Methods for Environmental and Economic Accounting for the Exploitation of Wild Fish Stocks and their Applications to the Case of Icelandic Fisheries

The paper discusses methods for estimating the value of commercially exploited fish stocks and the cost of exploiting them. Methods which are recommended in the System of National Accounting (SNA) satellite system and the System for Integrated Environmental and Economic Accounting (SEEA) and relevant for this task are discussed. The paper questions the relevance of some of these methods. It argues for the integration of economic accounting for wild fish stocks with estimation of efficient management of them. Using biological and economic data makes it possible to produce consistent estimates of the value of fish stocks and the cost of exploiting them. These estimates are useful for national accounting and for guiding management of fisheries. This method allows estimation of the cost of inefficiency of fisheries management besides estimation of the cost of depletion. The different methods are illustrated using data on commercial fisheries in Iceland and the fish stocks that they exploit. It is shown that even if all methods are based on market valuation and use only objective data they lead to very different outcomes.     

The mix of international banks’ foreign claims: Determinants and implications

We analyze the cross-country determinants and financial stability implications of the mix of international banks’ foreign claims. We distinguish between local claims – extended by host country affiliates – and cross-border claims – booked outside the receiving country. Using data on Italian, Spanish, and US banks’ foreign claims, we find that the share of local claims is driven by restrictions on banking sector openness and by local scale economies/business opportunities. The impact of limits on property rights, entry requirements, start-up and informational costs is less robust. Finally, foreign claim volatility is lower in countries with a larger share of local claims.     

Identifying the Transition from Efficient-Market to Herding Behavior: Using a Method from Econophysics

We test whether “detrended fluctuation analysis” (DFA)—an econophysics method—identifies the transition from efficient-market trading to herding behavior and the rise of the NASDAQ dot.com stock market bubble. DFA divides a time series into “segments” of varying lengths and then tests whether power-law distributions exist within the segments. A power-law distribution of stock-price changes within a segment indicates herding behavior and the start of the dot.com bubble. The clarity of the transition indication depends on both segment lengths and segment starting dates. Our findings show that DFA can be used to identify the beginning of stock-market bubbles but not the beginning of crashes.     

Mixed Duopoly,Merger and Multiproduct Firms

The literature on mergers has extensively analyzed the decision to merge by private firms, but it has not considered the decision to merge by private and public firms. We assume that when a private firm and a public firm merge (or when one of them acquires the other), they set up a multiproduct firm in which the government owns an exogenous percentage stake. In this framework, we show that the decision to merge by firms depends on the degree to which goods are substitutes and on the percentage of the shares owned by the government in the multiproduct firm.     

Wage and hour violations in urban labour markets: a comparison of Los Angeles,New York and Chicago

This article compares violations of minimum wage laws and other labour standards in New York City, Los Angeles and Chicago. Los Angeles has the highest violation rates, due to such factors as its industrial composition and disproportionately large number of small establishments, as well as its vast unauthorised immigrant population. In addition, Los Angeles’ higher rates reflect the stricter legal standards in California. We conclude that, although stronger workplace laws and regulations are crucial, in the absence of effective enforcement, they may fail to prevent workplace violations.     

Central bank disclosure as a macroprudential tool for financial stability

The Basel Capital Accord (pillar 3) states that disclosure of information (transparency) is essential to financial stability. This study analyzes, through inflation reports, the disclosure of information from the Central Bank of Brazil concerning the credit market. We consider credit risk and capital buffers as measures of financial stability in this analysis. Furthermore, in order to measure the perception of the monetary authority on the credit market, we built two indices based on the central bank’s communication on credit development. We performed a panel data analysis based on a sample of 125 banks for the period from June 1999 to September 2014 (7000 observations). The findings suggest that central bank communication regarding expectations concerning the credit market contributes to financial stability. Therefore, this kind of communication of central banks (about credit development) may constitute an important macroprudential tool to improve financial stability.     

Learning by doing,spillovers and shakeouts

This paper studies industry evolution driven by non strategic learning by doing and spillovers. We characterize a dynamic process of cost and output changes and its effect on welfare and industry profits. The paper gives conditions for shakeouts to occur and analyzes the key factors affecting these conditions. Since shakeouts could lead to a long-run social loss due to higher market concentration, there is a role for a government to play in limiting unnecessary shakeouts. The most effective way to do so is to enhance spillovers.JEL Classification: L11, L13, O31Correspondence to: Michael TroegeWe would like to thank Hans Mewis, Christophe Moussu and an anonymous referee for valuable comments and suggestions. We also benefited from comments of seminar participants at WZB, Humboldt University, Northwestern University and the EEA/ESEM 1999 meetings. Part of the research was carried out while Michael Tröge was visiting Northwestern University. Financial support by the German Research Council (DFG) is gratefully acknowledged.     

Optimal designs for generalized linear models with biased response

This paper is concerned with the search for locally optimal designs when the observations of the response variable arise from a weighted distribution in the exponential family. Locally optimal designs are derived for regression models in which the response follows a weighted version of Normal, Gamma, Inverse Gaussian, Poisson or Binomial distributions. Some conditions are given under which the optimal designs for the weighted and original (non-weighted) distributions are the same. An efficiency study is performed to find out the behavior of the D-optimal designs for the original distribution when they are used to estimate models with weighted distributions.     

Does foreign aid really raise per capita income? A time series perspective

Abstract. We analyze the relationship between per capita income and foreign aid. We employ annual data and five‐year averages and carefully examine the time‐series properties of the data. Panel estimations with dynamic feasible generalized least‐squares (DFGLS) show that aid generally has an insignificant or minute negative significant impact on per capita income (particularly in highly aid‐dependent countries). This holds true for countries with different levels of human development and income, as well as for different regions. We also find that aid has a small positive impact on investment, but a significant negative impact on domestic savings (crowding out) and the real exchange rate (appreciation). JEL classification: F35, O11, C23, C51