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Ratling [72]
4 years ago
5

Labor is a resource that is necessary to produce many goods. "if the price of labor falls," says the economist, "the prices of g

oods will soon follow." how does this work? if the price of labor falls, the supply of goods rises, and the prices of those goods fall. if the price of labor falls, the quantity supplied of goods rises, and the prices of those goods fall. if the price of labor falls, the demand for goods falls, and the prices of those goods fall. if the price of labor falls, the demand for goods rises, and the prices of those goods fall. if the price of labor falls, the supply of goods falls, and the prices of those goods fall.
Business
1 answer:
Anna007 [38]4 years ago
7 0

If the price of labor falls, the supply of goods rises and the prices of those goods fall.

If labor costs go down, it will cost less for a business to make products so they will make more and supply will go up. When supply goes up, prices tend to fall.

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Which employees should be aware of how to turn off power to a shop in an emergency?
Vinil7 [7]

Answer:

Last one.

Explanation:

All the workers should know how to turn off the power in an emergency. Just in case there isn't one, there is the other.

5 0
3 years ago
James purchased a commercial property at a 7.5% cap rate. The previous owner agreed to finance the deal at 8%. Why may James ele
dlinn [17]

Answer:

James will lose money, since his earnings will be lower than the interest that he must pay.

Explanation:

The capitalization (cap) rate is a ratio calculated by dividing the net operating income over the property asset value.

For example, if James is purchasing the property at $100,000, his net earning will be $7,500 per year (cap rate of 7.5%), but he will have to $8,000 in interests for the property. The interests are higher than the earnings, therefore the leverage is negative.

7 0
4 years ago
The systematic risk principle states that the expected return on a risky asset depends only on the asset’s ___ risk.
Ahat [919]

The systematic risk principle states that the expected return on a risky asset depends only on the asset’s <u>market </u>risk.

<h3>What are systematic risk principles?</h3>

According to the systemic risk concept, the expected return on an asset is solely determined by its systematic risk. As a result, regardless of how much overall risk an asset carries, just the systematic part is significant in estimating the expected return (including risk premium) on such asset.

Market risk is a kind of systematic risk that affects the entire market. Because it cannot be diversified and distributed, the investor is compensated for it.

Learn more about systematic risk principles here:

brainly.com/question/25821437

#SPJ1

Learn more about systematic risk principles here:

5 0
2 years ago
Daniel and Melissa just bought a new house for $200,000. Each quarter, they now have to pay $4,000 in taxes. Which type of tax a
Cerrena [4.2K]
Real estate property
4 0
3 years ago
Read 2 more answers
Which of the following is true about multicollinearity?
Komok [63]

Answer:

d. It is best measured using the statistic variance inflation factor (VIF).

Explanation:

Multicollinearity is an important issue in multiple regression model, having many independent/ explanatory variables. Multicollinearity is the situation in which two or more independent variables are highly correlated. It is problematic because it increases the standard error of independent variable coefficient & undermines its statistical significance

Variance Inflation Factor [VIF] is a check & corrective measure of multicollinearity.  

  • VIF as a multicollinearity check : It quantifies the correlation between one explanatory variable with other explanatory variables.VIF = 1 implies there is no multicollinearity (correlation between independent variables); VIF upto 5  implies there is moderate multicollinearity (correlation between independent variables). VIF > 5 implies high multicollinearity (correlation between independent variables)
  • VIF as a multicollinearity correction : Calculating  Var (\beta j ) = σ^2 / [TSS j (1 - R^2j)] ; where TSS = total sum of square of variable j , σ^2 =  j variance, R^2 j = R^2 from regressing all other independent variable on variable j
3 0
3 years ago
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