Oxfordshire LEP LIS
Oxfordshire is a globally-renowned county with one of the strongest economies in the UK, with a successful record securing investment to promote growth.
Our team has a broad range of econometric and data analytics expertise that we use to help our clients answer important questions. We generate leading insights from our analysis to support governments, regulatory bodies and firms in their strategic decisions.
We follow these key principles:
- Ensure our processes are transparent, flexible and robust
- Use cutting-edge modelling techniques
- Combine industry expertise through PwC’s global network
We have specialist capabilities in the following areas:
- Forecasting
- Benchmarking and efficiency analysis
- Causal impact assessment and appraisal
- Large scale data modelling and analysis
- Marketing effectiveness measurement
- Price elasticity and demand modelling
Forecasting
The future is never certain; using advanced econometric methods, we can pick up trends and signals and make projections of likely future scenarios that help answer your business questions.
Key questions we can help clients to answer:
- Forecasting demand: What will energy demand look like in the future? How will future postal volumes change given developments in e-commerce? How do you forecast passenger demand in the transport sectors?
- Macroeconomic forecasting: What are the short-term (<1 year), medium-term (1-5 years) and long-term (>5 years) projections for key macroeconomic variables such as GDP, inflation, and house prices? How will these impact my business?
- Revenue and price forecasting: How do competitors’ pricing decisions affect our revenues? How do we set prices that maximise our profits?
House price forecasting
How do you build a robust long term forecasting model to inform your commercial strategy? This was the exam question asked by a UK financial services group. We helped our client build an econometric model to forecast house prices over the next fifty years using our expertise in machine learning and Monte-Carlo simulation.
Mixed marketing modelling (MMM) for maximum marketing effectiveness
We recently supported a major airline assess their return on investment from historical marketing expenditure and helped them optimize their strategy going forward.
Impact Assessment of Growth Capital Lending
We assisted Santander in quantifying the impact of their growth capital lending on SMEs. We looked at the impact on revenue, profit and employment using a machine learning based propensity score model and distance-based methods.
Insights
4 results
BEIS - report on executive remuneration, share repurchases and investment
Research exploring whether share repurchases are used to meet performance targets of senior executives, and whether they displace investment.
Sizing the prize
What’s the real value of AI for your business and how can you capitalise?
Airports Commission
The purpose of the report is to present PwC’s findings based on our research into the wider economic impacts of aviation capacity expansion on the UK economy.
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