META‐ANALYSIS OF ECONOMICS RESEARCH REPORTING GUIDELINES

Meta‐regression analysis (MRA) can provide objective and comprehensive summaries of economics research. Their use has grown rapidly over the last few decades. To improve transparency and to raise the quality of MRA, the meta‐analysis of economics research‐network (MAER‐Net) has created the below reporting guidelines. Future meta‐analyses in economics will be expected to follow these guidelines or give valid reasons why a meta‐analysis must deviate from them.     

The Welfare and Resouce Allocation Implications of the U.S.Dairy Quotas

This paper examine the welfare and resource allocation implications of the U.S. dairy quotas. A computable general equilibrium model detailing five dairy sectors and nine aggregate sectors is calibrated to a 1989 benchmark of the U.S economy. The model is used to simulate the removal of the U.S.dairy quotas both the with and without a first-best subsidy to maintain a dairy farm output objective. Welfare, production, trade, and employment results are provided. The welfare cost of the U.S dairy quotas ranges from $0.7 to $1.0 billion. The first-best subsidy ranges from $2.0 to $2.3 billion or approximately $1.4 million per full-time equivalent job maintained in the dairy farm sector [F13, Q17]     

Optimal dynamic hedging in incomplete futures markets

This article derives optimal hedging demands for futures contracts from an investor who cannot freely trade his portfolio of primitive assets in the context of either a CARA or a logarithmic utility function. Existing futures contracts are not numerous enough to complete the market. In addition, in the case of CARA, the nonnegativity constraint on wealth is binding, and the optimal hedging demands are not identical to those that would be derived if the constraint were ignored. Fictitiously completing the market, we can characterize the optimal hedging demands for futures contracts. Closed-form solutions exist in the logarithmic case but not in the CARA case, since then a put (insurance) written on his wealth is implicitly bought by the investor. Although solutions are formally similar to those that obtain under complete markets, incompleteness leads in fact to second-best optima.     

Is Profit Sharing Productive? A Meta-Regression Analysis

In this article, we re-examine the relationship between group-based profit sharing and productivity. Our meta-regression analysis of 355 estimates from 56 studies controls for publication selection and misspecification biases and investigates the impact of firm-level unionisation. Profit sharing is positively related to productivity on average, with a stronger relationship where there is higher unionisation. The positive effect of profit sharing on productivity is larger in cooperative firms and in transition economies. Separate meta-analysis of interactions suggests that profit sharing works better in combination with capital investment and employee participation in decisions.     

Innovation,R&D productivity,and global market share in the pharmaceutical industry

In this paper, we estimate two empirical models using a pooled, cross-section sample of international pharmaceutical firms for the period 1987 to 1989. The first model tests the relationship between R&D productivity and a vector of firm-specific characteristics. The second model tests the determinants of global market share. The empirical analysis reveals three findings. First, we find evidence that there are diminishing returns in the pharmaceutical R&D process. Second, we find that firm size has a positive effect on average R&D productivity and a positive impact on the marginal R&D productivity for plausible R&D staff sizes. And third, we find evidence that R&D productivity and the number of sales employees have a positive effect on the firm's global market share.The views presented in this paper reflect those of the authors and do not necessarily reflect the views of the U.S. International Trade Commission or any of its individual commissioners. We thank William Comanor, Daniel Gropper, Daniel Hamermesh, Susan Pozo, Paul Thistle, and Mark Wheeler for their comments and suggestions on an earlier draft of this paper. We assume all responsibility for any errors contained herein.     

On tax competition, public goods provision and jurisdictions' size

In this paper, we analyze competition among jurisdictions to attract foreign capital through low taxes and public inputs that enhance firms' productivity. The competing jurisdictions are different in size and mobility of capital is costly. We find that for moderate mobility costs, small economies can attract foreign capital by supplying higher levels of public goods than larger jurisdictions, without practicing tax undercutting. The classical result that small jurisdictions are attractive because they engage in tax dumping is recovered only for high mobility costs of capital.     

Book reviews

New technologies and emergent risks pose special problems for risk governance and regulation. This paper outlines some of the uncertainties about the hazards of hydrogen energy and examines qualitative evidence from recent deliberative Citizens’ Panels in England and Wales about hydrogen energy technologies. It is shown that laypeople express ambivalent and contradictory views about, and critical trust in, experts’ views about hydrogen. The findings are discussed in relation to the International Risk Governance Council framework for emergent risks characterised by ambiguity, complexity and uncertainty.     

French economic cycles: a wavelet analysis of French retrospective GNP series

Although 50 years of scientific work has been invested in building retrospective economic time series, their reliability is still debated, a good example being the two competing nineteenth century French GNP series. Instead of trying to bring up some new details to gauge their respective accuracy, we propose a different route, i.e. testing the intrinsic features of these two series, in absolute terms first, then by benchmarking them to a non-retrospective time series. In order to do that, we rely on new mathematical tools—wavelet spectrum analysis—developed in signal processing. This leads to a new approach, which separates the accuracy of a series between amplitude and time variations, and brings nuanced conclusions as to which of the two series tested is the best: indeed, since a trade-off is almost inescapable between the two criterions of accuracy, the statistical quality of one retrospective time series tends to linger either on one side (amplitude level) or the other (time variations). Our study also shows that variance distribution along the time axis is a good proxy for complex retrospective series accuracy.