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High corporate indebtedness can pose an important threat to the adjustment processes in some of the Euro area periphery countries, through its drag on investment as well as the possible migration of private sector losses to the sovereign balance sheet. This paper examines the macroeconomic implications of corporate debt overhang in recent years, confirming empirical evidence in the literature on the relationship between a firm's balance sheet position and its investment choices, especially beyond certain threshold levels. Building on an event study of past crisis experiences with corporate deleveraging, it also discusses the expected macro-financial impact of the ongoing deleveraging processes in these countries, presenting available policy options to facilitate an orderly balance-sheet adjustment and support a return to productivity and growth.

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This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate.In a recent paper, Bai and Perron (2006) demonstrate that their approach for testing for multiple structural breaks in time series works well in large samples, but they found substantial deviations in both the size and power of their tests in smaller samples. We propose modifying their methodology to deal with small samples by using Monte Carlo simulations to determine sample-specific critical values under the null each time the test is run. We draw on the results of our simulations to offer practical suggestions on handling serial correlation, model misspecification, and the use of alternative test statistics for sequential testing. We show that, for most types of data generating processes in samples with as low as 50 observations, our proposed modifications perform substantially better.

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