Pricing Automobile Insurance under a Cross-Classification of Risks: Evidence from New Jersey

1981 ◽  
Vol 48 (3) ◽  
pp. 505 ◽  
Author(s):  
William B. Fairley ◽  
Thomas J. Tomberlin ◽  
Hebert I. Weisberg
1968 ◽  
Vol 23 (3_suppl) ◽  
pp. 1295-1304
Author(s):  
Richard Heslin ◽  
Dexter Dunphy

The article describes a method for placing information into a classification system that maximizes the flexibility in retrieval at a later time. It uses (1) a stack of edge-punched cards containing information of interest that has been punched according to (2) a coding system developed by the users. The authors have developed a classification system for the small-group field which is depicted and described in detail. It allows for coding a study on about 50 dimensions to (1) locate an article, (2) give an over-all description of the article, and (3) indicate the variables measured or discussed. Examples of uses and discussion of special features are provided to give the reader sufficient information to establish and use the system or a similar system for his own purposes.


2017 ◽  
Vol 11 (2) ◽  
pp. 191
Author(s):  
Suharyanto Suharyanto

Household food security level essentially is the ability of households meet food sufficiency. These capabilities are greatly influenced by many complex factors, but  generally  associated  with  changes  in  behavioral  aspects  of  food  production, consumption and allocation of households resources. The purpose of this study was to analyze  the  level  of  household  food  security  based  on  low  land  rice  irrigated.  The study was conducted in three districts of rice production center in the province of Bali in 2012, i.e. Tabanan district, Gianyar and Buleleng. Data collection was conducted through interviews with 216 respondents. Household food security was measured by cross classification of the share of food expenditure and consumption of energy. The results  of  the  analysis  showed  58.33  %  of  households  have  a  lower  share  of  food expenditure  and  41.67%  household  have  higher  share  of  food  expenditure.  In aggregate  86.57%  of  farm  households  is  quite  in  consuming  energy  and  13.43% is less  in  energy  consume.  The  level  of  household  food  security  of  farmers  in  the aggregate 49.07% of the household were categorized as secure, 37.9% as vulnerable, 8.79% as insufficient, and 4.17% as insecure. There is a correlation between the level of  household food  security  with  age  of  housewife,  level  of  education,  farm  size  and household income.


1985 ◽  
Vol 19 (2) ◽  
pp. 293-317 ◽  
Author(s):  
Hugo M. Hervitz

Several major hypotheses have been proposed to explain and predict the effect of migration on fertility. This article conducts a highly disaggregated analysis of migrant and stayer fertility, using Brazilian data for 1976, to ascertain the extent to which the observed patterns of fertility variations are compatible with one or another hypothesis. The study controls for origin, destination, and recency of migration, as well as for age, education, and marital status of migrants and stayers. The regional breakdown consists of a cross-classification of rural/urban status with modern/traditional categories based on the level of economic development of the region.


Heart & Lung ◽  
2020 ◽  
Vol 49 (2) ◽  
pp. 151-157
Author(s):  
Quin E. Denfeld ◽  
Julie T. Bidwell ◽  
Jill M. Gelow ◽  
James O. Mudd ◽  
Christopher V. Chien ◽  
...  

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Thomas A. Coogan

Abstract Background The six licensed operators in the New Jersey Medicinal Marijuana Program submit their strains of cannabis flower to a single laboratory, administered by the state’s Department of Health, for testing. The results of these tests are made available by the State on a web page for patients, allowing a study of the range of cannabinoid profiles available in the program. Methods Reports on cannabinoid concentrations were collected from 245 test reports released by the State lab; the relative quantities of cannabinoids on all strains was evaluated, as well as trends in the strain types being tested. Results The collection of strain profiles available in New Jersey conforms to results of other population studies, revealing three broad classification of strains based on their relative concentration of cannabinoids: the overwhelmingly majority of strains contain only trace (< 1%) CBDA but high THCA concentration; a handful are balanced in CBDA and THCA content; and a very few strains have a high concentration of CBDA and minimal THCA (< 1%). In those strains that contain more than 1% of both THCA and CBDA, those two substances are present in comparable quantities. The concentration of CBGA is higher in those strains that have the highest THCA concentration, though there are strains that have high THCA (> 20%) with CBGA concentrations at the low end of the range (< 0.5%). In the high CBD strains, the concentration of CBGA is positively correlated with CBDA, but the CBGA concentrations are several fold less in CBD-dominant strains than in THC-dominant strains: the highest measured CBGA concentration in a CBD-dominant strain is only at the average value of CBGA concentration in THC-dominant strains. The most-recently tested strains are overwhelmingly of the THC-dominant type. Conclusions Though some high CBD strains are available in the New Jersey medical marijuana program, the vast majority of strains that have been tested are the THC-dominant strains which contain less than 1% CBDA. The data available from the State does not include any information on how well the different strains sell, but it can be inferred from the trend in strain types tested that the demand in the New Jersey medical market is for THC-dominant strains.


2002 ◽  
Vol 5 (5) ◽  
pp. 691-698 ◽  
Author(s):  
Monica M Rodríguez ◽  
Humberto Méndez ◽  
Benjamín Torún ◽  
Dirk Schroeder ◽  
Aryeh D Stein

AbstractObjective:The purpose of the study was to assess the validity of a 52-item semiquantitative food-frequency questionnaire (FFQ) by comparing it with multiple 24-hour dietary recalls.Design:Three non-consecutive 24-hour dietary recalls and one FFQ were administered over a one-month period.Setting:Four communities of El Progreso, Guatemala.Subjects:Seventy-three individuals aged 22–55 years.Results:Intakes of energy and other nutrients as measured by the FFQ were higher than intakes measured by 24-hour recalls. Energy was overestimated by 361 kcal, and nutrient overestimates were particularly great for vitamin C and iron. Pearson correlation coefficients for crude energy and nutrients intakes ranged from 0.64 for energy to 0.12 for vitamin C. Exact agreement for both methods (measured by the concordance correlation coefficient) ranged from 0.59 (fat) to 0.06 (vitamin C). Pearson correlation coefficients for energy-adjusted nutrients ranged from 0.59 (carbohydrates) to 0.11 (thiamin). Pearson correlation coefficients for the proportion of total energy derived from specific foods ranged from 0.59 (tortillas) to 0.01 (sugared beverages). Cross-classification of quartiles of crude nutrient intakes for both methods indicated that <11% were grossly misclassified; after adjusting for energy intake, <13% were grossly misclassified.Conclusions:This FFQ provides good measures of energy and macronutrient intakes and a reasonably reliable measure of micronutrient intake, indicating its suitability for comparing exposures within a study population in reference to heath-related endpoints. Our results highlight the need to adapt any FFQ to specific cultural needs – in this case, the Guatemalan ‘core foods’ (tortilla, bread and beans), for which inter-individual variability in intake is high.


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