Special Edition-07.pdf - Lahore School of Economics

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230 Mehak Ejaz Pakistan (Probit) Dependent variable: LFP Number of observations = 115077 Scaled R-squared = .168659 Number of positive obs. = 16801 LR (zero slopes) = 19060.7 [.000] Mean of dep. var. = .145998 Schwarz B.I.C. = 38377.5 Sum of squared residuals = 11136.7 Log likelihood = -38307.6 R-squared = .225859 Fraction of Correct Predictions = 0.871929 Parameter Coefficients S. Error t-statistic P-value C -1.878 0.0265 -70.96 [.000] Age 0.017 0.0006 26.29 [.000] Marital -0.214 0.0150 -14.29 [.000] School 0.022 0.0015 14.75 [.000] W_People 0.511 0.0044 116.06 [.000] F_Size -0.134 0.0021 -65.33 [.000] F_Type 0.097 0.0128 7.54 [.000] Vehic 0.072 0.0055 13.04 [.000] Tech -0.235 0.0082 -28.66 [.000] F_Head 0.497 0.0221 22.49 [.000] INF_F 0.365 0.0123 29.74 [.000] INF_F2 -0.044 0.0025 -17.26 [.000] Note. β (C) = Estimated logistic coefficient of each variable (it can be interpreted as the changein the log odds associated with a one-unit change in the independent variable) S.E = Standard error of estimates Sig = Significance value or p value {this value is compared with the significance level(α ) to determine whether each independent variable is significant or not in the model. If the significance (p) value of a variable is less than the designated value of α (1% or 5% or 10%), the corresponding variable is significant} R I = partial correlation associated with the explanatory variable I, its value represents how much each variable contributes in this model.
Determinants of Female Labor Force Participation in Pakistan 231 PAKISTAN (logit) Dependent variable: LFP Number of observations = 115077 Scaled R-squared = .177273 Number of positive obs. = 16801 LR (zero slopes) = 20014.6 [.000] Mean of dep. Var. = .145998 Schwarz B.I.C. = 37900.6 Sum of squared residuals = 10972.2 Log likelihood = -37830.7 R-squared = .236099 Number of Choices = 230154 Fraction of Correct Predictions = 0.873511 Parameter Coefficients S. Error t-statistic P-value C-1 -3.2658 0.0507 -64.45 [.000] Age-1 0.0309 0.0012 26.37 [.000] Marital-1 -0.4253 0.0279 -15.26 [.000] School-1 0.0462 0.0027 16.80 [.000] W_People-1 0.9936 0.0089 112.12 [.000] F_Size-1 -0.2892 0.0043 -67.13 [.000] F_Type-1 0.2193 0.0242 9.05 [.000] Vehic-1 0.1191 0.0102 11.67 [.000] Tech-1 -0.4283 0.0157 -27.25 [.000] F_Head-1 0.9708 0.0402 24.13 [.000] INF_F-1 0.7535 0.0231 32.58 [.000] INF_F2-1 -0.0892 0.0048 -18.46 [.000]
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Special Edition ISSN 1811-5438 THE
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THE LAHORE JOURNAL OF ECONOMICS Con
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Monetary, Fiscal and Financial Sect
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The Lahore Journal of Economics Spe
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Reforming the Government in Pakista
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18 A. R. Kemal export product would
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22 A. R. Kemal Rank Score Efficienc
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24 A. R. Kemal while productivity g
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26 A. R. Kemal across the globe whi
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Increasing Global Competitiveness:
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Monetary and Fiscal Policies 45 sys
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Monetary and Fiscal Policies 47 200
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Monetary and Fiscal Policies 49 (es
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Monetary and Fiscal Policies 51 The
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Monetary and Fiscal Policies 53 The
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Monetary and Fiscal Policies 55 Thi
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Monetary and Fiscal Policies 57 Whi
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Monetary and Fiscal Policies 59 exc
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Monetary and Fiscal Policies 61 mat
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Monetary and Fiscal Policies 63 Tax
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Monetary and Fiscal Policies 65 Ref
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68 Shakil Faruqi Currently, the fin
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74 Shakil Faruqi The financial stre
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80 Shakil Faruqi change of this mag
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94 Shakil Faruqi Crockett, Andrew:
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96 Shakil Faruqi State Bank of Paki
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98 Muhammad Arshad Khan and Sajawal
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100 Muhammad Arshad Khan and Sajawa
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Pakistan’s External Trade: Does E
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Implications for Economic Reforms i
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Economic Effects of the Recently Si
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