Global Industry Model An integrated model covering over {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/341').'XX sectors', '{{XX sectors}}')}} manufacturing and service sectors in {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/341').'XX countries covered', '{{XX countries covered}}')}} major countries and the Eurozone, our industry model uses demand as its key input. Other variables, such as exchange rates and commodity prices, are used when appropriate. These data points run off our latest economic forecasts from our linked Global Economic Model, and generate projections of output by industry and subsector. The model is based on {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/341').'GIM / XXXX indicies', '{{GIM / XXXX indicies}}')}} indices, prices, and input-output tables, and it makes use of NACE industrial classifications. Service Features Comprehensive industry coverage. For each country, we include {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/341').'GID / For each country, we cover XX goods-producing industries', '{{GID / For each country, we cover XX goods-producing industries}}')}} manufacturing industries, {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/341').'GID / XX service sectors', '{{GID / XX service sectors}}')}} service sectors, and other relevant series, such as car sales and steel production. The model focuses on forecasting output or value added by industry. Advanced model structure. The industry model produces forecasts of value-added output by industry (as well as several other indicators) based on an input-output framework. It is built around quarterly data for {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/341').'GIM / quarterly data for XX countries', '{{GIM / quarterly data for XX countries}}')}} countries and annual data for {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/341').'GIM / annual data for XX countries', '{{GIM / annual data for XX countries}}')}} countries from 1980 to {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/341').'GIM / forcasts out to', '{{GIM / forcasts out to}}')}}. Regularly updated. Historical data and forecasts are updated each quarter, feeding in the latest monthly economic data. An economist reviews industry forecasts from the model to ensure they are consistent with our global assumptions and country projections. Simple-to-use software. Quickly build scenarios, export data, load predefined scenarios, and present data as charts, heat maps, and dashboards. Comprehensive training and support. We provide in-house training and offer regular seminars for model users. Modeling Expertise Our models provide a robust and transparent framework to quantify the impact of global events on a consistent basis down to individual sectors and local markets. Global Economic Model. The world’s leading globally integrated macro model, the model replicates the world economy by interlinking {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/776').'GEM / XX countries', '{{GEM / XX countries}}')}} countries, six regional blocs, and the Eurozone. Global Industry Model. The industry model can be run in parallel with the economic model, allowing modeling and scenarios for {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/341').'GIM / scenarios for XX countries', '{{GIM / scenarios for XX countries}}')}} countries and {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/341').'XX sectors', '{{XX sectors}}')}} sectors. Cities and regions. Assumptions generated by the economic model are fed into our forecasts for almost {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/761').'Number of cities & regions', '{{Number of cities & regions}}')}} cities and regional locations around the world. For more information or to apply for a free trial, visit www.oxfordeconomics.com or contact your nearest Oxford Economics office below.
Desktop application that allows users to changes assumptions to create their own scenarios and test their implications across all economies in the model. Country Coverage The Global Industry Model covers {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/341').'XX countries covered', '{{XX countries covered}}')}} national economies, plus the Eurozone and aggregations. Europe: {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/341').'GIM / Country coverage / Europe', '{{GIM / Country coverage / Europe}}')}} Americas: {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/341').'GIM / Country coverage / Americas', '{{GIM / Country coverage / Americas}}')}} Middle East and Africa: {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/341').'GIM / Country coverage / Middles East and Africa', '{{GIM / Country coverage / Middles East and Africa}}')}} Asia Pacific: {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/341').'GIM / Country coverage / Asia Pacific', '{{GIM / Country coverage / Asia Pacific}}')}} Aggregations: {{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/341').'GIM / Country coverage / Aggregations', '{{GIM / Country coverage / Aggregations}}')}} Sector Coverage NACE Rev. 2 statistical classification of economic activities: 85 manufacturing sectors (with splits for metals, chemicals, motor vehicles, engineering & metal goods, electronics & computers, textiles & clothing, Indicators included For each of 100 industries by sector: Investment, total (nominal LCU and US$, real LCU and US$), Production, value added output (% of GDP, % of manufacturing, % of world, LCU, US$, index), Sales, gross output (nominal LCU and US$, real LCU and US$). Macro drivers: Consumption (government, private), Exchange rate period average vs US$, Exports of goods and services, real GDP, Imports of goods and services, Industrial production index, Investment, Prices (consumer index, producer index).
Regular reports describe our assumptions and forecasts in detail, and assess key indicators under alternate economic scenarios.
Copyright {{=ifError(nearestNamedReferenceKey('https://data.app.lucidpress.com/dataSets/413').'Copyright year', '{{Copyright year}}')}} Oxford Economics. Correct at the time of publication. Last updated: 13/09/2019
OXFORD +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Oxford', '{{Oxford}}')}} LONDON +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'London', '{{London}}')}} FRANKFURT +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Frankfurt', '{{Frankfurt}}')}} NEW YORK +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'New York', '{{New York}}')}} SINGAPORE +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Singapore', '{{Singapore}}')}} BELFAST +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Belfast', '{{Belfast}}')}} PARIS +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Paris', '{{Paris}}')}} MILAN +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Milan', '{{Milan}}')}} STOCKHOLM +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Stockholm', '{{Stockholm}}')}} DUBAI +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Dubai', '{{Dubai}}')}} CAPE TOWN +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Cape Town', '{{Cape Town}}')}} BOSTON +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Boston', '{{Boston}}')}} PHILADELPHIA +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Philadelphia', '{{Philadelphia}}')}} CHICAGO +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Chicago', '{{Chicago}}')}} LOS ANGELES +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Los Angeles', '{{Los Angeles}}')}} TORONTO +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Toronto', '{{Toronto}}')}} MEXICO CITY +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Mexico City', '{{Mexico City}}')}} TOKYO +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Tokyo', '{{Tokyo}}')}} HONG KONG +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Hong Kong', '{{Hong Kong}}')}} SYDNEY +{{=ifError(nearestNamedReferenceKey('https://data.lucidpress.com/dataSets/348').'Sydney', '{{Sydney}}')}}
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