Coverage and representativeness of Orbis data

Abstract

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The effect of energy prices and environmental policy stringency on manufacturing employment in OECD countries: Sector- and firm-level evidence

“…Table 5 shows the results of the baseline regressions. 11 Column 1 regresses firm employment on lagged energy prices and EPS simultaneously while columns 2 and 3 use energy prices and EPS separately. The results show that higher energy prices have a statistically significant and small positive effect on the employment level of surviving firms.…”

The changing characteristics of steel firms

“…Structural adjustment often implies the transition of workers to more productive plants, firms or industries. Efficiency gains and other aggregate benefits of restructuring are normally more diffused and therefore less visible than the costs imposed on workers, making the relevant reforms potentially difficult to implement (Andrews and Saia, 2017 [26] ). Adjustment also requires having a skilled workforce that allows the industry to respond to changes in the market and in technology.…”

“…As such, the analyses of financial performance described in this paper build upon a subsample of firms and the necessary statistical methods are used to correct for potential biases (see Annex B for details). Please refer to Annex B for the ORBIS coverage of the top 30 steelmaking economies andBajgar, et al (2020…”

Liquidity shortfalls during the COVID-19 outbreak: Assessment and policy responses

“…13 9 See Table A.3 for firm-level basic descriptive statistics. 10 For a detailed discussion of Orbis coverage and representativeness, see Bajgar et al (2020). 11 Countries included in the sample are: Belgium, Denmark, Finland, France, Germany, Hungary, Ireland, Italy, Poland, Portugal, Romania, Spain, Sweden and the United Kingdom.…”