Kang, Han B.
January 2012
International Journal of Business, Accounting, & Finance;Winter2012, Vol. 6 Issue 1, p132
Academic Journal
The article presents a study which examined non-life insurance industry's cyclical underwriting profits. The study developed log-linear and linear models, as well as a regression model. Results confirmed the hypothesis that the lagged capacity variables and lagged interest have negative relation with the underwriting results.


Related Articles

  • Maximum Likelihood Inference for Log-linear Models Subject to Constraints of Double Monotone Dependence. Cazzaro, Manuela; Colombi, Roberto // Statistical Methods & Applications;2006, Vol. 15 Issue 2, p177 

    To model an hypothesis of double monotone dependence between two ordinal categorical variables A and B usually a set of symmetric odds ratios defined on the joint probability function is subject to linear inequality constraints. Conversely in this paper two sets of asymmetric odds ratios...

  • BMI Methodology.  // Brazil Autos Report;Q2 2012, Issue 2, p62 

    The article reports on the means to create industry forecast in automobiles in Brazil. It notes that the forecast has used the best-practice techniques of time-series modelling and causal/econometric modelling. It mentions that the forecast has utilized mainly linear model such as the log-linear...

  • BMI Methodology.  // Mexico Autos Report;Q2 2012, Issue 2, p51 

    The article focuses on the means to make industry forecast in automobiles in Mexico. It notes that the forecast has used the best-practice techniques of time-series modelling and causal/econometric modelling. It mentions that the forecast has used mainly linear model such as log-linear model...

  • Further reflections on changes in fertility expectations and preferences. Thornton, Arland D.; Freedman, Ronald; Freedman, Deborah S.; Thornton, A D; Freedman, R; Freedman, D S // Demography;Aug1984, Vol. 21 Issue 3, p423 

    In this paper we have shown that the statements made in our original paper and disputed by Sloane and Lee are not ". . . . .at least partially in error." Concerning the first two areas of disagreement, Sloane and Lee's analysis did not address the conclusions that we reached and, therefore,...

  • Conditional independence relations and log-linear models for random matchings. Csiszár, V. // Acta Mathematica Hungarica;Jan2009, Vol. 122 Issue 1/2, p131 

    We study probability distributions on all possible complete matchings in a complete bipartite graph, where the vertices in both sets admit a linear order. We define a family of distributions, and give its equivalent implicit and explicit (parametric) description: it is characterized implicitly...

  • The collapsibility theorem in log-linear analysis of categorical data: an application in program evaluation. Sánchez-Algarra, Pedro; Anguera-Argilaga, M. Teresa // Quality & Quantity;May97, Vol. 31 Issue 2, p199 

    The collapsibility theorem describes both the circumstances in which the effects of hierarchical models change when additional variables are introduced, as the circumstances in which the exclusion of certain variables and the analysis of specific marginal tables may lead to different...

  • Alternative conceptual frameworks for the analysis of mobility tables and the log-linear models. Cobalti, Antonio // Quality & Quantity;Jan1988, Vol. 22 Issue 1, p31 

    This article contrasts two alternative conceptual frameworks for the analysis of mobility tables: the "structure vs. circulation" framework that in the past inspired the construction of "pure" mobility indices, and the "absolute vs. relative mobility" one, more recently proposed by Goldthorpe....

  • CONTINGENCY TABLE ANALYSIS: LOG-LINEAR MODELS. Upton, Graham // Quality & Quantity;Jan1980, Vol. 14 Issue 1, p155 

    This article presents information regarding contingency table analysis of log-linear models. The two-way table remains a favorite method of presenting data, and rightly so, since it provides easily assimilated information. The analysis of the data, however, is increasingly performed using...

  • Using standardised tables for interpreting Loglinear models. Hendrickx, John // Quality & Quantity;Oct2004, Vol. 38 Issue 5, p603 

    Loglinear models are a useful but under-utilised research tool. One of the reasons for this is the difficulty of explaining model coefficients to others. Presenting coefficients in the form of standardised tables can help communicate the results to readers with little or no background in...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics