Hospital utilization under insurance

Mimeographed.

Transactions of the second International Actuarial Congress, held in the hall of the Institute of Actuaries, Staple Inn, Holborn, London, May 16 to 20, 1898.

Papers in English, French or German. Most of those in French and German are accompanied by English translation.

Journal of the Institute of Actuaries.

List of members issued with v. 35- with separate paging.

Careers in fire and casualty insurance.

"Suggested readings": p. [32].

Life insurance and annuities from the buyer's point of view,

Originally published in 1935 and 1938 under title: Insurance and annuities from the buyer's point of view.

Journal of the Institute of Actuaries.

Imprint varies.

State Government insurance practices in Illinois,

Mode of access: Internet.

Catalogue of the books in the library of the Institute of accountants and actuaries in Glasgow ...

Mode of access: Internet.

Web Application for Actuarial Calculations for Insurance

Report published in the Proceedings of the National Conference on "Education in the Information Society", Plovdiv, May, 2013

Pricing farm-level agricultural insurance: a Bayesian approach

This paper applies Hierarchical Bayesian Models to price farm-level yield insurance contracts. This methodology considers the temporal effect, the spatial dependence and spatio-temporal models. One of the major advantages of this framework is that an estimate of the premium rate is obtained directly from the posterior distribution. These methods were applied to a farm-level data set of soybean in the State of the Parana (Brazil), for the period between 1994 and 2003. The model selection was based on a posterior predictive criterion. This study improves considerably the estimation of the fair premium rates considering the small number of observations.

Bayesian ratemaking procedure of crop insurance contracts with skewed distribution

Over the years, crop insurance programs became the focus of agricultural policy in the USA, Spain, Mexico, and more recently in Brazil. Given the increasing interest in insurance, accurate calculation of the premium rate is of great importance. We address the crop-yield distribution issue and its implications in pricing an insurance contract considering the dynamic structure of the data and incorporating the spatial correlation in the Hierarchical Bayesian framework. Results show that empirical (insurers) rates are higher in low risk areas and lower in high risk areas. Such methodological improvement is primarily important in situations of limited data.

Spatio-temporal modeling of agricultural yield data with an application to pricing crop insurance contracts

This article presents a statistical model of agricultural yield data based on a set of hierarchical Bayesian models that allows joint modeling of temporal and spatial autocorrelation. This method captures a comprehensive range of the various uncertainties involved in predicting crop insurance premium rates as opposed to the more traditional ad hoc, two-stage methods that are typically based on independent estimation and prediction. A panel data set of county-average yield data was analyzed for 290 counties in the State of Parana (Brazil) for the period of 1990 through 2002. Posterior predictive criteria are used to evaluate different model specifications. This article provides substantial improvements in the statistical and actuarial methods often applied to the calculation of insurance premium rates. These improvements are especially relevant to situations where data are limited.