Reevaluating the prudence of economic forecasts in the EU: The role of instrument persistence

Christodoulakis and Mamatzakis (2009, Journal of Applied Econometrics 24, pp. 583–606) estimate the EU Commission loss preferences for selected economic forecasts of 12 EU Member States. They employ the generalized method of moments (GMM) estimation procedure proposed by Elliott et al. (2005, Review of Economic Studies 72, pp. 1107–1125) and find the forecasts to be somewhat optimistic on average. However, this note shows the GMM estimator to possess nonstandard limiting distributions when some of the instruments are highly persistent, which is the case with one of the instruments employed by Christodoulakis and Mamatzakis. Standard distributions are recovered in some interesting particular cases which are relevant in practice. A reexamination of the EU Commission loss preferences using methods robust to persistence and a dataset extended to 2017 reveals that, while the conclusions of the original study are, by and large, still justified, the EU Commission loss preferences have become more symmetric over the whole studied period.     

Blockchain in Additive Manufacturing and its Impact on Supply Chains

Additive manufacturing (AM) appears to be a particularly attractive use case for blockchain. This research combines inductive in‐depth interviews with the Delphi method to explore what potentials blockchain technology in AM creates, which adoption barriers firms need to overcome, and how supply chains will be affected by the integration of these two potentially disruptive technologies. The results suggest opportunities that are related to intellectual property (IP) rights management, the monitoring of printed parts throughout their lifecycle, process improvements, and data security. The most important barriers for blockchain adoption in AM are an absence of blockchain‐skilled specialists on the labor market, missing governance mechanisms, and a lack of firm‐internal technical expertise. By addressing important limitations of AM, blockchain is expected to improve the competitiveness of AM in parts’ production, catalyzing the trend toward more decentralized manufacturing resulting in more agile, resilient, and flexible supply chains and reduced logistics costs. Beyond that, blockchain‐based AM platforms are expected to enhance supply chain visibility, drive supply chain digitalization, support supply chain finance, and contribute to the emergence of shared factory systems.     

Using the Pack‐and‐a‐Half Rule to Eliminate Backroom Inventories in Retail Operations

In the retail industry, backroom inventories are typically associated with higher labor costs and greater operational complexity. Thus, retailers look for ways to eliminate backroom inventories. A heuristic used for this purpose is the pack‐and‐a‐half rule which suggests that the shelf space allocated for a product should be at least 50% larger than the case pack quantity in which the product is delivered. Despite its popularity among retailers, the pack‐and‐a‐half rule has been ignored in the academic literature. We introduce the pack‐and‐a‐half rule, assess its impact on a retailer's profits, identify cost, demand, and product characteristics driving this impact, and propose a modification. Based on an analysis of data obtained from a retailer on 1,986 SKUs in 20 categories, we find that the pack‐and‐a‐half rule decreases a retailer's profits, on average, by 10% when applied uniformly across all SKUs. Further, this decrease is significantly affected by product depth, product width, demand elasticity, case pack quantity, and inventory carrying cost. Finally, we develop a set of modifications based on these variables where the pack‐and‐a‐half rule is applied selectively and in a stepwise fashion. These modifications limit the decrease in a retailer's profits to a range between 6% and 7%.     

Should the Pre‐Notification of Mergers Be Compulsory in Australia?

Australia is unusual among the world's antitrust jurisdictions in not making the pre‐notification of mergers compulsory. However, if the parties are concerned that the Australian Competition and Consumer Commission (ACCC) is likely to object to the merger, there are strong incentives for them to notify the ACCC as the regulator has developed a strong reputation for imposing heavy costs on parties that fail to notify such mergers. The result is a system of quasi‐compulsory notification that creates the strongest incentives for parties to notify the ACCC of those proposals to which it is most likely to object. This study analyses data extracted from the ACCC's merger database and the empirical results are consistent with this characterisation. Mergers reported voluntarily by the parties are found to experience longer delays to completion, and are more likely to be challenged by the ACCC, when compared with a sample of all other mergers assessed by the regulator. The results suggest that non‐compulsory notification allows the parties themselves to pre‐sort the proposed merger vis‐à‐vis its interest to the ACCC.     

Economic Implications of Alternative Allocation Schemes for Emission Allowances*

For reasons of political feasibility, emission trading systems may have to rely on free initial allocation of emission allowances in order to ameliorate adverse production and employment effects in dirty industries. Against the background of an emerging European‐wide emission trading system, we examine the trade‐off between such compensation and economic efficiency under output‐based and emissions‐based allocation rules. We show that the emissions‐based allocation rule is more costly than the output‐based rule in terms of maintaining output and employment in energy‐intensive industries. When the international allowance price increases, the inferiority of emissions‐based allocation vis‐à‐vis output‐based allocation becomes more pronounced, as emission subsidies drastically restrict efficiency gains from international trade in emission allowances.     

A History of the D–Mark's Real External Value

An equilibrium time path of the real effective exchange rate of Germany's currency in the post Bretton Woods period is calculated. For this purpose, a NATREX model for the long–run determination of this specific variable is developed. A cointegration analysis gives evidence in favour of the model and provides the equilibrium values. The theoretical and empirical results are used to analyse in detail movements in the real exchange rate of the D–Mark. Estimation results suggest, among other things, that the D–Mark has mostly been overvalued and that it often adjusted with some delay to changes in the fundamentals.     

The Prophecy of Place: A Labor Market Study of Young Women and Education

This study demonstrates that place—defined in this article as labor market area (LMA)— provides a useful context for examining how youth manage gendered situations. Places vary by conditions in which gender is more, less or differently salient, and a particular mix of factors accommodates different individual outcomes. This study utilizes multi–level modeling to examine influence of LMA characteristics on over–time educational measures for young women (Center for Human Resource Research 1994). Hierarchical models determine place–level effects on both average outcomes (within and between LMAs) and attainment processes. A major finding of this study is that aggregate place effects channel personal decisions and outcomes of young women. Young women's educational aspirations are dependent on gender– specific variables such as the number of women in college or the number of young women married in a local area. Attainment depends on the percentage of women in higher education and a local labor market's average age at first marriage. Further, what are assumed to be positive environmental effects (e.g., manufacturing dominance) are based on structural advantages for men and actually depress outcomes for women. Notably, the influence of place is independent of strong individual–level determinants, including social class.