Sentences with phrase «economic modelling estimate»

Losses could soar to $ 24tn and wreck the global economy in worst case scenario, first economic modelling estimate suggests

Earth 2017 ′ s economic model estimates that 6 % employment levels could be achieved if Americans purchased 13 million U.S. - made 50 MPG cars per year.

Not exact matches

Based on a dynamic factor model (DFM) methodology, we use a broad range of international economic indicators (close to 300) to estimate external demand for Canadian exports.

That's the average estimate, but the report notes that «there is a risk those costs could be not just higher, but much higher»: the model found a five per cent chance that the economic cost to Canada in 2050 could be greater than $ 91 billion.

In Budget 2010, the Department of Finance provided an estimate of the number of jobs created / maintained because of the Economic Action Plan, using the Department's Canadian Economic and Fiscal Model (CEFM)[1].

Likewise, recent estimates by the Tax Policy Center and the Penn Wharton Budget Model show that dynamic effects would marginally reduce the revenue loss in the first decade but significantly increase it over the long run because of the economic consequences of higher debt.

Modelling conducted for the Series estimates that global economic losses of lower cognition from not breastfeeding reached a staggering US$ 302 billion in 2012, equivalent to 0.49 % of world gross national income.

The board also reviewed economic and financial models based on estimated gaming revenues for potential locations.

Nelson and his colleagues, working with funding from the World Bank and Asian Development Bank, estimated global agricultural impacts by pairing IFPRI's own economic models for crop yields with climate models for precipitation and temperature from the U.S. National Center for Atmospheric Research and Australia's Commonwealth Scientific and Industrial Research Organization.

In late May, a Johns Hopkins Bloomberg School of Public Health panel estimated it will cost six southern states where the virus is expected to first impact the United States more than $ 2 billion in medical care and lost wages, an economic model that assumes the virus will infect only 2 % of the region's population.

He applied economic models to five years of sales data to estimate the price increases resulting from the delayed entry of a generic version of Adderall XR.

The model simulates HIV transmission and HIV care in the U.S., estimates the economic and epidemiologic consequences of incomplete or intermittent care, and explores the potential impact of different interventions versus the status quo in care.

Such comprehensive improvements would cost an estimated $ 96 billion, according to the model, but could reduce HIV incidence in the U.S. by 54 percent and the mortality rate by 64 percent, at a cost - effectiveness ratio of $ 45,300 per quality - adjusted life year, or QALY, a standard economic measure of the value of a medical intervention.

No economic modeling figured into that estimate; the analysts merely assumed that the developing nations would aim for the 10 to 20 percent share of electricity from nuclear power that the rest of the world would adopt.

The previous report, «Estimating the Performance and Economic Value of Multiple Concentrating Solar Power Technologies in a Production Cost Model,» is available on NREL's web site.

The researchers then built an economic model to estimate work productivity gains associated with curing genotype - 1 chronic hepatitis C patients using LDV / SOF.

The new numbers will be used in models created by economists, environmentalists, and governments who use population estimates to predict pollution and global warming levels; prepare for epidemics; determine road, school, and other infrastructure requirements; and forecast worldwide economic trends.

SRNL has unique experience and expertise in thermochemical hydrogen production flowsheet development, modeling, and simulation using commercial off - the - shelf (COTS) software to support conceptual designs, scenario studies, capital and operating cost estimates, comparison of alternative designs, and techno - economic analyses.

When we estimated the importance of each within the same model, we found each of them to be separately important to economic growth.

Each student is compared to his or her previous performance; and through the use of sophisticated statistical models, pre-existing social, economic, and demographic differences are removed leaving more accurate estimates of actual achievement gain.

To consider the economic significance of these parameter changes, I use the estimates to examine the implications for a simple portfolio decision model in which a US investor could choose between US and foreign portfolios.

(In fact, I think most of the standard economic models probably under - estimate real costs because they assume efficient policies (e.g., a carbon tax coupled with a well - designed technology investment program).

Sensitivity of the climate to carbon dioxide, and the level of uncertainty in its value, is a key input into the economic models that drive cost - benefit analyses, including estimates of the social cost of carbon.

Currently set at $ 36 per ton of carbon dioxide, the metric is produced using a complex, and contentious, set of models estimating a host of future costs to society related to rising temperatures and seas, then using a longstanding economic tool, a discount rate, to gauge how much it is worth today to limit those harms generations hence.

The model is estimated over five different scenarios projecting economic growth.

To estimate the economic cost of the proposed regulations, we employed the Heritage Energy Model (HEM), a derivative of the National Energy Model System 2014 Full Release (NEMS).

Then, by using climate models to project future temperatures, the researchers were able to estimate economic growth over the rest of the century if these historical patterns hold true.

CGE models such as ADAGE combine economic theory and empirical data to estimate policy effects, while accounting for all interactions among businesses and consumers.

The new study, published in the peer - reviewed journal Nature Climate Change, used economic modelling to estimate the impact of unchecked climate change.

Climate change could cut the value of the world's financial assets by $ 2.5 tn (# 1.7 tn), according to the first estimate from economic modelling.

Integrated assessment models (IAMs) take underlying socioeconomic factors, such as population and economic growth, as well as a climate target — such as limiting warming to 1.5 C — and estimate what changes could happen to energy production, use, and emissions in different regions of the world to reach the targets in the most cost - effective way.

The paper incorporates data - driven estimates of the value of fuel economy into an automotive market simulation model that has three components: a consumer demand function that predicts consumers» vehicle choices as functions of vehicle price, fuel price, and vehicle attributes (the new estimates of the value of fuel economy are used to set the parameters of the demand function); an engineering and economic evaluation of feasible fuel economy improvements by 2010; and a game theoretic analysis of manufacturers» competitive interactions.

Dr. Thorning: If policy makers have not seen credible estimates using appropriate economic models the lost GDP and reduced employment they might think that meeting the McCain - Lieberman carbon emission reduction targets is virtually costless.

In 2010, the interagency working group used the results of one economic model as well as the U.S. share of global GDP to generate an «approximate, provisional, and highly speculative» range of 7 — 23 % of the global SCC as an estimate of the purely direct climate effects to the United States.

However, a new economic modeling study finds that the economic impacts on these poorer countries could be much larger than previous estimates.

Yet, despite the fact that the models systematically overstate the costs of cutting emissions, they consistently produce estimates of reductions in economic growth rates that are, by any standard, minuscule.

Complicated economic models have been used to estimate the effects of cutting emissions on growth rates.

Using assumptions about future population, economic growth, trading conditions and technological progress, the trade model estimated plausible prices of food commodities on the international market given supply as defined by the production estimates.

Existing estimates are based not on testable (let alone tested) economic models of how changes in climate generate economic costs, but on conjecture, guesswork, and sometimes simply by asking «experts» — the people who construct SCC estimates — what they think the damages from climate change might be.»

3) They include estimates of model - based climate metrics» impacts on things such as ``... crime,... energy, human mortality, and labor...» in their economic modeling games.

Summarizing the value of all these changes into a single estimate of the social cost of carbon (SCC) requires complex integrated assessment models that predict both environmental and economic outcomes and attach estimates of the value of those outcomes.

For example, all estimates of government revenue and outgo depend on some sort of economic model, which superficially have the same weaknesses as climate models: validation issues, adjustable parameters, some key processes (convection, precipitation, human behavior) can't be reliably modeled.

The Princeton group's multi-stage formula estimates individual emissions based on lifestyle and income rather than per capita national income — a departure from the 1992 United Nations Framework Convention on Climate Change, which set no specific goals or timetables for emission reductions by developing nations until the developed world had found a model for low - carbon economic growth.

All three scenarios are assessed using MDM - E3, a macro-econometric model that applies economic (national) accounting identities and empirically estimated equations to model interactions between the UK economy, energy system and the environment.

Standing in the way of climate policy that will be essential to this progress are models that estimate climate policy costs based on over-simplistic assumptions about current economic conditions.

Synapse also routinely performs operational and planning modeling analyses of electric power systems using industry - standard models such as Strategist, Market Analytics, PROMOD, and PLEXOS, and applies economic models such as REMI and IMPLAN to estimate impacts of electric sector policies and investments on employment, gross domestic or state product, and other metrics.

Yet, model projections of future global warming vary, because of differing estimates of population growth, economic activity, greenhouse gas emission rates, changes in atmospheric particulate concentrations and their effects, and also because of uncertainties in climate models.

The portfolio credit risk model provides a quantitative tool to estimate the loss distribution and the economic capital for a rural bank.

As with the global SC - CO2 estimates, the domestic SC - CO2 increases over time because future emissions are expected to produce larger incremental damages as physical and economic systems become more stressed in response to greater climatic change, and because GDP is growing over time and many damage categories are modeled as proportional to gross GDP.

Thus, all the statements regarding economic modelling and damage estimates are very much hedged and often rather vague.