Halogenated natural products (HNPs) have been increasingly reported to occur in marine wild life from all oceans. Several HNPs, such as 2,3,3',4,4',5,5'-heptachloro-1'-methyl-1,2'-bipyrrole (1) and 4,6-dibromo-2-(2',4'-dibromo)phenoxyanisole (2'-MeO-BDE 68 or BC-2), were detected at particularly high concentrations in dolphins from Queensland/Australia. About half of the coastline of Queensland (approximately 2500 km) is covered by the Great Barrier Reef, a rich ecosystem hosting a huge variety of species, many of which are known to produce natural compounds. In this study, semipermeable membrane devices (SPMDs) were deployed as passive samplers for about 30 days at 12 marine and 2 nonmarine sites (i.e., rivers) along the Great Barrier Reef as part of a routine monitoring program during November 2007 and May 2008. Q1 and 2'-MeO-BDE 68 were detected at the marine sites with frequencies of about 65% but not in any sample from the two rivers. Further HNPs (2,4,6-tribromophenol, TBP; 2,4,6-tribromoanisole, TBA; 2,2'-dimethoxy-3,3'5,5'-tetrabromobiphenyl, 2,2'-diMeO-BB 80 or BC-1; 3,5-dibromo-2-(2',4'-dibromo)phenoxyanisole, 6-MeO-BDE 47 or BC-3; and 3,5-dibromo-2-(3',5'-dibromo,2'-methoxy)phenoxyanisole, 2',6-diMeO-BDE 68 or BC-11) were detected as well with frequencies of 18-97% in the marine samples, but no polybrominated flame retardants were detected. The highest amount of a single HNP, 2.3 microg/SPMD, was determined for TBP, which had a frequency of detection of only 46%. The maximum (average) amount in the SPMDs from marine sites was 44 ng (12 ng) for (1 and 115 ng (20 ng) for 2'-MeO-BDE 68. A first order kinetic model was used to estimate concentrations of the HNPs in the water phase. Based on the depuration of performance reference compounds obtained at one of the sites, we assumed a sampling rate of 16 L/day. We used this sampling rate to estimate that the highest and average available concentrations of Q1 in the water during the deployment of the SPMD were 97 and 25 pg/L, respectively. The estimated maximum water concentrations of 2'-MeO-BDE 68, 2,2'-diMeO-BB 80, 6-MeO-BDE 47, and 2',6-diMeO-BDE 68 were on average 2-5.5 fold higher than that of Q1. The results confirm that the HNPs are produced throughout the Great Barrier Reef, which appears to be a significant source of these compounds.

In semiparametric binary response models, support conditions on the regressors are required to guarantee point identification of the parameter of interest. JEL Classification: C2, C10, C14, C25

The levels of trace elements in whole blood and plasma have been widely used for assessing nutritional status and monitoring exposure and can vary widely in populations from different geographical regions. In this study, whole blood samples (n = 120) and plasma samples (n = 120) were obtained from healthy donors attending the Red Cross Blood Bank (Queensland Red Cross Blood Service), which provided information for age and sex. There were 71 males (age range: 19–73 years) and 49 females (age range: 18–72 years) for whole blood samples, and 59 males (age range: 19–81 years) and 61 females (age range: 19–73 years) for plasma samples. The main aim of the study was to provide information on blood reference levels of 21 trace elements (Ag, Al, As, Bi, Br, Cd, Co, Cr, Cu, Hg, I, Mn, Mo, Ni, Pb, Sb, Se, Tl, U, V, Zn) in Queensland. The study also aimed to assess differences in trace element blood levels between males and females and the effect of age. The trace element levels in blood samples were analysed using inductively coupled plasma mass spectrometry (ICP-MS) and the standard reference materials of Seronorm (Trace Elements Whole Blood) and UTAK (Trace Elements Serum) were used for quality control and assurance. The study found wide variations of trace element levels in whole blood and plasma, and generally the levels were comparable to other countries. No detectable levels were found for Bi, Cr, U and V in whole blood, but V levels were found in plasma samples. There were significant differences between males and females for whole blood Cu (p < 0.001), I (p = 0.009), Tl (p = 0.016) and Zn (p = 0.016). Significant differences were also found for plasma Cu (p < 0.001) and Se (p = 0.003) between males and females. There were trends of increased levels of blood Pb, Se and Zn with age. The study has provided further information on a wide range of trace elements in blood as reference levels for Queensland and Australia which are currently lacking.

Most empirical and theoretical econometric studies of dynamic discrete choice models assume the discount factor to be known. We show the knowledge of the discount factor is not necessary to identify parts, or even all, of the payo¤ function. We show the discount factor can be generically identi…ed jointly with the payo¤ parameters. On the other hand it is known the payo¤ function cannot be nonparametrically identi…ed without any a priori restrictions. Our identi…cation of the discount factor is robust to any normalization choice on the payo¤ parameters. In IO applications normalizations are usually made on switching costs, such as entry costs and scrap values. We also show that switching costs can be nonparametrically identi…ed, in closed-form, independently of the discount factor and other parts of the payo¤ function. Our identi…cation strategies are constructive. They lead to easy to compute estimands that are global solutions. We illustrate with a Monte Carlo study and the dataset used in Ryan (2012).