Did the global financial crisis alter the competitive conditions in the Indian banking industry?

This article addresses a pertinent research question: Did the global financial crisis alter the competitive conditions in the Indian banking industry? In order to find the answer of this research question, we applied a dynamic version of the non-structural Panzar-Rosse model on a unique unbalanced panel dataset of Indian banks spanning over the period from 1998/99 to 2015/16. The robust estimates of H-statistic computed on the basis of the generalized method of moments estimates of the elasticities of input prices show that (i) Indian banks earned their interest and total revenue under monopolistic competition throughout the whole of the sample period and (ii) the global financial crisis altered the competitive conditions in the banking industry, and market moved closer to perfect competition following the financial crisis, especially when interest-bearing activities were in focus.     

The clock is ticking on readmission penalties

Hospital leaders who are considering initiatives to reduce readmissions by improving discharge processes and postdischarge care should begin with five action steps: Ascertain the hospital's Medicare 30-day readmission rates from July 1, 2011, to June 30, 2012. Based on these numbers, estimate the potential readmission penalties the organization may face. Identify a clear strategy or program for the organization to reduce 30-day readmissions and avoid Medicare penalties. Determine the overall direct and indirect costs of this strategy or program. Calculate the potential ROI of the initiative.     

Currency equivalent monetary aggregates as leading indicators of inflation

This study examines whether the Currency Equivalent (CE) Monetary Aggregates proposed by [Hutt, 1963] and [Rotemberg et al., 1995] can perform better in predicting inflation as compared to their simple sum counterparts. The components of four official measures of monetary constructs - M1, M2, M3 and L1 - are used to construct monthly CE monetary aggregates for the period from April 1993 to June 2009. The empirical evidence indicates that the growth rate of CE aggregates has an edge over their sum counterparts in predicting inflation. Moreover, the predictive power of the growth rates of CE aggregates improves as the level of aggregation increases. These evidences suggest that observing the movements in the growth rates of weighted monetary aggregates can be a better option within the “multiple indicator approach” which is being currently practiced by the Reserve Bank of India.     

An investigation of the cross-national determinants of customer satisfaction

Many multinational corporations have implemented cross-national satisfaction measurement programs for tracking and benchmarking the satisfaction of their customers across their various markets. These companies measure satisfaction with the goal of maximizing customer loyalty and the financial benefits associated with loyalty. However, existing research comparing consumer satisfaction across nations is limited, with the few existing studies examining only a small number of countries or predictors of satisfaction, or a small group of consumers within a particular economic sector. To expand our knowledge of the determinants of cross-national variation in customer satisfaction, we study three sets of factors: cultural, socioeconomic and political-economic. We utilize a unique sample of cross-industry satisfaction data from 19 nations, including nearly 257,000 interviews of consumers. Consistent with our hypotheses, we find that consumers in traditional societies have higher levels of satisfaction than those in secular-rational societies. Likewise, consumers in self-expressive societies have higher levels of customer satisfaction than those in societies with survival values. We also find that literacy rate, trade freedom, and business freedom have a positive effect on customer satisfaction while per capita gross domestic product has a negative effect on customer satisfaction. We discuss the implications of these findings for policymakers, multinational corporations, and researchers.     

IMF Conditionality and Country Ownership of Adjustment Programs

This article uses finance and agency theory to establish twokey propositions about International Monetary Fund (IMF) conditionalityand country ownership of IMF-supported adjustment programs.First, the authors propose that the conditionality attachedto these programs is justified. Second, the article hypothesizesthat country ownership of these programs is crucial for theirsuccess. Because IMF conditionality and country ownership areboth necessary, the challenge is designing conditionality thatmaximizes ownership while providing adequate safeguards forIMF lending. The article analyzes several recent proposals aimedat enhancing country ownership of policies contained in IMF-supportedprograms. These proposals include encouraging countries to designtheir own adjustment and reform programs, streamlining structuralconditionality, introducing flexibility in the timing of structuralpolicy measures (floating tranche conditionality), and applyingconditionality to outcomes rather than policies (outcomes-basedconditionality).      

Perspectives on Multiple Category Choice

Multiple category choice is a decision process in which an individualselects a number of goods, all of which are nonsubstitutable with respect toconsumption. Choices can be made either simultaneously or sequentially. Thekey feature of multiple category choice is the treatment of the choices asinterrelated because each item in the final collection of goods contributesto the achievement of a common behavioral goal. We discuss current andpotential applications of psychology, economics and consumer choice theoryin developing models of multiple category choice.     

Choice in Computer-Mediated Environments

In the last several years, the increased diffusion of computer andtelecommunications technologies in businesses and homes has produced newways for organizations to connect with their customers. These computermediated environments (CMEs) such as the World Wide Web raise new researchquestions. In this paper, we examine the potential research issuesassociated with CMEs in five areas: (1) decision processes, (2) advertisingand communications, (3) brand choice, (4) brand communities, and (5)pricing.     

Travel using managed lanes: An application of a stated choice model for Houston,Texas

Managed lane (ML) travel adds flexibility, but also complexity, to travel choices. Stated choice models (SCMs) are often used for modeling complex transportation choices such as these in an effort to predict demand for these travel options. The design methods for SCMs have evolved from simple orthogonal designs to more sophisticated designs such as D-efficient design that can increase efficiency in estimation. We used three different survey design strategies to produce the stated preference portion of surveys, which were used to elicit travel choices for a sample of Houston travelers. Apart from the D-efficient design we also used random and adaptive random designs to generate attribute levels. There were observable differences in choice behavior depending on what design strategy was used. These differences appear to influence estimates of the value of travel time savings (VTTS) obtained from the random parameter logit (RPL) models estimated using these data. This, in turn, would greatly impact the percentage of travelers predicted to use the MLs.The adaptive random strategy was superior to the other design methods in several categories, and it had similar efficiency to the D-efficient design. However, the mean of VTTS estimate obtained from a D-efficient design was closer to what is typically found in the literature. The difference was considerable and could greatly influence traffic and revenue estimates for the MLs, illustrating the importance of the survey design strategy.