{'fraction_non_alphanumeric': 0.006472491909385114, 'fraction_numerical': 0.0, 'mean_word_length': 6.034090909090909, '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}}
Applying thresholds effect regression to analyze retained earnings of American manufacturing industry

Abstract The main issue of this paper is how the financial ratios affect the operational performance under the fluctuation of the debt ratio. The inflexibility of the traditional regression is illustrated and results are compared to flexible threshold effect regression. This approach calculates robust threshold value from outcome of repeated bootstrapping. The empirical results demonstrate the existence of single threshold value and the comparison between traditional regression and threshold effect regression.