Testing the descriptive performance of the rank-dependent utility in the domain of health profiles

Expected utility theory (EUT) has been challenged as a descriptive theoryin many contexts. The medical decision analysis context is not an exception.Several researchers have suggested that rank dependent utility theory (RDUT)may accurately describe how people evaluate alternative medical treatments.Recent research in this domain has addressed a relevant feature of RDU models-probability weighting-but to date no direct test of this theoryhas been made. This paper provides a test of the main axiomatic differencebetween EUT and RDUT when health profiles are used as outcomes of riskytreatments. Overall, EU best described the data. However, evidence on theediting and cancellation operation hypothesized in Prospect Theory andCumulative Prospect Theory was apparent in our study. we found that RDUoutperformed EU in the presentation of the risky treatment pairs in whichthe common outcome was not obvious. The influence of framing effects onthe performance of RDU and their importance as a topic for future researchis discussed.

Exact and approximate stepdown methods for multiple hypothesis testing

Consider the problem of testing k hypotheses simultaneously. In this paper,we discuss finite and large sample theory of stepdown methods that providecontrol of the familywise error rate (FWE). In order to improve upon theBonferroni method or Holm's (1979) stepdown method, Westfall and Young(1993) make eective use of resampling to construct stepdown methods thatimplicitly estimate the dependence structure of the test statistics. However,their methods depend on an assumption called subset pivotality. The goalof this paper is to construct general stepdown methods that do not requiresuch an assumption. In order to accomplish this, we take a close look atwhat makes stepdown procedures work, and a key component is a monotonicityrequirement of critical values. By imposing such monotonicity on estimatedcritical values (which is not an assumption on the model but an assumptionon the method), it is demonstrated that the problem of constructing a validmultiple test procedure which controls the FWE can be reduced to the problemof contructing a single test which controls the usual probability of a Type 1error. This reduction allows us to draw upon an enormous resamplingliterature as a general means of test contruction.

Audit report on the Iowa Water Pollution Control Works Financing Program and the Iowa Drinking Water Facilities Financing Program, joint programs of the Iowa Finance Authority and the Iowa Department of Natural Resources for the year ended June 30, 2007

Audit report on the Iowa Water Pollution Control Works Financing Program and the Iowa Drinking Water Facilities Financing Program, joint programs of the Iowa Finance Authority and the Iowa Department of Natural Resources for the year ended June 30, 2007

Testing financing constraints on firm investment using variable capital

We consider a dynamic multifactor model of investment with financing imperfections,adjustment costs and fixed and variable capital. We use the model to derive a test offinancing constraints based on a reduced form variable capital equation. Simulation resultsshow that this test correctly identifies financially constrained firms even when the estimationof firms investment opportunities is very noisy. In addition, the test is well specified inthe presence of both concave and convex adjustment costs of fixed capital. We confirmempirically the validity of this test on a sample of small Italian manufacturing companies.

G-1 Appeal Activity in the Public Assistance Programs

This report contains information on the Appeal Activity in the Public Assistance Programs. Programs included are FIP (Iowa’s TANF program), Title IV-D (Child Support), Food Stamps (USDA Food Assistance Program), Title XIX (Medicaid), Title XX (Social Services Block Grant), Juvenile Parole, State Supplemental Assistance, Other, Food Stamp Fraud, FIP Fraud, RCA (Refugee Cash Assistance) Fraud, and a total for all the programs. This report is issued monthly.

Full insurance, asymmetric information and genetic testing

This paper extends previous resuls on optimal insurance trading in the presence of a stock market that allows continuous asset trading and substantial personal heterogeneity, and applies those results in a context of asymmetric informationwith references to the role of genetic testing in insurance markets.We find a novel and surprising result under symmetric information:agents may optimally prefer to purchase full insurance despitethe presence of unfairly priced insurance contracts, and other assets which are correlated with insurance.Asymmetric information has a Hirschleifer-type effect whichcan be solved by suspending insurance trading. Nevertheless,agents can attain their first best allocations, which suggeststhat the practice of restricting insurance not to be contingenton genetic tests can be efficient.

G-1 Appeal Activity in the Public Assistance Programs, February 2008

This report contains information on the Appeal Activity in the Public Assistance Programs. Programs included are FIP (Iowa’s TANF program), Title IV-D (Child Support), Food Stamps (USDA Food Assistance Program), Title XIX (Medicaid), Title XX (Social Services Block Grant), Juvenile Parole, State Supplemental Assistance, Other, Food Stamp Fraud, FIP Fraud, RCA (Refugee Cash Assistance) Fraud, and a total for all the programs. This report is issued monthly.

G-1 Appeal Activity in the Public Assistance Programs, March 2008

This report contains information on the Appeal Activity in the Public Assistance Programs. Programs included are FIP (Iowa’s TANF program), Title IV-D (Child Support), Food Stamps (USDA Food Assistance Program), Title XIX (Medicaid), Title XX (Social Services Block Grant), Juvenile Parole, State Supplemental Assistance, Other, Food Stamp Fraud, FIP Fraud, RCA (Refugee Cash Assistance) Fraud, and a total for all the programs. This report is issued monthly.

G-1 Appeal Activity in the Public Assistance Programs, April 2008

This report contains information on the Appeal Activity in the Public Assistance Programs. Programs included are FIP (Iowa’s TANF program), Title IV-D (Child Support), Food Stamps (USDA Food Assistance Program), Title XIX (Medicaid), Title XX (Social Services Block Grant), Juvenile Parole, State Supplemental Assistance, Other, Food Stamp Fraud, FIP Fraud, RCA (Refugee Cash Assistance) Fraud, and a total for all the programs. This report is issued monthly.

G-1 Appeal Activity in the Public Assistance Programs, May 2008

This report contains information on the Appeal Activity in the Public Assistance Programs. Programs included are FIP (Iowa’s TANF program), Title IV-D (Child Support), Food Stamps (USDA Food Assistance Program), Title XIX (Medicaid), Title XX (Social Services Block Grant), Juvenile Parole, State Supplemental Assistance, Other, Food Stamp Fraud, FIP Fraud, RCA (Refugee Cash Assistance) Fraud, and a total for all the programs. This report is issued monthly.

Testing calibrated general equilibrium models

This paper illustrates the philosophy which forms the basis of calibrationexercises in general equilibrium macroeconomic models and the details of theprocedure, the advantages and the disadvantages of the approach, with particularreference to the issue of testing ``false'' economic models. We provide anoverview of the most recent simulation--based approaches to the testing problemand compare them to standard econometric methods used to test the fit of non--lineardynamic general equilibrium models. We illustrate how simulation--based techniques can be used to formally evaluate the fit of a calibrated modelto the data and obtain ideas on how to improve the model design using a standardproblem in the international real business cycle literature, i.e. whether amodel with complete financial markets and no restrictions to capital mobility is able to reproduce the second order properties of aggregate savingand aggregate investment in an open economy.

A new alternative method for testing skin irritation using a human skin model: a pilot study.

Studies assessing skin irritation to chemicals have traditionally used laboratory animals; however, such methods are questionable regarding their relevance for humans. New in vitro methods have been validated, such as the reconstructed human epidermis (RHE) model (Episkin®, Epiderm®). The comparison (accuracy) with in vivo results such as the 4-h human patch test (HPT) is 76% at best (Epiderm®). There is a need to develop an in vitro method that better simulates the anatomo-pathological changes encountered in vivo. To develop an in vitro method to determine skin irritation using human viable skin through histopathology, and compare the results of 4 tested substances to the main in vitro methods and in vivo animal method (Draize test). Human skin removed during surgery was dermatomed and mounted on an in vitro flow-through diffusion cell system. Ten chemicals with known non-irritant (heptylbutyrate, hexylsalicylate, butylmethacrylate, isoproturon, bentazon, DEHP and methylisothiazolinone (MI)) and irritant properties (folpet, 1-bromohexane and methylchloroisothiazolinone (MCI/MI)), a negative control (sodiumchloride) and a positive control (sodiumlaurylsulphate) were applied. The skin was exposed at least for 4h. Histopathology was performed to investigate irritation signs (spongiosis, necrosis, vacuolization). We obtained 100% accuracy with the HPT model; 75% with the RHE models and 50% with the Draize test for 4 tested substances. The coefficients of variation (CV) between our three test batches were <0.1, showing good reproducibility. Furthermore, we reported objectively histopathological irritation signs (irritation scale): strong (folpet), significant (1-bromohexane), slight (MCI/MI at 750/250ppm) and none (isoproturon, bentazon, DEHP and MI). This new in vitro test method presented effective results for the tested chemicals. It should be further validated using a greater number of substances; and tested in different laboratories in order to suitably evaluate reproducibility.

Tests pharmacogénétiques: bientôt avant chaque prescription [Pharmacogenetic testing: soon before every prescription?]

Genetic polymorphisms have currently been described in more than 200 systems affecting pharmacological responses (cytochromes P450, conjugation enzymes, transporters, receptors, effectors of response, protection mechanisms, determinants of immunity). Pharmacogenetic testing, i.e. the profiling of individual patients for such variations, is about to become largely available. Recent progress in the pharmacogenetics of tamoxifen, oral anticoagulants and anti-HIV agents is reviewed to discuss critically their potential impact on prescription and contribution/limits for improving rational and safe use of pharmaceuticals. Prospective controlled trials are required to evaluate large-scale pharmacogenetic testing in therapeutics. Ethical, social and psychological issues deserve particular attention.

G-1 Appeal Activity in the Public Assistance Programs, June 2008

This report contains information on the Appeal Activity in the Public Assistance Programs. Programs included are FIP (Iowa’s TANF program), Title IV-D (Child Support), Food Stamps (USDA Food Assistance Program), Title XIX (Medicaid), Title XX (Social Services Block Grant), Juvenile Parole, State Supplemental Assistance, Other, Food Stamp Fraud, FIP Fraud, RCA (Refugee Cash Assistance) Fraud, and a total for all the programs. This report is issued monthly.

G-1A Appeal Activity in the Public Assistance Programs, Fiscal Year 2008 (July 1, 2007 - June 30, 2008)

This report contains information on the Appeal Activity in the Public Assistance Programs. Programs included are FIP (Iowa’s TANF program), Title IV-D (Child Support), Food Stamps (USDA Food Assistance Program), Title XIX (Medicaid), Title XX (Social Services Block Grant), Juvenile Parole, State Supplemental Assistance, Other, Food Stamp Fraud, FIP Fraud, RCA (Refugee Cash Assistance) Fraud, and a total for all the programs. This report is issued annually at the end of the fiscal year.