Data frequency and exchange rate pass-through: Evidence from India's exports

This paper studies the pricing behavior of Indian exporters using both annual and monthly data in order to uncover the role of data frequency in determining variation in the degree of short and long-run exchange rate pass-through (ERPT). Export price data during the post-1991 economic reforms period is disaggregated at the two-digit industry level and using a novel methodology in the ERPT literature (cointegration for heterogeneous panels) cross-industry differences in adjustment are identified. We observe that there is clear evidence of incomplete ERPT to prices in India's export markets, after having controlled for the level of exchange rate volatility and domestic inflation as an indicator of variations in marginal cost. The empirical results indicate that monthly data reflect more incomplete ERPT to destination market prices, relative to annual data, in which all the short run rigidities are more likely to have been adjusted. Thus studies that use higher frequency data are more likely to find incomplete ERPT in the short-run, even in the context of an emerging market economy. In the long-run, incomplete ERPT subsists in a few industries for both data frequencies.     

Urban Poverty,Segregation and Social Networks in São Paulo and Salvador,Brazil

General consensus exists concerning the relevance of networks and space in poverty situations, despite a considerable dispute on the prominence of each element. While social‐support and poverty debates highlight the joint importance of space and networks, the research agenda on contemporary communities suggests that networks have recently started replacing space in social integration. These debates mainly consider networks and ties normatively and are restricted to the global North, hampering the formulation of comparative interpretations and more theoretical conclusions. This article discusses the relationship between space, sociability and poverty, based on research results on networks of poor individuals in two major Brazilian metropolises—Salvador and São Paulo. Research indicates the existence of great heterogeneity in the networks of poor individuals, although with substantial differences, on average, to middle‐class individuals. Certain types of networks and sociability are systematically associated with better living conditions, employment and income. Additionally, network mobilization by individuals presents important regularities associated with social mechanisms, understood as regular patterns that trigger or cause certain results. These mechanisms explain to a great extent the heterogeneity of networks, and mediate the individual's access to opportunities and everyday assistance. They therefore contribute decisively to the production (and reproduction) of urban poverty.     

Substituting Distribution for Growth: The Political Logic of Intergovernmental Transfers in the Russian Federation

Given limited resources and economic realities, how do politicians distribute monetary transfers in order to retain office? Previous work has largely focused on two models – a core model of rewarding loyal supporters and a swing model of purchasing the support of easily swayed voters. Empirical results have proven mixed, however. In this article, we argue that these mixed results are due to economic factors, which condition politicians' distributive strategies. In our model, we consider that politician and voters are involved in a repeated game, where past expectations condition future strategy. Current (core) supporters who receive few benefits and perceive themselves worse off than other, less loyal, groups are likely to be less loyal themselves tomorrow. In our model, politicians avoid this by providing their supporters consumption benefits directly, in the form of transfers, or indirectly, via strong economic growth. Where economic growth is good, politicians can distribute less to core supporters, who benefit from the rising economy. Where economic growth is weak, however, politicians make transfers to their core supporters to ensure future loyalty. We test our theory using data on federal transfers from the Russian Federal government to 78 Russian Regions from 2000–2008.     

What Determines Sectoral Trade in the Enlarged EU?

In this paper, we estimate a sectoral gravity model for trade within a heterogeneous trade bloc, the enlarged EU, comprised of a high‐income group (wealthiest EU), a middle‐income group (Greece, Portugal and Spain), and a low‐income group (new Central and Eastern European member countries). The estimation was conducted on sectors with different degrees of scale economies and skill‐intensities in the presence of transport costs. The results offer support for the call to incorporate trade theories based on both endowments and scale economies. In addition, whilst integrating poorer countries is beneficial for all of the participants in the bloc, there is still a role for a redistribution policy, such as the EU's Regional Policy, which should comprise a mix of policies, focusing on both income and education/skills, together with infrastructure development.     

SECTORAL EXCHANGE RATE PASS-THROUGH: TESTING THE IMPACT OF POLICY REFORMS IN INDIA

This paper analyses the impact of India's policy reforms on exchange rate pass‐through into import and export prices, using panel data (at one‐digit SITC level) for pre‐ (1980–90) and post‐reform (1991–2001) periods. While the pass‐through into import prices has declined, the pass‐through into export prices (in USD terms) has increased during the 1990s. The results suggest that, relative to rupee depreciation, Indian exporters increased their USD prices around 20% in the 1980s, but decreased them by around 70% in the 1990s. Moreover, the number of sectors exhibiting some degree of pass‐through increased in the 1990s (six), relative to the 1980s (three). These changes may be attributable to the elimination of currency and trade controls, which increased competition among firms and fostered a concern with market share gains in the 1990s over an attempt to use depreciations to increase profits in the 1980s.     

What do we [not] know about technology entrepreneurship research?

This study aims to review what we do (and do not) know about technology entrepreneurship (TE) research to date. Based on a categorized bibliometric analysis resulting from a systematic review of 135 scientific articles published in refereed journals over the past 27 years (1986–2013), we identify the core domains of TE, its intellectual structure, the scientific journals with a major impact in this field of research, and the affiliation and collaboration networks within it. Specifically, through a detailed analysis of article co-citations within the TE area, this study provides co-citation networks of authors, journals, and their respective clusters, revealing their rankings in terms of contributions to the TE literature. This comprehensive analysis can be used to enhance our understanding of TE and support further research in this field.     

A systematic mapping study of process mining

This study systematically assesses the process mining scenario from 2005 to 2014. The analysis of 705 papers evidenced ‘discovery’ (71%) as the main type of process mining addressed and ‘categorical prediction’ (25%) as the main mining task solved. The most applied traditional technique is the ‘graph structure-based’ ones (38%). Specifically concerning computational intelligence and machine learning techniques, we concluded that little relevance has been given to them. The most applied are ‘evolutionary computation’ (9%) and ‘decision tree’ (6%), respectively. Process mining challenges, such as balancing among robustness, simplicity, accuracy and generalization, could benefit from a larger use of such techniques.     

Tourist expectations and perception of service providers: a Brazilian perspective

Service Business - This research studies the formation of tourist expectations around a tourist destination and the existence of a knowledge gap between this group and perceptions of tourism...     

Enhancing individual entrepreneurial orientation measurement using a metacognitive decision making-based framework

Entrepreneurship, and individuals’ predisposition toward entrepreneurial activities in particular, i.e. Individual Entrepreneurial Orientation (IEO), has been gaining increasing relevance in academia and management practice alike. Understanding IEO is a critical element not only for its promotion, but for better and more informed managerial and investor decision making as well. As such, this study proposes a new framework for understanding and measuring IEO based on the integrated use of cognitive mapping and the interactive multiple criteria decision making (TODIM) method. We present the steps for building such a framework, as well as a practical application of these steps. The results are promising: the methodology applied allowed a large number of determinants of IEO and their relationships to be mapped; and, subsequently, ranked and weighted for the creation of an IEO measurement tool. The implications of the resulting framework for theory and practice, its limitations and possibilities for further research are also discussed.     

Disclosure strategies among S&P 500 firms: Evidence on the disclosure of non-GAAP financial measures and financial statements in earnings press releases

This paper examines the prominence of non-GAAP financial measures in press releases, testing whether managers emphasize these adjusted performance measures relative to GAAP numbers in four different settings where their disclosure helps managers reach strategic earnings benchmarks on a pro forma basis when they would otherwise fall short using GAAP numbers. Moreover, this research investigates the information content of disclosures reconciling non-GAAP to GAAP earnings (and other financial statements). The data is hand collected from quarterly earnings press releases of a sample of S&P 500 firms during the 2001–2003 period. In this particular sample, the disclosure of non-GAAP financial measures is frequent. The results suggest that managers strategically give more prominence to non-GAAP measures than to GAAP figures when the GAAP earnings number falls short of a benchmark but the non-GAAP earnings number does not. This disclosure strategy may influence the perception of the firm's financial results. Furthermore, the results suggest that both the reconciliation and the non-GAAP income statement contain information useful for users.