Sentence examples for industry effects from inspiring English sources

The analysis considers both country and industry effects.

Moulton et al. (1996) further argue that firm effects dominate industry effects in explaining failure.

To this end, we initially control for firm size and industry effects in our empirical specifications.

As the data were collected from various industries, they were tested in further regression analysis for possible industry effects.

Empirical tests support our hypothesis, even after controlling for risk, firm size, time-to-maturity, and industry effects.

We identified the primary two-digit code for every company and, to control for industry effects, retained only industries with more than 10 such firms.

We call the properly defined industry effect a "pure industry effect".

Put simply, the raw industry effect, κ∗∗, equals the true industry effect κ plus a bias that is exactly the aliasing bias from excluding person and firm effects from the original regression.

Deumes and Knechel use dummy variables to control for industry effect, but we use the industry average MBR (IndMBR) instead, as it is more succinct.

Denote the pure industry effect, conditional on the same information as in equations (4) and (5), as κ k for some industry classification k = 1, …, K. Our definition of the pure industry effect is simply the correct aggregation of the pure firm effects within the industry.

When it comes to establishing efficiency effects from foreign direct investment, the literature gives two general outcomes: (1) horizontal or inter-industry effects and (2) vertical or intra-industry effects.