What is in a surname? The role of ethnicity in economic decision making

This article reports results from two experiments that investigate possible incidence of discrimination against people with foreign backgrounds in Sweden. In the first experiment, participants played the trust game and the dictator game with co-players of different ethnic affiliation. The family name of the players was exposed to their co-players. Results for the trust game showed no significant discrimination against co-players with foreign backgrounds. On the other hand, the results for the dictator game showed a statistically significant discriminatory behaviour by men against co-players with non-European backgrounds. The discriminatory behaviour was solely a male phenomenon. In the second experiment, the dictator game was replicated to check the stability of the results in the first experiment. The second experiment also examined whether people with foreign backgrounds discriminate against other people with foreign backgrounds; that is, the purpose was to discover whether discrimination is systematic. The observations in the second experiment underlined the results found in the first experiment: foreign co-players are discriminated against by Swedish players. However, we did not find that people with foreign backgrounds discriminated against other people with foreign backgrounds.     

Further evidence on the credit view: the case of Finland

The present paper provides further empirical evidence on the credit view (i.e., bank credit availability has a positive impact on macroeconomic activity) by investigating the case of Finland. The Finnish economy suffered a severe recession in the early 1990s that was marked by widespread banking crisis and extensive government intervention. Using monthly data for the 1980–1996 period, unrestricted and restricted vector autoregression (VAR) models with GDP, money supply, consumer prices, bank credit, and exports were estimated. It is found that, while money supply had the largest effect on economic output, bank credit exhibited a fairly strong effect on output that exceeded price effects for the most part. Exports had little impact on fluctuations in GDP but did help to explain industrial output changes over time. Based on these results, it is concluded that there is empirical support for the credit view in Finland. By implication, government intervention in Finland to restore safety and soundness during the banking crisis likely limited further damage to the macroeconomy associated with disruption of credit intermediation services.     

Inaudible Noise: Belgrade’s Academy Club: Legacy,Old Locals and New Spaces

Abstract

This text deals with the transformation of spaces for ‘underground’ forms of leisure in Belgrade, Serbia. In these spaces, different styles of non‐mainstream music are enjoyed by disparate social groups, referred to here as ‘the underground scene’. The spatial and stylistic transformation of venues for ‘creative leisure’ in Belgrade is read in this article as an articulation of discourse. Fragmentation of music consumption is arguably a global trend acknowledged in many treatises. Discourses within the multifaceted Belgrade underground music scene seem to correspond to such fragmentation. In this case it was found that the development of such identity practices depends on the articulation of concrete social factors and constraints. This paper focuses on the Academy nightclub, its transformations and long‐term impact on the Belgrade scene, including the emergence of other venues that have superseded, but have not fully surpassed, this seminal space.     

An Algorithm for Allocating Sponsored Recommendations and Content: Unifying Programmatic Advertising and Recommender Systems

Retailing and media platforms recommend two types of items to their users: sponsored items that generate ad revenue and nonsponsored ones that do not. The platform selects sponsored items to maximize ad revenue, often through programmatic auctions, and nonsponsored items to maximize user utility with a recommender system (RS). We develop a binary integer programming model to allocate sponsored recommendations considering dual objectives of maximizing ad revenue and user utility. We propose an algorithm to solve it in a computationally efficient way. Our method is a form of postfiltering to a traditional RS, making it widely applicable in two-sided markets. We apply the algorithm to data from an online grocery retailer and show that user utility for the recommended items can be improved while reducing ad revenue by a small amount. This multiobjective approach unifies programmatic advertising and RS and opens a new frontier for advertising and RS research. We provide an extended discussion of future research topics.     

ESG Investing in Emerging and Frontier Markets

The authors discuss the benefits of considering material environmental, social, and governance (ESG) factors when investing in emerging and frontier markets. Companies that operate in these markets face a myriad of operating challenges, and management teams that respond to such challenges effectively can achieve superior financial performance over time. They are able to grow faster, achieve higher profitability, reduce their cost of capital, and manage exogenous risks better than their peers. For investment managers, integrating sustainability into the analysis process provides a differentiated lens to identify companies that possess strong competitive advantages that can drive value creation over time. At the same time, it can help investment managers avoid companies that have embedded risks in their business model or operations that may not be entirely visible to the market. Finally, given the early‐stage nature of many of these markets and the sometimes uneven understanding of sustainability issues at a company level, the authors argue that active ownership can be an important driver of alpha generation by fund managers. Engaging constructively with board members and management teams to improve a company's ESG profile can help drive operational improvements, strengthen the risk management function, and upgrade investors’ perception of the quality of the management team.     

Contingent Factors,Extent of Budget Use and Performance: A Structural Equation Approach

The present study investigates the contextual factors that impact the extent of budget use and performance based on contingency theory. For this purpose, we carried out a questionnaire survey of Turkish firms. In order to analyse the data, confirmatory factor analysis and covariance‐based structural equation modelling were used. We find that the extent of budget use and performance are affected significantly by contextual factors. Size, structure, perceived environmental uncertainty (PEU) and information technology (IT) determine the extent of budget use. The study also finds that performance is significantly affected by the extent of budget use and other contingent factors (i.e., structure, PEU, functionality of IT). Furthermore, there is a mediating role of budget use between contextual factors and performance.     

On Lionel McKenzie's 1957 intrusion into 20th‐century demand theory

In this essay, we read McKenzie's 17 paragraphs of 1957 on “Demand Theory Without a Utility Index” as an opening to the narrative of 20th‐century demand theory and as a lever for the understanding of what has now reached culmination as the neoclassical theory of demand. In tracking the influence of these paragraphs on both theoretical and applied work, we also use them as a foothold for reflection on the process of theorizing to argue for the view that one cannot neglect the (changing) problematic that the theory is adduced to address, that the historical narrative behind a particular theorem is indispensable in understanding the theorem itself. This implicit theorizing of the process of theorizing then forces us to consider Stigler's distinction between textual and scientific exegesis and confront it to a second‐order level of theorizing, and thereby bring out the continuity, possibly not quite seamless, between a theorem and its history.     

Knowledge spillovers through FDI and trade: the moderating role of quality-adjusted human capital

The paper extends the findings of the Coe and Helpman (Eur Econ Rev 39(5):859-887, 1995) model of R&D spillovers by considering foreign direct investment (FDI) as a channel for knowledge spillovers in addition to imports. Deeper insights on the issue are provided by examining the inter-relationship between knowledge spillovers from imports and inward FDI. Furthermore, human capital is added to the discussion as one of the appropriability factors for knowledge spillovers, with special focus on its quality-content, using journal publications and patent applications. Applying cointegration estimation method on 20 European countries from 1995 to 2010, the direct effects of FDI-related as well as import-related spillovers on domestic productivity are confirmed. Furthermore, a strong complementary relationship is found between knowledge spillovers through the channels of imports and inward FDI. When considering quality-adjusted human capital, countries with better human capital are found to benefit not only from direct productivity effects, but also from absorption and transmission of international knowledge spillovers through imports and inward FDI. Finally, technological distance with the frontier does not appear to play a role in the absorption of import and FDI related knowledge spillovers.     

Forecasting Canadian time series with the New Keynesian model

Abstract.  This paper assesses the out-of-sample forecasting accuracy of the New Keynesian Model for Canada. We estimate a variant of the model on a series of rolling subsamples, computing out-of-sample forecasts one to eight quarters ahead at each step. We compare these forecasts with those arising from vector autoregression (VAR) models, using econometric tests of forecasting accuracy. We show that the forecasting accuracy of the New Keynesian Model compares favourably with that of the benchmarks, particularly as the forecasting horizon increases. These results suggest that the model could become a useful forecasting tool for Canadian time series.