Determination of Discrete Spectrum in a Random Field

We consider a two dimensional frequency model in a random field, which can be used to model textures and also has wide applications in Statistical Signal Processing. First we consider the usual least squares estimators and obtain the consistency and the asymptotic distribution of the least squares estimators. Next we consider an estimator, which can be obtained by maximizing the periodogram function. It is observed that the least squares estimators and the estimators obtained by maximizing the periodogram function are asymptotically equivalent. Some numerical experiments are performed to see how the results work for finite samples. We apply our results on simulated textures to observe how the different estimators perform in estimating the true textures from a noisy data.     

LIQUIDITY AND ASSET PRICING UNDER THE THREE‐MOMENT CAPM PARADIGM

We examine whether the use of the three‐moment capital asset pricing model can account for liquidity risk. We also make a comparative analysis of a four‐factor model based on Fama–French and Pástor–Stambaugh factors versus a model based solely on stock characteristics. Our findings suggest that neither of the models captures the liquidity premium nor do stock characteristics serve as proxies for liquidity. We also find that sensitivities of stock return to fluctuations in market liquidity do not subsume the effect of characteristic liquidity. Furthermore, our empirical findings are robust to differences in market microstructure or trading protocols between NYSE/AMEX and NASDAQ.     

A Comparison of Cost of Equity Estimates of Local and Global CAPMs

Cost of equity estimates are compared for three pricing models: the traditional local CAPM, the single (market) factor global CAPM, and the two‐factor global CAPM, with both market and currency index factors. For 2989 US stocks, the average difference in the cost of equity estimates is about 48 basis points between the local CAPM and the single‐factor global CAPM, and is about 61 basis points between the two global models. For 70 developed‐market ADRs, the corresponding average differences are 76 and 47 basis points, respectively. For 48 emerging‐market ADRs, the corresponding average differences are 57 and 70 basis points.     

Bank mergers and components of risk: An evaluation

The present study empirically examines the contribution of the acquired banks in only the nonconglomerate types of mergers (i.e., banks with banks), where the bulk of the payment is in the form of equity to the acquiring bank and finds overwhelmingly statistically significant evidence that nonconglomerate types of mergers definitely reduce the total as well as the unsystematic risk while having no statistically significant effect on systematic risk. Therefore, it seems that diversification may be a possible motive for bank mergers.     

Innovation, Imitation and Intellectual Property Rights: A Note on Helpman's Model

This note analyses the effect of the policy of tightening Intellectual Property Rights (IPR) on the rate of innovation in the North and on the welfare in both North and South in a model which is otherwise identical to Helpman (1993) except in the concept of knowledge capital. We assume that the South based imitated products do not contribute to the knowledge capital in the North. It is shown that the tightening of IPR raises the rate of innovation in the North and may improve the welfare of both North and South. These results are significantly different from those in Helpman (1993).     

Cointegration of U.S. budget and current account deficits: Twins or strangers?

In this paper the authors employ the cointegration approach to explore empirically the existence of a possible long-run equilibrium relationship between the U.S. budget deficits and the current account deficits. This study uses annual nominal data in levels for the postwar period 1946–1988. Both the DW and the ADF tests confirm that the two deficits are not cointegrated. It implies that the two deficits have no possibility of reverting to a long-run equilibrium relation.     

What drives the cross‐country growth and inequality correlation?

Abstract.  We present a neo‐classical model that explores the determinants of growth‐inequality correlation and attempts to reconcile the seemingly conflicting evidence on the nature of the growth‐inequality relationship. The initial distribution of human capital determines the long‐run income distribution and the growth rate by influencing the occupational choice of the agents. The steady‐state proportion of adults that innovates and updates human capital is path dependent. The output elasticity of skilled‐labour, barriers to knowledge spillovers, and the degree of redistribution determine the range of steady‐state equilibria. From a calibration experiment we report that a skill‐intensive technology, low barriers to knowledge spillovers, and high degrees of redistribution characterize the industrial countries with a positive growth‐inequality correlation. A negative correlation between growth and inequality arises for the group of non‐industrial countries with the opposite characteristics. JEL classification: E1, O4     

Redistributive Tax and Growth in a Model with Discrete Occupational Choice

An optimal redistributive tax-subsidy formula is derived for a growth model where income inequality is endogenously driven by an adult's choice of occupation between work and management. Investment in human capital is the engine of growth. The world's stock of exploitable knowledge as well as the economy's average human capital determine the potential rate of return from investment in human capital in an economy. How much available knowledge would be exploited in the economy depends on the proportion of innovators in our model. A redistributive tax reform impacts growth as well as income inequality via its influence over the occupational choice. The optimal redistributive tax rate is path-dependent in the sense that it depends on the initial wealth distribution. The normative implication of the model is that the optimal capital income tax rate could very well be positive if the initial wealth inequality exceeds a threshold. The optimal capital income tax rate depends inversely on the initial wealth inequality.     

Non-coercive influence: Scale development and validation based on resource and relational paradigms

To overcome competition in an increasingly network dependent market, retailers are required to influence upstream channel partners while sustaining relationships. However, the contemporary supply chain literature has not sufficiently leveraged the resource and relational paradigms to examine influence. Grounded on resource dependency theory and commitment-trust theory paradigms, this study describes conceptualization and operationalization of a 12-item scale for measuring non-coercive influence on upstream channel partners in retail supply chain management (R-SCM) context. The study is based on responses from 547 retail professionals in India obtained over four successive surveys. Psychometric properties were assessed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The proposed scale demonstrates construct validity. Invariance-testing carried out over 4-levels of increasingly demanding equivalence confirmed cross-validation. Nomological validity of the scale was tested by evaluating association with suppliers’ intention to cooperate. The results indicate existence of three dimensions of non-coercive influence: collaborative intent, market intelligence dissemination, and operational support. Retailers can use the scale to assess their personnel's non-coercive influence behavior over suppliers.     

Heterogeneity in Food Demand among Rural Indian Households: The Role of Demographics

Food expenditures, influenced by social, demographic, and economic factors, constitute a significant proportion of the typical rural Indian's household income. Based on cross‐sectional household data, this study employs the Quadratic Almost Ideal Demand System to estimate food demand among rural Indian households. Special attention is given to the rural household's two‐stage budgeting in total food expenditure and then to a demand for a specific food item. Conditional and unconditional expenditure and price elasticities for seven food groups are estimated. Results indicate that own‐price elasticities for each group are negative ranging from fairly inelastic to elastic range. Expenditure elasticities indicate that food items are a normal necessity to luxury goods. Additionally, socio‐demographic factors play a significant role in food consumption patterns. Based on our unconditional expenditure elasticities, we also project food demand from rural Indian households for next two decades. Les dépenses alimentaires, qui sont influencées par des facteurs socioéconomiques et démographiques, absorbent une partie considérable du revenu des ménages ruraux typiques en Inde. Dans la présente étude, nous avons utilisé le modèle de demande quasi idéal quadratique pour estimer, à l'aide de données transversales sur les ménages, la demande alimentaire des ménages ruraux en Inde. Nous avons accordé une attention spéciale à la budgétisation en deux étapes des dépenses alimentaires totales et à la demande d'un produit alimentaire particulier du ménage rural. Nous avons estimé les dépenses conditionnelles et inconditionnelles et l’élasticité‐prix de sept groupes alimentaires. Les résultats de notre étude indiquent que l’élasticité‐prix de chaque groupe est négative et qu'elle varie de plutôt inélastique à divers degrés d’élasticité. L’élasticité des dépenses indique que les produits alimentaires varient de nécessités de base à produits de luxe. Les facteurs sociodémographiques jouent également un rôle important dans les habitudes de consommation alimentaire. D'après les élasticités des dépenses établies dans notre étude, nous avons estimé la demande alimentaire des ménages ruraux en Inde pour les deux prochaines décennies.