The Effects of Changing Cost Vectors on Choices and Scale Heterogeneity

Choice Experiments (CE) are widely used to estimate the values of changes in non-market goods and services. A cost attribute is typically included in a CE questionnaire to enable the estimation of monetary values for changes in the non-market attributes presented. Notwithstanding the central importance of the cost attribute, relatively little research has been undertaken on the impacts of varying cost attribute levels on value estimates, or on individual heterogeneity. In this paper, I present results from mixed logit and generalised mixed logit models that account for unobserved idiosyncratic preference and scale heterogeneity. Respondents are found to anchor their choices on the relative cost levels presented in the survey with results suggesting that people are more sensitive to relative rather than absolute cost vectors. However, the higher cost levels do not lead to significantly higher value estimates, partly because of observed preference heterogeneity towards the environmental attributes. An important observation is that scale heterogeneity is important: accounting for scale— as well as preference—heterogeneity in the generalised mixed logit model leads to significantly improved model fit. The results indicate significant unobserved error variance across respondents, unrelated to whether a high or low cost vector is used.     

企业家动态能力起源及影响因素研究

从能否度量的角度对“风险”和“不确定性”作出界定：“风险”指事件发生的概率能够被度量的不确定性,“不确定性”指事件发生的概率不可被度量的不确定性。进而根据企业家对风险和不确定性问题的不同处理方式,将企业家能力分为静态能力和动态能力。企业家动态能力在于创造出一种新的生产函数,适合处理不确定性问题,而静态能力更适合处理风险性问题。最后,对企业家动态能力的影响因素进行了实证分析。结果表明：相比于女性企业家,男性企业家具有更高概率使用动态能力。企业家动态能力与企业家的企业治理经验正相关,与企业家政府机关任职经历、研究经验负相关,与企业家出国经历关系不明确。     

The estimation of a hedonic asking and offer rent equation model: An EM algorithm approach

In this paper we claim that modeling housing markets, specifically the rental housing market, should be based on some sort of disequilibrium framework. We posit a model of asking and offer rents in the spirit of a sample selectivity model. This approach allows us not only to test whether landlords and tenants agree upon the marginal evaluations of unit attributes, but also to estimate the impact on rental demand of tenant specific attributes such as family income and race. Since estimators obtained from this procedure are consistent, but not efficient in this two equation context, we employ an EM algorithm in our estimation in order to obtain MLE equivalent estimators. We have found that our data support the use of this disequilibrium approach in that the coefficient estimates for the asking rent equation, under the assumptions of a sample selectivity model, are not coincident with those obtained from an uncorrected equation.     

Estimating the value of economic benefits associated with adaptation to climate change in a developing country: A case study of improvements in tropical cyclone warning services

Linking tropical cyclone activity with anthropogenic climate change is subject to on-going debate. However, modelling studies consistently have projected that climate change is likely to increase the intensity of cyclones and the related rainfall rates in the future. A precautionary approach to this possibility is to adapt to the adverse effects of the changing climate by improving early warning services for cyclones as a ‘no or low-regrets’ option. Given limited funding resources, assessments of economic efficiency will be necessary, and values for benefits are an essential input. This paper aims to estimate the benefits to households of an improved cyclone warning service in Vietnam. Choice experiment surveys with 1014 respondents were designed and conducted to inform this paper. The benefit estimates of the maximal improvements in a number of attributes of cyclone warning services (i.e. forecasting accuracy, frequency of update, and mobile phone based warnings) are approximately USD7.1–8.1 per household, which would be an upper bound estimate. Results from the marginal willingness to pay for the attributes suggest that investments should be dedicated to improvements in the accuracy of warning information and a warning service based on mobile phone short message.     

Bayesian updates using precursor events

It is common practice among technological forecasters to use precursor events to anticipate technological change. However, the information obtained from precursor events is usually qualitative in nature. A previous paper demonstrated that information about prior “similar” innovations can be used to generate a probability distribution of lag times between a precursor event and the event to be forecast, thus making the forecasts more quantitative. This paper presents a method for using Bayes' Equation to update probability distributions of lag time using the occurrence of additional precursor events.     

A reliability engineering approach for forecasting technological breakthroughs

One of the major attributes determining system reliability, the one that has received the most thorough and systematic study for many years, is system survival function. A “survival function” is a mathematical formula relating the probability of satisfactory performance of a system to time. Here, probability of satisfactory performance is synonymous with probability of nonfailure or probability of survival of a performing system.In breakthrough analysis of complex technological systems, the situation is somewhat similar but opposite to the above system reliability case. For breakthrough forecasting, the problem is to determine the probability of occurrence of success of a nonperforming system. Thus this paper presents a quantitative methodology for forecasting technological breakthroughs using a new concept of “attainability function,” derived in a similar fashion as the “reliability function.”     

Valuing Aircraft Noise: Stated Choice Experiments Reflecting Inter-Temporal Noise Changes from Airport Relocation

The relocation of Athens Airport provided a rare experimental context in which residents experienced significant changes in noise levels due to the introduction or removal of aircraft noise. This paper reports the results from surveys around both airport locations, using stated choice experiments to estimate values for aircraft noise. The respondents were offered actual inter-temporal noise change scenarios rather than hypothetical variations, which is uncommon in the literature, incorporating the presence or absence of an airport and other relevant transport attributes that also changed with the airport relocation. Whilst there is some variation in the valuation of the airport closure and opening, when these values are adjusted to reflect the actual change in decibels, there is remarkably little difference between the old and new airports. However, a significant variation in aircraft noise values is identified between different areas, with respect to education and to a lesser extent income. Our preferred estimate of the monthly household willingness to pay for terminating aircraft noise exposure is 13.12€ and for avoiding the onset of aircraft noise is 9.53€.     

Sensitivity of Willingness to Pay Estimates to the Level of Attributes in Discrete Choice Experiments

This paper considers issues raised in the application of discrete choice experiments (DCEs) to estimating willingness to pay (WTP). The main issue addressed is the sensitivity of WTP estimates to the level of attributes. A DCE, concerned with preferences for alternative cervical screening programmes, was carried out with women in the Tayside area of Scotland. A split sample design was employed in which respondents were divided into two groups. Each group received a discrete choice questionnaire that varied with respect to the levels of three of the six attributes. The price attribute was one of the attributes that varied across questionnaires. Whilst estimated coefficients were not significantly different across five of the six attributes included in the experiment, mean WTP estimates were significantly different for four of the five welfare estimates. However, from a policy point of view, such a difference may not be important. Consideration is also given to other general methodological and policy issues that are raised when using DCEs to estimate WTP. The findings suggest the need for further research into the design and application of DCEs as a method for estimating WTP.     

The limited usefulness of macroeconomic Bayesian VARs when estimating the probability of a US recession

The Bayesian VAR model provides a convenient tool for generating predictive densities and making probability statements regarding the future development of economic variables. This paper investigates the usefulness of standard macroeconomic Bayesian VAR models to estimate the probability of a US recession. Defining a recession as two quarters in a row of negative GDP growth, the probability is estimated for two quarters of the most recent US recession, namely 2008Q3–2008Q4. In contrast to judgemental probabilities from this point in time, it is found that the BVAR assigns a very low probability to such an event. This is true also when survey data, which generally are considered as good leading indicators, are included in the models. We conclude that while Bayesian VAR models are good forecasting tools in many cases, the results in this paper raise question marks regarding their usefulness for predicting recessions.     

Deriving natural rates of unemployment for sub-national regions: the case of Canadian provinces

In order to pursue informed stabilization policies, it is vital for policy-markers to have estimates of how much of the total unemployment rate can be classified as cyclical rather than natural unemployment. This paper describes a method for generating regional natural-rate estimates and applies this method to the case of Canadian provinces. Results indicate that unemployment insurance generosity and relative minimum wages play an important role in determining natural unemployment rates in Canadian provinces. One of the enduring characteristics of the Canadian labour market has been substantial and peresistent unemployment rate disparities across provinces. The results of this study indicate that these disparities are primarily explained by differences in provincial values of structural variables such as unemployment generosity and by differences in provincial sensitivities to these structural variables. A furher result is that variation in cyclical unemployment rates is substantially less in the traditionally high unemployment region of Atlantic Canada than it is in the traditionally low unemployment province of Ontario. This result implies that the most appropriate policies to reduce unemployment in Atlantic Canada are not regionally-applied expenditure policies but rather policies designed to reduce structural distortions in the provincial labour markets.     

公司治理、经验学习与企业连续并购——基于我国上市公司并购决策的经验证据

文章以2004-2008年我国上市公司的1 480起并购事件为样本,运用事件历史分析方法研究了公司治理和经验学习对企业连续并购行为的影响。研究发现:(1)并购管理程序熟练程度和以往并购绩效反馈都会增加连续并购决策的发生概率;(2)国有股权、管理层持股比率的增加、CEO和董事长两职合一会促进企业连续并购的发生,而具有较高独立性的董事会则可能会降低企业并购的发生概率;(3)国有股权、管理层持股比率、董事会领导结构和董事会独立性会强化经验学习对并购决策的影响效果。     

A new valuation question: analysis of and insights from interval open-ended data in contingent valuation

This paper introduces a type of open-ended valuation question where respondents state their willingness to pay in the form of an interval rather than a point estimate. Allowing the response to be expressed as an interval has advantages compared to traditional valuation questions: it captures potential valuation uncertainty, facilitates interpretation of uncertainty and most importantly, provides a richer set of information about individuals’ preferences. Furthermore, an open-ended willingness to pay format has advantages if a survey is carried out in more than one country. Too little is known about valuation uncertainty to represent willingness to pay only as an exact value. Therefore, this value should be complemented by upper and lower boundary estimates. In this paper I present new methods for estimating these different values. The methods are illustrated with results from a survey concerning wild salmon in the Vindel River, northern Sweden. The results suggest that the upper and lower boundaries provide a kind of confidence interval for the willingness to pay, which is encouraging for estimating these values to characterise willingness to pay. The results also illustrate that some earlier criticism in the literature of open-ended questions does not apply to the question presented in this paper.     

MEASURING WEALTH WITH SURVEY DATA: AN EVALUATION OF THE 1983 SURVEY OF CONSUMER FINANCES

Because wealth estimates from survey data have usually fallen substantially short of independent aggregate estimates, survey data have not been seen as adequate for assessing questions dependent on a good representation of the entire distribution of wealth, such as estimates of wealth concentration. The 1983 Survey of Consumer Finances (SCF), which contains a supplementary sample of very high income households drawn from a tax-file sample frame, is the first U.S. survey since the 1963 Survey of Financial Characteristics of Consumers that offers hope of accurately measuring the entire wealth distribution. In this paper, we discuss the design of the survey, the critical issue of proper weighting to merge the supplementary sample with an area probability sample, and the role of imputation. We show that the use of ordinary area probability samples alone leads to probable bias in the measurement of highly concentrated assets such as stocks and bonds. We compare the SCF data with aggregates derived from the flow-of-funds accounts of the Federal Reserve Board. While methodological issues cloud exact comparisons, it appears overall that the SCF estimates are at least as credible as other aggregate measurements. Finally, we use the data to assess the change in concentration of wealth from 1963 to 1983. We estimate that the concentration of wealth in terms of households did not change significantly over this period.     

A simple algebraic estimation procedure for innovation diffusion models of new product acceptance

A simple algebraic estimation procedure is developed to estimate the parameters of diffusion models of new product acceptance. The procedure required knowledge of the occurrence of the point of inflection (based on actual data, analogous products, or management judgments). It is conceptually easy to use and can be implemented by using a hand calculator. Since the procedure does not employ period-by-period time-series diffusion data, it is not expected to provide the best fit to the data as compared to the maximum likelihood and nonlinear least squares estimation procedures. However, the procedure can provide very reasonable estimates about the relative magnitudes of the parameter estimates. In that respect, the procedure can be used to generate good starting values for the maximum likelihood and nonlinear least squares estimation procedures. In the absence of data, using management judgments about the point of inflection, the procedure can be implemented in a decision-support system to develop conditional diffusion curves for a new product. Data from four diverse innovations are used to illustrate the procedure.     

Time-dependent event cross-impact analysis: Results from a new model

This time-dependent event cross-impact model involves four stages. In the first stage, an undisturbed world view, prior to new information being obtained, is projected for a set of events to occur with specified probability densities over an indefinite time horizon. In the second stage, the estimator fills in the cells of a cross-impact matrix with qualitative estimates of the strength and direction of the impacts. Qualitative cross-impacts are converted to aaquantitative form by the analyst conducting the excercise. In the third stage, it is assumed that new information becomes known to the estimator causing him to project anew the time-dependent probabilities of the events in the set. In the fourth and final stage, an event cross-impact simulation model is constructed in system dynamics and run to produce new probability densities of the event set. These densities take into account both the cross-impacts between events and the effect of the newly obtained information. The possible results include both shifts of the most likely time of occurence and changes in the cumulative probability of the events. The chief usefulness of the model is that it provides a method of foreshortening the time required by decision-makers to take into account the effect of new information on the probability of events occuring over a time period.     

An options-based approach to forecast competing bids: evidence for Canadian takeover battles

During takeover battles, a tender offer provides a call option right to the target’s shareholders: it guarantees the offered price but maintains the chance of a higher offer. We present an options-based approach to estimate the probability and expected value of higher competing takeover bids using target stock price data. Analysing Canadian takeover battles in the period 1997 to 2007 we find that during the 5 trading days prior to the occurrence of an increased takeover bid, the estimated probability of a higher bid exceeds 80% on average and the expected value of a potential competing bid almost matches the realized value.     

An alternative interpretation of multiple bounded WTP data—Certainty dependent payment card intervals

This paper analyzes the multiple bounded format, in which uncertainty is directly incorporated into the WTP question. A new approach for analyzing multiple bounded uncertainty data is presented. The intuition underlying the approach is that uncertain individuals would like to state their WTP as intervals rather than precise values and that the width of the intervals is determined by the degree of uncertainty. The approach is compared to the one applied in Welsh and Poe [Welsh, M., Poe, G.L., 1998. Elicitation effects in contingent valuation: comparisons to a multiple bounded discrete choice approach. Journal of Environmental Economics and Management 36, 170–185] which treats uncertainty by conditioning responses on specific verbal probability statements. We argue that the conditioning approach overestimates mean and median WTP and that conditioning WTP estimates on probability statements like “probably” and “unsure” make them “fuzzy”. To empirically compare the two approaches we use data from 2004 concerning implementation of a predator protection policy in Sweden. Our analysis show that the suggested approach: (1) is more intuitive; (2) better fits the data; (3) estimates mean and median WTP with better precision; (4) is less sensitive to distributional assumptions; and (5) it is better suited for policy analysis.     

Positional learning with noise

We propose (and test experimentally) a model of observational learning in which players have social preferences. To this end, we design an experiment–based on a classic parlor game known as the Chinos Game–in which we vary (by way of an exogenous iid stochastic process) the probability of getting the prize in the event of a correct guess. By this design, we are able to estimate more efficiently players’ sensitivity to difference in payoffs (and how this sensitivity affects information decoding along the sequence). We also condition our estimates upon additional information on subjects’ socio-demographics, risk attitudes and cognitive reflection by way of a questionnaire that we collect at the end of each session.     

Time to change. Rating changes and policy implications

The recent financial crisis manifested the criticism to rating agencies of being slow in adjusting their rating to current conditions. This paper examines the timeliness of rating changes and identifies factors which result in ‘stickiness’ of rating actions. Knowledge of the stickiness of rating agencies is a first step in designing a more appropriate rating system. Stickiness is characterized by not adjusting the rating even when a market-based estimate of default probability changes. Extending an econometric model of friction the migration policy is modelled in terms of thresholds which have to be crossed by default probability estimates before an up- or downgrade occurs. Default probability estimates have to change by two notches before the rating agency reacts. The timeliness differs across the rating spectrum and over the years. During periods with high defaults and for low credit quality firms agencies tend to rate more timely.     

Cost of Road Accident Fatalities to the Economy

Road accidents have a major impact on the economy as well as society. In other words, such an event also has an impact on the affected individuals’ contribution back to society and state. The purpose of this paper is to study the effect of traffic accidents on the economy. We evaluate the value or cost of a human life in traffic accidents. To estimate the cost, we need to know the income contribution of each individual via his or her employment or other earnings, i.e. his or her income-generating capacity for the remainder of his or her life, had the incident not occurred. Then we find the “present value” of such income, adjusted for the probability of such an event (fatality) happening. This is similar to the calculation of a pure insurance premium. Assessment of the economic impact caused by human life loss is dealt with using insurance-based methods. We calculate the burning cost of an insurance policy that provides coverage for the risk under investigation. It is of interest to the state and the family of the deceased to recover as much of this lost income as possible.