We decompose the variance of food industry return-on-assets into industry, firm, year and country effects. After determining significance in a nested ANOVA, we estimate the magnitude using components of variance in a large sample of corporations. As a robustness check, we estimate a multilevel...

The present article is the first that analyses profit persistence in the European food industry. Based on the Arellano and Bond GMM estimator, the degree of profit persistence and the drivers of persistence are quantified for a large sample of food processing firms. The analysis reveals that the...

type="main" xml:id="jage12061-abs-0001" <title type="main">Abstract</title> <p>This paper decomposes the variance in EU food industry return-on-assets into year, country, industry and firm effects using a hierarchical linear model (HLM). The HLM approach accounts for some of the methodological drawbacks of conventional...</p>

We decompose the variance of food industry return-on-assets into industry, firm, year and country effects. After determining significance in a nested ANOVA, we estimate the magnitude using components of variance in a large sample of corporations. As a robustness check, we estimate a multilevel...

This article analyzes persistence and the drivers of profitability in US and EU food processing using GMM estimations. Due to different firm size structures first comparable samples of US and EU food processors are derived using Propensity Score Matching. The GMM results indicate that profit...

We decompose the variance of food industry return-on-assets into industry, firm, year and country effects. After determining significance in a nested ANOVA, we estimate the magnitude using components of variance in a large sample of corporations. As a robustness check, we estimate a multilevel...