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P. 165

NTU Management Review Vol. 35 No. 2 Oct. 2025




                          Table 7 (continued)  Assessing Parallel Trend Assumptions

               Panel B: Significance Tests of Sum of Coefficients
                                         Coef.    t-stat  p-value    Coef.     t-stat  p-value
               UK + UK×POST             -0.313    -1.06    0.290
               UK + UK×YEAR_0506                                      0.652    1.47     0.144
               UK + UK×YEAR_0708                                      0.145    0.38     0.707
               UK + UK×YEAR_0910                                     -0.037   -0.07     0.943
               UK + UK×YEAR_1112                                     -1.056   -2.59     0.010
               UK + UK×YEAR_1314                                     -0.550   -1.89     0.061
               Notes: This table presents the results of the multivariate analysis of parallel trend assumptions.
                    Panel A presents the regression results, and Panel B details whether the sums of the
                    coefficients of interest are significant. DISPERSION is the dispersion of analyst forecasts,
                    measured as the standard deviation of individual analysts’ forecasts scaled by the absolute
                    value of the mean EPS forecast. POST equals one after 2005 and zero otherwise. PRE is
                    an indicator variable that equals one two years before IFRS adoption and zero otherwise. In
                    Column (2), we replace POST with a vector of time-period indicator variables: YEAR_0506,
                    YEAR_0708, YEAR_0910, YEAR_1112, and YEAR_1314. YEAR_0506 equals one for the
                    period 2005-2006 and zero otherwise; all other time-period indicator variables are defined
                    accordingly. The t-statistics are calculated using robust standard errors clustered at the firm
                    level.




































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