier for U.S. companies to sell their goods overseas, because now they are cheaper. Deficits Harm the Dollar The dollar is losing value because of several factors: the federal deficit, the trade deficit and most recently, the weakening economy due to the housing and mortgage crunches. For several years, the dollar has fallen due to the large amount of money the federal government borrows to pay its bills. In addition, America buys more goods from other countries than it makes and sells--creating a trade deficit that sucks money out of the country. This worries currency traders, the people who decide how much currencies like the dollar and euro are worth, because they wonder how long the United States can borrow money and how long it can continue to send its dollars to manufacturers in China and other countries. Pop Culture Spurns the Dollar But currency traders aren't the only folks concerned about the fate of the dollar. Rapper Jay-Z recently released a new video in which he flashes euros, not dollars. And one of the world's richest supermodels, Gisele Bundchen, said she wanted to be paid in euros because of the dollar's weak outlook. Contracts starting now are more attractive in euros because we don't know what will happen to the dollar, Patricia Bundchen, the model's twin sister and manager, said, according to the Brazilian magazine Veja. Housing Slump Hurts the Dollar Meanwhile, the U.S. central bank, the Federal Reserve, has been trying to fix problems in the U.S. housing market in ways that weaken the dollar even further. Over the past decade, a large number of Americans purchased expensive homes due to low interest rates and the ease of obtaining a large home loan. In some cases, banks loosened their rules on who they loaned money to and encouraged people to buy bigger and bigger houses because the prices kept going up, making it seem like a good investment. But now that prices have started to go down, many Americans face the prospect of losing their homes to the banks, and the banks will not be able to sell them because the market is in a downturn. Other home buyers have adjustable loans, which means their monthly mortgage payments may reset to a higher amount after five or seven years. This recent development has threatened to send the entire U.S. economy into a recession and has also spurred the Federal Reserve to cut the interest rate for borrowing U.S. dollars. The Federal Reserve also released more money to the banking system to encourage banks to keep lending money. Concerned Currency Traders Because currency traders would rather hold currencies with high interest rates, this has further lowered the value of the dollar. Various countries that hold American dollars as an investment now have more of an incentive to sell those dollars, creating a larger supply of U. …

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.589
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.009

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.057
GPT teacher head0.204
Teacher spread0.148 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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