How have the estimated values of the PCE(-1) and REGRESSION coefficients changed from the base model reported in Project 1?

NEW MODEL

gretl: model 1 0 X File Edit Tests Save Graphs Analysis LaTex Model 1: 015, using observations 1961-2019 (T = 59) Dependent variable: PCE coefficient std. error t-ratio p-value const 2. 31649 1 . 08111 2. 143 0 . 0367 PPI -0. 0475959 0 . 0472291 -1. 008 0. 3181 M3 0 . 173205 0. 0680178 2.546 0 . 0138 Recession -2.39743 0 . 597541 -4 . 012 0. 0002 Unemp -0. 183710 0 . 139964 -1 . 313 0. 1950 PCE 1 0 . 381615 0 . 125448 3. 042 0 . 0036 Mean dependent var 3. 252542 5.D. dependent var 1. 746855 Sum squared resid 85 . 52082 5.E. of regression 1. 270276 R-squared 0 . 516796 Adjusted R-squared 0 . 471211 F (5, 53) 11 . 33692 P-value (F) 1. 83e-07 Log-likelihood -94.66843 Akaike criterion 201.3369 Schwarz criterion 213.8021 Hannan-Quinn 206.2028 rho -0. 179917 Durbin's h -5. 168076 Excluding the constant, p-value was highest for variable 2 (PPI)gretl: model 1 0 X File Edit Tests Save Graphs Analysis LaTex Model 1: OLS, using observations 1961-2021 (T = 61) Dependent variable: PCE coefficient std. error t-ratio p-value const 1. 81284 0. 661749 2.739 0. 0082 M3 0. 113155 0. 0665900 1. 699 0. 0947 Recession -3. 49903 0. 669181 -5.229 2.53e-06 1 PCE 1 0. 315747 0. 111127 2. 841 0. 0062 Mean dependent var 3. 213115 5. D. dependent var 2. 034001 Sum squared resid 155. 2642 5.E. of regression 1. 650434 R-squared 0. 374514 Adjusted R-squared 0. 341593 F (3, 57) 11. 37636 P-value (F) 5.97e-06 Log-likelihood -115. 0500 Akaike criterion 238. 1000 Schwarz criterion 246.5435 Hannan-Quinn 241. 4091 rho -0.250338 Durbin's h -3. 936468