Capital Income Taxes and Growth in a Stochastic Economy: A Numerical Analysis of the Role of Risk Aversion and Intertemporal Substitution

This paper undertakes a numerical analysis of the effects of changes in the tax rates on domestic and foreign capital income in a stochastically growing open economy under recursive preferences, in which the rate of time preference, ?, and the coefficient of risk aversion, R, can be set independently. The responses of the equilibrium growth rate, its volatility, and welfare to changes in the tax changes considered are highly sensitive to the independent variations in both ? and R. Consequently, the errors committed by using the conventional constant elasticity utility function, even for small violations of the compatibility condition (R= 1/?) can be significant, suggesting that this functional form should be employed with caution.     

The odd-ending price justification effect: the influence of price-endings on hedonic and utilitarian consumption

This paper examines how odd-ending pricing influences consumption of hedonic and utilitarian products. Four studies test the hypothesis that the discount image associated with odd-ending prices reduces anticipated guilt and provides justification for hedonic consumption – an effect the authors label the odd-ending price justification effect (OPJE). Study 1 reveals people are more likely to choose hedonic over utilitarian products when they have odd-ending prices. Study 2 finds that the effect of odd-ending prices on hedonic consumption is mediated by guilt reduction. Study 3 reveals a boundary condition for the OPJE – purchase likelihood of hedonic products increases only when monetary, not nonmonetary, guilt is reduced. Study 4 suggests the OPJE operates at an unconscious level, as consumers who are made aware of the trivial difference between odd- and round-ending prices are no longer influenced by odd-ending prices. The theoretical, practical, and research implications of these findings are discussed.     

A general procedure of estimating the population variance when coefficient of variation of an auxiliary variable is known in sample surveys

This paper deals with the problem of estimating population variance ${{S}_{\rm y}^2}$ of the study variable y. We have suggested a family of estimators of population variance ${{S}_{\rm y}^2}$ using the transformations on both the study variable and the auxiliary variable when coefficient of variation of an auxiliary variable x is known. The suggested family of estimators is very wide from which we can generate many estimators by putting the suitable values of scalars. The bias and mean squared error have been obtained upto the first order of approximation. The empirical study is carried out to the support of the suggested family of estimators.     

To Spend the U.S. Government Surplus or to Increase the Deficit? A Numerical Analysis of the Policy Options

This paper provides a numerical analysis of the likely benefits from adopting alternative ways of reducing the projected fiscal surplus (as of the summer 2001) in the United States economy. Calibrating a small growth model, our results suggest that investing the surplus in public capital is likely to yield the greatest long-run welfare gains, although decreasing the capital income tax is only marginally inferior. Both these options dominate increasing government consumption expenditure or decreasing the tax on labor income. By shifting resources from consumption toward capital the two superior policies involve sharp intertemporal tradeoffs in welfare; significant short-run welfare losses are more than compensated by large long-run welfare gains. By contrast, the two inferior options are gradually welfare-improving through time. A crucial factor in determining the benefits of reducing the government surplus through spending is the size of the government sector relative to the social optimum. We find that the second-best optimum is to increase both forms of government expenditure to their respective social optima, while at the same time restructuring taxes by reducing the tax on capital and raising the tax on wage income to achieve the targeted reduction in the surplus. J. Japan. Int. Econ., December 2002, 16(4), pp. 405–435. Department of Economics, University of Washington, Seattle, Washington; and Department of Economics, Terry College of Business, University of Georgia, Atlanta, Georgia. © 2002 Elsevier Science (USA).Journal of Economic Literature Classification Numbers: E62, O41.     

Growth in India’s Service Sector: Implications of Structural Breaks

The paper is an attempt to identify the multiple structural breaks in India’s GDP, as well as its main growth enhancing sector i.e., services and its components and subsequently calculate the growth rate in different regimes. The paper uses the Bai-Perron (Econom 66(1), 1998, J Appl Econom 18(1), 2003) methodology of estimating multiple endogenous structural breaks (both pure and partial) in India’s service sector and its components and GDP during 1950–2010. Further, the paper uses the Boyce (Oxf Bull Econ Stat 48:385–391, 1986) methodology of estimating kinked exponential model of the growth rate, and further uses the Banerjee, Lumsdaine and Stock (J Business Econ Stat 10:271–287, 1992) test and the Lumsdaine and Pappel (Rev Econ Stat 79:212–218, 1997) test to check for the stationarity in the presence of structural breaks. The data used in this paper are the components of subsectors of services GDP and GDP at factor cost (with 2004–2005 as base). It is found that there is very little difference between the estimation of pure and partial structural break dates in India’s services GDP and its subsectors and four such breaks have been identified with help of Bai-Perron (Econom 66(1), 1998, J Appl Econom 18(1), 2003) methodology. The Boyce methodology of estimation of growth rates finds that mainly in the third and fourth regimes, the growth rates are highest in the subsectoral as well as at the aggregate levels of services GDP. The Banerjee, Lumsdaine and Stock test (J Business Econ Stat 10:271–287, 1992) and the extended Lumsdaine and Pappel test (Rev Econ Stat 79:212–218, 1997) cannot negate the presence of unit root in the data, irrespective of the presence of multiple structural breaks. The paper concludes with the identification of four broad regimes of growth of India’s services GDP and in the subsectors with possible explanations thereof.

     

An alternative approach to discriminating multivariate populations and its applications to marketing research

A new method for discriminating among multivariate populations, called the Hausdorff procedure, is introduced to the marketing literature. Rules for classification are defined and a limited simulation study is conducted. For the simulation, both the level of collinearity among the discriminating variables and the level of overlap among the populations are varied. The results indicate that this new procedure is particularly suitable when there is either a high degree of collinearity among the predictor variables or considerable overlap of the populations being investigated. The Hausdorff procedure is also applied to two sets of consumer data. In each instance, it is found to be superior to linear discriminant analysis with respect to the percentage of correct classifications.     

Rubinstein Auctions: On Competition for Bargaining Partners

This paper analyzes the effect of competition for bargaining partners on the prices that prevail in thin markets, as well as how the matches are simultaneously determined. Three trading processes or bargaining procedures are described. In all the variants that we consider, except for one case of public offers, either there is no pure strategy subgame perfect equilibrium or such equilibria exhibit delay in reaching agreement.Journal of Economic LiteratureClassification Numbers: C72, D43.     

Strategy,human capital investments,business‐domain capabilities,and performance: a study in the global software services industry

Research summary : In knowledge‐based industries, continuous human capital investments are essential for firms to enhance capabilities and sustain competitive advantage. However, such investments present a dilemma for firms, because human resources are mobile. Using detailed project‐level operational, financial, and human capital data from a leading multinational firm in the global IT services industry, this study finds that deliberate investments in improving general human capital can help firms develop superior capabilities and maintain high profits. This paper identifies two types of capabilities essential for success in this industry—technological and business‐domain capabilities—and provides empirical evidence justifying such investments. Theoretical and practical implications of capability‐seeking general human capital investments are discussed. Managerial summary : The primary managerial implication of this research is that capability‐seeking investments in developing general human capital through strategic learning (training and internal certifications) can enhance firm performance. Although investing in general human capital is risky, the firm considered this a strategic necessity in order to thrive in the fast paced IT services industry. By leveraging general technological skills in combination with business‐domain knowledge to address customer's business problems firms can earn and sustain higher profits. Our study also demonstrates how a developing‐country firm responded to strong competitive challenge from global rivals possessing superior capabilities by upgrading the capabilities of its employees through internal development. In doing so the firm was able to narrow the capability gap vis‐à‐vis its foreign peers and expand its business globally. Copyright © 2016 John Wiley & Sons, Ltd.