Research Report Collocation Assignment
This is a collocation provision where you can fruit unmatched or delay up to filthy other students (a apex collocation bigness of four). All collocation members gain admit the corresponding impressions for the provision. You must acquiesce an electronic copy of your provision in Canvas in pdf, doc or docx format. Hard copies gain not be not spurious. Show your boards and calculations as polite as correspondent the topics in generous sentences. Please execute trusting your boards of outcomes are gracefully formatted, not fair copied and pasted from STATA, and that you transcribe your apologys in transparent sentences. You should transcribe no over than 1000 language (not including boards/calculations) in whole for this provision. The reckon of language, boards, graphs, calculations absorbed in parentheses following each topic are a pilot.
This provision uses basis from the BUPA soundness shelter seduce centre. Each study grasps basis from one seduce to the seduce centre. The waverings narrate different characteristics of the seduce (eg the protraction of the seduce, the whole of hush in the seduce), characteristics of the customer (eg say of pernoctation, source pattern, reckon of adults and end), and measures of enterpmelt (eg net maintainer beak, opinion beak of the customer). In this provision we are animated in foretelling the net maintainer beak and the protraction of the seduce.
Please use the basisset CallCentre.dta and associated advice polish CC_DEFINITIONS_.XLSX to apology these topics. Use the software program STATA 15 profiboard through RMIT MyDesktop for all basis resolution.
1. Calculate drawd statistics using the ‘summarize’ charge for the waverings net_promoter_score, whole_silence, whole_silence_weighted, agent_to_cust_index and agent_crosstalk_weighted and give the outcomes in a board. Note on what we comprehend about these waverings from the drawds. Graph a disseminate devise of net_promoter_beak opposite agent_crosstalk_weighted and narrate the interconnection between these two waverings.
(4.5 impressions) (100 language, 1 board, 1 graph)
2. Estimate a multiple straight retreat delay net_promoter_beak as the hanging wavering and whole_silence_weighted, agent_to_cust_index and agent_crosstalk_weighted as the explanatory (independent) waverings. Foretell the vary in net_promoter_beak associated delay a 0.1 growth in whole_silence_weighted and a 0.01 growth in agent_crosstalk_weighted. Assuming this is the improve intention mention, are we trusting that whole_silence_weighted has a disclaiming commodities? [Hint: opine the t-statistic and p-value]
(6 impressions) (50 language, 1 board, 2 calculations)
3. Add dummy waverings to the retreat to administer for all of the germinative commoditiess of Say and Package. Execute trusting the sordid condition is customers delay the “HOSPITAL AND EXTRAS” lot in NSW. Carefully illustrate the estimated coefficient on the lot1 dummy wavering you accept interposed. Why is this NOT a very grave outcome?
[Hint: Use the wavering labels to grasp and illustrate the improve waverings, opine the drawd statistics of the dummy waverings to illustrate their concern]
(4.5 impressions) (50 language, 1 board)
4. Grasp a quadratic mention of the wavering “sentiment_score_cust” in the intention concurrently delay the bulky explanatory waverings. Calculate and illustrate the final commodities of a 1 top vary in “sentiment_score_cust” when opinion_score_cust = 1 and when opinion_score_cust=4.
(4.5 impressions) (50 language, 1 board, 2 calculations)
5. Illustrate the stingy average anarchy certainty and assess its unarm-an delay deference to the explanatory wavering “sentiment_score_cust”.
[Hint: Fancy about factors that may be interposed in the falsity message of the retreat: the customer’s proof delay the community (actual or disclaiming), the open composition of the customer towards seduce centre conversations (actual or disclaiming) and whether these may be correlated delay opinion_score_cust]
(3 impressions) (100 language)
6. Transcribe an executive summary of the findings in topics 2 to 5 on what waverings are mitigated and are not mitigated to be grave drivers of net maintainer beak.
(1.5 impressions, 100 language)
“The melt in temper decrement of ahead growing developing countries, in-particular China and India, has entiretyityed for the boundhither eldership of the global growth in temper use in new years. Non-OECD countries currently entiretyity for almost 60% of global temper insist, which is foretelled to melt to 70% by 2040 (International Temper Agency, 2014). This increasing temper use exacerbates environmental problems including global latitude vary due to greenhouse gas emissions and topical environmental problems such as the new episodes of extravagant air stain in Beijing and other Chinese cities. Besides its environmental impacts, increasing temper use besides raises topics of national temper afford shelter. As the divide of globe temper use consumed in developing countries growths, it is increasingly grave to comprehend how temper use evolves opposite the generous pay continuum from hither exposed to exceedingly exposed countries (van Ruijven et al., 2009).” Csereklyei and Stern (2015) page 633.
In this separate of the settlement provision we gain be exploring the drivers of whole and sectoral temper use opposite different exposed and developing countries. Please use the basisset: “energy_econometrics_data_SIM2060.dta”
7. Countries accept a sensitive share in exploring the drivers of their sectoral temper decrement, including ELECTRICITY USE IN INDUSTRY. Please scrutinize the log final ELECTRICITY use by INDUSTRY per capita “ln_elec_indus_pc”.
a) Model Design
Present the results of the drawd statistics in a Board (1) .
Design TWO retreat intentions to foretell ““ln_elec_indus_pc”.
(1) One delay a straight per capita GDP message (or its logs) [Model 1],
Presentation of boards and intention adequacy: cull which explanatory waverings to grasp, and whether to grasp them as dummies/ logs/ polynomials/ interactions as you affect misspend. (2 impressions)
Interpret the coefficients including dummies, elasticities or semi-elasticities (1 impression)
Interpret the statistical perception of these coefficients (1 impression)
(Subtotal: 4 impressions)
(2) one delay a quadratic per capita GDP message (or its log) [Model 2].
Presentation of boards and intention adequacy: cull which explanatory waverings to grasp, and whether to grasp them as dummies/ logs/ polynomials/ interactions as you affect misspend. (1 impression)
What are the superior differences compared to intention 1? (1 impression)
Which intention do you fancy is over misspend (reckon 1 or 2)? How do you illustrate the quadratic intention? (2 impressions)
(Subtotal: 4 impressions)
a) Discuss how you accept prepared your intention delay allusion to the “Gauss Markov” certaintys and whether these certaintys are mitigated to be met. (2 impressions)
Interpret the outcomes of THREE of your explanatory waverings including pay per capita, which you opine to be the key drivers of per capita industrial electricity decrement. (3 impressions)
(Total: 14 impressions) (550 language, 3 boards, 4 calculations)
There gain be up to 2 appended impressions awarded for giveation of your apologys (graceful formatting of boards and transparent look of apologys in generous sentences).
Rubric for impressioning
|1. Described statistics A) Give drawd statistics board, B) note on drawds, C) give and note on graph.||4.5 pts (1.5 impressions each)|
|2. Multiple straight retreat A) Estimate retreat intention, B) give board, C) two foretellions, D) note on whole_silence_weighted commodities||6.0 pts (1.5 impressions each)|
|3. Dummy waverings A) Grasp dummy waverings improvely, B) Note on lot1 coefficient C) Why not an grave outcome||4.5 pts (1.5 impressions each)|
|4. Quadratic Mention A) Grasp quadratic mention improvely and give outcomes in board. B) Calculate final commodities when opinion_score_cust=1 C) Calculate final commodities when opinion_score_cust=4||4.5 pts (1.5 impressions each)|
|5. Stingy average anarchy A) Illustrate stingy average anarchy certainty. B) Discuss delay allusion to the wavering "sentiment_score_cust"||3.0 pts (1.5 impressions each)|
|6 .Executive Summary||1.5 pts|
|7. a Intention intention A) Described statistics board (1 pt) B) Straight intention delay senses (4 pts) Quadratic intention delay sense (4 pts)||9 Pts|
|7. b Intention intention A) Discuss Gauss_Markov certaintys 1-3 B) Discuss Gauss_Markov certaintys 4-5 C) Prediction 1 D) Prediction 2 E) Prediction 3||5.0 Pts|
|8. Graceful formatting of boards||1.0 pts|
|9. Transparent look of apologys in generous sentences||1.0 pts|
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