The Dynamic Effects of Skilled Labour Targeting in Immigration Programs

We consider the impact of the recent trend in immigration policies towards selecting migrants on the basis of skills. The analysis uses an inter-temporal general equilibrium model with endogenous skill formation. The model is calibrated to a steady state benchmark that represents Australia in 2000-2001. We then consider the impact of the increase in skilled migrants of approximately 20 thousand per year, which corresponds to the increase in flows of migrant Professionals in Australia since 2000. We find that this generates substantial crowding out of the higher Education sector in Australia. Moreover we show that, when this shock is anticipated as a permanent policy change, there is very little net increase in the stock of skilled labour due to falling student enrollments of 12%. Paradoxically, in this case, the decline in students increases the number of unskilled workers in the economy such that the ratio skilled to unskilled workers in the economy actually falls and the skill premium increases.Immigration; Human Capital; Computable General Equilibrium Models

Dynamic Adjustments to Terms of Trade Shocks: The USA Productivity Boom and Australia

How has the USA’s “new economy” productivity boom affected Australia? We consider this question using a dynamic multi-sector growth model of the Australian and USA economies. We find that productivity growth in the USA durables sector generates small but important gains to Australia. We find that the transmission of growth is generated through increased export demand for Agriculture. Consequently we find that the USA’s productivity growth tends to favour Australia’s traditional export sectors. Likewise it increases the relative demand for less skilled labour in Australia and reduces the demand for skilled labour and higher education.Terms of Trade; Productivity; Economic Growth; Human Capital; Computable General Equilibrium Models

Dynamic Gains and Market Access Insurance: Another look at the AUSFTA

We use a dynamic computable general equilibrium model to revisit the dynamic benefits of the Australia-USA Free Trade Agreement and, in particular, to evaluate the insurance value of this agreement in the face of regional and global trade wars. The insurance benefits are quantified by comparing the status quo against alternative scenarios where some or all regions raise tariffs by 10 percent, both permanently and temporarily. These insurance gains are found to be as much as four times larger than the traditional status quo efficiency gains.Trade policy; Computable General Equilibrium; Human Capital; Dynamics

Analyzing Economy Wide Effects of Trade Liberalisation on Vietnam using a Dynamic Computable General Equilibrium Model

Since its reform process in the late 1980s, Vietnam has emerged as a rapidly growing economy with growth rates surpassing its more developed ASEAN neighbours. This paper aims to consider the economy wide impacts of trade liberalisation on Vietnam. We approach this by way of multi-region, multi-good, dynamic growth computable general equilibrium (DCGE) model. We find that trade liberalisation has caused a large fall in wage inequality thus increasing the welfare of unskilled workers in Vietnam. There is also evidence of a shift away from agriculture towards low-tech and intermediate manufacturing sectors. Additionally, there are significant gains in terms of large physical and human capital accumulation.

The International Effects of China's Growth, Trade and Ecucation Booms

China’s international trade flows have increased by 500% since 1992, far outstripping GDP growth. Likewise tertiary education enrollments have increased by 300%. We simulate these changes using a multi-sector growth model of the Chinese and USA economies. A decade of trade biased growth in China is found to have a large effect on the USA economy – raising GDP approximately 3-4.5 percentage points. We also show that the trade bias in China’s growth accounts for more than half of the observed growth in tertiary enrolments in China. In contrast neutral growth has practically no effect on USA incomes or China’s stock of skilled labour. Finally the simulations reveal that China’s education boom per se has practically no long run impact on the USA economy. The results thus indicate that the pattern of productivity growth in exports sectors, as might be caused by falling trade costs, has been critical in transmitting benefits of Chinese growth to the world economy. They also point to an important link between falling trade costs and human capital formation.Economic Growth, China, Human Capital, Trade Costs

Multi-rate, real time image compression for images dominated by point sources

An image compression system recently developed for compression of digital images dominated by point sources is presented. Encoding consists of minimum-mean removal, vector quantization, adaptive threshold truncation, and modified Huffman encoding. Simulations are presented showing that the peaks corresponding to point sources can be transmitted losslessly for low signal-to-noise ratios (SNR) and high point source densities while maintaining a reduced output bit rate. Encoding and decoding hardware has been built and tested which processes 552,960 12-bit pixels per second at compression rates of 10:1 and 4:1. Simulation results are presented for the 10:1 case only

What has functional connectivity and chemical neuroimaging in fibromyalgia taught us about the mechanisms and management of ‘centralized’ pain?

Research suggests that fibromyalgia is a central, widespread pain syndrome supported by a generalized disturbance in central nervous system pain processing. Over the past decades, multiple lines of research have identified the locus for many functional, chronic pain disorders to the central nervous system, and the brain. In recent years, brain neuroimaging techniques have heralded a revolution in our understanding of chronic pain, as they have allowed researchers to non-invasively (or minimally invasively) evaluate human patients suffering from various pain disorders. While many neuroimaging techniques have been developed, growing interest in two specific imaging modalities has led to significant contributions to chronic pain research. For instance, resting functional connectivity magnetic resonance imaging (fcMRI) is a recent adaptation of fMRI that examines intrinsic brain connectivity - defined as synchronous oscillations of the fMRI signal that occurs in the resting basal state. Proton magnetic resonance spectroscopy (1H-MRS) is a non-invasive magnetic resonance imaging technique that can quantify the concentration of multiple metabolites within the human brain. This review will outline recent applications of the complementary imaging techniques - fcMRI and 1H-MRS - to improve our understanding of fibromyalgia pathophysiology and how pharmacological and non-pharmacological therapies contribute to analgesia in these patients. A better understanding of the brain in chronic pain, with specific linkage as to which neural processes relate to spontaneous pain perception and hyperalgesia, will greatly improve our ability to develop novel therapeutics. Neuroimaging will play a growing role in the translational research approaches needed to make this a reality

Newer treatments for fibromyalgia syndrome

Fibromyalgia syndrome is a common chronic pain disorder of unknown etiology. The lack of understanding of the pathophysiology of fibromyalgia has made this condition frustrating for patients and clinicians alike. The most common symptoms of this disorder are chronic widespread pain, fatigue, sleep disturbances, difficulty with memory, and morning stiffness. Emerging evidence points towards augmented pain processing within the central nervous system (CNS) as having a primary role in the pathophysiology of this disorder. Currently the two drugs that are approved by the United States Food and Drug Administration (FDA) for the management of fibromyalgia are pregabalin and duloxetine. Newer data suggests that milnacipran, a dual norepinephrine and serotonin reuptake inhibitor, may be promising for the treatment of fibromyalgia. A double-blind, placebo-controlled trial of milnacipran in 125 fibromyalgia patients showed significant improvements relative to placebo. Milnacipran given either once or twice daily at doses up to 200 mg/day was generally well tolerated and yielded significant improvements relative to placebo on measures of pain, patient’s global impression of change in their disease state, physical function, and fatigue. Future studies are needed to validate the efficacy of milnacipran in fibromyalgia

Duration of antibody response following vaccination against feline immunodeficiency virus

Objectives: Recently, two point-of-care (PoC) feline immunodeficiency virus (FIV) antibody test kits (Witness and Anigen Rapid) were reported as being able to differentiate FIV-vaccinated from FIV-infected cats at a single time point, irrespective of the gap between testing and last vaccination (0–7 years). The aim of the current study was to investigate systematically anti-FIV antibody production over time in response to the recommended primary FIV vaccination series. Methods: First, residual plasma from the original study was tested using a laboratory-based ELISA to determine whether negative results with PoC testing were due to reduced as opposed to absent antibodies to gp40. Second, a prospective study was performed using immunologically naive client-owned kittens and cats given a primary FIV vaccination series using a commercially available inactivated whole cell/inactivated whole virus vaccine (Fel-O-Vax FIV, three subcutaneous injections at 4 week intervals) and tested systematically (up to 11 times) over 6 months, using four commercially available PoC FIV antibody kits (SNAP FIV/FeLV Combo [detects antibodies to p15/p24], Witness FeLV/FIV [gp40], Anigen Rapid FIV/FeLV [p24/gp40] and VetScan FeLV/FIV Rapid [p24]). Results: The laboratory-based ELISA showed cats from the original study vaccinated within the previous 0–15 months had detectable levels of antibodies to gp40, despite testing negative with two kits that use gp40 as a capture antigen (Witness and Anigen Rapid kits). The prospective study showed that antibody testing with SNAP Combo and VetScan Rapid was positive in all cats 2 weeks after the second primary FIV vaccination, and remained positive for the duration of the study (12/12 and 10/12 cats positive, respectively). Antibody testing with Witness and Anigen Rapid was also positive in a high proportion of cats 2 weeks after the second primary FIV vaccination (8/12 and 7/12, respectively), but antibody levels declined below the level of detection in most cats (10/12) by 1 month after the third (final) primary FIV vaccination. All cats tested negative using Witness and Anigen Rapid 6 months after the third primary FIV vaccination. Conclusions and relevance: This study has shown that a primary course of FIV vaccination does not interfere with FIV antibody testing in cats using Witness and Anigen Rapid, provided primary vaccination has not occurred within the previous 6 months. Consequently, Witness and Anigen Rapid antibody test kits can be used reliably to determine FIV infection status at the time of annual booster FIV vaccination to help detect ‘vaccine breakthroughs’ and in cats that have not received a primary course of FIV vaccination within the preceding 6 months. The duration of antibody response following annual booster FIV vaccination and the resulting effect on antibody testing using PoC kits needs to be determined by further research. The mechanism(s) for the variation in FIV antibody test kit performance remains unclear