Estimating a restricted normal mean

Let X ₁, X ₂, ..., X _n be a random sample from a normal distribution with unknown mean μ and known variance σ ². In many practical situations, μ is known a priori to be restricted to a bounded interval, say [−m, m] for some m > 0. The sample mean , then, becomes an inadmissible estimator for μ. It is also not minimax with respect to the squared error loss function. Minimax and other estimators for this problem have been studied by Casella and Strawderman (Ann Stat 9:870–878, 1981), Bickel (Ann Stat 9:1301–1309, 1981) and Gatsonis et al. (Stat Prob Lett 6:21–30, 1987) etc. In this paper, we obtain some new estimators for μ. The case when the variance σ ² is unknown is also studied and various estimators for μ are proposed. Risk performance of all estimators is numerically compared for both the cases when σ ² may be known and unknown.     

Assessing Project Risk

Finding the appropriate discount rate, or cost of capital, for evaluating investment projects requires an accurate estimate of project risk. This can be challenging because project risk cannot be estimated directly using the CAPM, but must instead be inferred from a set of traded securities, typically the equity betas of comparable firms in the same industry. These equity betas are then unlevered to undo the effect of comparable companies' financial leverage and obtain estimates of “asset” betas, which are then used to estimate project risk. The authors show that asset betas estimated in this way are likely to overestimate project risk. The equity returns of companies are risky not only because of their existing projects but also because of their growth opportunities. Such growth opportunities often include embedded “real options,” such as the option to delay, expand, or abandon a project. Because such real options are similar to leveraged positions in the underlying project, a company's growth opportunities are typically riskier than its existing projects. Therefore, to properly assess project risk, analysts must also unlever the asset betas derived from comparable company stock returns for the leverage contributed by their growth options. The authors derive a simple method for unlevering asset betas for growth options leverage in order to properly assess project risk. They then show that standard methods for assessing project risk significantly overestimate project costs of capital—by as much as 2–3% in industries such as healthcare, pharmaceuticals, communications, medical equipment, and entertainment. Their method should also be applied to stock return volatility to derive project volatility, an important input for determining the value of a firm's growth opportunities and the appropriate time for investing in these opportunities.     

Institutional versus non-institutional credit to agricultural households in India: Evidence on impact from a national farmers’ survey

A goal of agricultural policy in India has been to reduce farmers’ dependence on informal credit. To that end, recent initiatives are focused explicitly on rural areas and have a positive impact on the flow of agricultural credit. Despite the significance of the above initiatives in enhancing the flow of institutional credit to agriculture, the links between institutional credit and net farm income and consumption expenditures in India are not very well documented. Using large, national farm household level data and IV 2SLS estimation methods, we investigate the role of institutional farm credit on farm income and farm household consumption expenditures. Findings show that, in India, formal credit does indeed play a critical role in increasing both net farm income and per capita monthly household expenditures of Indian farm families. Finally, we find that, in the presence of formal credit, social safety net programs like the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) may have unintended consequences. In particular, MGNREGA reduces both net farm income and per capita monthly household consumption expenditures. On the other hand, in the presence of formal credit, the Public Distribution System may increase both net farm income and per capita monthly household consumption expenditures.     

Spread determinants and the day-of-the-week effect

In this paper, we examine the determinants of the dollar bid–ask spread for each day of the week over the period 1998–2008. Using a panel cointegration approach, we estimate the determinants of the spread in both the short-run and long-run. Our main findings suggest that: (1) there are day-of-the-week effects for certain groups of firms; (2) the panel error correction model also reveals day-of-the-week effects, and the speed of adjustment to equilibrium following a shock is faster on Fridays; and (3) the effects of volume and volatility on the spread are mixed, with only some sectors experiencing the day-of-the-week effect.     

How Do Strengths and Weaknesses in Corporate Social Performance Across Different Stakeholder Domains Affect Company Performance?

The existing research on corporate social responsibility (CSR) has largely focused on the positive aspect of corporate social performance (CSP) and company performance (CP) and ignored the relationship between actions that would qualify as negative CSP (or weakness in CSP) towards a stakeholder group and company performance. Using data from the KLD collected over a three‐year period, this study examines the relationship between both CSP weaknesses and strengths and CP across individual stakeholder domains. Results of the study suggest that strengths in CSP related to primary stakeholder domains are associated with superior company performance. However, this relationship is tenuous, at best, in the case of the secondary stakeholder domain. As for weaknesses in CSP, the results suggest that if a firm performs poorly in meeting the expectations of one or more stakeholders it is penalized in the form of poor performance. This finding generally holds true for both primary and secondary stakeholders. Implications of these findings for public policy and businesses planning to address social issues are discussed. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment     

Estimating exchange rate responsiveness to shocks

The goal of this paper is to examine the importance of permanent and transitory shocks using a more efficient trend-cycle decomposition of the real exchange rate series. Our main contribution is that in measuring the impact of shocks, we not only impose common trend restrictions but also common cycle restrictions. We later confirm, through a post sample forecasting exercise, the efficiency gains from imposing common cycle restrictions. Our results indicate that permanent shocks are responsible for the bulk of the real exchange rate variations for Japan, Italy, Germany, France, and the UK vis-à-vis the US dollar over short horizons. For Canada, however, transitory shocks are dominant over the short horizon. In sum, while for Japan, France, and Italy, around 15% of the variation in real exchange rate is due to transitory shocks, for Canada, Germany and the UK, over 25% of the variations over the short horizon are due to transitory shocks. Thus, we claim that the role of transitory shocks should not be ignored.     

PRICE DISPERSION,INFLATION, AND WELFARE*

We examine the implications of inflation for both price dispersion and welfare in a monetary search economy. In our economy, if the degree of buyers' incomplete information about prices is fixed, both price dispersion and real prices are increasing in inflation. As the inflation rate approaches the Friedman rule, both price dispersion and welfare losses vanish. If households choose the number of prices to observe, then the optimal inflation rate may exceed the Friedman rule as inflation induces search and, up to a point, raises welfare by eroding market power.     

The calling of a creative transdisciplinarity

A relational approach to the problem of interdisciplinary studies is presented and arguments made for rethinking our disciplinary identity from our experiential and aspirational vantage point of transdiciplinary participation. But transdisciplinary participation requires overcoming our disciplinary chauvinism and an openness to the perspectives of other disciplines. In transdisciplinary participation, the other perspective, the other disciplines, need recognition and invitation into the hard core of the disciplinary self and for this the method and weltanschauung of the conventional interdisciplinary research is not enough. Interdisciplinary research now calls for a transdiciplinary interrogation, opening and enrichment which transforms the pious hopes and waiting for interdisciplinarity into a calling of transdiciplinary striving.