MODELING REPEATED CHOICE BEHAVIORS OF PHYSICAL DAMAGE COVERAGE FOR NEW CAR OWNERS
スポンサーリンク
概要
- 論文の詳細を見る
This paper presents a discrete choice modeling framework for analysis of repeated choices associated with expensive automobile insurance policy (AIP) — the bundled physical damage coverage and the number of consecutive years the insured has purchased the same type of AIP. A four-year panel data with 9,949 voluntary automobile insurance records, randomly drawn from a non-life insurance company in Taiwan, is used to test the empirical case. The estimation results of the preferred multinomial logit model show that engine capacity and vehicle make significantly affect selection of AIP bundles. Older adults and owners of newer vehicles, of larger engine capacities, and of imported vehicles tend to repeat purchase expensive AIP bundles for three or four consecutive years. The preferred nested logit model further confirms that the inertia of the same individuals leads to repeat buying of the same physical damage coverage policies for several consecutive years.
- Eastern Asia Society for Transportation Studiesの論文
著者
-
LAN Lawrence
College of Management, MingDao University
-
WEN Chieh-Hua
Department of Traffic and Transportation Engineering and Management Feng Chia University
-
WANG Ming-Jyh
Department of Insurance Chaoyang University of Technology
関連論文
- EXPLORING TRAFFIC FEATURES WITH STATIONARY AND MOVING BOTTLENECKS USING REFINED CELLULAR AUTOMATA
- INTEGRATED DATA ENVELOPMENT ANALYSIS MODELS FOR MEASURING TRANSPORT EFFICIENCY AND EFFECTIVENESS
- DISCRETE CHOICE MODELING FOR BUNDLED AUTOMOBILE INSURANCE POLICIES
- A DISCRETE CHOICE MODEL OF OCEAN CARRIER CHOICE
- PREDICTION OF SHORT-INTERVAL TRAFFIC DYNAMICS IN MULTIDIMENSIONAL SPACES
- MODELING REPEATED CHOICE BEHAVIORS OF PHYSICAL DAMAGE COVERAGE FOR NEW CAR OWNERS
- THE CHARACTERISTICS OF TEMPORAL TRAFFIC FLOW DYNAMICS