We use firm-level data to provide some early evidence on the effectiveness of COVID-19 economic policy packages. Our empirical strategy relies on the varying degree of vulnerability to the pandemic across industries. We find a robust association of fiscal support with changes in firm performance indicators (as measured by sales-to-assets ratio, profit margin, interest coverage ratio as well as probability of default) in pandemic-prone sectors. We also observe marginal effects of monetary policy on the sales-to-assets ratio and of foreign exchange intervention on the interest coverage ratio in the hardest-hit firms. These results broadly survive a battery of exercises to address endogeneity. Additionally, we show that firms with a better financial position are more likely to take advantage of the support packages to withstand the pandemic shock. Overall, this preliminary evidence suggests that policy interventions have bought time for the hardest-hit industries, by supporting turnover and improving liquidity.

It was conjectured by Pigou that an increase in real national income, as reckoned in the prices of either the initial or the terminal period, would always correctly indicate an improvement in national welfare provided the increase referred to the aggregate income of a given group of persons with fixed preferences and a fixed proportional distribution of income among them. We show that if the individual preferences are assumed to be homothetic, and if by a welfare improvement one means respectively a potential improvement (in which losers can be compensated by gainers) or an actual improvement (in which all are gainers), then on either of these respective criteria Pigou's conjecture holds true under these conditions if and only if individual preferences are identical.

THEORISTS of the American labor movement long have argued over the causes of fluctuations in union membership and the prospects for future union growth. For a number of years, the hypothesis of Commons (1932) and Perlman (1966), which related union expansion to the business cycle, was the most widely accepted explanation of the fluctuations in union membership. the years, a number of critics such as Dunlop (1948), Shister (1953), and Bernstein (1954) challenged the business cycle hypothesis on the grounds that American unionism is too complex and diffuse a social phenomenon to be understood in such simple terms. They contended that a multicausal system (including the cycle) is necessary to account for the rise of trade unionism. Although union theorists have frequently provided statistical data that are consistent with their inferences concerning the major factors influencing union growth, prior to the study by Ashenfelter and Pencavel (1969) their hypotheses had not been tested on an empirical plane which could disprove the suggested causal relationship between such factors and union growth. Ashenfelter and Pencavel (A-P) used multiple regression analysis to estimate a single behavioral relationship, including social and political as well as economic variables, capable of explaining the growth of American trade unions membership in the period 1900-1960. Although the model of A-P apparently has identified the determinants of union growth, there is some question as to whether the model has equally identified the determinants of future union growth. In econometric time-series analysis, it is assumed that differential periods of time are homogeneous, except for differences in the explicit variables of the system that are measured, and for differences in random effects. Over long sweeps of time, this assumption may become very tenuous.' This issue lies at the heart of the recent debate among the so-called saturationists and the school concerning the future prospects of the rate of growth of the American labor movement.2 The saturationists argue that significant changes have occurred within the structure and composition of the American labor force which have caused the past determinants of union growth to be inoperable in the future.3 Proponents of the historical approach challenge the general validity of the influence of structural factors on the comparative propensity of workers to join unions. Taft (1963) contends that the saturationists argument assumes propensities and psychological attitudes which have not been proven. In fact, actual experience has shown these assumptions to be baseless, and not a scintilla of evidence has been presented to justify these conclusions. They maintain the labor movement increases its size in two ways at a modest pace over long spans of time and in sharp spurts at infrequent intervals, ... . and that the slow growth of unionism in the post World War II period easily can be fit into the theory.4 The debate between the saturationists and the school has not yet been resolved. The level of actual union membership has increased by 4,300,000 or 25.4% for the period 1953-1970, but the level of real union membership, as measured by the per cent of nonagricultural employment organized, has declined from 34.1 to 30.1. The recent success of the labor movement in organizing some difficult structural groups such as government employ-

R EGIONAL analysis has received an increasing amount of attention recently, a reflection in part of the growing volume of national macro-economic studies that point up the significance of regional compositions and regional patterns of behavior. This paper attempts to demonstrate the usefulness and flexibility of interindustry (or input-output) models for regional analysis. Specifically, the paper has three objectives: (i) to present an interindustry model for the state of Utah with a discussion of the problems both conceptual and empirical that arise in a model of this type; (2) to develop some measures for estimating the importance of individual industries in the regional economy via the calculation of income and employment multipliers; (3) to present some methods by which dynamic elements can be introduced into the static system. This is a necessary element if the model is to be used for the analysis of regional business cycles, industrial growth and technological change, or for the computation of period (that is, truncated) multipliers. The static model is useful in a number of ways, as we attempt to show, not the least of which is its usefulness as a social accounting device for the region; but, for more careful analyses of the problems mentioned above, a partially dynamic formulation is desirable.

We empirically investigate the effects of market structure on profitability and stability for 1929 banks in 40 emerging and advanced economies over 1999–2008 by incorporating the traditional structure-conduct-performance (SCP) and relative-market-power (RMP) hypotheses. We observe that a greater market share leads to higher bank profitability being biased toward the RMP hypothesis in advanced economies, yet neither of the hypotheses is supported for profitability in emerging economies. The SCP appears to exert a destabilising effect on advanced banks, suggesting that a more concentrated banking system may be vulnerable to financial instability, however, the RMP seems to perform a stabilising effect in both economies. Evidence also highlights that profitability and stability increase with an increased interest-margin revenues in a less competitive environment for emerging markets. Overall, these results suggest that although policy measures to promote competition may dampen economic rent, excessive implementation may have an undesired destabilising impact on banks.

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This paper presents a model that provides an explanation, based on regime switching in the real interest rate and learning, of why tests based on stock-adjustment models, Euler equations, or decision rules—which emphasize short-run fluctuations in inventories and the interest rate—are unlikely to uncover a negative relationship between inventories and the real interest rate. The model, however, predicts that inventories will respond to long-run movements, that is, to regime shifts in the real interest rate. Tests emphasizing cointegration techniques confirm this prediction and show a significant long-run relationship between inventories and the real interest rate.