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  • About Cambridge Econometrics - Contact details
    Tel 01223 533100 Fax 01223 533101 Email info camecon com How to get to us By Rail See Network Rail s website for timetable information or call National Rail Enquiries on 0345 484950 It takes 10 minutes to walk from the station to our offices Taxis are readily available at the station By Car Getting to Cambridge Bing website Finding Cambridge Econometrics Bing website Parking is available at our office

    Original URL path: http://www.camecon.com/AboutUs/Contact_Details.aspx (2016-02-14)
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  • About Cambridge Econometrics - Senior staff
    Sectoral Europe Macro Sectoral Global Sub National UK Sub National Europe Energy Environment UK Energy Environment Europe Energy Environment Global Labour Market UK Labour Market European Labour Market Global Econometrics Training and Evaluation Economic modelling courses Feedback from previous customers Recommended Reading About Us Senior staff Senior Staff at Cambridge Econometrics Terry Barker Chairman Richard Lewney Managing Director Anthony Barker Director Rachel Beaven Director Ben Gardiner Director Hector Pollitt Director

    Original URL path: http://www.camecon.com/AboutUs/senior_staff.aspx (2016-02-14)
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  • About Cambridge Econometrics - Job opportunities
    economic analysis for policy makers and strategic leaders in Europe Our core business is developing innovative modelling solutions to extract meaning from economic data and effectively communicating the findings of our analysis We recruit bright economists with strong quantitative and communications skills We look for colleagues that are enthusiastic problem solvers with an appetite to learn new skills and take responsibility within the team We offer a well developed programme

    Original URL path: http://www.camecon.com/AboutUs/careers.aspx (2016-02-14)
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  • MDM-E3: Overview
    in MDM E3 the key indicators are modelled separately for each industry sector and for each region yielding the results for the UK as a whole MDM E3 is one of a family of models which share the same framework general design methodology and supporting software the scope of the E3ME model is global To analyse structure the E3 models disaggregate industries commodities and household and government expenditures as well as foreign trade and investment and the models incorporate an input output framework to identify the inter relationships between industry sectors The E3 models combine the features of an annual short and medium term sectoral model estimated by formal econometric methods with the detail and structure of input output models providing analysis of the movement of the long term outcomes for key E3 indicators in response to economic developments and policy changes The models are essentially dynamic simulation models estimated by econometric methods In summary MDM E3 provides annual comprehensive forecasts to the year 2030 for industry output prices exports imports and employment at a 86 industry level for household expenditure by 51 categories for investment by 27 investing sectors for the nine former Government Office Regions Wales Scotland and

    Original URL path: http://www.camecon.com/MacroSectoral/MacroSectoraluk/ModellingCapability/MDM-E3UKMultisectoralDynamicModel.aspx (2016-02-14)
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  • The Local Economy Forecasting Model (LEFM)
    a local level However the task of collating and organising the data is substantial Gaps need to be filled in Consistency with more recent national and regional data need to be assured For forward looking analysis knowledge of the local area needs to be combined with knowledge of regional national and international trends For local impact analysis a model structure with the relevant links and parameter estimates need to be established The scale of this task can be daunting and often means that corners must be cut or external consultants brought in This can leave in house staff without the knowledge needed to interpret or update the analysis LEFM simplifies the process of anticipating and planning for what will happen in local economies by providing an efficient means of generating economic scenarios It draws on the considerable experience held by Cambridge Econometrics and the Institute for Employment Research the joint developers of LEFM in sectoral and labour market analysis at the European national and regional level LEFM s features and capabilities Purpose and design Using LEFM Examples of projects using LEFM LEFM s features and capabilities LEFM provides a comprehensive database of economic labour market and demographic data consistent with regional and national totals a stand alone model providing forecasts of local economic and labour market indicators linked explicitly to national and regional forecasts an efficient means of generating economic projections for the local economy a fully causal transparent modelling framework that enables results to be easily traced back to assumptions see figure below fully specified links to regularly updated authoritative forecasts at the national and regional level easy updating allowing the user to store build on and reassess previous analysis substantial sectoral detail so that projections can be identified closely with major local developments for more information click here

    Original URL path: http://www.camecon.com/SubNational/SubNationalUK/ModellingCapability/LEFM/LEFMOverview.aspx (2016-02-14)
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  • IPM: Integrated spatial policy model
    of on the one hand the scale and location of population and on the other the scale and location of employment are made independently of one another or with little attempt to capture the important links between them the result is that for example housing strategy is developed without taking account of the scale and location of the jobs where people will work economic and demographic projections for areas pay little or no attention to economic geography and in particular to the spillover effects from one area to another for example provision of housing in one area increases the supply of labour available to work in another area which is within commuting range transport and land use models seek to capture these effects because they are critical to an understanding of how many trips will be generated but the focus in such models is on the detailed demands that will be placed on the transport network such models typically either take the location of population and employment as given or are implemented in great detail for a particular travel to work area and not suitable for developing spatial and economic strategy Distinctive features of the IPM approach the IPM determines the location of population and employment simultaneously with the results for one area determined by and having an influence on the results for neighbouring areas where neighbouring is measured with reference to travel time its neighbourhood effects include the link between the availability of labour supply for employment in locations to which commuting is feasible and the location of housing the demand for local goods and services notably for public services and retailing the cluster benefits of co location it incorporates a concept of economic distance which depends on the transport network but does not duplicate the detailed trip generation

    Original URL path: http://www.camecon.com/SubNational/SubNationalUK/ModellingCapability/IPM.aspx (2016-02-14)
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  • The Chelmer Population and Housing Model
    regional housing model that can be tailored to produce forecasts for specific local areas The model was originally developed over many years by the Population and Housing Research Group at Anglia Ruskin University under the leadership of Professor Dave King Cambridge Econometrics became custodian of the model in 2008 since when the company has invested strongly in the development of this powerful tool Features of the model Key features of the model include provides projections of population housing numbers household composition and labour supply identifies household numbers disaggregated by type eg single married etc allows for the running of what if scenarios operates at different spatial levels region county unitary authority district projections can be migration led housing led or population led user friendly software application to facilitate in house analysis providing a range of summary detailed results tables Broad structure of the model The model projects the change in the population between two dates by calculating births deaths outmigrants and inmigrants The projection of private households is made from the private household population through assumptions for age gender specific headship rates The implied increase for the number of dwellings is then derived from assumptions for rates of sharing dwellings

    Original URL path: http://www.camecon.com/SubNational/SubNationalUK/ModellingCapability/Chelmer_Model.aspx (2016-02-14)
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  • REEIO regional energy-environment-economy
    Overview REEIO The Regional Economy Environment Input Output Model REEIO is a unique decision toolkit designed to assist policy makers analyse regional policies and programmes with regard to the economy and environment It provides a firm basis for sustainability appraisal strategic environmental assessment and benchmarks for the resource productivity of businesses and sectors REEIO was originally developed by Cambridge Econometrics as part of the Reward project a partnership led by the Environment Agency EA with the participation of Regional Development Agencies and the National Assembly for Wales More recently REEIO was supported by SCPnet Scope of REEIO The links between the economy and the environment are vast and too complex REEIO focuses on one particular set of links namely those between the economy and source and sink functions of the environment Furthermore REEIO is focused in which of these links it encompasses modelling the links between a region s economy and the key environmental pressures of waste energy emissions to air and water demand The model provides annual comprehensive long term projections for a wide range of indicators including GVA personal incomes consumer spending and investment output and employment by industry employment by occupations waste arising by waste streams and

    Original URL path: http://www.camecon.com/EnergyEnvironment/EnergyEnvironmentUK/ModellingCapability/Reeio/ReeioOverview.aspx (2016-02-14)
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