Consider the following model with both entity and time fixed effects: Y =b₁X₁ +8₁ +h₂ +u; i = 1,...,n, t = 1,...T, it 1 it i t where g¡ is the (entity) fixed effect for entity i, and he is the (time) fixed effect for time period t. What are the INTERCEPT and the SLOPE for a) entity 1 in time period 1 b) entity 1 in time period 2 c) entity 2 in time period 1 d) entity 2 in time period 2
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- Anation with fixed quantities of resources is able to produce any of the following combinations of carpet and carpet looms: Yards of Carpet (Millions) Carpet Looms (Thousands) 75 60 20 45 35 30 45 15 50 50 These figures assume that a certain number of previously produced looms are available in the current period for producing carpet. To answer this question, assume carpet looms is on the y-axis and yards of carpet is on the x-ais The plot of these points that make up the PPF has a vertical intercept of and a horizontal intercept of This PPF would be (Enter your responses as a wvhole number) bowed out a straight line:= 1:36 MicrolnternationalProject 5G 49 Done International Aspect of Project Homework Below is an except pasted from a semester project for this course (broken into two pieces). Your task is to respond to this prompt and to cite at least one source. For this assignment, the source may be scholarly or from a periodical. Your source should be documented as a reference using APA style. Be sure to respond to the prompt using concepts from our course. You may use models to illustrate your points. 1. American solar farms receive billions of dollars in taxpayer subsidies each year. These subsidies allow them to substitute grain production for energy production. How do U.S. solar farm subsidies hurt or benefit Mexican farmers? 2. What does this imply for U.S. food production independence? What could be done to address this problem, and would the solution be effective? Notice, having a positive effect, a negative effect or no net-effect is a possibility on Mexican farmers. Whatever your answer,…Scott Bell Builders would like to predict the total number of labor hours spent framing a house (Y) based on the square footage of the house (X). The following data have been compiled on 7 houses recently built. Use Excel - Blank.xlsx Number of labor hours (Y) 258 189 242 177 151 226 184 type the numbers as shown below. Square footage in 100s (X) 29 27 32 35 18 30 36 Calculate the intercept (or b0). Round up to 4 decimal places.
- According to the following given information how to determine: Production Times (months) 1 9 10 11 12 13 14 15 product of 970 1,180 1,239 1,293 1,350 1,398 1,410 1,480 1,492 1,500 1,520 1,592 1,605 1,660 1,685 (Z unit) A) Break Even-point or points? B) How is to construct the relationship between entire variables through the simple drawing for all above figures and highlighting of Break Even point the drawing? C) Justify your final answer for each line of production.What is logisticDirector Very Busy needs to allocate time this week for office appointments, so he needs to forecast the number of employees who will seek appointments. The director has gathered the following time series data recently Period Employee Appointments 4 weeks ago 95 3 weeks ago 80 2 week ago 65 last week 50
- (b) Which of the following could be graphs of the function? Choose all that apply. O population years 20 40 60 80 100 120 since 1900 O population I years since 1900 20 40 60 80 100 120 O population i years 20 40 60 80 100 120 since 1900 O population years 20 40 60 80 100 120 since 1900(Ch7) If the mean time between in-flight aircraft engine shutdowns is 12,500 operating hours, what is the 90 percentile on the distribution of the number of hours until the next shutdown? (hint: convert the mean time between events to the mean events per hour λ, then apply inverse exponential) Question 7Select one: a. 20,180 hours b. 18,724 hours c. 23,733 hours d. 28,782 hoursEconomic Activity m 12/1914 08/1918 01/1912 01/1913 03/1919 Referring to the graph above, an economic variable that had peaked in December 1911, November 1914, and February 1919 is likely a O leading procyclical Onone of the above Time O lagging countercyclical O lagging procyclical O leading countercyclical variable.
- compare the results of this graph for small vs large time windows. ( the first graph= small time window, 2nd graph = large time window)2. Give an example of the time inconsistency problem applied to the relationship of a married couple.Jenny Company produces two types of pants: long pants and short pants. The cost of making a pair of short pants and a pair of long pants are RM 75 and RM 95 respectively. In one week, the company must produce at least 150 pants of each type. The minimum weekly production is 500 pants. The short pants are sold for RM 120 each and the long pants for RM 150 each. Using the graphical method, find: a. The number of short pants and long pants to be made in a week in order to minimise the total production cost. b. The profit made at the minimum weekly production cost.