Question
Question #1 Excel Users The dataset provides some information about hospitals in 2011 and 2012, download the data and then complete the descriptive table. Please
Question #1 Excel Users
The dataset provides some information about hospitals in 2011 and 2012, download the data and then complete the descriptive table. Please answer the following questions.
- In term of hospital characters what are the significant difference between 2011 and 2012?
- In terms of socio-economic variables what are the significant difference between 2011 and 2012?
To report the "Per Capita Hospital Beds to Population", you need to divide "total_hospital_beds/ tot_population)
- Based on your findings in which years hospitals had better performance? How hospital performance related to hospital characteristics and socio-economic characteristics? Please write at least three main different movements between 2011 and 2012.
Table 1. Descriptive statistics between hospitals in 2011 & 2012
2011 | 2012 | p-value | |||||
N | Mean | St. Dev | N | Mean | St. Dev | ||
Hospital Characteristics | |||||||
1. Hospital beds | 100 | 150 | 0.004 | ||||
2. Number of paid Employee | |||||||
3. Number of non-paid Employee | |||||||
4. Internes and Residents | |||||||
5. System Membership | |||||||
6. Total hospital cost | |||||||
7. Total hospital revenues | |||||||
8. Hospital net benefit | |||||||
9. Available Medicare days | |||||||
10. Available Medicaid days | |||||||
11. Total Hospital Discharge | |||||||
12. Medicare discharge | |||||||
13. Medicaid discharge | |||||||
Socio-Economic Variables | |||||||
14. Per Capita Hospital Beds to Population | |||||||
15. Percent of population under poverty | |||||||
16. Percent of Female population under poverty | |||||||
17. Percent of Male population under poverty | |||||||
18. Median Household Income |
Question #2 and Excel Users
Use the dataset and then answer the following questions:
- Compare the following information between for-profit and non-for-profit hospitals.
- What are the main significant differences between for-profit and non-for-profit hospitals? Which test is the best fit test? Why?
- Use a box-plot and compare Hospital net benefit between for-profit and non-for-profit hospitals.
- Show another scatter plot and compare hospital cost (x-axes) and revenue (y-axes) and discuss your findings?
- Comparing hospital net-benefit which hospitals has better performance? To answer this question first compute the hospital net benefits with subtracting hospital costs and revenues and then use ttest to compare the significant differences between FP and NFP hospitals.
- Overall, what are the main significant differences between for-profit and non-for-profit hospitals?
Table 2. Descriptive statistics between FP & NFP
For Profit | Non-For-Profit | p-value | |||||
N | Mean | St. Dev | N | Mean | St. Dev | ||
Hospital Characteristics | |||||||
1. Hospital beds | |||||||
2. Number of paid Employee | |||||||
3. Number of non-paid Employee | |||||||
4. Internes and Residents | |||||||
5. System Membership | |||||||
6. Total hospital cost | |||||||
7. Total hospital revenues | |||||||
8. Hospital net benefit | |||||||
9. Available Medicare days | |||||||
10. Available Medicaid days | |||||||
11. Total Hospital Discharge | |||||||
12. Medicare discharge | |||||||
13. Medicaid discharge | |||||||
Socio-Economic Variables | |||||||
14. Per Capita Hospital Beds to Population | |||||||
15. Percent of population under poverty | |||||||
16. Percent of Female population under poverty | |||||||
17. Percent of Male population under poverty | |||||||
18. Median Household Income |
Question #3 Excel Users
The dataset provides Herfindahl-Hirschman Index for health insurance market, please use the herf_ins variable and answer the following questions:
For this exercise you do not need to compute the HHI, but if you have any questions, please do not hesitate to ask me, but try to learn more about this you will need that to report your findings.
Please remember for the class exercise you used the herf_cat as a hospital Herfindahl index. For this question make sure to use herf_ins as Herfindahl index for insurance market.
Use the final exam dataset and then answer the following questions:
- In a short paragraph explain the Herfindahl index you can use the reference provided in the class exercise or any other citation.
- Compare the following information between hospitals located in high, moderate and low competitive health insurance markets?
- 2.1. What are the main significant differences between hospitals in different markets? (use Anova test)
- 2.2. What is the impact of being in high-competitive health insurance market on hospital revenues and cost?
- 2.3. Do you think being in high-competitive market has positive impact on net hospital benefits?
- 2.4. What about the number of Medicare and Medicaid discharge? Do you think hospitals in higher completive market more likely to accept more Medicare and Medicaid patients?
- 2.5. What is the impact of other variables?
(Note: to answer to the last question, please compute the ratio-Medicare-discharge and ratio-Medicaid-discharge first and then run 2 ttest) high vs. moderate and high vs. low competitive market), please support your findings with box-plot).
Table 3. Comparing hospital characteristics and market
High Competitive Market | Moderate Competitive Market | Low Competitive Market | ANOVA/Chi-Sq (results) | |||||||
Hospital Characteristics | N | Mean | STD | N | Mean | STD | N | Mean | STD | |
1. Hospital beds | ||||||||||
2. Number of paid Employee | ||||||||||
3. Number of non-paid Employee | ||||||||||
4. Internes and Residents | ||||||||||
5. System Membership | ||||||||||
6. Total hospital cost | ||||||||||
7. Total hospital revenues | ||||||||||
8. Hospital net benefit | ||||||||||
9. Available Medicare days | ||||||||||
10. Available Medicaid days | ||||||||||
11. Total Hospital Discharge | ||||||||||
12. Medicare discharge-ratio | ||||||||||
13. Medicaid discharge-ratio | ||||||||||
Socio-Economic Variables | ||||||||||
14. Per Capita Hospital Beds to Population | ||||||||||
15. Median Household Income |
Computation of the p-Value for the Two-Sample t Test for Independent Samples with Equal Variances Compute the test statistic: X1 - X2 1= 1 1 S + n2 where s= (n, - 1)$7 + (n2 - 1)$3](m, + 12 - 2) If t s 0, p = 2 x (area to the left of t under a t, +n, -2 distribution). If t > 0, p = 2 x (area to the right of t under a t, +n, -2 distribution).Computation of the p-value for the two-sample t test for independent samples with equal variances 0.4 0.3 (m +m-2 distribution Frequency 0.2 0.1- P/2 0.0 t 0 Value If t = (71 - $2)/s n2 SO, then p = 2 x (area to the left of t under a t, + 2-2 distribution). 0.4 (m + 2-2 distribution 0.3 Frequency 0.2 0.1 P/2 0.0 0 t Value If t = (7 1 - $2) / 5 7 12 1 + 1\\> 0, then p = 2 x (area to the right of t under a to + 2-2 distribution)
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started