Do contractionary monetary policy shocks expand shadow banking?

Using VAR models for the USA, we find that a contractionary monetary policy shock has a persistent negative impact on the level of commercial bank assets, but increases the assets of shadow banks and securitization activity. To explain this “waterbed” effect, we propose a standard New Keynesian model featuring both commercial and shadow banks, and we show that the model comes close to explaining the empirical results. Our findings cast doubt on the idea that monetary policy can usefully “get in all the cracks” of the financial sector in a uniform way.     

A note on trust in the ECB in the era of sovereign debt crisis

We employ Eurobarometer data on trust in the ECB, exploring whether trust is affected by sovereign credit rating episodes and the participation in economic adjustment programmes (EAPs) (bailout schemes). Controlling for several sociodemographic factors and macroeconomic conditions, we document a substantial negative impact on trust in ECB for countries experiencing downgrade episodes and participating in EAPs.     

Trade Credit,Bank Credit,and Flight to Quality: Evidence from French SMEs

This paper investigates the impact of the global financial crisis on the allocation of credit to small and medium‐sized enterprises (SMEs). Using samples of French SMEs from four industries, we found support for the prediction of the flight‐to‐quality hypothesis that in bad times, credit flows away from smaller constrained firms to larger, higher grade firms. We also examined the relation between bank credit and trade credit in terms of two hypotheses: the substitution hypothesis and the complementary hypothesis. The results of fixed effects panel regressions showed that trade credit for small firms during periods of tight money acts generally as complement rather than substitute to bank credit, thus providing empirical support for the redistribution view of trade credit.     

Technical efficiency measures for olive-growing farms in Crete, Greece

This study attempts to contribute to the productivity literature of the agriculture of developing countries by exploring the distribution of technical efficiency over time among olive-growing farms operating in the southern part of Greece—specifically, the island of Crete. A balanced panel data set during the period 1987–93 is utilized for the estimation of the stochastic production frontier. The results show decreasing efficiency for farms since 1987 and suggest the need for a development strategy to improve their economic performance in the context of expected major changes in the Common Agricultural Policy. A further result is that farm size, the farmer's education, the existence of an improvement plan, and land fragmentation are the most important factors explaining inter-farm variation in efficiency.     

On the choice of functional form in stochastic frontier modeling

This paper examines the effect of functional form specification on the estimation of technical efficiency using a panel data set of 125 olive-growing farms in Greece for the period 1987–93. The generalized quadratic Box-Cox transformation is used to test the relative performance of alternative, widely used, functional forms and to examine the effect of prior choice on final efficiency estimates. Other than the functional specifications nested within the Box-Cox transformation, the comparative analysis includes the minflex Laurent translog and generalized Leontief that possess desirable approximation properties. The results indicate that technical efficiency measures are very sensitive to the choice of functional specification. Perhaps most importantly, the choice of functional form affects the identification of the factors affecting individual performance – the sources of technical inefficiency. The analysis also shows that while specification searches do narrow down the set of feasible alternatives, the identification of the most appropriate functional specification might not always be (statistically) feasible. First version received: November 1999/Final version received: July 2001 RID="*" ID="*"  The authors wish to thank Almas Heshmati, Robert Romain, and an anonymous referee for insightful comments and suggestions. Special thanks go to the associate editor who handled the paper, and whose careful reading and suggestions have improved the paper substantially. The second author wishes to acknowledge the financial support from “President SSHRC” from the University of Saskatchewan. The usual caveats with respect to opinions expressed in the paper apply. Senior authorship is shared. This is University of Nebraska-Lincoln Agricultural Research Division Article No. 13270.     

Customer information sharing among rival firms

The recent rapid growth of the Internet as a medium of communication and commerce, combined with the development of sophisticated software tools, are to a large extent responsible for producing a new kind of information: Databases with detailed records about consumers’ preferences. These databases have become part of a firm's assets, and as such they can be sold to third parties. This possibility has raised numerous concerns from consumer privacy advocates and regulators, who have entered into a heated debate with business groups and industry associations about whether the practice of customer information sharing should be banned, regulated, or left unchecked. This paper investigates the incentives of rival firms to share their customer-specific information and evaluates the welfare implications if such exchanges are banned, in the context of a perfect price discrimination model.     

News shocks and labour market dynamics in matching models

We enrich a baseline real business cycle (RBC) model with search and matching frictions on the labour market and real frictions that are helpful in accounting for the response of macroeconomic aggregates to shocks. The analysis allows shocks to have an unanticipated and a news (i.e., anticipated) component. The Bayesian estimation of the model reveals that the model that includes news shocks on macroeconomic aggregates produces a remarkable fit of the data. News shocks in stationary and non‐stationary TFP, investment‐specific productivity and preference shocks significantly affect labour market variables and explain a sizeable fraction of macroeconomic fluctuations at medium‐ and long‐run horizons. Historically, news shocks have played a relevant role for output, but they have had a limited influence on unemployment.     

The impact of protein increments on blending revenues in the Canadian wheat industry

Since 1994, progressively more protein grade increments have been added to existing standards for Canadian Western Red Spring (CWRS) wheat. This paper simulates the impact of additional protein increments on the farm value of grain and on revenues from optimal blending by using a linear programming model that maximizes blending revenues, given the protein distribution of No. 1 CWRS wheat for 1990–91 to 1992–93. Both analytical and empirical results show that the outcome depends on the pricing schedule, the protein distribution, and the placement of the new protein grade.     

Size and momentum in European equity markets: empirical findings from varying beta Capital Asset Pricing Model

We use securities listed on 13 European equity markets to form size and momentum portfolios. We find limited evidence of a size premium but significant momentum returns in eight sample markets. We find that these premia may not constitute an anomaly because they are consistent with a varying‐beta Capital Asset Pricing Model. We also show that systematic risk is related to the business cycle. Furthermore, the results suggest that although size and especially momentum returns are significant, it would be difficult to exploit them in the short to medium run, because they are positive and sizeable in very few years in our sample.