Convergence in Income Inequality: Further Evidence from the Club Clustering Methodology across States in the U.S.

This paper contributes to the sparse literature on inequality convergence by empirically testing convergence across states in the U.S. This sample period encompasses a series of different periods that the existing literature discusses -- the Great Depression (1929–1944), the Great Compression (1945–1979), the Great Divergence (1980-present), the Great Moderation (1982–2007), and the Great Recession (2007–2009). This paper implements the relatively new method of panel convergence testing, recommended by Phillips and Sul (2007). This method examines the club convergence hypothesis, which argues that certain countries, states, sectors, or regions belong to a club that moves from disequilibrium positions to their club-specific steady-state positions. We find strong support for convergence through the late 1970s and early 1980s, and then evidence of divergence. The divergence, however, moves the dispersion of inequality measures across states only a fraction of the way back to their levels in the early part of the twentieth century.     

Research Joint Ventures

Abstract.  Inter-firm collaboration is not new. What is new is that such collaboration has exploded during the past couple of decades, in parallel to the intensification of international competition. Moreover, the nature of collaboration has changed, shifting from peripheral interests to the very core functions of the corporation, and from equity to non-equity forms of collaboration. Importantly, cooperation focusing on the generation, exchange, and/or adaptation of new technologies has risen at very fast rates. Research joint ventures, the focus of this paper, belong in the latter category.
The proliferation of RJVs has created extensive interest among economists, business analysts, and policy decision-makers and led to the profusion of literature on the topic. This paper critically reviews the literature in industrial economics and strategic management that deals with RJV partner motives and RJV outcomes. The paper categorizes the different streams of this literature and indicates the state-of-the-art, synthesizes important understandings, and suggests key nodes of a future research agenda.     

Cross‐boundary working: Implications for HRM theory,methods, and practice

Major changes have taken place in work organisation, which originate predominantly from working across organisational boundaries. This paper argues for a more sophisticated approach to HRM that includes three types of cross‐boundary working, that is, intraorganisational, interorganisational, and transorganisational. Herein lies the contribution of our paper; we argue that we cannot assume a transition from one type of working to another because cross‐boundary forms of working coexist. We also need to understand the tensions of this simultaneity at the levels of the organisation/network, HRM systems, and the individual. We consider the impact of the simultaneous existence of these types of cross‐boundary working for the following: (a) theory, especially the development of HRM systems; (b) methods, including an activity‐based unit of analysis; and (c) practice, where we pay attention to the challenges of control, collaboration, and consistency.     

Horseshoe Regularisation for Machine Learning in Complex and Deep Models1

Since the advent of the horseshoe priors for regularisation, global–local shrinkage methods have proved to be a fertile ground for the development of Bayesian methodology in machine learning, specifically for high-dimensional regression and classification problems. They have achieved remarkable success in computation and enjoy strong theoretical support. Most of the existing literature has focused on the linear Gaussian case; for which systematic surveys are available. The purpose of the current article is to demonstrate that the horseshoe regularisation is useful far more broadly, by reviewing both methodological and computational developments in complex models that are more relevant to machine learning applications. Specifically, we focus on methodological challenges in horseshoe regularisation in non-linear and non-Gaussian models, multivariate models and deep neural networks. We also outline the recent computational developments in horseshoe shrinkage for complex models along with a list of available software implementations that allows one to venture out beyond the comfort zone of the canonical linear regression problems.     

From immersion to intention? Exploring advances in prosocial storytelling

Little empirical work has explored the psychological processes triggered by immersive technologies and how they might lead to more effective desirable prosocial outcomes. Thus, the current study explores two different modalities for presenting 360 videos—YouTube and head-mounted display (HMD)—as strategies for engaging audiences with cause-related stories. Across three stories, using these technologies led to the highest levels of presence, but there was no association between presence and increased attitudes towards the story content. Only narrative engagement impacted prosocial attitudes towards the video content. Data suggest that regardless of the technology used, telling engaging narratives that increase the viewer's self-efficacy is key to behavioral intentions—immersive technologies help viewers feel closer to the physical location of the narrative, but not the narrative itself.     

Value-added tax options for India

The pressures of aggregate revenue, the requirement of a reduced role for customs duties for the liberalization of the economy, and the complexity and strains of the current system together point clearly toward the desirability of tax reform in India. Since domestic indirect taxes provide the major source of revenue, they deserve special attention. This paper argues that India would benefit from moving toward a system of value-added taxation (VAT) and focuses on the way in which a VAT (or VATs) can be best introduced into India given the country's federal structure. Three different options are distinguished: a central VAT, dual VAT, and states' VAT. We argue that the first is politically infeasible, that the second represents the best way forward in the short term, and that the third deserves consideration as a long-run option. Special attention is paid to the problems that would arise under either a states' or a dual VAT with regard to taxing interstate trade.     

Sizing up information and communication technologies as agents of political development in sub-Saharan Africa

It is widely speculated that the emergence of modern information and communication technologies (ICTs) will boost political development in the developing world. This expectation anchors on solid foundation since, presumably, the ICT revolution would radically alter access to information, dislodge entrenched social cleavages, and unleash new patterns of citizen consciousness and civic engagement by hitherto marginalized mass publics, and orchestrate new and decisive political equilibriums. This research provides an empirical assessment of the impact of ICTs on political development in sub-Saharan Africa. The analysis suggests that speculation about the potential for ICTS to enhance political development in the sub-Sahara is not unrealistic. The levels of phone, computer, and Internet diffusion are associated with political development, although only the effect of the phone remains once other variables are specified. The phone is the most robust of all individual factors explaining variations in political development. However, the effect of ICTs on political development can neither be certified as revolutionary, nor can they be codified as panacea.     

Privatization and telephone numbers

This report is the Rapporteur's personal impression of the presentations given at the World Privatization of Telecommunications Conference in Amsterdam, 23–24 June 1992. It includes some commentary of his own.     

Exploring Comparative Ratings and Constituent Facets of Public Trust in Risk Regulatory Bodies and Related Stakeholder Groups

This paper reports on two comparative ranking tasks performed by a sample of the British citizens (N = 304). The first was designed to compare levels of relative trust vested in a sample of UK risk regulatory bodies and associated stakeholder groups. The second sought to elicit a ranking of a range of previously identified facets of social trust referenced to their desirability as attributes of a government funded risk regulatory body. The ranking tasks were embedded within a broader programme of research focused on “Evaluating public understandings of and trust in the Health and Safety Executive” (Pidgeon et al., 2003). It is argued that deriving rankings of multi‐faceted phenomena using the method of paired comparisons offers a more robust approach to rating social trust entities than the direct ranking techniques used in previous studies in this area. Results are discussed with reference to qualitative findings from the broader programme of work on public trust in HSE (Pidgeon et al., 2003) and the wider literature on public trust in risk regulation.     

Manufacturing output and extreme temperature: Evidence from Canada

This paper analyzes the effects of extreme temperature on manufacturing output using a data set covering the universe of manufacturing establishments in Canada from 2004 to 2012. Extreme temperature can affect manufacturing activity directly through its impact on labour productivity and indirectly through a change in demand for products. Using a panel fixed effects method, our results suggest a non-linear relationship between outdoor extreme temperature and manufacturing output. Each day where outdoor mean temperatures are below $-18$ °C or above 24 °C reduces annual manufacturing output by 0.18% and 0.11%, respectively, relative to a day with mean temperature between 12 ° and 18 °C. In a typical year, extreme temperatures, as measured by the number of days below $-18$ °C or above 24 °C, reduce annual manufacturing output by 2.2%, with extreme hot temperatures contributing the most to this impact. Given the predicted change in climate for the mid- and end of century, we predict annual manufacturing output losses due to extreme temperature to range between 2.8% and 3.7% in mid-century and 3.7% and 7.2% in end of century.