Description: This paper shows how discrete multivariate analysis or multidimensional contingency table methods may be applied to data arising in actuarial work. A brief introduction to the theory is followed by two detailed examples of its application. Finally, the concluding remarks indicate how the procedure could be incorporated into a complete rate-making procedure. This work was performed for the U.S. Department of Housing and Urban Development.

Description: Many seniors who own houses in the United States have most of their wealth in their houses. Home Equity Conversion Mortgages are designed to allow seniors to borrow money against their house. This paper describes a stochastic simulation approach used to estimate the amount of a level-payment annuity payable as long as the senior is alive and living in his/her home. From Actuarial Research Clearing House 1990, VOL. 2.

Description: Mortgage insurance is used to guarantee the mortgage investor [mortgagee] against financial loss due to the inability of the home buyer [mortgagor] to repay the loan in accordance with the terms of the mortgage. This paper describes a procedure used to construct predicted survivorship tables for single-family home mortgage insurance contracts written under four sections of the National Housing Act.

Description: This paper examines the Federal Housing Administration's [FHA] historical termination data on individual single family mortgages. These FHA data can be used to help understand recent past experience as well as to forecast future experience.

Description: This work describes a study undertaken to determine whether the Federal Housing Administration FHA should modify or discontinue its single-family home mortgage insurance program for investor i.e., non-occupant loans.

Description: This paper describes an analysis of data anomalies on computer records on 246 federally-insured mortgages. Twenty-three of the corresponding mortgages were sampled and all were found to have identical amortization plans and to have been insured under the same insurance fund. The question posed, in probabilistic terms, is the following: How many of the remaining 223 mortgages are identical in these two aspects to the 23 sampled mortgages?