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Adjustment Period (adjustment + period)
Selected AbstractsSafety of pramlintide added to mealtime insulin in patients with type 1 or type 2 diabetes: a large observational studyDIABETES OBESITY & METABOLISM, Issue 6 2010R. Pencek The objective of this Phase 4, open-label, multicentre, observational study was to fulfil food and drug administration (FDA) postapproval requirement to evaluate in healthcare practices the risk of insulin-induced severe hypoglycaemia following initiation of pramlintide therapy in N = 1297 patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) with inadequate glycaemic control. The duration of the study was approximately 6 months. During the adjustment period (0,3 months), the incidence and event rate of patient-ascertained severe hypoglycaemia (PASH) were 4.8% and 0.33 events/patient-year in patients with T1DM and 2.8% and 0.19 events/patient-year in patients with T2DM. During the maintenance period (>3,6 months), the incidence and event rate of PASH declined in patients with T1DM or T2DM. This study confirms that in healthcare practices, the risk of insulin-induced severe hypoglycaemia following the initiation of pramlintide is low in patients with T1DM or T2DM. [source] International dynamic risk sharingJOURNAL OF APPLIED ECONOMETRICS, Issue 1 2008Giuseppe Cavaliere In this paper we examine the implications of international risk sharing among a set of countries in the presence of market frictions which complicate the instantaneous adjustment to the first-order conditions. We suggest approximating the consumption streams of countries belonging to the risk sharing coalition in terms of a disequilibrium dynamic model embodying forward-looking adjustment. Econometric methods for estimating and testing the model are discussed. Empirical analysis of a set of core European countries suggests that once preference parameters are allowed to vary across countries, we are able to identify a group of nations that share risks against idiosyncratic permanent income shocks. The equilibrium position, however, is reached after a long adjustment period. Copyright © 2008 John Wiley & Sons, Ltd. [source] Seasonal migration and land-use change in GhanaLAND DEGRADATION AND DEVELOPMENT, Issue 1 2004A. K. Braimoh Abstract When farmers migrate yearly to a village to carry out intense farming during the rainy season, and thereafter return to a more permanent place of abode this is referred to as seasonal migration. The impact of such migration on land-use/land-cover change in an area within the Volta Basin of Ghana was examined using satellite image analysis and socioeconomic surveys. The most drastic land-cover change involved the conversion of woodland to agricultural land, while there was also a general transition to less vegetation cover. Socioeconomic surveys revealed that most of the migration occurred during the post-structural adjustment period in Ghana with declining soil fertility accounting for the highest per cent of causes of migration. Multiple regression results highlighted the role of population size and distribution, marketing of agricultural produce and technological evolution of the household in determining agricultural land-use change. Policy initiatives that could lead to environment conservation are suggested. Copyright © 2004 John Wiley & Sons, Ltd. [source] Impact Of Tariff Reduction On Structural Employment In China: A Computable General Equilibrium AnalysisPACIFIC ECONOMIC REVIEW, Issue 2 2000Dianqing Xu The paper studies the effect of tariff reduction on employment in China. Using a computable general equilibrium (CGE) analysis, a model simulates the structural adjustment in the Chinese economy as a result of tariff cuts and predicts their quantitative impacts on structural unemployment during the adjustment period. It is concluded that the structural unemployment in China caused by tariff reduction is not as serious as some have claimed. The technique of study on structural unemployment can be extended to other countries to analyze the impact of trade reform. [source] Housing Price Volatility Changes and Their EffectsREAL ESTATE ECONOMICS, Issue 1 2002Walter Dolde We examine significant volatility shifts in regional housing price changes, adapting a method of Haugen, Talmor and Torous (1991) independent of predefined sampling blocks. We identify 36 volatility events, most of which are purely regional, but three of which are national. We find significant associations of volatility events and economic conditions, especially national and regional income growth, inflation, and interest rates. During an initial adjustment period after a volatility shift, realized housing returns move opposite to volatility. We find evidence of significant interregional diffusion of volatility increases, but not of decreases. New insights on links between economic conditions and housing volatility and returns should be of value to household investors and mortgage investors. [source] |