Variety‐Controlling Public Policy Under Addiction and Saturation

This paper constructs a tractable general equilibrium model for investigating the dissimilar effects of addiction and saturation on consumption and public policy. By introducing an industry‐specific intertemporal consumption externality, we provide clear analytical results that a lump‐sum subsidy for firms can increase welfare in the presence of a negative externality (saturation). A tax can accomplish the same given a positive externality (addiction). Unlike existing studies of cultural goods, these results are not based on assumptions concerning exogenous different preferences across groups, but rather on conventional monopolistic competition and consumption habit formation models in macroeconomics.     

多边贸易体制下国营贸易企业的多重义务研究——以加拿大的国际司法实践为例

在现今的多边贸易体制之下,国营贸易企业承担了多重义务。除GATT第17条对国营贸易企业明确的义务界定之外,国营贸易企业还需承担作为补贴提供者、补贴接受者与反垄断法上的义务。这些义务体现了现行多边贸易规则对国家参与经济的不信任。国营贸易承担的多重义务,从根本上讲是多哈回合农业谈判关于国营贸易存废之争的投射。对我国而言,在积极参与新规则的谈判与修订、为本国国营贸易企业创造合法的发展空间之余,还应同时采用包括私营贸易企业、行业协会等其他手段,完善对出口竞争的统筹与调控。     

Why are US firms using more short-term debt?

We show that corporate use of long-term debt has decreased in the US over the past three decades and that this trend is heterogeneous across firms. The median percentage of debt maturing in more than 3 years decreased from 53% in 1976 to 6% in 2008 for the smallest firms but did not decrease for the largest firms. The decrease in debt maturity was generated by firms with higher information asymmetry and new firms issuing public equity in the 1980s and 1990s. Finally, we show that demand-side factors do not fully explain this trend and that public debt markets' supply-side factors play an important role. Our findings suggest that the shortening of debt maturity has increased the exposure of firms to credit and liquidity shocks.     

Public Pressure and Corporate Tax Behavior

We use a shock to the public scrutiny of firm subsidiary locations to investigate whether that scrutiny leads to changes in firms’ disclosure and corporate tax avoidance behavior. ActionAid International, a nonprofit activist group, levied public pressure on noncompliant U.K. firms in the FTSE 100 to comply with a rule requiring U.K. firms to disclose the location of all of their subsidiaries. We use this setting to examine whether the public pressure led scrutinized firms to increase their subsidiary disclosure, decrease tax avoidance, and reduce the use of subsidiaries in tax haven countries compared to other firms in the FTSE 100 not affected by the public pressure. The evidence suggests that the public scrutiny sufficiently changed the costs and benefits of tax avoidance such that tax expense increased for scrutinized firms. The results suggest that public pressure from outside activist groups can exert a significant influence on the behavior of large, publicly traded firms. Our findings extend prior research that has had little success documenting an empirical relation between public scrutiny of tax avoidance and firm behavior.     

我国政府补助准则与IAS20的比较

文章对我国政府补助准则与IAS20的异同点进行了比较分析.认为,我国政府补助准则与IAS20相比,在政府补助的定义、分类,政府补助的确认、计量和披露方面实现了大同,但也存在小异:大同是我国会计国际趋同的客观要求,小异则是我国特有的会计环境所决定的.小异主要体现在政府补助会计处理方法的选择、政府补助的归还和政府补助的披露等几个方面.     

Inflation volatility: A Bayesian approach

The ongoing trend of high inflation across much of the world has reignited interest in inflation volatility with varying foci and methods. In this paper, we employ a Bayesian framework to estimate inflation volatility using a sample of G20 countries. Estimation results suggest persistent heterogeneity in price volatility across time and countries. Furthermore, we use the Bayesian estimates of volatility to conduct several empirical analyses on the implications of interdependence of economies, development status for uncertainty. Further analyses on the determinants of price volatility suggest that trade openness, COVID-19, and the Ukraine crisis have positive impacts on volatility. Additionally, the nature of the political institutions and the share of manufacturing in total national output are also found to affect volatility to some extent.     

Controlling agricultural nonpoint water pollution: costs of implementing the Maryland Water Quality Improvement Act of 1998⋆

The Maryland Water Quality Improvement Act of 1998 (WQIA) seeks to create environmental and other benefits to the Chesapeake Bay through reductions in nonpoint source nutrient pollution. This paper analyzes the economic impacts of the WQIA on agricultural users of nutrients (commercial fertilizers or animal manures) and on poultry growers in the state of Maryland. The net economic impacts to each of these groups are estimated along with some discussion of the distribution of the impacts. Recognition of the distribution of the impacts allows for the assessment of potential policies to address negative impacts. Additional sections of the WQIA are discussed in terms of their ability to shift the distribution of the impacts or to provide partial compensation to those most affected. The WQIA is the most restrictive agricultural nonpoint pollution control law in the US. While the WQIA only regulates nutrient use in the state of Maryland, other states, as well as the federal government, are watching how this law is implemented. Many states are considering similar laws. At the national level, the United States Department of Agriculture and the United States Environmental Protection Agency have issued draft guidelines that will control nutrients from animal operations in much the same way as the WQIA. Therefore, analyses of the economic impacts of the WQIA may be important in shaping policies in other states and at the national level.     

Stock market prediction using evolutionary support vector machines: an application to the ASE20 index

The main motivation for this paper is to introduce a novel hybrid method for the prediction of the directional movement of financial assets with an application to the ASE20 Greek stock index. Specifically, we use an alternative computational methodology named evolutionary support vector machine (ESVM) stock predictor for modeling and trading the ASE20 Greek stock index extending the universe of the examined inputs to include autoregressive inputs and moving averages of the ASE20 index and other four financial indices. The proposed hybrid method consists of a combination of genetic algorithms with support vector machines modified to uncover effective short-term trading models and overcome the limitations of existing methods. For comparison purposes, the trading performance of the ESVM stock predictor is benchmarked with four traditional strategies (a naïve strategy, a buy and hold strategy, a moving average convergence/divergence and an autoregressive moving average model), and a multilayer perceptron neural network model. As it turns out, the proposed methodology produces a higher trading performance, even during the financial crisis period, in terms of annualized return and information ratio, while providing information about the relationship between the ASE20 index and DAX30, NIKKEI225, FTSE100 and S&P500 indices.