Data that are either public or proprietary to Heteronomics can be shared with clients, including both quantitative and qualitative assessment of any historical inflation forecast changes. Moreover, underlying python script can often be shared with interested clients.
Premium services as standard
Calls, meetings, and even most bespoke requests are all included in subscriptions as standard. Clients enjoy premium services without the cost and hassle of making multiple payments, or the uncertain budgeting.
The Core model
Our relatively parsimonious core model is designed to be UK-centric in its depth, while also including key trading partners, like our wider research. It is estimated in python, with an excel front end, to make it easy to update in real time and respond to client demands.
An independent view is not enough to anticipate what policymakers will do in the short run. In order to understand how policymakers will process developments, we replicate crucial aspects of their models. For example, by identifying shocks and applying impulse response functions from the Bank of England's model, insights into the raw policy 'news' can be attained.
To support the core model with its processing of news in the higher frequency data and in areas not part of the 'core', peripheral models are needed. Where clients have specific requirements, these models can be expanded and new ones created to provide insights that fit the need.
Increased availability, reliability, and exploitability of data online are making it increasingly important for identifying underlying trends and tracking official releases. Raw materials, prices, and microdata are my focus.
There are many tools available to the modern data scientist beyond the standard econometric toolkit. Python programs can readily deploy powerful algorithms, with cloud computing able to take the computational strain.