Sex,education, and unionism: demographic determinants of attitude toward japanese direct investment

This article reports the findings of a major survey of Ohio residents’ attitudes toward Japanese foreign direct investment in the United States. Attitudinal data were collected from 448 respondents with respect to their perceptions of Japanese investment in the United States and its effects. Crosstabulation of the data reveal the existence of significant attitudinal differences. Specifically, sex, educational level, and union membership are found to be significantly related to attitudes regarding Japanese foreign direct investment Women, individuals with lower levels of education, and union members hold more negative attitudes toward several aspects of Japanese foreign direct investment than the state's population as a whole.     

On the stability of the constant relative risk aversion (CRRA) utility under high degrees of uncertainty

Growth models under uncertainty and constant relative risk aversion (CRRA) utility are fragile in explaining consumers’ choice, as equilibrium consumption is dependent on distributional assumptions. We show that, under semi-nonparametric distributions, general equilibrium models are stable, as the existence of expected utility is guaranteed.     

Agrobiodiversity,farm profits and land fragmentation: Evidence from Bulgaria

This paper presents an empirical analysis of the role of land fragmentation, crop biodiversity and their interplay with farm profitability. Original primary data are drawn from a survey conducted in the Plodiv region of Bulgaria. The econometric results stress the ambiguous role of land fragmentation on farm profitability. On one hand, land fragmentation reduces farm profitability. On the other hand, land fragmentation fosters crop diversification. We also find that crop biodiversity plays a beneficial role in farm profitability. Policies that aim to increase land consolidation and reduce fragmentation may overlook the positive link between diversity and plot heterogeneity. Policies that encourage land consolidation should, therefore, consider the crucial role that this has on other variables such as farm biodiversity.     

Accept–reject Metropolis–Hastings sampling and marginal likelihood estimation

We describe a method for estimating the marginal likelihood, based on Chib (1995) and C hib and Jeliazkov (2001) , when simulation from the posterior distribution of the model parameters is by the accept–reject Metropolis–Hastings (ARMH) algorithm. The method is developed for one-block and multiple-block ARMH algorithms and does not require the (typically) unknown normalizing constant of the proposal density. The problem of calculating the numerical standard error of the estimates is also considered and a procedure based on batch means is developed. Two examples, dealing with a multinomial logit model and a Gaussian regression model with non-conjugate priors, are provided to illustrate the efficiency and applicability of the method.     

The determinants of Italian domestic tourism: A panel data analysis

In this study, a GMM panel data estimation is used to investigate the main determinants of Italian domestic tourism demand as measured by regional bilateral tourism flows. The analysis is developed both at aggregate level and for the two traditional macro-areas of the country, namely Centre-North and South. For the whole nation, the importance of traditional economic variables in determining domestic tourism flows is confirmed. However tourist actual choices appear also to be influenced by past experiences and by regional differences in the quality of the wider environment. Additionally it appears that, for Italian tourists, domestic and international destinations behave as substitutable goods. The sub-sample analysis highlights some interesting differences between macro-areas. In particular, southern tourists appear more responsive to income variations, and less sensitive to prices differentials than their northern counterparts. Moreover, the degree of competition between domestic and outbound trips is higher in the South. Finally, southern tourists seem to be more influenced by environmental attributes while northern tourists are more sensitive to cultural activities.     

Board meetings,committee structure,and firm value

In this study, we examine the determinants of board monitoring activity and its impact on firm value for a broad panel of firms over a six-year period from 1999 to 2005. During this period, Congress and the exchanges promulgated regulations that increased pressure upon firms for more independent and active boards. Economists have debated whether board activity and externally imposed regulations benefit or harm firms. We develop and examine several proxies for board monitoring and examine the relationship between board monitoring activity, firm characteristics, and firm value in a structural equation framework. One set of our proxies is based on the number of annual board and Audit Committee meetings. We show that prior performance, firm characteristics and governance characteristics are important determinants of board activity. We also show that the board monitoring is driven by corporate events, such as an acquisition or a restatement of financial statements. We find that board activity has a positive impact on firm value. Our results also indicate that the external pressure has had a salutary effect and recent regulations have led to some increase in firm value. A second set of proxies is based on the shift to a fully independent Audit, Compensation and Nominating Committees. We find that firms increased the independence of these Board committees following the enactment of the 2002 Sarbanes-Oxley Act.     

Risk premia and seasonality in commodity futures

We develop and estimate a multifactor affine model of commodity futures that allows for stochastic seasonality. We document the existence of stochastic seasonal fluctuations in commodity futures and that properly accounting for the cost‐of‐carry curve requires at least three factors. We estimate the model using data on heating oil futures and analyze the contribution of the factors to risk premia. Correctly specifying seasonality as stochastic is important to avoid erroneously assigning those fluctuations to other risk factors. We also estimate a nonlinear version of the model that imposes the zero lower bound on interest rates and find similar results.