Question

In: Economics

Firms Behavior in Labor Market a- We are interested in the causal relationship between units of...

Firms Behavior in Labor Market

a- We are interested in the causal relationship between units of labor demanded by firm (??) and price of firm’s output (???????). What factors do we need to hold fixed to be able to correctly hypothesize about the causal relationship between the two variables? Name all of them. Holding those factors constant, do you expect ?? to increase or decrease as a result of an increase in ???????? Explain and draw your answer on a diagram where the horizontal axis refers to ?? and the vertical axis refers to ???????.

b- Assume that a labor-augmenting technological innovation happens in this market. How the graph you drew in part (a) will be affected as a result?

c- Assume that the raw materials that are used in the production of the firm’s output become more expensive. How the graph you drew in part (a) will be affected as a result?

Solutions

Expert Solution

a. we may need to hold consistent the accompanying: cost of other info factors, e.g., machine hours; demand for labour hours by different firms; mechanical progressions prompting a move in the demand for labor by this firm

b. we realize that as the price (of output) goes up a seller supplies a greater amount of the goods/services being referred to. This would require more creation and subsequently more labor input. So with an expansion in the price of output, the firm would request more labor input

c. A labor saving mechanical and technological development will mean less demand for labor at each price level (of output). Consequently the interest bend for labor contribution as an element of the price of output will move leftwards inferring lower amount interest for labor contribution for same price of output. Please see outline underneath, where vertical pivot shows price of output and even horizontal axis shows demand for labor input, and the green line shows the aftereffect of mechanical and technological development bringing about labor saving.

********PLEASE UPVOTE AS SMALL TOKEN OF APPRECIATION***********


Related Solutions

We are interested in the relationship between the compensation of Chief Executive Officers (CEO) of firms...
We are interested in the relationship between the compensation of Chief Executive Officers (CEO) of firms and the return on equity of their respective firm, using the dataset salary.xlsx. The variable salary shows the annual salary of a CEO in thousands of dollars, so that y = 150 indicates a salary of $150,000. Similarly, the variable ROE represents the average return on equity (ROE)for the CEO’s firm for the previous three years. A ROE of 20 indicates an average return...
We are interested in the relationship between the compensation of Chief Executive Officers (CEO) of firms...
We are interested in the relationship between the compensation of Chief Executive Officers (CEO) of firms and the return on equity of their respective firm, using the dataset below. The variable salary shows the annual salary of a CEO in thousands of dollars, so that y = 150 indicates a salary of $150,000. Similarly, the variable ROE represents the average return on equity (ROE)for the CEO’s firm for the previous three years. A ROE of 20 indicates an average return...
We are interested in the relationship between the compensation of Chief Executive Officers (CEO) of firms...
We are interested in the relationship between the compensation of Chief Executive Officers (CEO) of firms and the return on equity of their respective firm, using the dataset below. The variable salary shows the annual salary of a CEO in thousands of dollars, so that y = 150 indicates a salary of $150,000. Similarly, the variable ROE represents the average return on equity (ROE)for the CEO’s firm for the previous three years. A ROE of 20 indicates an average return...
Q6). We are interested in exploring the relationship between the weight of a vehicle and its...
Q6). We are interested in exploring the relationship between the weight of a vehicle and its fuel efficiency (gasoline mileage). The data in the table show the weights, in pounds, and fuel efficiency, measured in miles per gallon, for a sample of 12 vehicles. Weight Fuel Efficiency 2710 24 2550 24 2680 29 2720 38 3000 25 3410 22 3640 21 3700 27 3880 21 3900 19 4060 21 4710 16 Part (a) Graph a scatterplot of the data. Part...
We are interested in exploring the relationship between the weight of a vehicle and its fuel...
We are interested in exploring the relationship between the weight of a vehicle and its fuel efficiency (gasoline mileage). The data in the table show the weights, in pounds, and fuel efficiency, measured in miles per gallon, for a sample of 12 vehicles. Weight Fuel Efficiency 2710 24 2570 27 2620 29 2750 38 3000 23 3410 24 3640 21 3700 27 3880 22 3900 19 4060 18 4710 15 e.) What percent of the variation in fuel efficiency is...
We are interested in exploring the relationship between the weight of a vehicle and its fuel...
We are interested in exploring the relationship between the weight of a vehicle and its fuel efficiency (gasoline mileage). The data in the table show the weights, in pounds, and fuel efficiency, measured in miles per gallon, for a sample of 12 vehicles. Weight Fuel Efficiency 2715 26 2520 24 2630 29 2790 38 3000 23 3410 25 3640 21 3700 27 3880 21 3900 19 4060 21 4710 15 Part (b) r = -0.71 (correlation coefficient). Yes, it is...
We are interested in exploring the relationship between the weight of a vehicle and its fuel...
We are interested in exploring the relationship between the weight of a vehicle and its fuel efficiency (gasoline mileage). The data in the table show the weights, in pounds, and fuel efficiency, measured in miles per gallon, for a sample of 12 vehicles. Weight Fuel Efficiency 2670 25 2570 24 2630 29 2760 38 3000 25 3410 24 3640 21 3700 26 3880 21 3900 18 4060 18 4710 17 Find the correlation coefficient. Find the equation of the best...
Data We are interested in exploring the relationship between the weight of a vehicle and its...
Data We are interested in exploring the relationship between the weight of a vehicle and its fuel efficiency (gasoline mileage). The data in the table show the weights, in pounds, and fuel efficiency, measured in miles per gallon, for a sample of vehicles. Note the units here are pounds and miles per gallon. Weight (pounds) Fuel Efficiency (miles per gallon) 2695 25 2510 27 2680 29 2730 38 3000 25 3410 23 3640 21 3700 27 3880 21 3900 19...
We are interested in exploring the relationship between the weight of a vehicle and its fuel...
We are interested in exploring the relationship between the weight of a vehicle and its fuel efficiency (gasoline mileage). The data in the table show the weights, in pounds, and fuel efficiency, measured in miles per gallon, for a sample of 12 vehicles. g.)For the vehicle that weighs 3000 pounds, find the residual (y − ŷ). (Round your answer to two decimal places.) _________ I.)Remove the outlier from the sample data. Find the new correlation coefficient and coefficient of determination....
We are interested in examining the relationship between the number of calories people consume and weight....
We are interested in examining the relationship between the number of calories people consume and weight. We randomly selected 200 people and presented the data with explanatory (x) variable being the calories consumed and the response (y) variable being their weight. Regression analysis will be good for this problem because it helps us find trends in data and quantify the results. It can also help us make predictions about data. So as long as the requirements are met for inference...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT