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Employment protection legislation, adjustment costs and cross-country differences in cost behavior

Journal of Accounting and Economics 2013 55(1), 111-127
Central to the economic theory of sticky costs is the proposition that managers consider adjustment costs when changing resource levels. We test this proposition using employment protection legislation (EPL) provisions in different countries as a proxy for labor adjustment costs. Using a large sample of firms in 19 OECD countries during 1990–2008, we find that the degree of cost stickiness at the firm level varies with the strictness of the country-level EPL provisions. This finding supports the theory that cost stickiness reflects the deliberate resource commitment decisions of managers in the presence of adjustment costs.

Predicting Earnings Using a Model Based on Cost Variability and Cost Stickiness

The Accounting Review 2006 81(2), 285-307
We evaluate the descriptive validity of the cost behavior model for profit analysis using Compustat data. For this purpose, we propose an earnings forecast model decomposing earnings into components that reflect (1) variability of costs with sales revenue and (2) stickiness in costs with sales declines. We evaluate the predictive ability of our model by benchmarking its performance in forecasting one-year-ahead returns on equity against that of two other time-series models based on line item information reported in the income statement and in the statement of cash flows. Specifically, we consider a model that disaggregates earnings into operating income and non-operating income components and another that disaggregates earnings into cash flows and accruals components. While all three models are less accurate than analysts' consensus forecasts that rely on a larger information set, we find that our model provides substantial improvement in forecast accuracy over the other two models that use only the line items in the financial statements. Finally, invoking the market efficiency assumption, we find that earnings forecast errors based on our model have greater relative information content than forecast errors based on the two alternative models based on financial statement information in explaining abnormal stock returns.