Question
Airbnb Case- Assignment 2 Airbnb is an internet firm that helps travelers discover and book unique accommodations offered by hosts around the world, with a
Airbnb Case- Assignment 2
Airbnb is an internet firm that helps travelers discover and book unique accommodations offered by hosts around the world, with a room or house available for short-term rental.
As of 2016, Airbnb offers more than 3 million listings in over 65,000 cities and nearly 200 countries and is valued at $30 billion.
Some local governments have deemed Airbnb as illegal or subjected it to severe local restrictions. Imagine a city, where listing homes on Airbnb was illegal due to concerns that it is raising home values and making ownership unaffordable, now decides to allow the firm to operate as long as it pays travel taxes.
To grow in local marketplace, Airbnb hires you to come up with a plan and execute it.
You run two studies in the Eugene, Oregon Market. The first study is a customer study and the second study is a host study.
Based on your reading of the case and the model estimates presented in this document, please answer the following questions.
Questions:
1. List each statistically significant predictor of a travelers likelihood to book on Airbnb (P-value < .10) (15 points)
2. Provide a brief description of what may cause a significant statistical relationship for each variable (15 points)
3. What would be your plan of attack to attract travelers to Eugene to book on Airbnb? (20 points)
4.List each statistically significant predictor of Hosts likelihood to remain on Airbnb (P-value < .10) (15 points)
5. Provide a brief description of what may cause a significant statistical relationship for each variable (15 points)
6. What would be your plan of attack to entice Hosts/Owners to list accommodations on Airbnb? (20 points)
Customer Study
Data from 3000 customers.
Table 1:Description of Variables
Variable | Description |
Email_25 | Promotion of $25 off on Airbnb (1), no promotion(0) |
Email_Taxi | Promotion of free transportation from the airport to Eugene destination booked (1), no free transportation (0) |
Base Case | Welcome email from Airbnb with a 30-second video of Eugene |
Use *mail(1) | |
Yahoo | Use Yahoo mail (1) |
Edu | Have a .edu email (1) |
AlaskaFF | Alaska account status :1-not a frequent flier, 2-frequent flier member, 3-MVP frequent flier member |
Address | 1-out of state, 2-Oregon but not Eugene or Springfield, 3-Eugene or Springfield |
Age | Customers Age |
Tickets | Number of Tickets booked on itinerary |
Round Trip | Roundtrip departing Eugene in less than 14 days (1), one way to Eugene (0) |
Table 2:Customer Model Results
Variable | Coefficients | Standard Error | T-Values | P-Values |
(Intercept) | -0.74 | 0.40 | -1.86 | 0.06 |
Email_25 | 0.60 | 0.14 | 4.38 | 0.000 |
Email_Taxi | 0.22 | 0.14 | 1.53 | 0.13 |
0.29 | 0.14 | 2.11 | 0.04 | |
Yahoo | -0.17 | 0.18 | -0.97 | 0.33 |
Edu | 0.52 | 0.19 | 2.79 | 0.005 |
AlaskaFF | 0.29 | 0.11 | 2.56 | 0.01 |
Address Oregon Vs out of state | -0.34 | 0.13 | -2.70 | 0.007 |
Address Eugene/Springfield Vs out of state | -1.57 | 0.15 | -10.28 | 0.000 |
Age | -0.05 | 0.007 | -7.11 | 0.000 |
Tickets | -0.04 | 0.05 | -0.68 | 0.50 |
Round Trip | 0.47 | 0.21 | 2.30 | 0.022 |
Host Study
Data from 400 hosts.
Table 3: Description of Variables
Variable | Description |
Choice | If the accommodation is still listed on Airbnb, Yes(1), No(0) |
Length | How long they were on Airbnb in days |
Type_Hm | Listing type: 0=shared room or private room, 1=entire home |
Guests | Number of guests the listing accommodates |
Zestimate_K | Zillow (real-estate marketplace) estimate of property value in thousands of dollars |
ListPrice | Average listing price on Airbnb per night |
Rating | Average rating by Airbnb guests |
Rev_AbB | Revenue generated in one year for Airbnb via its property fee |
Location | 1= campus to downtown to whitakar, 2=Fairmont to Amazon to south Eugene Hills, 3=Friendly to west Eugene, 4=North Eugene, 5= Springfield, 6= other outskirt locations (base case) |
Table 4: Host Model Results
Variable | Coefficients | Standard Error | T-Values | P-Values |
(Intercept) | -3.214 | 1.084 | -2.964 | 0.003 |
Length | 0.002 | 0.001 | 2.138 | 0.033 |
Type_Hm | 0.638 | 0.448 | 1.424 | 0.154 |
Guests | -0.246 | 0.114 | -2.159 | 0.031 |
Zestimate_K | -0.001 | 0.003 | -0.346 | 0.729 |
List Price | -0.001 | 0.004 | -0.209 | 0.835 |
Rating | 0.695 | 0.173 | 4.019 | 0 |
Rev_AbB | 0.002 | 0.001 | 2.455 | 0.014 |
Loc_1 | -0.035 | 0.494 | -0.07 | 0.944 |
Loc_2 | 0.984 | 0.527 | 1.869 | 0.062 |
Loc_3 | 0.962 | 0.578 | 1.665 | 0.096 |
Loc_4 | 1.016 | 0.522 | 1.946 | 0.052 |
Loc_5 | 0.889 | 0.535 | 1.661 | 0.097 |
Loc_6 (base Case) |
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