Answer:
an increase in price and an indeterminate increase in equilibrium quantity
Explanation:
Increase in demand leads to an outward shift of the demand curve. As a result equilibrium price and quantity increases
A decrease in supply leads to an inward shift of the supply curve
actor Co. can produce a unit of product for the following costs: Direct material $ 8.60 Direct labor 24.60 Overhead 43.00 Total product cost per unit $ 76.20 An outside supplier offers to provide Factor with all the units it needs at $48.40 per unit. If Factor buys from the supplier, the company will still incur 60% of its overhead. Factor should choose to:
Answer:
Relevant cost to make = Direct materials + Direct labor + Variable overhead
Relevant cost to make = $8.60 + $24.60 + $43.00 (1-60%)
Relevant cost to make = $8.60 + $24.60 + $17.20
Relevant cost to make = $50.40
Outside supplier cost ($48.40) < Relevant cost to make ($50.40). So, Factor should choose to buy because the relevent cost is less than outside supplier cost.
Instead of investing a lump of sum of $25000,Brittany Royer decides to svae the money in a vault for 2years. Assuming the inflation being 2.5%per year,how much will her purchasing power decline in 2years
Answer:
$1265.63
Explanation:
Inflation is a persistent rise in the general price levels
Types of inflation
1. demand pull inflation – this occurs when demand exceeds supply. When demand exceeds supply, prices rise
2. cost push inflation – this occurs when the cost of production increases. This leads to a reduction in supply. Higher prices are the resultant effect
Loss in purchasing value = future value of the amount saved - amount saved
The formula for calculating future value:
FV = P (1 + r)^n
FV = Future value
P = Present value
R = interest rate
N = number of years
$25000 (1.025)² = $26.265.625
Amount lost = $26.265.625 - $25,000 = $1265.63
Unobserved effects versus idiosyncratic errors
Suppose you have two years' worth of panel data on wages and work experience of adults; however, the data set has no further information on the characteristics of the individuals in the data set. Specifically, you have cross-sectional wage and work experience data on individuals in 2006, and cross-sectional data on those same individuals in 2012. You plan to use the following fixed effects model to analyze the effects of work experience on wages:
log (wage it ) = βo + 80 yr10, + B1 experit + ai + uit
where
wage it = yearly wage of individual i at time t, in dollars
yrl0, =1 in the year 2010 (t = 2), and =0 otherwise (t = 1)
exper = years of work experience of individual i, at time t
ai = unobserved (time-invariant) effect
uit = idiosyncratic error
Two other factors that can influence wage, which you have not controlled for in your model, are height and industry of employment.
Use the following table to indicate which term in the fixed effects model captures the effect of height, which term captures the effect of industry of employment, and which term captures the effect of work experience.
ai uit β1
Work experience
Height
Industry of employment
Answer:
The terms that capture the effect of industry of employment and work experience are:
Industry of employment = uit
Work experience = β1
Height = ai
Explanation:
a) Data:
ai uit β1
Work experience
Height
Industry of employment
b) Explanation
The "idiosyncratic error" (uit) describes the unobserved factors that impact the dependent variable. For example, industry of employment, and this factor vary from one-time period to the next.
The unobserved (time-invariant) effect (ai) refers to the height of the industry of employment, which does not vary over time.
Finally, work experience is depicted by β1, which is a factor that changes with time.
Examine a product that has recently changed prices when you were at the grocery store in the past week. Analyze one determinant of supply and demand that has created the price to increase or decrease in your example. How did the change in demand or supply affect the market price in your example
Answer:
In the store the bread seemed to have a higher demand this week. When we went monday the shelfs were full of bread and the bread was 3.75 and when we went saturday it was 3.99. I think because it was in higher demand the bread went uo in cost so they wouldn't sell out.
