Tax distortions in Sweden and the United States

We calculate the welfare costs of distortionary taxation (including inflation) in models calibrated for the United States and Sweden. The welfare costs are calculated using comparative steady state as well as dynamic analysis, where we take the costs of transition from the distorted to the optimal steady state into account. We also calculate the welfare costs of adding stochastic fluctuations. Our main finding is that the total welfare costs of the distortionary taxes including the distortionary effects of inflation are about five times higher in Sweden than in the United States. Meanwhile, stochastic fluctuations in policy turn out to have a relatively small impact on welfare.     

Integrating dynamic pricing and inventory control for fresh‐agri product under consumer choice

In this article, we investigate a joint pricing and inventory problem for a retailer selling fresh‐agri products (FAPs) with two‐period shelf lifetime in a dynamic stochastic setting, where new and old FAPs are on sale simultaneously. At the beginning of each period, the retailer makes ordering decision for new FAP and sets regular and discount prices for new and old inventories, respectively. After demand realisation, the expired leftover is disposed and unexpired inventory is carried to the next period, for continuing selling. Unmet demand of all FAPs is backordered. The objective is to maximise the total expected discount profit over the whole planning horizon. We present a price dependent, stochastic dynamic programming model taking into account zero lead‐time, linear ordering costs, inventory holding and backlogging costs, as well as disposal cost. As the influence of the perishability, each customer selects his preferred choice based on the utility of product price and quality. By the way of constructing demand rate vector, the original formulation can be transferred to be jointly concave and tractable. Finally, we characterise the optimal policy and develop effective methods to solve the problem. We also conduct numerical studies to further characterise the optimal policy, and to evaluate the loss of efficiency under static policies when compared to the optimal dynamic policy.     

Welfare cost of inflation in a stochastic balanced growth model

There is a large and growing literature on the welfare cost of inflation. However, work in this area tend to find moderate estimates of welfare gains. In this paper we reexamine welfare costs of inflation within a stochastic general equilibrium balanced growth model paying a particular attention to recursive utility, portfolio balance effects, and monetary volatility and monetary policy uncertainty. Our numerical analysis shows that a monetary policy that brings down inflation to the optimum level can have substantial welfare effects. Portfolio adjustment effects seem to be the dominant factor behind the welfare gains.     

BANK EFFICIENCY AND THE EFFECTIVENESS OF MONETARY POLICY

Advances in information technology and bank consolidation have altered the way banks operate by necessitating that banks control costs and provide services efficiently to remain competitive. Given the unique role bank operations play in the transmission of monetary policy, a key unresolved question is whether bank efficiency alters monetary policy outcomes. Using a stochastic frontier approach to measure cost‐efficiency and panel data of U.S. bank balance sheets, we show that banks with greater cost‐efficiency are more sensitive to monetary shocks. (JEL E52, E44, E51)     

Burn or bury? A social cost comparison of final waste disposal methods

This paper evaluates the two well-known final waste disposal methods, incineration and landfilling. In particular we compare the social cost of two best-available technologies using a point estimate based on private and environmental cost data for the Netherlands. Not only does our comparison allow for Waste-to-Energy incineration plants but for landfills as well. The data provide support for the widespread policy preference for incineration over landfilling only if the analysis is restricted to environmental costs alone and includes savings of both energy and material recovery. Gross private costs, however, are so much higher for incineration, that landfilling is the social cost minimizing option at the margin even in a densely populated country such as the Netherlands. Furthermore, we show that our result generalizes to other European countries and probably to the USA. Implications for waste policy are discussed as well. Proper treatment of and energy recovery from landfills seem to be the most important targets for waste policy. Finally, WTE plants are a very expensive way to save on climate change emissions.     

Using the stochastic health state function to forecast healthcare demand and healthcare financing: Evidence from Singapore

Typically, healthcare financing for an ageing population requires projections on healthcare demand and cost. However, projecting healthcare demand based on projected elderly does not consider changes in population health state over time. This paper proposes a new approach to forecast health variables using a stochastic health state function and the well‐established Lee–Carter stochastic mortality model. With the estimated health state at each age over time, we project the hospitalization rate, healthcare demand, and financing cost for Singapore using historical life tables and hospital admission data. Our findings show that while hospital insurance claims increase owing to an aging population, improving health state could save costs from hospital insurance claims. This has policy implications: more attention should be given to preventive healthcare such as health screening to improve the overall health state of the population.     

Unilateral climate policy and the green paradox: Extraction costs matter

I analyze the effect of unilateral climate policies in a two‐country model where fossil fuel extraction costs depend on both current extraction and remaining stock and where a constant marginal‐cost clean substitute is available. An intensification of climate policy in the country with an initially stricter policy does not increase early fossil fuel extraction (i.e., there is no “weak green paradox”) or the present value of pollution costs (i.e., there is no “strong green paradox”) if energy demand in that country is initially met with a mix of fossil fuel and a substitute. Whether a stricter climate policy in the country with an initially laxer policy causes a weak green paradox depends on the price elasticity of energy demand and the strength of the flow and stock dependence of extraction costs. If the reduction of total extraction is sufficiently strong, it overcompensates for a weak green paradox with respect to pollution costs. Thus, a weak green paradox does not necessarily imply a strong green paradox, due to stock dependence.     

Cost allocation in spanning network enterprises with stochastic connection costs

This paper considers the problem of network formation and cost allocation that arises when customers need to be connected to a single service provider through a (communication) network. The cost of a connection consists of both the construction costs and the maintenance costs. Since the latter costs are unknown ex ante connection costs are represented by random variables. It is shown how an ‘optimal’ network is determined and that the core of the corresponding stochastic spanning tree game is non-empty. A two stage Bird allocation is defined and shown to be a core allocation of stochastic spanning tree games.     

Cost efficiency and scale economies in the Turkish insurance industry

This article examines the cost efficiency and scale economies of insurance firms in the Turkish insurance industry over a 15-year period, 1990–2004. Using the stochastic cost frontier model, cost efficiency scores and scale economies were estimated for each firm in the sample. The results show that mean cost inefficiencies range between 18.3 and 36.9% of total costs and they do not tend to decrease over time. On average, small firms are more cost efficient than large firms. Economies of scale appear present and significant for any class size. The results suggest that there is a substantial difference in scale economies between small and large insurance firms.     

Asymmetric Regulation of Identical Polluters in Oligopoly Models

Studies of optimal second-best environmental regulation of identical polluting agents have invariably ignored potentially welfare-improving asymmetric regulation by imposing equal regulatory treatment of identical firms at the outset. Yet, cost asymmetry between oligopoly firms may well give rise to private as well as social gains. A trade-off is demonstrated for the regulator, between private costs savings and additional social costs when asymmetric treatment is allowed. Asymmetry is indeed optimal for a range of plausible parameter values. Further, it is demonstrated that for a broad class of abatement cost functions, there is scope for increasing welfare while keeping both total output and total emission constant. Some motivating policy issues are discussed in light of the results, including international harmonization and global carbon dioxide reduction.     

Aggregate fluctuations, financial constraints and risk sharing

Summary. Private information and costly state verification often result in credit rationing in models with smooth investment, affecting both loan size and total investment. The optimal contract is derived in a dynamic stochastic growth model with capital for two types of models: one with symmetric information and the other with asymmetric information and costly state verification. When all information is observed costlessly, the equilibrium optimal contract provides complete insurance to risk-averse savers against aggregate fluctuations. When information is asymmetric and there is costly state verification, the equilibrium optimal contract provides only partial insurance against aggregate shocks. The extent of insurance is measured by the marginal rate of transformation of consumption between borrowers and lenders which is closely linked to the user cost of capital. The deadweight monitoring costs create a wedge between a borrower's cost of capital and a lender's stochastic discount factor, with two results: (i) fluctuations in the user cost of capital provides a mechanism by which aggregate shocks can be␣propagated; (ii) the distribution of capital's share of output among borrowers, lenders, and monitoring costs varies even if capital's share is constant. Capital market frictions not only amplify aggregate fluctuations but also generate cross-sectional fluctuations that may not be observable in aggregate data. Received: November 17, 1997; revised version: April 20, 1998     

信誉的价值:基于淘宝数据对我国电子市场的特色解释

为了解释信誉在我国特色电子市场中的价值,本文基于2008年3月下旬淘宝网上三个电子产品的相关数据,分析卖方的长短期肯定信用度和否定信用度、运费、剩余时间、消费者保障服务及价格等对其销售价格、售出概率、售出数量及售出价格的影响。实证分析发现:信誉度对卖方销售及售出行为存在一定的显著影响;价格对销售等行为没有显著相关作用,而只有价格升水对售出概率存在调节作用;剩余时间会正向影响卖方的销售价格,运费却只对卖方售出概率存在负向影响,而消费者保障尚不能显著影响卖方的销售及售出行为。     

Economic cost–benefit analysis of the addictive digital game industry

This study attempts to estimate the economic costs and benefits of the addictive digital game industry. Addiction to digital games induces economic costs such as increase in crime, facilities investments for curbing addiction, increase in counselling costs and other welfare losses. As a case study, we investigate the digital game industry in South Korea which is known to have one of the highest rates of game addiction. According to our calculations, the annual cost of game addiction is estimated to be approximately $3.5B while the annual benefit is approximately $24.3B ($3.7B for addicted user market). The proportion of the total costs to total benefits from the game industry is an alarming 14% (95% for addicted user market). We offer some policy recommendations.     

Analysis of environmental efficiency variations: A nutrient balance approach

Recent literature has argued that environmental efficiency (EE), which is built on the materials balance (MB) principle, is more suitable than other EE measures in situations where the law of mass conversation regulates production processes. In addition, the MB-based EE method is particularly useful in analysing possible trade-offs between cost and environmental performance. Identifying determinants of MB-based EE can provide useful information to decision makers but there are very few empirical investigations into this issue. This article proposes the use of data envelopment analysis and stochastic frontier analysis techniques to analyse variation in MB-based EE. Specifically, the article develops a stochastic nutrient frontier and nutrient inefficiency model to analyse determinants of MB-based EE. The empirical study applies both techniques to investigate MB-based EE of 96 rice farms in South Korea. The size of land, fertiliser consumption intensity, cost allocative efficiency, and the share of owned land out of total land are found to be correlated with MB-based EE. The results confirm the presence of a trade-off between MB-based EE and cost allocative efficiency and this finding, favouring policy interventions to help farms simultaneously achieve cost efficiency and MP-based EE.     

A Q-theory model with lumpy investment

We present an analytically tractable dynamic stochastic general equilibrium model that incorporates micro-level fixed and convex adjustment costs. We provide an explicit characterization of equilibrium dynamics by a system of nonlinear stochastic difference equations. We provide general conditions under which our model features investment lumpiness at the microeconomic level, but aggregate dynamics are isomorphic to those in a Q-theory model without fixed costs. This theoretical result is independent of the specification of the fixed cost distribution and also holds true when firms face persistent idiosyncratic productivity shocks.     

Optimal procurement strategies by reverse auctions with stochastic demand

This paper studies a dynamic procurement problem by reverse auction for a retailer with stochastic demand. In each period, the retailer based on his inventory needs to determine a payment function (a procurement contract) according to which a number of potential suppliers compete in the reverse auction. We show the existence of the retailer's optimal payment function and find that the suppliers' Bayesian–Nash equilibrium bidding strategy is similar to the base-stock policy in the traditional multi-period inventory control problems when the retailer incurs no fixed setup cost, while similar to the (s, S) policy when the retailer incurs a fixed setup cost. This strategy is for the suppliers, instead of for the retailer, depends on the supplier's marginal cost and so is stochastic for the retailer. Thus, this paper extends well beyond traditional procurement environments studied so far in the inventory control literature.     

Optimal fishery harvesting rules under uncertainty

This paper derives the optimal fishery harvest policy in a real-option model with a stochastic logistic growth process, harvest-sensitive output price, and both fixed and variable harvesting costs. The policy specifies the harvest trigger and harvest size, while outputs from the model include the value of the fishery and the risk of extinction. The optimal policy is illustrated with data from the Pacific Halibut Fishery. For this particular case, the optimal policy recommends harvesting when the fish stock rises to about three-quarters the environmental carrying capacity, and the amount harvested should be approximately a quarter of the prevailing stock. This harvesting policy maximizes the value of the fishery, and importantly, the resulting risk of extinction is negligible. We also carry out some sensitivity analysis to see how the optimal policy (and the resulting fishery value and risk of extinction) change when the input parameters are varied, particularly the ecological parameters intrinsic growth rate and volatility of the stock, and also the economic parameters that have been ignored in previous papers (price sensitivity and fixed cost). If the optimal policy is followed, the risk of extinction will be negligible, except for very low growth rate and high volatility.     

Costs of change and political polarization

We study a two-period model of policy-making where (i) changes of current policies impose costs on all individuals that increase linearly with the magnitude of the policy shift and (ii) political power changes over time. We show that policy polarization is minimal for intermediate marginal costs. In turn, welfare is a single-peaked function of the marginal cost. One interpretation is that societies with political institutions that impose positive but moderate costs on political reforms simultaneously achieve the highest welfare and the lowest policy polarization.     

Optimal control of an invasive species with imperfect information about the level of infestation

The presence of invasive species is often not realized until well after the species becomes established. Discovering the location and extent of infestation before the invasive species causes widespread damage typically requires intensive monitoring efforts. In this paper, we analyze the problem of controlling an invasive species when there is imperfect information about the degree of infestation. We model the problem as a partially observable Markov decision process in which the decision-maker receives an imperfect signal about the level of infestation. The decision-maker then chooses a management action to minimize expected costs based on beliefs about the level of infestation. We apply this model to a simple application with three possible levels of infestation where the decision-maker can choose to take no action, only monitor, only treat, or do both monitoring and treatment jointly. We solve for optimal management as a function of beliefs about the level of infestation. For a case with positive monitoring and treatment costs, we find that the optimal policy involves choosing no action when there is a sufficiently large probability of no infestation, monitoring alone with intermediate probability values and treatment alone when the probability of moderate or high infestation is large. We also show how optimal management and expected costs change as the cost or quality of information from monitoring changes. With costless and perfect monitoring, expected costs are 20–30% lower across the range of belief states relative to the expected costs without monitoring.     

Cost structure,productivity and efficiency of the Italian public higher education industry 2001–2011

In this paper, I analyze the cost structure of the Italian higher education system for the decade between 2001 and 2011, by means of a stochastic translog cost function. I suggest that the judgment about the optimal configuration of the sector is strongly dependent upon the policy priorities set by decision makers. When assuming that the universities’ output is the number of students, scale economies are exhausted, and marginal costs are relatively low; when considering graduates as outputs instead, there is opportunity for increasing the scale of operations. Inefficiency affects production in a sensible manner, especially when assuming that the target output is the number of graduates. Moreover, efficiency contributes to explaining a relevant portion of the productivity increases in the period. No significant scope economies between teaching and research emerge, suggesting that a higher degree of universities’ specialization can be a direction for improving the sector’s efficiency and productivity.