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Table 6 Results of ARDL equation

From: Effects of health on changing labor force participation in Pakistan

Dependent variable: ∆ log (LFPR) t

Variable

Coefficient

Std. Error

t-Statistic

Prob.

C

6.336

2.624

2.414

0.094

LOG(LFPR t-1)

−1.258

0.217

−5.774

0.010

LOG(AD t-1)

−0.082

0.253

−0.327

0.764

LOG(HEXP t-1)

−0.012

0.016

−0.722

0.522

LOG(IMR t-1)

−0.653

0.206

−3.159

0.050

LOG(GCF t-1)

−0.137

0.033

−4.044

0.027

LOG(LE t-1)

0.745

0.427

1.745

0.179

LOG(PPBED t-1)

0.027

0.114

0.241

0.824

LOG(SSE t-1)

−0.220

0.059

−3.733

0.033

LOG(TOP t-1)

−0.170

0.032

−5.217

0.013

∆LOG(LFPR t-1)

0.124

0.084

2.852

0.074

∆LOG(AD t-1)

−0.019

0.017

−1.088

0.356

∆LOG(HEXP t-1)

1.017

0.202

5.029

0.015

∆LOG(IMR t-1)

−0.147

0.026

−5.563

0.011

∆LOG(GCF t-1)

−0.001

0.233

−2.189

0.074

∆LOG(LE t-1)

0.179

0.079

2.264

0.108

∆LOG(PPBED t-1)

0.171

0.044

3.858

0.030

∆LOG(SSE t-1)

−0.095

0.022

−4.275

0.023

∆LOG(TOP t-1)

0.442

0.235

2.880

0.032

11. Model criteria/Goodness of Fit:

R-square = 0.940; Adjusted R-square = 0.871; Wald F-statistic = 11.236 [0.001]**

111. Diagnostic Checking:

JB = 8.172 [0.1334]; LM-1 = 1.064 [0.3117]; LM-2 = 0.705 [0.503]; LM-3 = 0.491 [0.691]; ARCH (1) = 0.238 [0.627]; ARCH-2 = 1.044 [0.360]; ARCH-3 = 0.699 [0.562]; White Heteroscedasticity = 0.404 [0.971]; Ramsey RESET = 2.009 [0.155]

  1. Note: Probability values are quoted in square brackets. MA and ARCH denote LM-type Breusch-Godfrey Serial Correlation LM and ARCH test, respectively, to test for the presence of serial correlation and ARCH effect. JB and RESET stand for Jarque-Bera Normality Test and Ramsey Regression Specification Error Test, respectively.