Will African Agriculture Survive Climate Change?

Measurement of the likely magnitude of the economic impact ofclimate change on African agriculture has been a challenge.Using data from a survey of more than 9,000 farmers across 11African countries, a cross-sectional approach estimates howfarm net revenues are affected by climate change compared withcurrent mean temperature. Revenues fall with warming for drylandcrops (temperature elasticity of –1.9) and livestock (–5.4),whereas revenues rise for irrigated crops (elasticity of 0.5),which are located in relatively cool parts of Africa and arebuffered by irrigation from the effects of warming. At first,warming has little net aggregate effect as the gains for irrigatedcrops offset the losses for dryland crops and livestock. Warming,however, will likely reduce dryland farm income immedia-tely.The final effects will also depend on changes in precipitation,because revenues from all farm types increase with precipitation.Because irrigated farms are less sensitive to climate, wherewater is available, irrigation is a practical adaptation toclimate change in Africa.     

The information content of implied volatilities and model-free volatility expectations: Evidence from options written on individual stocks

We measure the volatility information content of stock options for individual firms using option prices for 149 US firms and the S&P 100 index. We use ARCH and regression models to compare volatility forecasts defined by historical stock returns, at-the-money implied volatilities and model-free volatility expectations for every firm. For 1-day-ahead estimation, a historical ARCH model outperforms both of the volatility estimates extracted from option prices for 36% of the firms, but the option forecasts are nearly always more informative for those firms that have the more actively traded options. When the prediction horizon extends until the expiry date of the options, the option forecasts are more informative than the historical volatility for 85% of the firms. However, at-the-money implied volatilities generally outperform the model-free volatility expectations.     

Visual representation of knowledge networks: A social network analysis of hospitality research domain

Intellectual relationships and collaboration networks are the basis for the development of a knowledge domain. The visual representation of such “knowledge networks” contributes to the overall understanding of intellectual collaborations in a particular knowledge domain. Based on the co-authorship data from recent journal publications over a period of five years, the authors applied social network analysis to explore the network structures and identify their network properties in the hospitality research domain. The analysis revealed the core and peripheral networks where the power law distribution was observed on the pattern of publishing academic papers. The overall network was further examined by nine research streams in both “global” and “contextual” views to understand a broad variety of the collaboration patterns of hospitality researchers.     

Hispanic-Americans,Mobile Advertising and Mobile Services

The literature on marketing to Hispanics and the use of mobile-based marketing methods continues to grow. However, to our knowledge, no research has been published on Hispanic use and acceptance of mobile marketing channels; this research addresses that gap. The study investigates various aspects of mobile channel services including advertising among Hispanic-Americans and non-Hispanic-Americans. The results indicate significant differences between Hispanic-Americans and others in the usage of mobile services, satisfaction with mobile services, and attitudes toward mobile advertising, as well as within Hispanic-Americans based on their strength of ethnic identification. The managerial and theoretical implications are discussed.     

Non-market economic valuation in developing countries: Role of participant observation method in CVM analysis

Developing countries have high proportion of black money and related corruption in the society in comparison to the developed ones. This aspect has to be kept in mind while conducting contingent valuation method (CVM) questionnaire survey (in-person) at the site whose economic valuation is being done. Participant observation method (POM) and unstructured interview schedule (UIS) are the two means, which must be used in addition to structured interview schedule during CVM studies in developing countries to arrive at a reasonable non-market economic valuation figure of an environmental amenity. It has been observed that researchers generally ignore this fact during survey for primary data collection among respondents who are quite well off, educated and belong to countries of huge parallel economy. However in the present study, we have utilized these two means during primary data collection for a CVM study and reached the conclusion that CVM has to be used with caution even among educated masses in the developing countries.     

A new multivariate count data model to study multi-category physician prescription behavior

Multivariate count models represent a natural way of accommodating data from multiple product categories when the dependent variable in each category is represented by a positive integer. In this paper, we propose a new simultaneous equation multi-category count data model–the Poisson-lognormal simultaneous equation model–that allows for the Poisson parameter in one equation to be a function of the Poisson parameters in other equations. While generally applicable to any situation where simultaneity is an issue and the dependent variables are measured as counts, such a specification is particularly useful for our empirical application where physicians prescribe drugs in multiple categories. Accounting for the endogeneity of detailing in such situations requires us to explicitly allow for pharmaceutical firms’ detailing activities in one category to be influenced by their activities in other categories. Estimation of such a system of equations using traditional maximum likelihood method is cumbersome, so we propose a simple solution based on using Markov Chain Monte Carlo methods. Our simulation study demonstrates the validity of the solution algorithm and the biases that would result if such simultaneity is ignored in the estimation process.     

Macroeconomic policy and output comovement: The formal and informal sectors in India

Is the informal sector different from the formal sector? We present an aggregative analysis of the formal and informal sectors in India to investigate the extent to which the two can be viewed as broadly homogeneous. Using a macroeconometric framework, the paper analyzes over past three decades the behavior of the two sectors with respect to each other and several government-related policy variables. It is found that the formal and informal sectors display markedly different attributes in terms of their relationship to policy variables. Furthermore, the informal sector appears to be decoupled from the rest of the economy.     

TAX-PRICE REFORM WITH DIRECTLY UNPRODUCTIVE PROFIT-SEEKING (DUP) ACTIVITIES*

This paper explores the extent to which insights available from existing writings on directly unproductive profit-seeking (DUP) activities in international trade modify rules of tax and tariff reform in normative public economics and examines in what way these should affect advice on tax policy usually given to developing countries. The analysis proceeds by developing two models. The first incorporates revenue seeking directly into a standard open economy public finance model and examines whether analysis of policy reform and economic costs of distortionary tariffs must be modified. The second includes a political component in the form of lobbying for subsidies – the expenditure side of the budget – as well as a normative economic component that raises taxes – the revenue side – to finance the social costs of such lobbying. The model can be used to determine the effects of politically determined expenditures on tax setting. The analysis shows that the grammar of welfare-theoretic arguments that underlies the reform and design of tax and tariff structures is robust to the inclusion of DUP activities of the type considered here. In particular, the latter lend no presumption in favor of uniformity in tax and tariff structures. It is argued that existing policy advice on tax and tariff reform derived from models where DUP activities have traditionally played no role continues to be appropriate when account is taken of formal treatments of DUP-type phenomena extant in the current literature.     

Empirical Analysis of a Dynamic Duopoly Model of Competition

Empirically validating and testing the specification of game theoretic models has received limited attention in the marketing literature. The authors provide an econometric framework for estimating the parameters of response functions when the observed data in the market place are the Nash equilibrium outcomes of an underlying dynamic duopoly game specification. Specifically, the estimation procedure accounts for the joint endogeneity of market shares and marketing efforts of market rivals using a system of simultaneous equations that included the market response function and the Nash equilibrium conditions. A formal statistical test is used to detect model misspecification. The empirical analysis is carried out using data from four product markets: pharmaceutical, soft drink, beer, and detergent. Comparisons are provided with conventional estimation of the response function parameters in which the equilibrium conditions are ignored in the estimation. Managerial implications of the empirical results are discussed.