Table 1. Semi-parametric production...

Table 1.

Semi-parametric production function estimates

	Manufacturing		Industries according to their technological intensity
Estimators	All firms		Low-tech industry		Medium-low tech industry		Medium-high and high-tech industry
	LP	WDRG	LP	WDRG	LP	WDRG	LP	WDRG
kit	0.117^***	0.061^***	0.136^***	0.093^***	0.069^***	0.046^***	0.125^***	0.046^***
	(0.017)	(0.008)	(0.019)	(0.0.018)	(0.024)	(0.010)	(0.043)	(0.013)
lit	0.330^***	0.344^***	0.288^***	0.302^***	0.335^***	0.343^***	0.424^***	0.460^***
	(0.010)	(0.007)	(0.013)	(0.009)	(0.019)	(0.012)	(0.028)	(0.018)
mit	0.244^***	0.197^***	0.260^***	0.1945^***	0.250^***	0.202^***	0.196^***	0.183^***
	(0.008)	(0.013)	(0.012)	(0.021)	(0.025)	(0.021)	(0.050)	(0.0.028)
Wald test CRS (p-value)	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
Observations	36,061	28,602	17,908	14,225	10,570	8,376	7,583	5,996

	Manufacturing		Industries according to theirtechnological intensity
Estimators	All firms		Low-techindustry		Medium-lowtech industry		Medium-high andhigh-tech industry
	LP	WDRG	LP	WDRG	LP	WDRG	LP	WDRG
kit	0.117^***	0.061^***	0.136^***	0.093^***	0.069^***	0.046^***	0.125^***	0.046^***
	(0.017)	(0.008)	(0.019)	(0.0.018)	(0.024)	(0.010)	(0.043)	(0.013)
lit	0.330^***	0.344^***	0.288^***	0.302^***	0.335^***	0.343^***	0.424^***	0.460^***
	(0.010)	(0.007)	(0.013)	(0.009)	(0.019)	(0.012)	(0.028)	(0.018)
mit	0.244^***	0.197^***	0.260^***	0.1945^***	0.250^***	0.202^***	0.196^***	0.183^***
	(0.008)	(0.013)	(0.012)	(0.021)	(0.025)	(0.021)	(0.050)	(0.0.028)
Wald test CRS (p-value)	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
Observations	36,061	28,602	17,908	14,225	10,570	8,376	7,583	5,996

Notes:

Robust standard errors clustered at the firm level in parentheses with 300 bootstrapped for the LP estimation. For the WDRG estimation, the GMM option is used. CRS is the constant returns to scale test. All estimations include city, industry and year FE;

***

p < 0.01

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