From: Tax avoidance and earnings management: a neural network approach for the largest European economies
Paper/sample | Variables | Results |
---|---|---|
Dhaliwal et al. (2004) USA 1986–1999 4656 firm-year observations Internal Revenue Service, Compustat and I/B/E/S | Y: change in ETR X: EM, measured as accruals (total accruals scaled by pre-tax book income) or deferred tax (deferred tax expense scaled by pre-tax income) | Both measures of EM (accruals and tax deferred) positively affect the change in ETR |
Frank et al. (2009) USA 1991–2005 49,886 firm-years (8100 firms) Compustat | Y: tax reporting aggressiveness (several measures) X: aggressive financial reporting, measured as discretionary accruals (Jones model with lagged return-on-assets -Kothari et al. (2005)) | Positive relationship between accounting aggressiveness and tax aggressiveness |
Blaylock et al. (2012) USA 1993–2005 12,585 observations Compustat and Center for Research in Security Prices (CRSP) database | They study the most aggressive companies: those with higher BTD with positive sign and those with low ETRs (using a long-term cash taxes paid for 5 years) EM, measured as discretionary accruals (Jones model with lagged return-on-assets -Kothari et al. (2005)) | The most tax aggressive companies incur more practices of EM and tax avoidance |
Goh et al. (2013) USA 2000–2010 2539–4513 firm-year observations Audit Analytics, Compustat, I/B/E/S, and Thomson Reuters databases | Y: tax aggressiveness (not ETR) X: EM (several proxies) | Positive relationship between EM and tax aggressiveness |
Kim and Zhang (2016) USA 1999 to 2009 32,898 firm–year observations Compustat and CRSP database | Y: tax aggressiveness (several measures) X: EM, measured as discretionary accruals (performance adjusted modified cross-sectional Jones model) | EM positively affects tax aggressiveness |
Kubick and Masli (2016) USA 1994–2012 13,532 observations Compustat and Execucomp databases | Y: tax aggressiveness (not ETR) X: EM, measured as discretionary accruals (calculated following Frank et al. (2009)) | EM positively affects tax aggressiveness |
Richardson et al. (2016) China 2005–2010 1,242 firm-years China Stock Market and Accounting (CSMAR) and Sinofin databases | Y: tax avoidance: two ETR measures and two book–tax gap (BTG) measures X: EM, measured as discretionary accruals (modified Jones model from Dechow et al. (1995)) | Accruals positively affect both measures of ETR, but not other measures of tax avoidance (BTG) |
Guenther et al. (2017) USA 1987–2011 Between 4456 and 32,023 firm-years CRSP/Compustat merged database from 1987 to 2011 | Y: tax avoidance (several measures) X: EM, measured as discretionary accruals (modified Jones model from Dechow et al. (1995)) | EM negatively affects total tax expense (GAAP_ETR) and cash taxes paid (CASH_ETR), but not other measures of tax avoidance (Long-Run ETR, Discretionary Permanent Book-Tax Differences [DTAX], Unrecognised Tax Benefit [UTB]) |
Tang et al. (2017) China 1999–2006 5201 firm-year observations CSMAR database | Y: tax avoidance: modified ETR (ratio ETR to statutory tax rate [STR]) and BTD X: EM, measured as discretionary accruals (Jones model modified by Dechow et al. (1995)) | Accruals positively affect both measures of tax avoidance |
Kałdoński and Jewartowski (2020) Poland 2005–2017 1149 firm-year observations Capital IQ database | Y: tax avoidance, measured as difference between average industry-size matched GAAP_ETR and the firm's GAAP_ETR X: real EM, calculated following the models proposed by Roychowdhury (2006) | EM positively affects GAAP_ETR (EM negatively affects tax avoidance) |
Wang and Mao (2021) China 2003–2015 9,428 firm-year observations CSMAR database | Y: tax avoidance, two BTG measures and two ETR measures X: EM calculated following the models proposed by Roychowdhury (2006) | EM negatively affects tax avoidance |