{'fraction_non_alphanumeric': 0.02145922746781116, 'fraction_numerical': 0.0, 'mean_word_length': 5.577464788732394, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A structural factor-augmented vector error correction (SFAVEC) model approach: an application to the UK

This note presents a new structural factor-augmented vector error correction model approach to solve the limited information problem present in traditional vector error correction models. We apply this approach to the UK and obtain a reasonable characterization of the long-run equilibrium concerning real activity, taxation, inflation and the rate of interest.