288 research outputs found

    Non-monotonic long memory dynamics in black-market premia

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    The dynamic response of Black market premia to domestic shocks is an important issue in the design and implementation of stabilization and reform programs. We use a vector autoregressive fractionally integrated model to provide new evidence on the dynamics of the official and Black market exchange rates. We show that the official and Black market exchange rates in Hungary are cointegrated with a negative fractional order ofintegration in the cointegrating residuals. The new empirical finding means that the cointegrating residuals are positively autocorrelated in the short run due to autoregressive dynamics, but are negatively autocorrelated in the long run. The rich and complex dynamics of the premia suggests the existence of what we call long memory non-monotonicity.Foreign exchange rates ; Vector autoregression

    The practice boundaries of advanced practice nurses: an economic and legal analysis

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    The purpose of this study is to examine the causes and effects of State regulation that determines the extent of professional independence of advanced practice nurses (APNs). We analyze determinants of these regulations in panel data across States. We find that in States where APNs have acquired a substantial amount of professional independence, the earnings of APNs are substantially lower, and those of physicians' assistants are substantially higher, than in other States. These results are striking since physicians' assistants are in direct competition with APNs; the only real operational difference between these groups is that physicians' assistants are salaried employees who must work under the supervision of a physician. The implication is that physicians have responded to an increase in professional independence of APNs by hiring fewer APNs and more physicians' assistants.

    Rare Variants in Ischemic Stroke: An Exome Pilot Study

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    The genetic architecture of ischemic stroke is complex and is likely to include rare or low frequency variants with high penetrance and large effect sizes. Such variants are likely to provide important insights into disease pathogenesis compared to common variants with small effect sizes. Because a significant portion of human functional variation may derive from the protein-coding portion of genes we undertook a pilot study to identify variation across the human exome (i.e., the coding exons across the entire human genome) in 10 ischemic stroke cases. Our efforts focused on evaluating the feasibility and identifying the difficulties in this type of research as it applies to ischemic stroke. The cases included 8 African-Americans and 2 Caucasians selected on the basis of similar stroke subtypes and by implementing a case selection algorithm that emphasized the genetic contribution of stroke risk. Following construction of paired-end sequencing libraries, all predicted human exons in each sample were captured and sequenced. Sequencing generated an average of 25.5 million read pairs (75 bp×2) and 3.8 Gbp per sample. After passing quality filters, screening the exomes against dbSNP demonstrated an average of 2839 novel SNPs among African-Americans and 1105 among Caucasians. In an aggregate analysis, 48 genes were identified to have at least one rare variant across all stroke cases. One gene, CSN3, identified by screening our prior GWAS results in conjunction with our exome results, was found to contain an interesting coding polymorphism as well as containing excess rare variation as compared with the other genes evaluated. In conclusion, while rare coding variants may predispose to the risk of ischemic stroke, this fact has yet to be definitively proven. Our study demonstrates the complexities of such research and highlights that while exome data can be obtained, the optimal analytical methods have yet to be determined
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