Answer:
B. The input gains from greater international specialization and trade are the equivalent of economic growth.
Explanation:
If a country moves outside its production possibilities curve, the country has experienced economic growth, precisely because it has increased the amount of goods it can produce according to the production possibilities curve.
International trade thus facilitates economic growth because it makes each country focus on the production of the goods that have the lower opportunity cost, and therefore, use the country's resources more efficiently. This, added to technological improvements, can help a country's economy become larger in both the short and long-term.
Answer:
b) Additional paid-in capital.
Explanation:
Closing process in accounting is a period end activities which involves
the movement or transfer of temporary accounts to permanent accounts.
Temporary accounts are all income statement accounts like sales account, rent account, depreciation expense account, telephone expense account e.t.c.
This exercise is to prepare temporary accounts for the next period. since temporary accounts are measured as at period end, the transaction of a period must not be allowed to mix with another, hence the need to always close or bring to zero all temporary accounts.
In the question, all are income accounts except additional paid-in capital
Answer:
C. $4000
Explanation:
Given that
Total opportunity cost = salary plus interest forgone, that is 50,000 + 6% of 100,000
= 50,000 + 6000 = 56,000.
Total revenue received = 60,000
Recall that
Economic profits = Revenue - (implicit + explicit cost)
And that
Implicit cost = opportunity cost = 56,000
Explicit cost = 0 (from the question, revenue covered it)
Thus
Economic profit = 60000 - 56000
= $4000
Answer:
50 dollars.
Explanation:
$40 divided by .80 is 50 so that is your answer.
Multiplying the dependent variable by 100 and the explanatory variable by 100,000 leaves the OLS estimate of the slope the same.
Explanation:
Its because, The OLS slope coefficient calculators are not based on the weight.
In statistics ordinary least square (OLS), an estimate of uncertain parameters in the linear regression model is a linear least-square form. OLS is the highest likelihood estimator on the basis that errors naturally are distributed.
The OLS estimator is compatible when the regressors are exogenous and efficient when the errors are homoscedastic and not strongly associated within the class of linear unbiased estimators.