Table A1.5.

Aggregated Data on the Manufacturing Sector—Robustness Checks with Alternative Measures of GDPs

GDP in PPP from the WDIGDP in PPP from the Maddison database
(1)(2)(3)(4)(5)(6)(1)(2)(3)(4)(5)(6)
GDP−137.27***−139.09***−165.70***−163.50***−152.54***−165.95***−131.06***−132.11***−145.17***−141.87***−134.58***−122.37**
(49.92)(49.35)(51.95)(53.32)(45.92)(49.19)(45.48)(44.89)(50.00)(47.14)(45.27)(60.31)
GDP28.86***8.93***10.53***10.48***9.76***10.61***8.42***8.45***9.21***9.03***8.47***8.10**
(3.11)(3.09)(3.23)(3.38)(2.90)(3.17)(2.88)(2.85)(3.14)(3.01)(2.92)(3.90)
I/Y0.831.501.742.372.821.712.663.153.512.27
(1.82)(2.03)(2.53)(2.47)(2.37)(1.64)(2.13)(2.91)(2.89)(2.39)
School0.170.86−1.850.680.651.871.11−0.74
(2.74)(2.87)(3.01)(3.41)(2.11)(2.06)(2.37)(3.78)
OPENT0.030.01−0.07−0.10−0.12**−0.08
(0.07)(0.06)(0.05)(0.06)(0.06)(0.05)
OPENK1.601.630.860.970.881.21
(1.16)(1.10)(1.03)(0.90)(0.88)(1.05)
Urban0.730.070.110.20
(0.46)(0.35)(0.36)(0.36)
Work.Age1.412.49***0.602.69***
(0.96)(0.85)(0.56)(0.95)
G/Y20.829.29
(17.59)(19.07)
Asso.2.56**3.23***
(1.00)(0.98)
Country FEYesYesYesYesYesYesYesYesYesYesYesYes
Time FEYesYesYesYesYesYesYesYesYesYesYesYes
R-sq.0.790.790.780.780.800.820.720.720.700.740.750.80
No. of Obs.554554497469469425883883804606606426
GDP in PPP from the WDIGDP in PPP from the Maddison database
(1)(2)(3)(4)(5)(6)(1)(2)(3)(4)(5)(6)
GDP−137.27***−139.09***−165.70***−163.50***−152.54***−165.95***−131.06***−132.11***−145.17***−141.87***−134.58***−122.37**
(49.92)(49.35)(51.95)(53.32)(45.92)(49.19)(45.48)(44.89)(50.00)(47.14)(45.27)(60.31)
GDP28.86***8.93***10.53***10.48***9.76***10.61***8.42***8.45***9.21***9.03***8.47***8.10**
(3.11)(3.09)(3.23)(3.38)(2.90)(3.17)(2.88)(2.85)(3.14)(3.01)(2.92)(3.90)
I/Y0.831.501.742.372.821.712.663.153.512.27
(1.82)(2.03)(2.53)(2.47)(2.37)(1.64)(2.13)(2.91)(2.89)(2.39)
School0.170.86−1.850.680.651.871.11−0.74
(2.74)(2.87)(3.01)(3.41)(2.11)(2.06)(2.37)(3.78)
OPENT0.030.01−0.07−0.10−0.12**−0.08
(0.07)(0.06)(0.05)(0.06)(0.06)(0.05)
OPENK1.601.630.860.970.881.21
(1.16)(1.10)(1.03)(0.90)(0.88)(1.05)
Urban0.730.070.110.20
(0.46)(0.35)(0.36)(0.36)
Work.Age1.412.49***0.602.69***
(0.96)(0.85)(0.56)(0.95)
G/Y20.829.29
(17.59)(19.07)
Asso.2.56**3.23***
(1.00)(0.98)
Country FEYesYesYesYesYesYesYesYesYesYesYesYes
Time FEYesYesYesYesYesYesYesYesYesYesYesYes
R-sq.0.790.790.780.780.800.820.720.720.700.740.750.80
No. of Obs.554554497469469425883883804606606426

Source: The labor share and I/Y come from the United Nations Industrial Development Organization (UNIDO); The GDP variables come from the World Development indicators (2013) and from the Maddison database (2003); School variable comes from the Barro and Lee database (2001); OPENT, Urban and Work.age variables come from the World Development Indicators; OPENK variable comes from Chinn and Ito (2006); G/Y variable comes from the Penn World Table (2015); Asso. Variable comes from the Cingranelli-Richards (CIRI) Human Rights Dataset (2010).

Note: Dependent variable = Ratio of total wage bill over value added (Labor share), in %; In the first 6th columns GDP = Logarithm of the GDP per capita (in 2005 PPP); In the last 6th columns GDP = Logarithm of the GDP per capita (in 1990 International Geary-Khamis dollars); I/Y = Ratio of investment over value added (at the aggregate manufacturing level); School = Average years of schooling in the total population aged 25 and more; OPENT = Ratio of imports plus exports over GDP, in %; OPENK = Index of financial openness; Urban = Share of urban population, in %; Work.Age = Share of population between the ages of 15 to 64, in %; G/Y = Ratio of government consumptions over GDP; Asso. = Freedom of assembly and association index; Clustered standard errors in brackets. *p < 0.10, **p < 0.05, ***p < 0.01.

Table A1.5.

Aggregated Data on the Manufacturing Sector—Robustness Checks with Alternative Measures of GDPs

GDP in PPP from the WDIGDP in PPP from the Maddison database
(1)(2)(3)(4)(5)(6)(1)(2)(3)(4)(5)(6)
GDP−137.27***−139.09***−165.70***−163.50***−152.54***−165.95***−131.06***−132.11***−145.17***−141.87***−134.58***−122.37**
(49.92)(49.35)(51.95)(53.32)(45.92)(49.19)(45.48)(44.89)(50.00)(47.14)(45.27)(60.31)
GDP28.86***8.93***10.53***10.48***9.76***10.61***8.42***8.45***9.21***9.03***8.47***8.10**
(3.11)(3.09)(3.23)(3.38)(2.90)(3.17)(2.88)(2.85)(3.14)(3.01)(2.92)(3.90)
I/Y0.831.501.742.372.821.712.663.153.512.27
(1.82)(2.03)(2.53)(2.47)(2.37)(1.64)(2.13)(2.91)(2.89)(2.39)
School0.170.86−1.850.680.651.871.11−0.74
(2.74)(2.87)(3.01)(3.41)(2.11)(2.06)(2.37)(3.78)
OPENT0.030.01−0.07−0.10−0.12**−0.08
(0.07)(0.06)(0.05)(0.06)(0.06)(0.05)
OPENK1.601.630.860.970.881.21
(1.16)(1.10)(1.03)(0.90)(0.88)(1.05)
Urban0.730.070.110.20
(0.46)(0.35)(0.36)(0.36)
Work.Age1.412.49***0.602.69***
(0.96)(0.85)(0.56)(0.95)
G/Y20.829.29
(17.59)(19.07)
Asso.2.56**3.23***
(1.00)(0.98)
Country FEYesYesYesYesYesYesYesYesYesYesYesYes
Time FEYesYesYesYesYesYesYesYesYesYesYesYes
R-sq.0.790.790.780.780.800.820.720.720.700.740.750.80
No. of Obs.554554497469469425883883804606606426
GDP in PPP from the WDIGDP in PPP from the Maddison database
(1)(2)(3)(4)(5)(6)(1)(2)(3)(4)(5)(6)
GDP−137.27***−139.09***−165.70***−163.50***−152.54***−165.95***−131.06***−132.11***−145.17***−141.87***−134.58***−122.37**
(49.92)(49.35)(51.95)(53.32)(45.92)(49.19)(45.48)(44.89)(50.00)(47.14)(45.27)(60.31)
GDP28.86***8.93***10.53***10.48***9.76***10.61***8.42***8.45***9.21***9.03***8.47***8.10**
(3.11)(3.09)(3.23)(3.38)(2.90)(3.17)(2.88)(2.85)(3.14)(3.01)(2.92)(3.90)
I/Y0.831.501.742.372.821.712.663.153.512.27
(1.82)(2.03)(2.53)(2.47)(2.37)(1.64)(2.13)(2.91)(2.89)(2.39)
School0.170.86−1.850.680.651.871.11−0.74
(2.74)(2.87)(3.01)(3.41)(2.11)(2.06)(2.37)(3.78)
OPENT0.030.01−0.07−0.10−0.12**−0.08
(0.07)(0.06)(0.05)(0.06)(0.06)(0.05)
OPENK1.601.630.860.970.881.21
(1.16)(1.10)(1.03)(0.90)(0.88)(1.05)
Urban0.730.070.110.20
(0.46)(0.35)(0.36)(0.36)
Work.Age1.412.49***0.602.69***
(0.96)(0.85)(0.56)(0.95)
G/Y20.829.29
(17.59)(19.07)
Asso.2.56**3.23***
(1.00)(0.98)
Country FEYesYesYesYesYesYesYesYesYesYesYesYes
Time FEYesYesYesYesYesYesYesYesYesYesYesYes
R-sq.0.790.790.780.780.800.820.720.720.700.740.750.80
No. of Obs.554554497469469425883883804606606426

Source: The labor share and I/Y come from the United Nations Industrial Development Organization (UNIDO); The GDP variables come from the World Development indicators (2013) and from the Maddison database (2003); School variable comes from the Barro and Lee database (2001); OPENT, Urban and Work.age variables come from the World Development Indicators; OPENK variable comes from Chinn and Ito (2006); G/Y variable comes from the Penn World Table (2015); Asso. Variable comes from the Cingranelli-Richards (CIRI) Human Rights Dataset (2010).

Note: Dependent variable = Ratio of total wage bill over value added (Labor share), in %; In the first 6th columns GDP = Logarithm of the GDP per capita (in 2005 PPP); In the last 6th columns GDP = Logarithm of the GDP per capita (in 1990 International Geary-Khamis dollars); I/Y = Ratio of investment over value added (at the aggregate manufacturing level); School = Average years of schooling in the total population aged 25 and more; OPENT = Ratio of imports plus exports over GDP, in %; OPENK = Index of financial openness; Urban = Share of urban population, in %; Work.Age = Share of population between the ages of 15 to 64, in %; G/Y = Ratio of government consumptions over GDP; Asso. = Freedom of assembly and association index; Clustered standard errors in brackets. *p < 0.10, **p < 0.05, ***p < 0.01.

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