A brief history of forecasting competitions

Forecasting competitions are now so widespread that it is often forgotten how controversial they were when first held, and how influential they have been over the years. I briefly review the history of forecasting competitions, and discuss what we have learned about their design and implementation, and what they can tell us about forecasting. I also provide a few suggestions for potential future competitions, and for research about forecasting based on competitions.     

Peer effects and the choice of adaptation strategies

This paper analyzes the impact of peer choices on the decision to adapt to climate change in rural Ethiopia. Two IVs are employed (peer-of-peer choices and peer-of-peer information sources) in order to tackle the issue of endogeneity. Through the use of a 3-year panel of farmers in the Nile Basin region, we find that peer choices positively affect the uptake of different adaptation strategies. A 10 percentage point increase in the share of peers using a specific strategy translates to an increase in the likelihood of adaptation between approximately 7% and 14%. This emphasizes the importance of social networks to achieve adaptation to climate change in sub-Saharan Africa.     

Evidence of climate change impacts on crop comparative advantage and land use

Relative agricultural productivity shocks emerging from climate change will alter regional cropland use. Land allocations are sensitive to crop profits that in turn depend on yield effects induced by changes in climate and technology. We develop and apply an integrated framework to assess the impact of climate change on agricultural productivity and land use for the U.S. Northern Great Plains. Crop-specific yield–weather models reveal crop comparative advantage due to differential yield impacts of weather across the region's major crops, that is, alfalfa, wheat, soybeans, and maize. We define crop profits as a function of the weather-driven yields, which are then used to model land use allocation decisions. This ultimately allows us to simulate the impact of climate change under the RCP4.5 emissions scenario on land allocated to the region's major crops as well as to grass/pasture. Upon removing the trends effects in yields, climate change is projected to lower yields by 33–64% over 2031–2055 relative to 1981–2005, with soybean being the least and alfalfa the most affected crops. Yield projections applied to the land use model at present-day input costs and output prices reveals that Dakotas’ grass acreage will increase by up to 23%, displacing croplands. Wheat acreage is expected to increase by up to 54% in select southeastern counties of North Dakota and South Dakota, where maize/soy acreage had increased by up to 58% during 1995–2016.     

Endowing university spin-offs pre-formation: Entrepreneurial capabilities for scientist-entrepreneurs

University spin-offs are important mechanisms for creating and capturing value from scientific inventions. Academic scientists are uniquely positioned to shape such opportunities long before the university spin-off is founded. To better understand how science-based university spin-offs can be endowed for success, the pre-formation stage of 30 ventures co-founded over a 40 year period by a star-scientist-entrepreneur is analysed by matching his 363 co-invented US patents granted to 1476 co-authored publications and these 30 ventures. Employing the extended case method, including the analysis of extensive archival data, iterative interviews, and this unique, longitudinal, multi-level dataset, existing dynamic capabilities theory is confronted and extended with evidence as to how a star-scientist-entrepreneur senses and shapes and seizes opportunities to endow university spin-offs pre-formation. A process model is developed depicting four pre-formation entrepreneurial capabilities with which these science-based university spin-offs are endowed for success. Recommendations are made for scientist-entrepreneurs, investors, university leadership, and for innovation policymakers.     

COMPARATIVE EFFICIENCY OF AGRICULTURAL COOPERATIVES AND CONVENTIONAL FIRMS IN A SAMPLE OF QUASI‐TWIN COMPANIES

The resilience of cooperatives and their positive contribution to employment in times of crisis is well established. However, their overall economic performance relative to conventional firms is still controversial, casting doubt on the ability of this alternative organizational form to govern the fundamental drivers of productivity. To shed new light on the issue, we study the comparative technical efficiency of agricultural cooperatives (ACs) and conventional firms (CFs), drawing on a unique data set comprising all wine‐producing companies in Sardinia (Italy) from 2004 to 2009. Due to the similarity of the habitats in which the firms operate and the careful measurement of several key inputs, the observed units are ‘twins’ in all non‐organizational respects, providing an ideal setting for comparison. Having generated efficiency scores through Data Envelopment Analysis (DEA), we regressed the scores on external covariates and ownership type using a pooled truncated maximum likelihood formulation. Our findings, which survive correction for spatial correlations, indicate that cooperatives are less technically efficient than their capitalist counterparts and struggle more to adapt to extreme weather fluctuations. Both results are particularly worrying in light of the main challenges facing the wine industry in the near future: liberalization of EU planting rights and climate change.     

Climate Forecasts and Flood Mitigation

There is growing evidence that flood mitigation is often inefficient because individuals misestimate flood risk. The propensity to misestimate flood risk is expected to rise because climate change ensures the past will be a poor predictor of the future. Greater reliance on downscaled climatological and hydrological forecasts has been suggested to address these information failures. This article combines stochastic dynamic programming with historical data and climate‐driven streamflow projections to determine how changes in flood risk forecasts influence optimal investments in flood mitigation infrastructure. Using upgrades in California's levee system as an example, we show that climate change is causing benefit–cost analysis to become increasingly biased in favor of flood mitigation infrastructure projects. We also show that using downscaled hydroclimate forecasts to achieve more accurate estimates of flood risk can decrease the efficiency of flood mitigation infrastructure investments, if flood risk is currently overestimated. JEL Classification: D81 Q25 Q54     

CO‐OP OPEN MEMBERSHIP: ECONOMIC AND FINANCIAL EFFECTS

This paper aims to analyze the objectives pursued by cooperatives upon opening doors to new members and how this affects business activity and financial indicators. Surprisingly, the results show that accepting new partners makes no positive impact on the return on assets, but it does make a variable impact on financial indicators according to the type of cooperative. Distinguishing between agricultural and worker co‐ops, we conduct a cross‐sectional study of a sample of Galician cooperatives to find whether they apply this principle the same way regardless of membership size. Our results corroborate that cooperatives apply the principle differently. This not only allows us to extract other relevant information from accounting for cooperatives, but it also permits other agents like financial entities to obtain indicators that reflect the true company image more adequately.     

The Role of Gatekeepers in Capital Markets

Gatekeepers in financial markets have the power to provide the institutional stability, fortitude, and direction necessary for the development and the smooth functioning of capital markets. At the same time, they are often motivated by their own private incentives. This along with the tradeoffs they face, and the at‐times unintended consequences of the regulations they propose and enforce, can undermine their effectiveness. A thorough understanding of gatekeepers and their roles can thus illuminate academics, the financial community, and regulators on how such gatekeepers can be the most effective and generate the greatest benefits for capital markets. Since gatekeeping roles and the literature they have inspired encompass a wide array of institutions and agencies, our overview concentrates on those that the conference papers appearing in this volume focus on. We conclude that collectively, the papers contribute to significant progress, and point out some crucial areas that call for further investigation and offer opportunities for future research.     

广义货币M2增速放缓之谜

本文发现，2011年以来迅速发展的银行资产创新业务，影响了真实货币乘数增速 近80%的变动，主导了M2增速；而央行调控的外生基础货币增速对M2增速的影响可以忽略。 2017年以来，金融严监管压缩银行资产创新业务，造成其派生存款增速下降，是近期我国M2 增速下降的主要原因。如果金融监管维持高压态势，同时央行维持较低的基础货币增速，M2增 速将出现过快下滑，冲击实体经济。这对货币政策在“防范金融风险”与“支持实体经济”之 间寻求平衡提出严峻挑战。     

Relative Target Setting and Cooperation

A large stream of work on relative performance evaluation highlights the benefits of using information about peer performance in contracting. In contrast, the potential costs of discouraging cooperation among peers have received much less attention. The purpose of our study is to examine how the importance of cooperation affects the use of information about peer performance in target setting, also known as relative target setting. Specifically, we use data from an industrial services company where business unit managers need to share specialized equipment and staff with their peers to manage bottlenecks in their capacity. We construct several empirical proxies for the costs and benefits of information about peer performance and examine their effects on target setting. We find robust evidence that the sensitivity of target revisions to past peer performance is higher when peer group performance has greater capacity to filter out noise but lower when the importance of cooperation among peers is greater.