This paper presents version 4.0 of the CIT-IRP5 firm-level panel dataset. Version 4.0 is the latest edition of the firm-level component of the combined administrative data using sources from the South African Revenue Service. We show that differences in forms and vintages do generally not...

The South African Revenue Service and National Treasury Firm-Level Panel is an unbalanced panel data set created by merging several sources of administrative tax data received during 2015. The four data sources that constitute the panel are: (i) company income tax from registered firms who...

The South African Revenue Service and National Treasury Firm-Level Panel is an unbalanced panel data set created by merging several sources of administrative tax data received during 2015. The four data sources that constitute the panel are: (i) company income tax from registered firms who...

We introduce a general framework for analyzing large-scale text-based data, combining the strengths of neural-network language processing and generative statistical modeling. Our methodology generates textual factors by (i) representing texts using vector word embedding, (ii) clustering words...

Our paper analyses confidential letters sent from the Bank of England's Prudential Regulation Authority (PRA) to banks and building societies it supervises. These letters are a ‘report card' written to firms annually, and are arguably the most important, regularly recurring written...

Stata is fast, often very fast. However, when performing regressions on small sub-samples within a large host dataset (more than 1 million observations) performance can deteriorate by many orders of magnitude. For example, an OLS regression on a sub-sample of 100 consecutive observations takes...

This paper presents version 4.0 of the CIT-IRP5 firm-level panel dataset. Version 4.0 is the latest edition of the firm-level component of the combined administrative data using sources from the South African Revenue Service. We show that differences in forms and vintages do generally not...

The transportation sector is a major contributor to greenhouse gas (GHG) emissions and is a driver of adverse health effects globally. Increasingly, government policies have promoted the adoption of electric vehicles (EVs) as a solution to mitigate GHG emissions. However, government analysts...

I propose a new methodology to construct interpretable, fundamental-based pricing factors from news to explain Bitcoin returns. Each news article from a specialized cryptocurrency website is classified in a semi-supervised manner into one of the few predefined topics. Topic sentiments become...

Usually, offcial and survey-based statistics guide policy makers in their choice of response instruments to economic crises. However, in an early phase, after a sudden and unforeseen shock has caused incalculable and fast-changing dynamics, data from traditional statistics are only available...