Compensated optimal response under uncertainty in agricultural household models

This study derives the qualitative properties of a household's optimal consumption, family labour, hired labour and non-labour input choices under price and/or output risk through a Slutsky-type compensation without imposing any restriction on risk preference structure or production technology. These compensated responses provide the underpinning for welfare analysis in agricultural household models under risk. The framework for the evaluation of welfare effects of product and factor price interventions in a setting of output and price risk is developed. The paper also outlines an empirical model for estimation of the compensated demand and supply responses and for validation of the paper's analytical results.     

Choice Research: A Wealth of Perspectives

This article is a navigation guide to the twenty papers that emerged from the workshops conducted at the Sixth Invitational Choice Symposium (Estes Park, Colorado, June 2004). The papers are categorized into three broad sets that focus respectively on choice modeling issues, on providing interdisciplinary perspectives on choice, and on relating choice research to real world concerns. Within each category, we offer provide brief integrative overviews linking subsets of papers.     

Prediction of the Indian summer monsoon using a stacked autoencoder and ensemble regression model

The study of climatic variables that govern the Indian summer monsoon has been widely explored. In this work, we use a non-linear deep learning-based feature reduction scheme for the discovery of skilful predictors for monsoon rainfall with climatic variables from various regions of the globe. We use a stacked autoencoder network along with two advanced machine learning techniques to forecast the Indian summer monsoon. We show that the predictors such as the sea surface temperature and zonal wind can predict the Indian summer monsoon one month ahead, whereas the sea level pressure can predict ten months before the season. Further, we also show that the predictors derived from a combination of climatic variables can outperform the predictors derived from an individual variable. The stacked autoencoder model with combined predictors of sea surface temperature and sea level pressure can predict the monsoon (June-September) two months ahead with a 2.8% error. The accuracy of the identified predictors is found to be superior to the state-of-the-art predictions of the Indian monsoon.     

Agricultural Commodity Price Shocks and Their Effect on Growth in Sub‐Saharan Africa

Commodity price shocks are an important type of external shock and are often cited as a problem for economic growth in Sub‐Saharan Africa. We choose nine Sub‐Saharan African countries that are heavily dependent on a single agricultural commodity for a significant portion of their income. This paper quantifies the impact of agricultural commodity price shocks using a structural non‐linear dynamic model. The novel aspect of this study is that we determine whether the response of per capita GDP for the selected Sub‐Saharan African countries is different to unexpected increases in agricultural commodity prices as opposed to decreases in prices. We conclude that there is very little evidence that an unanticipated price increase (decrease) will lead to a significantly different response in per capita incomes.     

Corruption and Tourism: An Empirical Investigation in a Non‐linear Framework

This article investigates the effect of corruption on tourism demand for a panel of countries during 1999–2009 by using panel least square and fixed effects regressions. Prior research has considered only the linear effects of corruption on tourism. We examine the relationship between corruption and tourism in a non‐linear framework after controlling for economic and heritage factors. The findings suggest that corruption has a significant effect on tourism demand and that this effect is non‐linear. Copyright © 2014 John Wiley & Sons, Ltd.     

Smooth transition effects in price transmission: The case of international wheat export prices

International wheat prices are tested for cointegration allowing for exponential smooth transition adjustment. The results suggest that owing to transactions costs, it is plausible that arbitrage will be greater, the further the prices deviate from each other.     

A Tale of Two Anomalies: Higher Returns of Low‐Risk Stocks and Return Seasonality

Prior studies have shown that low beta and low volatility stocks earn higher average returns than high beta and high volatility stocks, contradicting the prediction of the capital asset pricing model and the fundamental relationship between risk and return. In this paper, we demonstrate that this phenomenon is driven by the seasonality of stock returns. We show that the risk‐return tradeoff does hold in the nonsummer months, and that switching to a portfolio of low‐risk stocks in summer outperforms—both in terms of absolute and in risk‐adjusted returns—buy and hold strategies as well as the Sell in May strategy of switching to treasury bills in summer.     

Impact of Genetically Engineered Varieties on the Cost Structure of Corn and Soybean Production in Canada

This paper investigates the impact of genetically engineered (GE) varieties on the cost structure of corn and soybean production in Canada. Employing an adoption index for each farm and a time trend with farm‐level data on production costs of grain corn and soybeans from 2000 to 2007, a translog cost function and the associated input‐share equations are estimated. The use of the adoption index improves the estimates of technological change and multifactor productivity (MFP) growth. The results demonstrate that the adoption of GE corn and soybean reduced the variable costs of production by 0.62% per year. The MFP of corn and soybean grew by 2.0% per year during the study period, and 31% of this growth is attributable to GE varieties of these crops. The results also reveal that the adoption of GE varieties reduced the cost shares of fertilizer, herbicides and pesticides, and machinery in corn and soybean production. While the adoption of GE varieties increased the cost shares of seeds and custom works including labor, only the former was statistically significant.     

Trade Policy in the Presence of Technology Licensing*

We consider strategic trade policy when a high‐cost and a low‐cost firm belonging to two different countries compete in quantities in a third country, and technology is transferable via licensing. We characterize the effects of subsidies on (i) licensing payments—a new source of rents, (ii) the decision to license, and (iii) the subsidy bill difference (compared to when licensing is infeasible). We find that, in the presence of licensing, optimal strategic trade policy has several interesting features. For example, even under Cournot competition, optimal policy can be an export tax instead of an export subsidy. Also, unlike results in strategic trade policy with asymmetric costs, we find that optimal export subsidies are not necessarily positively related to the cost‐competitiveness of firms. In other words, governments need not necessarily favor “winners” when licensing is possible. Furthermore, there exist parameterizations such that a government, if it can, might ban licensing.     

Financial development and top income shares in OECD countries

We examine the causal impact of financial development (FD) on top income shares for a panel of 14 OECD countries—five Anglo‐Saxon countries, eight continental European countries, and Japan—over a 110‐year period. In our main General Method of Moments estimates, we find that a 1‐percentage‐point change in FD increases the top 1% income share by 0.2%. In distribution terms, a 1‐SD incr=ease in FD increases the top 1% income share by around 0.4 of an SD. The effects are robust to various measures of top income shares and FD and alternative estimation techniques, including nonparametric estimation. FD is typically viewed in positive terms in that it makes it easier to access credit and facilitates economic growth. Our results are important because they contribute to understanding of the potential negative effects of FD.