4 resultados para India-United States Relationship
em Aston University Research Archive
Resumo:
This study was designed to study the role of Host Country National categorizationof female expatriate co-workers, in two samples – U.S., and India. Using data from 54participants in the U.S. and 52 participants in India, we found that respondents from Indiacategorized potential expatriate co-workers from the U.S. into in-group or out-groupsignificantly more than respondents from the U.S. Further, we found that femaleexpatriates from the U.S. are preferred by Indian HCNs as co-workers significantly morethan male expatriates from the U.S. We discuss implications for organizations and offersuggestions for future research.
Resumo:
Does exporting make firms more productive, or do more productive firms choose to become exporters? This paper considers the link between exporting and productivity for a sample of firms in US business services. We find that larger, more productive firms are more likely to become exporters, but that these factors do not necessarily influence the extent of exporting. This conforms with previous literature that there is a self-selection effect into exporting. We then test for the effect of exporting on productivity levels after allowing for this selection effect. We model both the relationship between exporting and productivity, and a simultaneous relationship between export intensity and productivity after allowing for selection bias. In both cases we find an association, indicating that productivity is positively linked both to exporting and to increased exposure to international markets.
Resumo:
Does exporting make firms more productive, or do more productive firms choose to become exporters? Given the amount of resources devoted by governments to supporting exporters, this is an important question. There are reasons to expect exporting to boost productivity, both through the exposure to foreign competition which exporting brings, and through ‘learning by exporting’. However, the broad thrust of previous research is that more productive firms self-select into export markets, with relatively little evidence that exporting leads to higher productivity thereafter. This paper considers the link between exporting and productivity for a sample of firms in US business services. We find that larger, more productive firms are more likely to become exporters, but that these factors do not necessarily influence the extent of exporting. This conforms with previous literature that there is a self-selection effect into exporting. We then test for the effect of exporting on productivity levels after allowing for this selection effect. We model both the relationship between exporting and productivity, and a simultaneous relationship between export intensity and productivity after allowing for selection bias. In both cases we find a clear association, indicating that productivity is positively linked both to exporting and to increased exposure to international markets.
Resumo:
This paper demonstrates a mechanism whereby rules can be extracted from a feedforward neural network trained to characterize the inflation "pass-through" problem in American monetary policy, defined as the relationship between changes in the growth rate(s) of individual commodities and the economy-wide rate of growth of consumer prices. Monthly price data are encoded and used to train a group of candidate connectionist architectures. One candidate is selected for rule extraction, using a custom decompositional extraction algorithm that generates rules in human-readable and machine-executable form. Rule and network accuracy are compared, and comments are made on the relationships expressed within the discovered rules. The types of discovered relationships could be used to guide monetary policy decisions.