I’m working on a Management exercise and need support.

• Read Chapters 9, 11 and 12 of Macroeconomics: Private and Public Choice.

There are two parts to this discussion.

Part 1

In your own words define and explain fiscal policy. List the pros and cons for the fiscal policy you selected. Include supply-side economics in your explanation. As you think through your answer, remember the government may exercise expansionary or restrictive fiscal policy.

Part 2

Research one specific real-life example of a fiscal policy and explain its overall impact on the economy. In your example, discuss any political influences.

Note: when possible, select a different example than those already posted by a fellow classmate.

Discussion 2

Prior to beginning work on this discussion,

• Read Chapter 11 of Macroeconomics: Private and Public Choice.
• Read Chapter 4 of Popular Economics: What the Rolling Stones, Downton Abbey, and LeBron James Can Teach You About Economics.

Let’s cordially debate a controversial and often misunderstood macroeconomic topic. Our huge U.S. government debt (see the latest debt being counted at U.S. Debt Clock (Links to an external site.)) continues to grow and is constantly in the news.

For your initial post address the following:

• Is the large and increasing national debt an issue we should be concerned about?
• How does John Tamny view the national debt? What is your conclusion? Is this a problem, why or why not? Be sure to support your conclusion with facts.

1. Explain the type of strategy that an optimistic manager would select for her company. 
2. Explain the type of strategy that a pessimistic manager would take for his company.
3. Compare strategic plans and tactical plans.
4. List and explain four common organization development (OD) techniques.

250 WORDS TOTAL. 2 APA CITED REFERNECES AND REFERENCE LIST. NO PLAGIARISM.

5.Discuss the benefits and drawbacks to a “work from home” model and how you would convince employees that have enjoyed this model during the COVID lockdown to return to an office/business model that requires them to be at work every day. 

For this project, we’re going to use cluster analysis to “tell a story” about our data. I’m asking you to divide the Oregonians in your sample into groups or clusters based on two quantitative variables. Your “story” will be an explanation of your data that highlights some interesting feature(s) or makes a point about the data.

Please note this project will likely take some trial and error. Please relax into it and have some fun with the process: think of it as an exploration. Trial and error is the spice of life!

You will begin by opening a small data set. If you don’t have a data set of your own you’d like to explore, I recommend taking a random subset of the OregonPUMS_data. You will take a small subset of this data (I recommend n=400, so as not to upset XLSTAT too much: some clustering algorithms grind to a halt with large data sets).

Note that “Weight,” just like last time in project 1, is probably not what you think it is! I’m not forbidding “weight” but realize you’ll have to do a bunch of research about what “weight” is in order to write about it well and get credit!

Process:

Step 1: Select your sample of n=400. Lucky for us, XLSTAT is quite good at taking a random sample. Check out: Simple Random Sampling in XLSTAT ; alternatively there are several tutorials online for taking a random sample with regular excel.

Step 2: Choose two QUANTITATIVE variables that you would like to work with. Copy and paste your two variables and their corresponding sampled data (there should be 400 rows of data, two columns) into a new sheet. I prefer to do this so that I am not overwhelmed by variables that I am not using. Next, remove any rows with missing observations. This will save time later when you go to plot your clusters.

For the following steps, be sure that you have installed the XLSTAT add-in. Click on the XLSTAT tab on the top of your Excel sheet.

Step 3: Use different options in the software to create 5 different “data stories”: if you’re overwhelmed about what to pick, you can use these options:

*Scatterplots will have to be created separately using the Results by Object output. Under the colors tab, use whatever colors you would like, but be sure they are bold and distinct. For example, it would be a bad idea to use white or both red and red-orange.

Step 4: Write up your project! Which clustering method out of the five did you prefer? Why?

For your final report, compare and contrast each of the five clustering methods. You may choose to use your XLSTAT output or use Tableau/other software to make a prettier graph. Tell your story using your preferred clustering method, and how the clustering supports that story. Who are these groups? What does this clustering tell us about the people in Oregon? How could a business or entrepreneur use their understanding of this clustering story to further their goals?

Rubric for Project (40 points)

Maximum 5 points total if your variables are not quantitative! You must have two quantitative variables!

15 points: at least 5 different scatter plot graphs, all using the same basic variables (Step 1) but different clustering choices (Step 3). Data process and data product both discussed, particularly for Method 5. Clusters must vary, and at least one method shouldn’t be “just stripes,” e.g. both variables should matter.

10 points: your narration of the progression of your thinking (data process story).

5 points: Instructor’s subjective take on the product story. Was it gripping, interesting, well done?

5 points: graph conventions, labels, etc.

5 points: conventions: correct punctuation, sentences, etc.

Data Note: Be careful about the “Person’s Weight” variable. This does not mean “how much this person weighs” it means “how much weight to assign this person’s answers.” If you’re curious (not required) you can read about statistical weighting here: http://www.applied-survey-methods.com/weight.html (Links to an external site.).

https://help.xlstat.com/s/article/agglomerative-hi…

https://help.xlstat.com/s/article/k-means-clustering-in-excel-tutorial?language=en_US (Links to an external site.)

https://help.xlstat.com/s/article/scatter-plot-with-confidence-ellipses-in-excel?language=en_US

Please go to https://angusreid.org/ and read the latest Angus Reid Canadian national poll with the headline: Quitting Time? Nearly half who prefer to work from home would look for a new job if forced back post-pandemic

link- https://angusreid.org/work-from-home-return-to-wor…

Questions: Is this poll truly reflecting what employees really think, or it is what they “wish,” or are they just kidding themselves, that employers will call the shots and employees better toes the tine, or quit!

what to do about workers who don’t want to go back?

HERE IS A TASTE:

The last thing that many Canadians working from home may wish to think about at this midpoint of summer is returning to the office. Their employers, on the other hand, may well be thinking of little else.

A new study from the non-profit Angus Reid Institute finds some Canadians pushing back on the idea of returning to work onsite, to the point where many would leave their job if asked.

The future is also a source of fissure. What would those Canadians who want to continue working from home do if they were asked to return to the office? This condition has the potential to create some tension in employer-employee relationships in the coming months. While two-in-five say they would return to work at the office full time without much issue, 25 per cent say they would go back begrudgingly and likely start looking for another job. One-in-five say they would lean toward quitting immediately.

rubrics:

Depth of participation and critical thinking

Your participation consistently provides original and critical thinking, use of references to support positions where required, and respectful questioning of discussion topics. THIS IS NOT A CUT-AND-PASTE exercise from other sources. Personal experiences are encouraged from work and student life.

Grammar, courtesy, and respect

Postings must be professional, accurate grammar and spelling, and devoid of slang or acronyms that have no meaning. Postings must be courteous and respectful to other students as well as opinions of all groups and organizations.