We propose a framework for consistently evaluating core inflation measures via a straightforward application of sound statistical inference principles. Under this framework, inflation measures (both headline and core) are regarded as estimators tracking the economy's true, unobserved inflation...

The research objective of the present study is the development of a model for increased accuracy of steel-price forecasts, which is of paramount importance for firms who use steel as an input and thus need to make informed decisions with regard to an optimal amount and type of hedge against...

Macroeconomic researchers use a variety of estimators to parameterise their models empirically. One such is FIML; another is a form of indirect inference we term "informal" under which data features are "targeted" by the model -i.e. parameters are chosen so that model-simulated features...