Does educational diversity of managers matter for the performance of team‐managed funds?

We study the effect of the educational diversity of managers on the performance of team‐managed mutual funds using a large sample of U.S. equity funds from 1994 to 2013. We consider diversity in terms of both final educational degree and field of educational specialisation. We find that, in general, both types of diversity have a positive impact on fund performance, and our results are robust over a wide range of performance metrics and changes in market conditions.     

Testing for PPP: Should we use panel methods?

A common finding in the empirical literature on the validity of purchasing power parity (PPP) is that it holds when tested for in panel data, but not in univariate (i.e. country-specific) analysis. The usual explanation for this mismatch is that panel tests for unit roots are more powerful than their univariate counterparts. In this paper we suggest an alternative explanation. Existing panel methods assume that cross-unit cointegrating relationships, that would tie the units of the panel together, are not present. Using simulations, we show that if this important underlying assumption of panel unit root tests is violated, the empirical size of the tests is substantially higher than the nominal level, and the null hypothesis of a unit root is rejected too often even when it is true. More generally, this finding warns against the automatic use of panel methods for testing for unit roots in macroeconomic time series.First version received: November 2001/Final version received : October 2003     

Crime,apprehension and clearance rates: Panel data evidence from Canadian provinces

The Becker model of crime establishes the importance of the probability of apprehension as a key factor in a rational individual's decision to commit a crime. In this respect, most empirical studies based on US data have relied on variation in the number of police officers to estimate the impact of the probability of apprehension or capture. We measure the probability of apprehension by clearance rates and study their effects on crime rates, employing a panel of Canadian provinces from 1986 to 2005. OLS, GMM, GLS and IV estimates yield statistically significant elasticities of clearance rates, ranging from ?0.2 to ?0.4 for violent crimes and from ?0.5 to ?0.6 for property crimes. These findings reflect the importance of police force crime‐solving productivity.     

The long-run Phillips curve and non-stationary inflation

Modern theories of inflation incorporate a vertical long-run Phillips curve and are usually estimated using techniques that ignore the non-stationary behaviour of inflation. Consequently, the estimates obtained are imprecise and unable to test the veracity of a vertical long-run Phillips curve. We estimate a Phillips curve model taking into account the non-stationary properties in inflation and identify a small but significant positive relationship between inflation and unemployment. The results also provide some evidence that the trade-off between inflation and the rate of unemployment in the short-run worsens as the mean rate of inflation increases.     

Does Local Competition Impact Interest Rates Charged on Small Business Loans? Empirical Evidence from Canada

Using a unique survey database of Canadian small business loans,we find a negative and statistically significant relation between the number of localcompetitors and small business loan rates. This result is robust to the presence of a wide varietyof covariates intended to proxy the effects of both loan specific details and individualcharacteristics. These findings further suggest that the local markets definition applied to small businessloans is still relevant, despite recent technological innovation such as internet banking.     

Border Effects Before and After 9/11: Panel Data Evidence Across Industries

The paper builds a unique industry‐level panel data set to estimate the border effects associated with US–Canada trade for each year from 1992 to 2005. We first establish the theoretical foundation of our empirical model as a multisector version of Anderson and van Wincoop. Estimates from data aggregated at the province/state level yield border effects that increase slightly in the early 1990s, then decline after the implementation of the North American Free Trade Agreement (NAFTA), but then increase significantly after 2001. Results based on three‐digit NAICS level data reveal higher border effects in the early 1990s and substantial heterogeneity across industries. The results are robust to a variety of specifications and models, and they suggest that the security measures adopted in the aftermath of the tragic events of 11 September 2001 had considerable adverse effects on US–Canada trade.     

Implied Lévy volatility

We study the cause of large fluctuations in prices on the London Stock Exchange. This is done at the microscopic level of individual events, where an event is the placement or cancellation of an order to buy or sell. We show that price fluctuations caused by individual market orders are essentially independent of the volume of orders. Instead, large price fluctuations are driven by liquidity fluctuations, variations in the market's ability to absorb new orders. Even for the most liquid stocks there can be substantial gaps in the order book, corresponding to a block of adjacent price levels containing no quotes. When such a gap exists next to the best price, a new order can remove the best quote, triggering a large midpoint price change. Thus, the distribution of large price changes merely reflects the distribution of gaps in the limit order book. This is a finite size effect, caused by the granularity of order flow: in a market where participants place many small orders uniformly across prices, such large price fluctuations would not happen. We show that this also explains price fluctuations on longer timescales. In addition, we present results suggesting that the risk profile varies from stock to stock, and is not universal: lightly traded stocks tend to have more extreme risks.     

THE ECONOMETRIC ANALYSIS OF ECONOMIC POLICY

The application of econometric analysis to the process of economic policy formulation is considered. A framework is provided by the theory of reduction, specifically reductions where key information losses would invalidate policy. Consequently, model evaluation; the role of econometric models; forecasting; exogeneity; causality; constancy and invariance; unobservables; seasonality; and data integrability are considered, together with specific policy issues where econometrics can clarify the problems.