103 research outputs found

    Are the facts of UK inflation persistence to be explained by nominal rigidity or changes in monetary regime?

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    It has been widely argued that inflation persistence since WWII has been widespread and durable and that it can only be accounted for by models with a high degree of nominal rigidity. We examine UK post-war data and find that the varying persistence it reveals is largely due to changing monetary regimes and that models with moderate or even no nominal rigidity are best equipped to explain it.

    Query Composition: Why Does It Have to Be So Hard?

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    Project Envision, a large research effort at Virginia Tech, focuses on developing a user centered multimedia database from the computer science literature with full-text searching and full-content retrieval capabilities. User interviews indicate that people have trouble composing queries. Widely available boolean retrieval systems present problems with both syntax and logic. Natural language queries for vector space retrieval systems are easier to compose but users complain that they do not understand the matching principles used; users also complain that they have too little control over the search and fear being overwhelmed by an enormous retrieval set. We describe the Envision query window which has as a usability goal making query composition easy while increasing user control. Results of formative usability evaluation and subsequent redesign are discussed

    Would price-level targeting destabilise the economy?

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    When indexation is endogenous price level targeting slightly adds to economic stability, contrary to widespread fears to the contrary. The aggregate supply curve flattens and the aggregate demand curve steepens, increasing stability in the face of supply shocks

    Can a pure Real Business Cycle model explain the real exchange rate?

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    This paper establishes the ability of a Real Business Cycle model to account for UK real exchange rate behaviour. The model is tested by the method of indirect inference, bootstrapping the errors to generate 95% con�dence limits for a time-series representation of the real exchange rate, as well as for various key data moments. The results suggest RBC models can explain real exchange rate movements

    Economic policy: protectionism as an elite strategy

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    The EU has pursued protectionist policies not merely in food but also in manufacturing at the customs union level. In services it has not dismantled much of the existing national protectionism. The economic costs are calculated here at some 3% of GDP for the UK and some 4% for the rest of the EU --- or much larger under liberal planning assumptions. Added to its social interventionism, these costs suggest that the EU has put political integration before economic efficiency. This policymaking pattern suggests that European elites believe their position would be threatened by the domestic effects of world competition

    Can the facts of UK inflation persistence be explained by nominal rigidity?

    Get PDF
    It has been widely argued that inflation persistence since WWII has been widespread and durable and that it can only be accounted for by models with a high degree of nominal rigidity. We examine UK post-war data where after confirming previous studies' findings of varying persistence due to changing monetary regimes, we find that models with little nominal rigidity are best equipped to explain it

    DNA-Cytophotometry of Lymph Node Touch Imprints in Cutaneous T-Cell Lymphoma

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    Scanning DNA-cytophotometry was performed on touch imprints of 26 lymph nodes (LN) obtained from 25 patients with cutaneous T-cell lymphoma (CTCL), stained by the Feulgen technique, and interpreted without knowledge of histopathologic diagnosis. Four patterns of DNA distribution were identified, but only histograms that demonstrated cells containing nuclei with more than 4C DNA content (hypertetraploidy) reliably distinguished LN involved with CTCL from LN with reactive changes; for example, dermatopathic lymphadenitis. An abnormal DNA histogram with evidence of hypertetraploidy was demonstrated in 9 of 12 LN showing histopathologic evidence of involvement compared with no abnormal histograms in 14 LN without histopathologic involvement. One LN that was diffusely involved with CTCL had a DNA distribution characteristic of a relatively high level of cell proliferation, but without definite hypertetraploidy. Cytogenetic studies on the blood of this patient, who had Sézary syndrome, demonstrated a clone of lymphocytes with a pseudodiploid karyotype without a related polyploid subline. The remaining two histopathologically involved LN had normal DNA histograms; these LN were only focally involved with CTCL. These observations indicate that DNA-cytophotometry correlates well with the histopathologic findings in LN diffusely involved with CTCL, but may be normal in LN with focal involvement or in those that contain cytogenetically abnormal cells with a near-dip- kid DNA content

    Multiple Analytical Approaches Reveal Distinct Gene-Environment Interactions in Smokers and Non Smokers in Lung Cancer

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    Complex disease such as cancer results from interactions of multiple genetic and environmental factors. Studying these factors singularly cannot explain the underlying pathogenetic mechanism of the disease. Multi-analytical approach, including logistic regression (LR), classification and regression tree (CART) and multifactor dimensionality reduction (MDR), was applied in 188 lung cancer cases and 290 controls to explore high order interactions among xenobiotic metabolizing genes and environmental risk factors. Smoking was identified as the predominant risk factor by all three analytical approaches. Individually, CYP1A1*2A polymorphism was significantly associated with increased lung cancer risk (OR = 1.69;95%CI = 1.11–2.59,p = 0.01), whereas EPHX1 Tyr113His and SULT1A1 Arg213His conferred reduced risk (OR = 0.40;95%CI = 0.25–0.65,p<0.001 and OR = 0.51;95%CI = 0.33–0.78,p = 0.002 respectively). In smokers, EPHX1 Tyr113His and SULT1A1 Arg213His polymorphisms reduced the risk of lung cancer, whereas CYP1A1*2A, CYP1A1*2C and GSTP1 Ile105Val imparted increased risk in non-smokers only. While exploring non-linear interactions through CART analysis, smokers carrying the combination of EPHX1 113TC (Tyr/His), SULT1A1 213GG (Arg/Arg) or AA (His/His) and GSTM1 null genotypes showed the highest risk for lung cancer (OR = 3.73;95%CI = 1.33–10.55,p = 0.006), whereas combined effect of CYP1A1*2A 6235CC or TC, SULT1A1 213GG (Arg/Arg) and betel quid chewing showed maximum risk in non-smokers (OR = 2.93;95%CI = 1.15–7.51,p = 0.01). MDR analysis identified two distinct predictor models for the risk of lung cancer in smokers (tobacco chewing, EPHX1 Tyr113His, and SULT1A1 Arg213His) and non-smokers (CYP1A1*2A, GSTP1 Ile105Val and SULT1A1 Arg213His) with testing balance accuracy (TBA) of 0.6436 and 0.6677 respectively. Interaction entropy interpretations of MDR results showed non-additive interactions of tobacco chewing with SULT1A1 Arg213His and EPHX1 Tyr113His in smokers and SULT1A1 Arg213His with GSTP1 Ile105Val and CYP1A1*2C in nonsmokers. These results identified distinct gene-gene and gene environment interactions in smokers and non-smokers, which confirms the importance of multifactorial interaction in risk assessment of lung cancer
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