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MHA-Regulation and Policy in Healthcare- Week Project

Please follow all instructions and Rubrics COMPLETELY. NO PLAGIARISMPolicy Implementation ActivitiesExploring MedicareThe U.S. created Medicare, a publically-funded healthcare program, to assist people sixty-five years of age and older in obtaining healthcare services.Tasks:Summarize the legislation that introduced Medicare and the funding source for the program.Discuss some of the changes that have occurred in the Medicare program since its inception.Describe the demographics of the population covered by Medicare and identify the number of people in the U.S. covered by Medicare.Assess how changes in Medicare will affect the citizens and legal residents in your state. Include specific demographic information on age, race, income, etc., for your state to justify your response.From the Internet, review the following:Centers for Medicare

Managing during recession.

Managing during recession..

Coursework report (1,500 Words – headings/subheadings format including graphs to explain economic theories applied) analyzing requirements below from an Economic perspective using theories covered within the course (attached slides covered during this module): 

Analysis needs to revolve around a selected product aimed to be sold with a domestic market (selected country) and another global market in which it is exported (another selected country), the analysis needs to be done with respect to the current economy as it stands describing their current economic state. 

Ensure to specify a certain brand of product that is being marketed. 
Example: a brand of TV not the television market as a whole. 

Imagine that you are part of a marketing team of the product (VARIABLE) at company (VARIABLE), which aims at selling this product in the domestic as well as global markets. You are preparing a strategy for this product in the first half of 2018. 
Define the properties of this product and the target markets by using MICRO AND MACROECONOMIC CONCEPTS discussed in lectures (Please see attached) 

Please address the following issues: 

A) What type of good is product (VARIABLE)? What is the price elasticity and income elasticity of your product? What is the cross-price elasticity with respect to complementary and substitute products? 

B) What are the alternative scenarios with regards to the costs of production (marginal costs like labour costs, raw materials, energy)? Consider the macroeconomic expectations for the first half of 2018 and difference scenarios about the macroeconomic developments and the course of the recession. 

C) What is the market structure? What are the possible strategies of your competitors? What will be your strategy with respect to your competitors? 

D) Which market segments and different pricing strategies can you imagine? 

E) Think of the developments in demand in different markets domestically and globally. How will demand develop in these markets? What is the effect of the recession on the demand for your product? How could government policies in different markets affect the demand for your product?

F) Prepare different scenarios about the developments in the currency markets and their effect on the price competitiveness of your company.

Focus:
Please conduct analysis bearing in mind below economic theories:
– Demand/Supply 
– Elasticity 
– Cost of Production
– Revenue and profit
– Market structures and profit under them 
– Macroeconomic environment of business 

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Human Resource Canada

MHA-Regulation and Policy in Healthcare- Week Project Human Resource Canada.

Human Resource Canada 

Paper details The paper should be 825 words long. Human resources management is constantly changing. As societal and technological advances evolve the workplace, human resources management must evolve as well. In many such cases, controversy arises as there are: Canadian laws that compete with each other, or grey areas in the Canadian legal framework. To find such controversy, one does not need to look any further than the news. Novel human resource management issues surface on a weekly basis, and it is essential for HRM professionals to understand how these issues relate to their work. With this in mind, you will complete an “In the News” assignment. In the assignment, you will be presented with two cases based on real news articles that have been published in the past couple years. These cases will be adapted and pseudonyms will be used. You will choose one of these cases to write a response to.

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The student is required to write a 8 page, double spaced, 12pt. font research paper covering a selected topic in the text book. The 8 pages do not include the title, abstract, and resources pages. The student will use at least six sources for research in

The student is required to write a 8 page, double spaced, 12pt. font research paper covering a selected topic in the text book. The 8 pages do not include the title, abstract, and resources pages. The student will use at least six sources for research in.

An example may be found in Canvas in the modules section: Domestic Violence: two views. The topic must be approved by the instructor. Note: if the student desires to have their paper returned, please submit a self-addressed stamped envelope with your paper. Guidelines are as follows. Select a topic of special interest to you that can be evaluated by the psychological information in the text book, and your research sources.

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stovhastic processes

stovhastic processes.

Instructions:
• You MUST comply with Academic Integrity as indicated on the electronic submission. Please note that this is an INDIVIDUAL assignment, not a group assignment. Inappropriate collaboration will be penalized.
• Any data files will be attached to the link provided on the STAT3702/STAT8702 FLOsite under Week 8/Assessment/Assignment 2.
• Your submission should consist of at most 3 files in PDF format with a total size no bigger than 50 MB.
• You can update your submission for unlimited number of times before the due date.
• Refer to the “Statement of Assessment Methods” pdf document on FLO regarding late assignment penalties.
• Medical extension or extension due to compassionate ground may be granted. Only applications with legitimate reasons will be considered.
• Keep a copy of the submission yourself.
Writing Up Your Assignment….
• Answer all questions in this assignment. Questions should be answered in the order they appear.
• MS-Word (or other typesetting software of your choice) may be used in preparing your assignment submission whenever appropriate, which would then being converted into pdf.
• SPSS or R may be used to assist with calculations. Answers must be written in clear English sentences with all appropriate working and/or supporting computer output shown. Raw computer output without explanatory text is unacceptable.
• All graphs and plots must be constructed properly using either SPSS or R. Free-hand sketching will be awarded with no marks.
• Do not include any graphs, plots or tables in the appendix or attachments. Instead, graphs, plots and tables should be resized properly and being included within the appropriate question.
• All workings and intermediate answers must be clearly shown.
STAT3702/8702 Assignments– Sem 2, 2017
page 2
_______________________________________________________________
Note: In all problems, we assume that } { t ω
is a white noise with mean zero and a constant
variance 2ω
σ .
Question 1 [Total: 10 marks]
(a) From a series of length n=100, we calculate the sample autocorrelations as r1 = -0.49, r2 = 0.31,
r3 = -0.21, r4 = 0.11 and |rk | ≤ 0.09 for k > 4. On the basis of this information alone, what
ARIMA model would we tentatively specify for the series ? [5 marks]
(b) Consider an MA(1) process for which it is known that the mean is zero. Based on a series of
length 3, we observe
x1 = 0, x2 = -1, x3 = 0.5
(i) Show that the conditional least squares estimate of θ is 0.5 [3 marks]
(ii) Find an estimate of the noise variance σw
2 [2 marks]
Question 2 [Total: 10 marks]
Suppose that the process {xt } develops according to
xt = xt −4 +ωt , for t > 4,
with xt =ωt for t=1,2,3,4.
Find
(a) the variance function for {xt }, [4 marks]
(b) autocorrelation function for {xt }, [4 marks]
(c) identify the model as a certain seasonal ARIMA model. [2 marks]
Question 3 [Total: 15 marks]
Based on quarterly data, a seasonal model of the form
−4 1 −1 2 −2 = + − − t t t t t x x ω θ ω θ ω
has been fitted to a certain time series.
(a) Find the first four Ψ weights for this model analytically. [5 marks]
(b) Suppose that 0.5, 0.25, 1 1 2 = = − = ω θ θ σ . Find the forecasts for the next four quarters if data for
the last four quarters are
STAT3702/8702 Assignments– Sem 2, 2017
page 3
Quarter I II III IV
Series 25 20 25 40
Residual 2 1 2 3
[5 marks]
(c) Find the 95% prediction intervals for the forecasts in part (b). [5 marks]
Question 4 [Total: 15 marks]
The dataset airpass2017.sav (airpass.dat) shows total monthly air-passenger-miles within the
United States from January 1960 through December 1977.
(a) Specify and estimate the parameters for at least two tentative ARIMA models for the period of
January 1960 to October 1977. Comment on each statistical output to support your tentative
models. [4 marks]
(b) Perform diagnostic checking on the models estimated in part (a), repeat the process in (a) until
you obtain a final model. [4 marks]
(c) Write down your final model in its mathematical form. Interpret the model. [3 marks]
(d) Use the model in (c) to forecast the total monthly air-passenger-miles within the United States in
November and December 1977 respectively, manually and using SPSS or R, including its 95%
confidence interval. [4 marks]
Question 5 [STAT8702 ONLY] [Total: 10 marks]
(a) Consider the ARIMA model
xt =ωt + Θωt −2
Show that the series is invertible for Θ < 1, and find the coefficients π in the representation
= Σ

=

k 0
ωt π k xt k [5 marks]
(b) Consider the ARCH(1) model with a constant mean:
( )
2 1,t-1 ( 2 )
0 1 1
2
1
; | y ~ N 0,
~ N 0, 1
0
t t t t
t t t
a a
y a a
σ α α σ
μ α
α


= +
= +
Show that the model, 2
0 1 −1 = + t t t y y α α ε , where εt
~ N(0,1) and is an independent white noise
series, is equivalent to an ARCH(1) model with 0 mean. [5 marks]
End of Assignment 2

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