Leader of the pack? German monetary dominance in Europe prior to EMU

In this paper, the monetary policy independence of European nations in the years before European Economic and Monetary Union (EMU) is investigated using cointegration techniques. Daily data is used to assess pairwise relationships between individual EMU nations and ‘lead’ nation Germany, to assess the hypothesis that Germany was the dominant European nation prior to EMU. By and large our econometric investigations support this hypothesis, and lead us to conclude that the only European nation to lose monetary policy independence in the light of monetary union was Germany. Our results have important policy implications. Given that the loss of monetary policy independence is generally viewed as the main cost of monetary unification, our findings suggest a reconsideration of the costs and benefits of monetary integration. A country can only lose what it has, and in Europe the countries that joined EMU — spare Germany — apparently did not have much to lose, at least not in terms of monetary independence. Instead, they actually gained monetary policy influence by getting a seat in the ECB's governing council which is responsible for setting interest policy in the euro area.     

Are All Professional Investors Sophisticated?

Abstract. Existing empirical evidence is inconclusive as to whether professional investors show more sophisticated behavior than individual investors. Therefore, we study two important groups of professional investors and compare them with laymen by means of a survey covering about 500 investors. We find that some professionals, i.e. institutional investors, behave in a more sophisticated manner than laymen, whereas the less researched investment advisors seem to do even worse. Our survey approach complements available evidence due to its design: it compares professionals with (qualified) interested laymen, it covers six measures of sophisticated behavior, uses several control variables and strictly compares investment decisions in the private domain.     

Confidence sets for the date of a single break in linear time series regressions

This paper considers the problem of constructing confidence sets for the date of a single break in a linear time series regression. We establish analytically and by small sample simulation that the current standard method in econometrics for constructing such confidence intervals has a coverage rate far below nominal levels when breaks are of moderate magnitude. Given that breaks of moderate magnitude are a theoretically and empirically relevant phenomenon, we proceed to develop an appropriate alternative. We suggest constructing confidence sets by inverting a sequence of tests. Each of the tests maintains a specific break date under the null hypothesis, and rejects when a break occurs elsewhere. By inverting a certain variant of a locally best invariant test, we ensure that the asymptotic critical value does not depend on the maintained break date. A valid confidence set can hence be obtained by assessing which of the sequence of test statistics exceeds a single number.     

Hysteresis in CEMAC Informal Employment

Journal of Quantitative Economics - In this empirical study we investigate the hysteresis in informal employment rate for six central African countries for the period 1981–2012. We use a more...     

Joint Production and the Structure of Technology: A Generalization

In this paper, we have a peek inside the black box of technology in an attempt to get a better understanding of the concept of joint production. We introduce the notion of input and output subtechnologies; these are then used as building blocks to define various types of production processes, either joint or nonjoint. Thus, in the 2×2 case, we are able to identify up to 36 different production structures, some of which are well known, but most of which are new. These are all described in the primal quantity space as well as in the dual price space. Comparative statics results for the 2×2 joint production process are derived.     

Financial price fluctuations in a stock market model with many interacting agents

Summary. We consider a financial market model with a large number of interacting agents. Investors are heterogeneous in their expectations about the future evolution of an asset price process. Their current expectation is based on the previous states of their neighbors and on a random signal about the mood of the market. We analyze the asymptotics of both aggregate behavior and asset prices. We give sufficient conditions for the distribution of equilibrium prices to converge to a unique equilibrium, and provide a microeconomic foundation for the use of diffusion models in the analysis of financial price fluctuations.Received: 16 April 2003, Revised: 1 March 2004, JEL Classification Numbers: D40, D84, G10.I thank Peter Bank, Dirk Becherer, Hans Föllmer, Peter Leukert, José Scheinkman, Alexander Schied, Ching-Tang Wu, and seminar participants at various institutions for many suggestions and discussions. Thanks are due to two anonymous referees and the editor, C.D. Aliprantis, for valuable comments which helped to improve the presentation of the results. Financial support of Deutsche Forschungsgemeinschaft via SFB 373, Quantification and Simulation of Economic Processes, Humboldt-Universität zu Berlin, and DFG Research Center Mathematics for Key Technologies (FZT 86) is gratefully acknowledged.     

Real business cycles, sticky wages or sticky prices? The impact of technology shocks on US manufacturing

In this paper, we examine empirically the predictions of a range of theoretical models which give a prominent role to technology shocks in explaining business cycles. To this end, we estimate (4-digit SIC) industry-level VAR models for US manufacturing using real output, the real wage and utilization corrected measures of technology and labor input. Our results support both sticky-wage DGE and RBC models over sticky-price DGE models. Moreover, they cast some doubt on the importance of technology shocks as propulsive mechanism for business cycles at the industry level.     

Awareness and perceptions of the Johnson & Johnson Campaign for Nursing's Future: views from nursing students, RNs, and CNOs

Johnson & Johnson launched the Campaign in February 2002. Data from surveys of nursing students, RNs, and CNOs reflect a high level of awareness of several key elements of the Campaign--advertisements, recruitment materials, the discovernursing.com Web site, and regional "Promise of Nursing" fundraising events. The J & J Campaign for Nursing's Future represents the largest involvement of the private corporate sector, and through this initiative we are learning new and innovative ways to examine the challenges confronting the nursing workforce and develop actions to help resolve them.     

Beyond Balassa and Samuelson: real convergence,capital flows,and competitiveness in Greece

To better understand the convergence process prior and since the European financial and debt crisis, we scrutinize the role of capital flows for competitiveness in Greece and a set of six other euro area member countries (Portugal, Latvia, Estonia, Lithuania, Slovenia and the Slovak Republic). For this purpose the paper extends the seminal Balassa–Samuelson model by international capital markets with a particular focus on their impact on national wage policies. Capital flows are assumed to be able to invert the traditional direction of transmission of real wage increases from the tradable sector to the non-tradable sector and to make real wages increase beyond productivity increases. The augmented Balassa–Samuelson model is extended to trace cyclical deviations of real exchange rates from the productivity-driven equilibrium path. Panel estimations for the period from 1995 to 2013 reveal correlations in line with the Balassa–Samuelson effect, if Greece is excluded from the panel. For Greece, this in turn implies indication in favour of a credit-driven real wage increases beyond productivity increases what we call a “pseudo” Balassa–Samuelson effect.     

Growth and inflation forecasts for Germany a panel-based assessment of accuracy and efficiency

We analyse forecasts of professional forecasters for Germany regarding the time span from 1970 to 2004. This novel panel data set renders it possible to assess the accuracy and efficiency of growth and inflation forecasts more efficiently than in previous studies. We argue that the forecasts are, on average, unbiased and weakly—but not strongly—efficient. Using model confidence sets suggested by Hansen et al. (2004), we find that, besides the effect of diverging forecasting dates, no other substantial differences in forecasting quality among forecasters exist. Nevertheless, on the basis of a direction-of-change analysis we argue that it is not always advisable to listen to the majority of forecasters.