Category: Economics

Journal objective: Auctions can be an important tool for selling/buying goods an

Journal objective: Auctions can be an important tool for selling/buying goods an

Journal objective: Auctions can be an important tool for selling/buying goods and gathering information. Auctions are used in multiple venues including agriculture, eBay, and distressed asset sales. The seller does not have to worry about estimating demand and setting a price because the demanders will do that through the auction process. Length: Your submission is required to be at least 2-pages in length and not more than 5 pages, not including the title page and references. References: A minimum of 3 peer-reviewed references are required. APA formatting is required be used for citations and references. Use this definition to define the term in the instructions. Definitions: Scholarly journals are sometimes called academic journals. The terms are often used interchangeably to describe the same type of publication. These types of publications are published by universities, academic institutions, professional associations, and commercial enterprises and are compiled by scholars, academics, and other subject authorities. Details: Write a journal response examining the value of auctions in the economy by addressing the following items: Introduction Explain the difference between oral auctions and second-price auctions, including how they work and their results. Use the expected value information to illustrate how having more bidders in an oral auction will likely result in a higher winning bid. Explain how the number of bidders in a common value auction affects the outcome of the auction. Relate this to the effect on price in different market structures based on the number of producers. Auctions lead to outcomes where buyers reveal their value for the products being auctioned. To successfully price discriminate, firms often rely on buyers revealing their value for products. Explain the conditions necessary for firms to be able to price discriminate. Conclusion Please include Graphs, Charts, Data Examples where you see fit

Context: Introduce how recent U.S. immigration policies have tightened, affecti

Context: Introduce how recent U.S. immigration policies have tightened, affecti

Context: Introduce how recent U.S. immigration policies have tightened, affecting sectors that rely on immigrant labor, with a special focus on agriculture.
Objective: To analyze how these policies have created labor shortages, increased costs, and supply chain disruptions in the agriculture sector, and to explore the broader economic consequences.
Slide 2: Overview of Stricter Immigration Policies
Key Policy Changes:
Outline recent immigration policy shifts impacting agricultural labor, such as changes to H-2A visa processes, increased border enforcement, and stricter employment verification.
Theoretical Framework: Introduce labor economics theories related to supply and demand, wage equilibrium, and productivity to set the foundation.
Visual Aid: Present a timeline showing the implementation of these policies alongside changes in the agricultural workforce.

I have done my internal assessment on a tax in Sweden. the teacher has given me

I have done my internal assessment on a tax in Sweden. the teacher has given me

I have done my internal assessment on a tax in Sweden. the teacher has given me feedback. please correct and do the feedback to a HIGH STANDARD. this is an International Baccalaureate higher level economics internal assessment. it must be a maximum of 800 words (minus commentary 1) please do not exceed the word limit. just correct the feedback given and apply it but do it to a level 7 standard.

We will run an out-of-sample experiment to see how well cross-validated lasso pe

We will run an out-of-sample experiment to see how well cross-validated
lasso pe

We will run an out-of-sample experiment to see how well cross-validated
lasso performs. First, draw a random sample of size n = 8, 000 from the original 10, 000
observations, without replacement. We will refer to these observations X1, . . . , Xn and
Y1, . . . , Yn as the “estimation” sample. We will refer to the remaining m = 2, 000
observations Xn+1, . . . , Xn+m and Yn+1, . . . , Yn+m as the “holdout” sample.
Question 1.
Run 5-fold cross-validated lasso of log(yspend) on xweb on the estimation sample of n = 8, 000 observations. Report a plot of the out-of-sample
cross validation error as a function of λ (you can use the plot command on the
cv.gamlr object as in the lecture notes).
Please using R software and provide the related code file