Exact(11)
Binary industry variables and occupations are shown in Additional file 1: Table S1.
Binary industry variables and occupations are shown in the Additional file 1: Table S1.
In such a price-sensitive industry, variables such as the supply of silicon feedstock could jeopardise the sector's competitiveness.
As for industry variables, three of them have shown statistical significance in our four models: finance, commerce, and hybrid business.
First, our analysis of these person and firm effects in relation to industry variables is not causal.
Especially occupation and industry variables are recorded with three digits in KLIPS, but in one digit and two digits in HIES, respectively.
Similar(49)
A similar response rate is found in the industry variable (25%).
The industry variable (0.9056061) indicates that most observations fall in industries belonging to high environmental impact industries.
For comparison, majority of other countries' studies on intergenerational elasticity with two-sample estimation, documented in Table 5, did not use an industry variable to predict fathers' earnings.
In addition, first-stage results from Table 4 show that the industry variable explains relatively less variations in earnings than occupation or education does, which could result in a higher (hat {rho }_{1}) of 0.59.
The second exclusion restriction is a relative firm-to-industry variable.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com