Interpretation is central to the social scientist's process of analysis, regardless of whether that analysis relies on quantitative or qualitative data. This essay presents a "reconstructed logic" of ...

While Python is an all-purpose general programming language, its success has mostly been in the arena of data analysis (including by academics), thanks to its compact, abstracted libraries that ...

Elemental analysis methods are used to determine the elemental composition of a substance and the concentration of each element present. However, there are two different subsets: one for determining ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation We develop a semi-structural quantitative framework that combines micro and macroeconomic data to assess the effectiveness ...

Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API,  with Python via the BQL Object ...

Throughout most of human history, events and phenomena of interest have been characterized using space and time as their major characteristic dimensions, in either absolute or relative ...