Democracy and environmental quality

We develop and estimate an econometric model of the relationship between several local and global air pollutants and economic development while allowing for critical aspects of the socio-political-economic regime of a State. We obtain empirical support for our hypothesis that democracy and its associated freedoms provide the conduit through which agents can exercise their preferences for environmental quality more effectively than under an autocratic regime, thus leading to decreased concentrations or emissions of pollution. However, additional factors such as income inequality, age distribution, education, and urbanization may mitigate or exacerbate the net effect of the type of political regime on pollution, depending on the underlying societal preferences and the weights assigned to those preferences by the State.     

Measuring Vulnerability to U.S. Foreign Economic Sanctions

Economic sanctions are an important instrument of U.S. foreign policy. While politicians look favorably on unilateral economic sanctions as a policy instrument, many scholars attribute significant long-term economic costs to the United States and have doubts about their effectiveness. We outline a simple approach to assess the vulnerability of target countries to sanctions in order to develop focused sanctions and reduce unnecessary costs to U.S. business, avoid the imposition of sanctions on countries when sanctions are unlikely to have the desired effects, and determine what other countries must join the United States in imposing sanctions if they are to be effective.JEL Classification K330,F190     

An Investigation of the Association between Cultural Dimensions and Variations in Perceived Use of and Compliance with Internal Auditing Standards in 19 Countries

Using a large sample of chief audit executives and internal audit managers from 19 countries, we investigate potential associations between cultural dimensions and variations in perceived use/compliance with the internal auditing standards. We find uncertainty avoidance to be inversely related to both use and compliance. We also find assertiveness and human orientation to be positively related to compliance but not to use of Standards. Among control variables, we find positive associations for the length of Institute of Internal Auditors (IIA) membership, professional certification in internal auditing, and hours of continuing professional education (CPE) training on both perceived use and compliance. Finally, we find “Cost of compliance” and “Compliance not expected in my country” to be inversely related to perceived use/compliance. Implications of these findings are discussed.     

Flood Insurance Coverage in the Coastal Zone

We explore determinants of flood insurance demand in the coastal zone using micro‐data for nine Southeastern counties. Overall estimates indicate price inelastic demand, though subsidized policyholders have greater coverage and are more price sensitive. Mortgage borrowers exhibit no greater coverage; only 12 percent in 100‐year flood zone indicate flood insurance was required by their lender. Flood insurance demand is increasing in the levels of flood and erosion risk. We find a positive correlation between household income and coverage, but the effect is not monotonic. Community‐level erosion hazard mitigation projects influence flood insurance coverage, with beach replenishment acting as a complement.     

Bounds for the mean residual life function of a <Emphasis Type="Italic">k</Emphasis>-out-of-<Emphasis Type="Italic">n</Emphasis> system

In the reliability studies, k-out-of-n systems play an important role. In this paper, we consider sharp bounds for the mean residual life function of a k-out-of-n system consisting of n identical components with independent lifetimes having a common distribution function F, measured in location and scale units of the residual life random variable X _t  = (X−t|X > t). We characterize the probability distributions for which the bounds are attained. We also evaluate the so obtained bounds numerically for various choices of k and n.     

Mixture of MLP-experts for trend forecasting of time series: A case study of the Tehran stock exchange

A new method for forecasting the trend of time series, based on mixture of MLP experts, is presented. In this paper, three neural network combining methods and an Adaptive Network-Based Fuzzy Inference System (ANFIS) are applied to trend forecasting in the Tehran stock exchange. There are two experiments in this study. In experiment I, the time series data are the Kharg petrochemical company’s daily closing prices on the Tehran stock exchange. In this case study, which considers different schemes for forecasting the trend of the time series, the recognition rates are 75.97%, 77.13% and 81.64% for stacked generalization, modified stacked generalization and ANFIS, respectively. Using the mixture of MLP experts (ME) scheme, the recognition rate is strongly increased to 86.35%. A gain and loss analysis is also used, showing the relative forecasting success of the ME method with and without rejection criteria, compared to a simple buy and hold approach. In experiment II, the time series data are the daily closing prices of 37 companies on the Tehran stock exchange. This experiment is conducted to verify the results of experiment I and to show the efficiency of the ME method compared to stacked generalization, modified stacked generalization and ANFIS.     

Conditions for Sustainable Optimal Economic Development

This paper shows that, for dynamic optimizing economies with different types of natural resource, environmental, and human‐made capital stocks, a necessary and sufficient condition for permanently sustaining an optimal utility/consumption level is the stationarity of the current‐value Hamiltonian. For economies whose development is not exogenously and directly affected by time (i.e., time‐autonomous economies), this stationarity condition generalizes Dixit et al.’s (1980 ) “zero‐net‐aggregate‐investment” rule of sustain‐ability, which in turn generalizes Solow‐Hartwick’s sustainability rule. For non‐autonomous economies, the stationarity condition is not generally fulfilled, and the current‐value Hamiltonian under (over) estimates the true welfare level by an amount equal to the discounted value of the net “pure time effect.” For the non‐autonomous case of a time‐dependent utility discount rate, a general condition on the discount rate function (of which the hyperbolic discount rate function is a special case) upholds the results obtained for autonomous cases. The paper concludes with a discussion of policies that promote both optimality and sustainability objectives.     

A TEST OF THE RISK PREMIUM HYPOTHESIS

Contrary to economic theory, there is international evidence that common stock returns and inflation are negatively related. This negative relationship is examined in this paper and the applicability of the risk premium hypothesis is tested. According to this hypothesis, an increase in unanticipated inflation causes the market risk premium to rise, which in turn lowers current stock prices. A model is developed and the effect of uncertain inflation on the market risk premium across four countries is tested empirically. Results indicate that the market risk premium is positively related to uncertain inflation.