Targeting and salesforce compensation: When sales spill over to unprofitable customers

Quantitative Marketing and Economics - Targeting selling efforts towards profitable customers is widely known to increase sales and allow firms to charge higher prices. In this paper, we show that...     

Impact of Food Brand Controversy on Consumers’ Attitude Toward Brand and Company

It is critical to understand the impact of controversy on the consumer. There is a scarcity of research measuring post-controversy consumer attitude on both product and corporate brand during a controversy. The study is based on a recent brand controversy linked with instant noodle brand “Maggi” in India. The study examines impact on brand perceived quality, credibility, trust and loyalty, and attitude about brand and company. Data have been collected during July–October 2015 when the brand Maggi was banned in India due to quality-related controversy. Results indicate that respondents, with higher post-controversy brand loyalty, hold positive attitudes about brand. The interaction effect reveals that the relationship is significant and positive. During controversy, consumers’ attitude about brand and company is not identical. For a strong brand, consumers may have positive attitude but they become quite negative about company.     

Capital flows to Asia and Latin America: Does institutional quality matter?

Using a sample of 28 emerging market economies from Asia and Latin America spanning 1990–2013, we show that the marginal effect of capital flows on growth is positive and contingent on the threshold level of institutional quality (IQ). The conditional effect of capital flows holds for both the income per capita growth and total factor productivity (TFP) growth. We also determine the different threshold levels of IQ at which the marginal effect of capital flows is positive. The overall level of IQ in the Asian countries is superior to the Latin American countries and requires a lower threshold level to exert any positive effect. While the same conditional effect of IQ holds in Latin America for TFP growth, this effect is reversed in Asia. For very high levels of IQ (91st percentile), the marginal effect of capital flows on TFP growth in Asia is almost negligible. The marginal effects also vary based on the composition of capital flows in each region.     

Informed momentum trading versus uninformed “naive” investors strategies

We construct a zero net-worth uninformed “naive investor” who uses a random portfolio allocation strategy. We then compare the returns of the momentum strategist to the return distribution of naive investors. For this purpose we reward momentum profits relative to the return percentiles of the naive investors with scores that are symmetric around the median. The score function thus constructed is invariant and robust to risk factor models. We find that the average scores of the momentum strategies are close to zero (the score of the median) and statistically insignificant over the sample period between 1926 and 2005, various sub-sample periods including the periods examined in [Jegadeesh and Titman, 1993] and [Jegadeesh and Titman, 2001]. The findings are robust with respect to sampling or period-specific effects, tightened score intervals, and the imposition of maximum-weight restrictions on the naive strategies to mitigate market friction considerations.     

The precautionary principle and EMF: implementation and evaluation

The precautionary principle, a recommendation to consider action to avoid a possible harm even if it is not certain to occur, is variously defined and interpreted. We present a range of definitions with an emphasis on their requirements for strength of evidence of harm and for actions to be taken. We describe the variety of approaches that have been adopted in developing policy to address the issue of possible health effects of electric and magnetic fields (EMF) in the face of scientific uncertainty. Further, we discuss specific aspects of scientific uncertainty regarding EMF health risks particularly relevant to the development of precautionary principle policy. We define and discuss prudent avoidance and other unique features of applications of the precautionary principle to EMF. We conclude with examples from EMF policy decisions of risk tradeoffs that need to be considered in developing any precautionary principle policy, and provide recommendations for better ways to define and implement the precautionary principle.     

How Efficiently is Capital Allocated? Evidence from the Knitted Garment Industry in Tirupur

This paper studies the effect of community identity on investment behaviour in the knitted garment industry in the South Indian town of Tirupur. We document very large and systematic differences in both levels of capital stock and the capital intensity of production in firms owned by people from two different community groups. We argue that the differences in investment cannot be explained by productivity differences alone. We suggest that the most likely explanation is that the two communities differ in their access to capital.     

Two Cheers and a Qualm for Behavioral Environmental Economics

Behavioral economics can gain more in-roads into environmental economics if we better understand why exchange institutions fail, more effectively reduce health risks and environmental conflicts, encourage more coordination and cooperation, design better incentive systems, more accurately estimate economic measures of value, and promote more protection at less cost. Behavioral economics deserves two cheers for advancing ideas of context-dependence and social preferences, which we illustrate with two examples of recent research.     

Semiparametric binary regression models under shape constraints with an application to Indian schooling data

We consider estimation of the regression function in a semiparametric binary regression model defined through an appropriate link function (with emphasis on the logistic link) using likelihood-ratio based inversion. The dichotomous response variable Δ$\Delta$ is influenced by a set of covariates that can be partitioned as (X,Z)$(X,Z)$ where Z$Z$ (real valued) is the covariate of primary interest and X$X$ (vector valued) denotes a set of control variables. For any fixed X$X$, the conditional probability of the event of interest (Δ=1$\Delta =1$) is assumed to be a non-decreasing function of Z$Z$. The effect of the control variables is captured by a regression parameter β$\beta$. We show that the baseline conditional probability function (corresponding to X=0$X=0$) can be estimated by isotonic regression procedures and develop a likelihood ratio based method for constructing asymptotic confidence intervals for the conditional probability function (the regression function) that avoids the need to estimate nuisance parameters. Interestingly enough, the calibration of the likelihood ratio based confidence sets for the regression function no longer involves the usual χ²${\chi }^2$ quantiles, but those of the distribution of a new random variable that can be characterized as a functional of convex minorants of Brownian motion with quadratic drift. Confidence sets for the regression parameter β$\beta$ can however be constructed using asymptotically χ²${\chi }^2$ likelihood ratio statistics. The finite sample performance of the methods are assessed via a simulation study. The techniques of the paper are applied to data sets on primary school attendance among children belonging to different socio-economic groups in rural India.     

An integrated production-distribution model for a deteriorating inventory item

We develop an integrated production-distribution model for a deteriorating item in a two-echelon supply chain. The supplier’s production batch size is restricted to an integer multiple of the discrete delivery lot quantity to the buyer. Exact cost functions for the supplier, the buyer and the entire supply chain are developed. These lead to the determination of individual optimal policies, as well as the optimal policy for the overall, integrated supply chain. We outline a procedure for determining the optimal supply chain decisions with the objective of minimizing the total system cost. Our approach is illustrated through a numerical example.