#### Analyze nestle csr initiative plan focuses on society issues

This is a CSR project, and choose to nestle as our company Note: Please give answer on mentioned words (must add intext citation) and required

*Please thoroughly answer the following questions:*

**Question 1. Quantifying the Effects of Pfizer/BioNTech Vaccine**

*Question 1A*. Find the number of people living in nursing homes in the USA.

*Question 1B*. Find the number of Sars-Cov-2 related deaths among nursing home residents in the USA since the start of the Covid-19 pandemic.

*Question 1C*. What is the effect of the Pfizer/BioNTech vaccine on the likelihood of catching a Covid-19 infection?

- To answer this question, use the Phase III randomized controlled trial results for the Pfizer/BioNTech vaccine.
- Discuss the percentage-point effect.
- Discuss the percent effect.
- Articulate the effect size. For example, if 1,000,000 people are given the vaccine: (1) How many fever infections would happen?

*Question 1D*. If 100% of nursing home residents are given the Pfizer/BioNTech vaccine:

- How many lives would be saved?
- How many life years would be saved?
- Find out how many years the average nursing home resident is expected to live.

- What is the dollar value of life-years saved?
- How many hospitalizations due to covid could be avoided?
- Estimate the cost-savings due to prevented covid-19 hospitalizations.

**Question 2. Quantifying the Effects of Primary Care Availability **

**Table I: The Impact of “ Primary Care Availability” on Logarithm of Mortality Rates**

| (1) | (2) | (3) | (4) |

| Log All-Age Mortality Rate | Log Infant Mortality Rate | Log Child Mortality Rate | Log Elderly Mortality Rate |

Primary Care Clinic | -0.058 | -0.153 | -0.062 | -0.053 |

| (0.028) | (0.066) | (0.077) | (0.025) |

Standard errors are in parenthesis. (N=800)

The independent variable, *Primary Care Clinic*, is a dummy variable. Using county-level annual data, the analysis tests what happens to mortality rates for the associated age group.

Dependent variables are the following:

- All-Age Mortality = (Total deaths)/(Population)*1000
- Infant Mortality = (Deaths in the first 12 months of age)/(Total Births) *1000
- Child Mortality = (Deaths between the ages 1 and 4)/(Population between ages and 1 4) *1000
- Elderly Mortality = (Deaths among people older than 65)/(Population older than 65)*1000

In the analysis, all dependent variables are converted to the natural logarithm. Each column heading corresponds to the associated dependent variable.

Use information from Table 1 to answer the questions.

*Question 2A*. Interpret each coefficient considering its statistical significance.

*Question 2B*. Provide the 95% confidence interval in each case.

*Question 2C*. Is the effect size in column 4 economically significant?

*Question 2D*. Using actual infant mortality statistics in Connecticut, simulate how many infants/babies (ages 0 to 12 months old) would be saved because of a potential primary clinic expansion? (Hint: you need to refer to the mean value of infant mortality rate and the number of infants dies each year).

*Question 2E*. Using actual infant mortality statistics in Connecticut, simulate the 95% confidence interval for how many infants/babies (ages 0 to 12 months old) would be saved because of a potential primary clinic expansion?

*Question 2F*. Find an estimate of the value of life per year.

*Question 2G*. Estimate the dollar value of saved infant lives.

*Question 2H*. Estimate the 95% confidence for the dollar value of saved infant lives.

Our customer support team is here to answer your questions. You can send Assignments directly to support team.

👋 Hi, how can I help?