Empirical Bayes analysis of log-linear models for a generalized finite stationary Markov chain

This article presents the empirical Bayes method for estimation of the transition probabilities of a generalized finite stationary Markov chain whose ith state is a multi-way contingency table. We use a log-linear model to describe the relationship between factors in each state. The prior knowledge about the main effects and interactions will be described by a conjugate prior. Following the Bayesian paradigm, the Bayes and empirical Bayes estimators relative to various loss functions are obtained. These procedures are illustrated by a real example. Finally, asymptotic normality of the empirical Bayes estimators are established.     

Dynamic and Comparative Static Analysis of Imperfectly Competitive International Fishery

A dynamic system for change of fish stock is formulated assuming that two asymmetric rival countries harvest fish from a common fishing ground and sell it in an imperfectly competitive market. The existence of a unique stable steady state is examined based on the dynamic system. Comparative static analysis is conducted in relation to changes in national fishing management policies to explore, among other things, rent-shifting from one country to another.     

The impact of advertising content on movie revenues

We analyze the contents of print ads in the motion picture industry (e.g., number of reviews quoted in the ad, the presence of a top reviewer, size of the ad, star, director, etc.). We find that external validation (a recommendation by a top reviewer) is more important to revenues than the informative content of the ad.     

Disaggregating the Demand for Pesticides: Does it Matter?

This paper analyzes the demand of French farmers for pesticides by disaggregating among the three main categories of pesticides. We estimate the demand elasticities of herbicides, insecticides, and fungicides with respect to pesticide expenditure, and also consider crop differentiation. We retain a Linear Approximated Almost Ideal Demand System specification. A Full‐Information Maximum Likelihood estimation procedure is used to deal with corner solution problems and censored data. The estimation is based on two cross‐sections covering pesticide use of three major crops cultivated in France in 2001 and 2006. Our results show that farmers' response to price variation is very low, especially for 2001. Furthermore, elasticities of pesticide expenditure are significantly different across categories: the highest levels are obtained for fungicides and the lowest ones for insecticides. Finally, we find higher own‐price elasticities for herbicides and fungicides than for insecticides, which are less frequently used.     

Regulation of relationships between heterogeneous farmers and an aquifer accounting for lag effects

Many environmental problems are due to damage caused by pollutants that accumulate with a time lag following their emission. In this study, we focus on nitrates used in agriculture, which can pollute groundwater many years after their initial application. A dynamic optimal control problem with heterogeneous farmers is proposed. The usual structural parameters such as the discount rate, the natural clearing rate and the lagged time interval between the occurrence of soil‐level pollution and the impact on groundwater are taken into account. We also examine pollution as caused by a continuous set of farms characterised by their individual performance index and by their individual marginal contribution to the pollution. The issue is further investigated by taking account of change in the information context, successively related to perfect information and to asymmetric information. As a result, when the delay between the spreading of N‐fertilizer and the impact on the aquifer increases, that is, the longer the lag, the steady‐state pollution stock and the steady‐state shadow price of the stock both increase. Moreover, we show that the optimal regulation may require a decreasing amount of fertilizer over time, even in the case of initial underpollution.     

Segmenting the Belgian charitable sector: The impact of environmental factors on households' generosity

Research on charitable giving has known a renewed interest over the last years. Despite a recent evolution, the literature remains predominantly Anglo‐Saxon, and studies are consequently conducted in societies marked by a strong charitable giving culture. In that respect, donors are generally considered as isolated individuals, and the impact of social and environmental factors such as public policies, institutional specificities, and punctual events is often underestimated. Moreover, research on generosity often suffers from the absence of reliable data, free of desirability bias. Based on fiscal data of tax returns and gift tax returns provided by the official Belgian statistics bureau, this research investigates individual donating behaviors while considering the influence of environmental determinants on generosity. More specifically, we empirically assess the generosity of Belgian households over a period of 8 years marked by natural disasters, massive calls for public generosity, and changes in tax policies. Among other things, we qualify the results of previous research on the role of age and open the debate on the role of household composition as a variable for segmenting donors. Finally, we propose leads for future research in order to stimulate further academic effort on the topic.     

Approximate maximum likelihood estimation for stochastic differential equations with random effects in the drift and the diffusion

Consider N independent stochastic processes \((X_i(t), t\in [0,T])\), \(i=1,\ldots , N\), defined by a stochastic differential equation with random effects where the drift term depends linearly on a random vector \(\Phi _i\) and the diffusion coefficient depends on another linear random effect \(\Psi _i\). For these effects, we consider a joint parametric distribution. We propose and study two approximate likelihoods for estimating the parameters of this joint distribution based on discrete observations of the processes on a fixed time interval. Consistent and \(\sqrt{N}\)-asymptotically Gaussian estimators are obtained when both the number of individuals and the number of observations per individual tend to infinity. The estimation methods are investigated on simulated data and show good performances.     

Digitale Spaltung im Zeitalter der S?ttigung

Using Bourdieu??s Habitus-Capital theory and a representative dataset this study shows that social position influences internet use. The study is thus connected to the research about thedigital divide. A secondary analysis of the ACTA 2008 (n?=?7.623, representative of Germans between 14 and 64 years who use the internet) shows on the one hand that there are still gaps in internet usage (gender, generation, and education gap). On the other hand the results indicate acapital gap. Since the accumulation of capital in the internet is connected with education as well as economic status, there is a threat of a downward spiral: Those who have less capital (education, money) gather less internet knowledge. Since cultural capital influences a person??s social position, internet use enhances social inequality.     

Unobserved firm heterogeneity and the size-exports nexus: Evidence from German panel data

This paper starts from the stylized fact that firm size and exporting tends to be positively related. Using large sets of establishment panel data for three different industries from official statistics, evidence is presented that the familiar picture of an export/sales ratio that increases (at a decreasing rate) with firm size vanishes if unobserved firm heterogeneity is controlled for in a fixed-effects fractional logit regression model. This finding is well in line with the fact that many small firms are “hidden export champions.” JEL no. F10, D21, L60     

Voluntary firm restructuring: why do firms sell or liquidate their subsidiaries?

This paper examines why companies decide to divest a subsidiary in a corporate environment characterised by concentrated ownership, using a unique dataset of non-listed Belgian subsidiaries. The results of the binomial logit analyses are consistent with the idea that management will intervene in order to improve the controlling firm’s focus or when subsidiary performance imposes a burden on the group’s financial situation. Especially when blockholders hold more than 75% of the shares, these motives drive the divestiture decision. At lower levels of ownership concentration, these hypotheses cannot explain the higher divestiture likelihood, which supports the agency hypothesis. Once the divestment decision has been taken, the choice has to be made between a sale and liquidation. The logit analysis reveals that although selling a subsidiary seems the preferred option, liquidation is likely when the subsidiary is small, active in a sector with few competitors and when financial distress is eminent.