In February 2013 a survey on mobile phone purchases was held among 15 to 79 years old owners of a mobile phone in Finland. The participants were randomly sampled from a publicly available phone number directory by setting quotas in the gender, age and region of the respondents. A total of 536 completed interviews were recorded using a computer-assisted telephone interview (CATI) system. The amount of female owners but also 15-24 years old owners were underrepresented in the data while male and 65-79 years old owners were overrepresented in the study compared to the 2012 Finnish official statistics. The respondents answered several questions about the purchase of their current and previous mobile phone and reported also some family characteristics. More details about the survey may be found in Karvanen et al. (2014).
The purchase times are interval censored because only the month and not the day of purchase was asked. In addition, many respondents could not recall the time of purchase. For their current phone, 310 respondents were able to report the month and year of the purchase, an additional 115 were able to provide the season and year and 37 were not able to recall even the year. Out of 517 respondents who answered the questions about their previous phone, 117 were able to report the purchase month and year, an additional 91 were able to report the season and year, 146 provided only the year and 163 were not able to recall even the year. A maximum purchase interval of 200 months is assumed when the purchase year is missing. Three respondents who reported their previous phone to have bought after their current phone, 30 respondents for whom the purchase intervals of their previous and current phone are completely overlapping and 6 respondents who did not report their household size were excluded from the analysis.
The dataset shown here includes 478 respondents who correctly reported to have had a previous phone and have non-overlapping intervals for the purchase times of the previous and current phone.
data(mobile)
a data frame with 478 rows and the following variables
lower limit purchase date of the previous phone.
upper limit purchase date of the previous phone.
lower limit purchase date of the current phone.
upper limit purchase date of the current phone.
numeric lower limit purchase date of the previous phone (0 \(=\) January 1, 1992)
numeric upper limit purchase date of the previous phone.
numeric lower limit purchase date of the current phone.
numeric upper limit purchase date of the current phone.
gender (0 \(=\) male, 1 \(=\) female).
factor
derived from gender
.
age group (1 \(=\) 15-24 years, 2 \(=\) 25-34 years, 3 \(=\) 35-44 years, 4 \(=\) 45-54 years, 5 \(=\) 55-64 years, 6 \(=\) 65-79 years).
factor
derived from agegrp
.
size of household (1 \(=\) 1 person, 2 \(=\) 2 persons, 3 \(=\) 3 persons, 4 \(=\) 4 persons, 5 \(=\) 5 persons or more).
factor
derived from hhsize
.
household income before taxes (1 \(=\) 30 000 EUR or less, 2 \(=\) 30 001-50 000 EUR, 3 \(=\) 50 001-70 000 EUR, 4 \(=\) more than 70 000 EUR, 5 \(=\) No answer).
factor
derived from income
.
Karvanen, J., Rantanen, A., and Luoma, L. (2014). Survey data and Bayesian analysis: A cost-efficient way to estimate customer equity. Quantitative Marketing and Economics, 12(3), 305-329.
data("mobile", package="icensBKL")
summary(mobile)
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