models for referendum data the structure of discrete choice models for contingent valuation abstract in 1979 bishop and heberlein introduced an appealing variant of the contingent valuation method which required only yes or no responses hanemann developed a utility theoretic interpretation of the yes no responses which has helped popularize the approach recently cameron has offered another interpretation also utility theoretic which she argues is more general than the hanemann random utility model this paper compares the deterministic models suggested by hanemann and cameron showing them to be dual to each other it shows that correct specification of either function must exclude endogenous variables such as quantity demanded it also demonstrates that using utility theoretic models allows one to compare travel cost models and contigent valuation models on the basis of their implied behavior not on the unobservable surplus or variation measure

evaluating willingness to contribute to a local public good application of contingent valuation to tsetse control in ethiopia abstract african animal trypanosomiasis constrains the production of milk meat and animal traction across much of sub saharan africa the tsetse transmitted disease is particularly important in ethiopia where at least six million cattle are exposed to the disease in 1990 a trypanosomiasis control programme that used baited targets to kill tsetse flies was initiated in a case study area in southwest ethiopia major reductions in the density of tsetse flies and the prevalence of trypanosomiasis in cattle achieved during the first year were spoiled by the theft of a large number of the targets it was postulated that part of the problem stemmed from a lack of local involvement a survey of household heads was conducted to assess the prospects for greater local involvement when asked what ought to be done to stop theft respondents indicated their willingness to become more active in guarding the targets and detecting thieves they also suggested roles for the research organization and local authorities when asked contingent valuation questions about the maximum amounts of money and or labour that they would be willing to contribute to the programme 59 volunteered both money and labour and only 3 volunteered neither money nor labour willingness to contribute money was related to the gender of the household head the number of cattle held by the household and the participation of the household in a monitoring exercise being conducted by the research organization willingness to contribute labour was related to employment status and the information available to the respondent about the programme we conclude that contingent valuation when integrated into a participatory research approach can generate practical results for evaluating the prospects for local participation in the provision of local public goods

differences between continuous and discrete contingent value estimates in a split sample contingent valuation study of willingness to pay wtp for food safety improvements the dichotomous choice dc elicitation method consistently generated much larger estimates of wtp than did a continuous method little or none of these differences was due to bias introduced by the statistical techniques used with the dc data most or all of the difference was due to differences in respondent behavior in addition the continuous wtp responses showed a significant scope effect while the dc responses did not the observed difference in behavior may be attributable in part to yea saying by dc respondents

evaluating interval forecasts a complete theory for evaluating interval forecasts has not been worked out to date most of the literature implicitly assumes homoskedastic errors even when this is clearly violated and proceed by merely testing for correct unconditional coverage consequently i set out to build a consistent framework for conditional interval forecast evaluation which is crucial when higher order moment dynamics are present the new methodology is demonstrated in an application to the exchange rate forecasting procedures advocated in risk management

backtesting expected shortfall accounting for tail risk the basel committee on banking supervision bis has recently sanctioned expected shortfall es as the market risk measure to be used for banking regulatory purposes replacing the well known value at risk var this change is motivated by the appealing theoretical properties of es as a measure of risk and the poor properties of var in particular var fails to control for tail risk in this transition the major challenge faced by financial institutions is the unavailability of simple tools for evaluation of es forecasts i e backtesting es the main purpose of this paper is to propose such tools specifically we propose backtests for es based on cumulative violations which are the natural analogue of the commonly used backtests for var we establish the asymptotic properties of the tests and investigate their finite sample performance through some monte carlo simulations an empirical application to three major stock indexes shows that var is generally unresponsive to extreme events such as those experienced during the recent financial crisis whereas es provides a more accurate description of the risk involved this paper was accepted by neng wang finance

monte carlo benchmarks for discrete response valuation methods this paper argues that the belief that discrete contingent valuation cv questions yield substantially larger estimates of the mean and the median willingness to pay wtp for nonmarket resources in comparison to open ended cv questions is unfounded monte carlo experiments estimate the factors influencing the performance of wtp estimates based on discrete response models most of the error arises from the specification errors common to the empirical models in the literature these experiments suggest models where wtp is dominated by nonuse or passive use values are likely to have smaller errors than where large use values influence these decisions

real time density forecasts from bayesian vector autoregressions with stochastic volatility central banks and other forecasters are increasingly interested in various aspects of density forecasts however recent sharp changes in macroeconomic volatility including the great moderation and the more recent sharp rise in volatility associated with increased variation in energy prices and the deep global recession pose significant challenges to density forecasting accordingly this paper examines with real time data density forecasts of u s gdp growth unemployment inflation and the federal funds rate from bayesian vector autoregression bvar models with stochastic volatility the results indicate that adding stochastic volatility to bvars materially improves the real time accuracy of density forecasts this article has supplementary material online

backtesting marginal expected shortfall and related systemic risk measures this paper proposes an original approach for backtesting systemic risk measures this backtesting approach makes it possible to assess the systemic risk measure forecasts used to identify the finan

an axiomatic approach to systemic risk systemic risk refers to the risk of collapse of an entire complex system as a result of the actions taken by the individual component entities or agents that comprise the system systemic risk is an issue of great concern in modern financial markets as well as more broadly in the management of complex business and engineering systems we propose an axiomatic framework for the measurement and management of systemic risk based on the simultaneous analysis of outcomes across agents in the system and over scenarios of nature our framework defines a broad class of systemic risk measures that accomodate a rich set of regulatory preferences this general class of systemic risk measures captures many specific measures of systemic risk that have recently been proposed as special cases and highlights their implicit assumptions moreover the systemic risk measures that satisfy our conditions yield decentralized decompositions i e the systemic risk can be decomposed into risk due to individual agents furtherm

searching for the correct benefit estimate empirical evidence for an alternative perspective this paper contrasts the results of the contingent valuation hedonic price and property damages avoided valuation techniques each technique was used to estimate the value of flood risk reduction from the construction of a flood control project voting behavior in a referendum called specifically for the provision of the project was used to further interpret the results from the three valuation studies substantial differences were found between the estimates in explaining these differences an alternative perspective on the current debate over the validity and accuracy of nonmarket value estimates is offered

a test of the equality of closed ended and open ended contingent valuations a test is developed to find whether open ended and closed ended contingent valuation mechanisms lead to significantly different results the test is based on joint estimation of willingness to pay responses to open and closed ended questions asked of the same sample of individuals in a public good example individuals do respond differently depending on question format possible explanations include different incentives for strategic behavior and respondents lack of familiarity with the open ended question type no differences in willingness to pay were found in a private good example

product quality product price and share dynamics in the german compact car market the present paper examines one of the central elements of evolutionary thinking the replicator dynamics mechanism using data on product characteristics of automobiles sold on the german domestic market over the period 2001 2006 we construct a fitness variable for each car model applying non parametric efficiency measurement techniques better known as data envelopment analysis dea the basic question we intend to answer is whether cars providing a higher quality price ratio for consumers tend to increase their market share compared to variants with lower quality price ratio for consumers the relationship between a car models fitness and its market performance is empirically tested in a regression framework the results show that the principle of growth of the fitter is working as suggested by evolutionary theory in particular we find that car models with considerably lower fitness than the market average lose whereas models with above average fitness gain additional market shares

information effects in contingent markets information bias in contingent markets is poorly understood in this paper testable hypotheses concerning beneficial contingent market information effects are developed conceptually perspective information and relative expenditure information were expected to increase comprehension and increase bids provision cost information was expected to counteract free riding behavior and also increase bids hypothesis tests using experimental markets suggested that each information type induced small statistically insignificant bid increases however the combined effect of the three information types induced a desirable statistically significant increase in bids this result supports the contention that not all contingent market information effects are biases

a satisfactory benefit cost indicator from contingent valuation abstract standard economic concepts are used to develop a model of individual behavior when subject to the constraints of the contingent valuation choice context the model yields refutable consequences that are consistent with previously reported empirical findings including some that have been thought to be anomalous the model is used to show that different contingent valuation formats have predictably different performance characteristics notably the hicksian compensating measures are satisfactory benefit cost indicators when elicited using any one of several formats identified in the text of the formats examined one form of a policy referendum appears to have the most satisfactory characteristics overall we conclude that contingent valuation is a progressing research program

srisk a conditional capital shortfall measure of systemic risk we introduce srisk to measure the systemic risk contribution of a financial firm srisk measures the capital shortfall of a firm conditional on a severe market decline and is a function of its size leverage and risk we use the measure to study top financial institutions in the recent financial crisis srisk delivers useful rankings of systemic institutions at various stages of the crisis and identifies fannie mae freddie mac morgan stanley bear stearns and lehman brothers as top contributors as early as 2005 q1 moreover aggregate srisk provides early warning signals of distress in indicators of real activity received june 7 2011 accepted april 18 2016 by editor geert bekaert

yea saying in contingent valuation surveys a number of recent papers have provided estimates of willingness to pay derived in contingent valuation surveys exceeding those revealed in experimental or real life markets one possible explanation for the overestimation of values is the presence of yea saying with the objective of reducing the occurrence of yea saying a new elicitation format referred to as the dissonance minimizing d m format is proposed an empirical comparison of the dm format with the conventional dichotomous choice dc format and the ambivalence reducing polychotomous choice pc format suggested by ready whitehead and blomquist 1995 is made results are encouraging for the dm

estimating price discounts for low quality maize in sub saharan africa evidence from benin summary this article uses household data from benin to estimate the extent that markets in sub saharan africa discount damaged maize stated preference methods indicate that a 10 increase in insect damage results in a 9 maize price discount however revealed preference methods indicate that this discount is only 3 discounts are larger immediately after harvest than they are in the lean period when maize is scarce our results help explain why many smallholder farmers sell maize at harvest rather than making the effort to preserve grain of good quality for later in the season when it may fetch a higher price

confidence intervals for evaluating benefits estimates from dichotomous choice contingent valuation studies i evaluate the potential usefulness of nonmarket valuation concepts and techniques from environmental economics for improving wildlife conservation the concepts include distinguishing between on site recreation use value and off site passive use or

a new paradigm for valuing non market goods using referendum data maximum likelihood estimation by censored logistic regression abstract this paper challenges the w m hanemann amer j agr econom 66 332 341 1984 and c sellar j p chavas and j r stoll j environ econom management 13 382 390 1986 utilizations of logit models to estimate the value of non market resources from referendum survey data these data are more informative than conventional choice data the random utility interpretation of logit models is therefore too restrictive bypassing the utility function entirely it will be shown that parameters and standard errors for utility theoretic inverse hicksian demand functions can be extracted directly and much more simply estimated demand functions need not be limited to those corresponding to the linear in parameters utility difference specifications which can be handled by packaged logit programs

applied welfare economics with discrete choice models economists have been paying increasing attention to the study of situations in which consumers face a discrete rather than a continuous set of choices such models are potentially very important in evaluating the impact of government programs upon consumer welfare but very little has been said in general regarding the tools of applied welfare economics indiscrete choice situations this paper shows how the conventional methods of applied welfare economics can be modified to handle such cases it focuses on the computation of the excess burden of taxation and the evaluation of quality change the results are applied to stochastic utility models including the popular cases of probit and logit analysis throughout the emphasis is on providing rigorous guidelines for carrying out applied work this abstract was borrowed from another version of this item

validation of empirical measures of welfare change a comparison of nonmarket techniques since the passing of the flood control act of 1936 the attention of many resource economists has been directed towards measuring the benefits and costs of alternative uses of natural resources increasingly it has been recognized that the value of some of these uses is not explicitly determined through market transactions this has led to the focus of much attention upon the development of nonmarket methods to estimate the value of these uses in the 1940s the groundwork for the travel cost method was established by hotelling prewitt 1949 following this in the 1960s davis initiated the basic foundation for bidding methods davis 1963 which were later to be subsumed under the heading of contingent valuation methods brookshire randall and stoll 1980 schulze d arge and brookshire 1981 thayer 1981 both of these methods will be further discussed below in addition to these two methods a third approach the unit day value method has been recognized as acceptable but not preferred for the valuation of recreational uses of water and related land resources dwyer kelley and bowes 1977 u s water resources council 1979 given the existence of alternative methods of estimating the value of resource uses several obvious questions arise one of the first of these is under what circumstances is each method most appropriate existing literature has focussed sufficiently on this question and pointed out limitations of each especially the travel cost method and unit day value methods brookshire ives and schulze 1976 dwyer kelly and bowes 1977 freeman 1979 mcconnell 1975 randall ives and eastman 1977 schulze d arge and brook

stated preferences real behaviour and anchoring some empirical evidence we compare different contingent valuation question formats with each other and with observed behaviour for a non monetary estimation task the expected number of kilometers travelled by automobile open ended questions open ended follow up questions dichotomous choice dc questions and double bound dc questions are included the single and double bound dc questions result in an estimated mean about twice as high as the actual value and the open ended mean the dc question overestimation seems to be due to an anchoring effect leading to yea saying behaviour our results about the difference between dc questions and open ended questions is consistent with the pattern observed in contingent valuations studies of the willingness to pay our results indicates that dc questions seem to be associated with a general overestimation problem that is present even for simple non monetary estimation tasks

economic valuation of biodiversity sense or nonsense this paper critically evaluates the notion and application of economic monetary valuation of biological diversity or biodiversity for this purpose four levels of diversity are considered genes species ecosystems and functions different perspectives on biodiversity value can be characterized through a number of factors instrumental vs intrinsic values local vs global diversity life diversity vs biological resources etc a classification of biodiversity values is offered based on a system of logical relationships among biodiversity ecosystems species and human welfare suggestions are made about which economic valuation methods can address which type of biodiversity value the resulting framework is the starting point for a survey and evaluation of empirical studies at each of the four levels of diversity the contingent valuation method is by far the most used method an important reason is that the other valuation methods are unable to identify and measure passive or nonuse values of biodiversity at first sight the resulting monetary value estimates seem to give unequivocal support to the belief that biodiversity has a significant positive social value nevertheless most studies lack a uniform clear perspective on biodiversity as a distinct concept from biological resources in fact the empirical literature fails to apply economic valuation to the entire range of biodiversity benefits therefore available economic valuation estimates should generally be regarded as providing a very incomplete perspective on and at best lower bounds to the unknown value of biodiversity changes 2001 elsevier science b v all rights reserved

continuous cascade models for asset returns abstract in this paper we make a short overview of continuous cascade models recently introduced to model asset return fluctuations we show that these models account in a very parcimonious manner for most of stylized facts of financial time series we review in more details the simplest continuous cascade namely the log normal multifractal random walk mrw it can simply be considered as a stochastic volatility model where the log volatility memory has a peculiar logarithmic shape this model possesses some appealing stability properties with respect to time aggregation we describe how one can estimate it using a gmm method and we present some applications to volatility and var value at risk forecasting

introducing socioeconomic characteristics into production analysis under risk a theoretical framework is developed to study the effects of socioeconomic factors on farmers risk attitudes and production decisions no maintained assumptions about the individual s utility are required a key element in this framework is the categorization of socioeconomic factors by their effect on the farmer s risk attitudes a simple methodology for this categorization based on the equivalence between the arrow pratt measure of risk aversion and the probability of winning demanded is proposed the latter is illustrated with data collected in a survey of 180 israeli farmers from 20 villages

testing macroprudential stress tests the risk of regulatory risk weights we compare the capital shortfall measured by regulatory stress tests to that o fa benchmark methodology the v lab stress test that employs only publicly available market data we find that when capital shortfalls are measured relative to risk weighted assets the ranking of financial institutions is not well correlated to the ranking of the v lab stress test whereas rank correlations increase when required capitalization is a function of total assets we show that the risk measures used in risk weighted assets are cross sectionally uncorrelated with market measures of risk as they do not account for the risk that risk will change furthermore the banks that appeared to be best capitalized relative to risk weighted assets were no better than the rest when the european economy deteriorated into the sovereign debt crisis in 2011

use of dichotomous choice nonmarket methods to value the whooping crane resource market prices for endangered wildlife species rarely exist when prices do exist they arc not likely to reflect accurately individual preferences both consumptive uses such as hunting fishing and trapping boyle and bishop 1985 stou and johnson brookshire eubanks and randall and more esoteric benefits such as viewing and existence values must be considered this article is addressed to the valuation of whooping cranes grus americana a prominent endangered species the purpose of this article is to present a methodology for estimating nonconsumptive benefits associated with the existence of an endangered species a dichotomous choice form of contingent valuation is applied to quantify individuals economic surplus associated with preservation of the whooping crane resource specific issues and limitations of the empirical approach are discussed some of which have been previously examined by bishop and heberlein 1979 and hanemann the present paper expands upon earlier work in several ways fit in addition to discussing the above issues a unique application of the approach to an endangered species is presented second three model specifications are examined two of which arc consistent with utility theory and one which is not hanemann ti again following hanemann economic surplus is estimated at the sample median as well as the mean the dii cussion of the last two issues sheds sit on their implications for estimation of economic surplus throughout the article the suitability of alternative estimation techniques for dichom mous choice or referendum style data is examined the methodological and empirical results are relevant to a number of cumnt issues regarding model specification choice of binary response model and choice of estimator for equivalent surplus hanemann boyle and bishop 1984 sellar chavas and stoll

effects of norms and opportunity cost of time on household recycling social and moral norms and the opportunity cost of time will affect household recycling efforts a model is developed to describe how norms affect the recycling decision through feelings of self respect guilty conscience and warm glow as well as respect in and sanctions from the community we find that the opportunity cost of time has a significant negative effect on household recycling all indicators of warm glow social and moral norms increase household recycling efforts we find no evidence of crowding out neither when recycling is perceived as mandatory nor when economic incentives are introduced in the form of a differentiated garbage fee

which are the sifis a component expected shortfall approach to systemic risk abstract this paper proposes a component approach to systemic risk which allows to decompose the risk of the aggregate financial system measured by expected shortfall while accounting for the firm characteristics developed by analogy with the component value at risk concept our new systemic risk measure called component es presents several advantages it is a hybrid measure which combines the too interconnected to fail and the too big to fail logics ces relies only on publicly available daily data and encompasses the popular marginal es measure ces can be used to assess the contribution of a firm to systemic risk at a precise date but also to forecast its contribution over a certain period the empirical application verifies the ability of ces to identify the most systemically risky firms during the 2007 2009 financial crisis we show that our measure identifies the institutions labeled as sifis by the financial stability board

contingent valuation experiments for strategic behavior abstract the existence and extent of strategic disclosures in field contingent valuation surveys have been debated but few empirical studies are available this paper summarizes the results of an experiment to identify strategic behavior using alternative disclosure mechanisms with closed ended and open ended formats in addition the experiment examined the effect of mechanism design on respondent s ability and willingness to disclose their personal valuation statistical results using censored discrete regression analysis and nonparameteric means tests provide some evidence of systematic differences due to strategic behavior but the comparisons are inconclusive due to the significant influence of sample selection on valuation results using closed ended formats and the inherent limitations of comparative means test procedures evidence from this analysis cannot refute the hypothesis that respondents try to the best of their ability to provide truthful information but the procedures used to interpret this information can have a significant effect on aggregate valuation results

bootstrapping in applied welfare analysis bootstrapping procedures are used to estimate the statistical properties of common empirical welfare measures results from a monte carlo experiment indicate that welfare estimates such as marshallian consumer surplus often exhibit significant bias standard errors of welfare estimates are found to often exceed the magnitude of the point estimate for typical cross section data sets and are generally larger than the difference between comparable hicksian and marshallian measures precision of welfare estimates can be markedly enhanced through generating larger data sets obtaining better model fits and through imposition of innocuous inequality restrictions on the demand function parameters

a convergent validity test within the payment card format using simulation techniques a convergent validity test is performed between two groups of versions of the payment card format the first group the classic payment card cpc asks respondents to report their willingness to p

an experimental testing of anchoring effects in discrete choice questions this paper re examines the openended dichotomous choice question in the lab it hasearlier been suggested that the dichotomous choiceformat suffers from anchoring and yea saying comparing actual economic commitments for a privategood with a significant market value we cannot rejectthe null hypothesis of equal wtp for the two formats we conclude that problems with dc might be due toissues of how the survey is framed not the dcquestion itself

does question format matter valuing an endangered species a three way treatment design is used to compare contingent valuation response formats respondents are asked to value an endangered species the red cockaded woodpecker and the restor ation of its habitat following a natural disaster for three question formats open ended payment card and double bounded dichotomous choice differences in survey response rates item non response rates and protest bids are examined bootstrap techniques are used to compare means across formats and to explore differences in willingness to pay wtp distribution functions convergent validity is found in a comparison of mean wtp values although some differences are apparent in the cumulat ive distribution functions differences across formats are also identified in item non response rates and proportion of protest bids overall the payment card format exhibits desirable properties relative to the other two formats

valuing health care using willingness to pay a comparison of the payment card and dichotomous choice methods this paper compares willingness to pay wtp estimates generated from the dichotomous choice dc and payment card pc approaches in a split sample wtp experiment concerned with allocating scarce health care resources across three health care interventions the dc approach is shown consistently to generate larger welfare estimates than the pc observed difference between pc and dc experiments cannot be explained by the inclusion of non demanders or methods of statistical analysis but may be partly explained by yea saying no evidence of range bias or mid point bias was found with pc responses data were also collected on respondents ordinal rankings of the three interventions and person trade offs ptos neither of these approaches converged with wtp future work must address the decision heuristics individuals employ when responding to valuation experiments

multinomial var backtests a simple implicit approach to backtesting expected shortfall under the fundamental review of the trading book frtb capital charges for the trading book are based on the coherent expected shortfall es risk measure which show greater sensitivity to tail risk in this paper it is argued that backtesting of expected shortfall or the trading book model from which it is calculated can be based on a simultaneous multinomial test of value at risk var exceptions at different levels an idea supported by an approximation of es in terms of multiple quantiles of a distribution proposed in emmer et al 2015 by comparing pearson nass and likelihood ratio tests lrts for different numbers of var levels n it is shown in a series of simulation experiments that multinomial tests with n 4 are much more powerful at detecting misspecifications of trading book loss models than standard bi nomial exception tests corresponding to the case n 1 each test has its merits pearson offers simplicity nass is robust in its size properties to the choice of n the lrt is very powerful though slightly over sized in small samples and more computationally burdensome a traffic light system for trading book models based on the multinomial test is proposed and the recommended procedure is applied to a real data example spanning the 2008 financial crisis

a box cox double hurdle model of wildlife valuation the citizen s perspective abstract a stated preference approach is used to elicit the attitudes of the general public towards coyote conservation the payment vehicle is presented in a way that explicitly prompts respondents to adopt a citizen perspective rather than a consumer perspective when responding to the survey to deal with the large numbers of zero responses a box cox double hurdle specification is used to model separately individuals choices about whether to support conservation or not and their choice about the level of support the results show that simpler analyses that do not account explicitly for these two different decisions would lead to misleading conclusions in the study of nuisance wildlife the study uses primary data from prince edward island canada

beyond replicator dynamics innovation selection dynamics and optimal diversity we propose a new evolutionary approach to model technological change based on an extension of replicator dynamics with recombination and mutation it gives rise to interactive innovation selection dynamics the model allows studying the combined effects of selection and variety generation on evolutionary economic change the developed framework describes a population of boundedly rational entrepreneurs who decide each period on the allocation of investments in different production technologies they tend to invest in belowaverage cost technologies just as under replicator dynamics in addition they spend a constant fraction of investments captured by mutation and recombination rates on alternative technologies and research on recombinant innovation as opposed to most previous studies mutation and recombination are here conceptual variables with a concrete behavioral interpretation namely describing the decision rules heuristics of investors we compare the dynamics of shares of investments in various technologies for three cases with constant costs of capital with costs decreasing steadily and exogenously over time and with costs depending on the level of cumulative investments for each model version we examine under which conditions the coexistence of technological options is feasible and optimal in terms of minimising the average cost of investments authors abstract

on the gap between payment card and closed ended cvm answers the paper presents contingent valuation cv estimates of benefits provided by a proposed kalkalpen national park in austria although descriptive results of welfare measures are presented the focus of the paper is on methodological questions concerning the analysis of cv answers evidence is given regarding the difference between payment card pc answers and closed ended question formats based on different estimation models for cv questions substantial differences are found between closed ended and payment card welfare measures on average pc willingness to pay wtp measures are below the closed ended figures since the evaluation models are based on different premises in the calculation of wtp figures a more precise disclosure of the underlying evaluation methods is required if different question formats are compared to one another identical assumptions on the probability distributions have to be assumed whenever open and closed ended cv welfare measures are compared taking theoretical argument

capital shortfall a new approach to ranking and regulating systemic risks the financial crisis of 2007 2009 has given way to the sovereign debt crisis of 2010 2012 yet many of the banking issues remain the same we discuss a method to estimate the capital that a financial firm would need to raise if we have another financial crisis this measure of capital shortfall is based on publicly available information but is conceptually similar to the stress tests conducted by us and european regulators we argue that this measure summarizes the major characteristics of systemic risk and provides a reliable interpretation of the past and current financial crises

capturing deep tail risk via sequential learning of quantile dynamics abstract this paper develops a conditional quantile model that can learn long term and short term memories of sequential data it builds on sequential neural networks and yet outputs interpretable dynamics we apply the model to asset return time series across eleven asset classes using historical data from the 1960s to 2018 our results reveal that it extracts not only the serial dependence structure in conditional volatility but also the memories buried deep in the tails of historical prices we further evaluate its value at risk forecasts against a wide range of prevailing models our model outperforms the garch family as well as models using filtered historical simulation conditional extreme value theory and dynamic quantile regression these studies indicate that conditional quantiles of asset return have persistent sources of risk that are not coming from those responsible for volatility clustering these findings could have important implications for risk management in general and tail risk forecasts in particular

systemic risk measurement multivariate garch estimation of covar abstract we modify adrian and brunnermeier s 2011 covar the var of the financial system conditional on an institution being in financial distress we change the definition of financial distress from an institution being exactly at its var to being at most at its var this change allows us to consider more severe distress events to backtest covar and to improve its consistency monotonicity with respect to the dependence parameter we define the systemic risk contribution of an institution as the change from its covar in its benchmark state defined as a one standard deviation event to its covar under financial distress we estimate the systemic risk contributions of four financial industry groups consisting of a large number of institutions for the sample period june 2000 to february 2008 and the 12 months prior to the beginning of the crisis we also investigate the link between institutions contributions to systemic risk and their characteristics

designing transactions without framing effects in iterative question formats abstract several studies document that iterative question formats used in contingent valuation studies produce anomalies in respondent behavior that appear to threaten the validity of welfare estimates by decomposing iterative question formats into their ascending and descending sequences we show that these anomalies occur only in ascending sequences we describe the conditions under which comparable patterns of behavior are likely to be found in other iterative question formats that begin with a discrete willingness to pay question we then develop a unified explanation of these anomalies using our model of framing based on prospect theory we provide the first head to head test of rival explanations of these behavioral patterns by developing refutable hypotheses for the strategic behavior yea saying anchoring and cost expectations models finally based on our own statistically robust model we show how these anomalies can be eliminated without loss of the statistical efficiency of most iterative question formats

back to the future backtesting systemic risk measures during historical bank runs and the great depression abstract we evaluate the performance of two popular systemic risk measures covar and srisk during eight financial panics in the era before fdic insurance bank stock price and balance sheet data were not readily available for this period we rectify this shortcoming by constructing a novel dataset for the new york banking system before 1933 our evaluation exercise focuses on two challenges ranking systemically important financial institutions sifis and financial crisis prediction we find that covar and srisk meet the sifi ranking challenge that is they help identify systemic institutions in periods of distress beyond what is explained by standard risk measures up to six months before panics in contrast aggregate covar and srisk are only somewhat effective at predicting financial crises

the impact of information on environmental commodity valuation decisions a conceptual model is developed which provides insight into how information affects willingness to pay for environmental commodities a refutable hypothesis of the effects of a specific information type on the magnitude of willingness to pay for an environmental commodity is developed this hypothesis is tested using a contingent valuation method experiment results indicate that information affects willingness to pay in a theoretically plausible manner the results support the contention that information is important for accurate environmental commodity consumer valuations

differences between willingness to pay estimates from open ended and discrete choice contingent valuation methods the effects of heteroscedasticity most comparative studies find that the discrete choice contingent valuation method dc cvm yields higher willingness to pay wtp estimates than the open ended oe format in this paper we discuss and test several hypotheses to explain why wtp estimates from oe and dc cvm questions differ we find that wtp estimates from discrete choice data are very sensitive to assumptions made about the random utility in particular violation of the homoscedasticity assumption may lead to biased wtp estimates if the error terms are correlated with the cost this violation was a main source of difference in wtp estimates in our studies

measuring network systemic risk contributions a leave one out approach abstract the aim of this paper is to propose a new network measure of systemic risk contributions that combines the pair wise granger causality approach with the leave one out concept this measure is based on a conditional granger causality test and consists of measuring how far the proportion of statistically significant connections in the system breaks down when a given financial institution is excluded we analyse the performance of our measure of systemic risk by considering a sample of the largest banks worldwide over the 2003 2018 period we obtain three important results first we show that our measure is able to identify a large number of banks classified as global systemically important banks g sibs by the financial stability board fsb second we find that our measure is a robust and statistically significant early warning indicator of downside returns during the last financial crisis finally we investigate the potential determinants of our measure of systemic risk and find similar results to the existing literature in particular our empirical results suggest that the size and the business model of banks are significant drivers of systemic risk

how useful is the marginal expected shortfall for the measurement of systemic exposure a practical assessment abstract we explore the practical relevance from a supervisor s perspective of a popular market based indicator of the exposure of a financial institution to systemic risk the marginal expected shortfall mes the mes of an institution can be defined as its expected equity loss when the market itself is in its left tail we estimate the dynamic mes recently proposed by brownlees and engle 2012 for a panel of 68 large us banks over the last decade and a half running panel regressions of the mes on bank characteristics we first find that the mes can be roughly rationalized in terms of standard balance sheet indicators of bank financial soundness and systemic importance we then ask whether the cross section of the mes can help to identify ex ante i e before a crisis unfolds which institutions are more likely to suffer the most severe losses ex post i e once it has unfolded unfortunately using the 2007 2009 crisis as a natural experiment we find that some standard balance sheet ratios are better able than the mes to predict large equity losses conditionally to a true crisis

threshold arch models and asymmetries in volatility this paper attempts to enlarge the class of threshold heteroscedastic models tarch introduced by zakoian 1991a we show that it is possible to relax the positivity constraints on the parameters of the conditional variance unconstrained models provide a greater generality of the paths allowing for nonlinearities in the volatility cyclical behaviour is permitted as well as different relative impacts of positive and negative shocks on volatility depending on their size we give empirical evidence using french stock returns

protest responses in contingent valuation a significant number of respondents to contingent valuation surveys tend to either state a zero bid or refuse to state a bid at all for reasons associated with the process of valuation these protest responses are routinely removed from contingent valuation samples because it is assumed that they are not indicative of respondents true values the censoring of protest responses has led to the emergence of a definitional controversy one view is that the definition of protest responses and the rules for censoring them are dependent on whether the practitioner conceives of the contingent valuation survey as a market or as a referendum however what is not acknowledged is the possibility that protest responses and their meaning may vary according to the type of good being valued the elicitation format and the interaction between these elements and external factors this potential renders the development of unambiguous rules for censoring protest responses difficult moreover when willingness to pay is viewed as a behavioural intention it becomes important to determine what the responses actually mean this approach does not assume an interpretative position a priori against which the responses should be judged but seeks to inform an existing understanding which is inadequate

evaluating the validity of the dichotomous choice question format in contingent valuation hypothetical and actual cash willingness to pay wtp for an art print were elicited with dichotomous choice and open ended question formats comparing hypothetical and actual dichotomous choice responses using both a likelihood ratio test and the method of convolutions suggests we reject equality at the 0 05 but not the 0 01 level hypothetical wtp was roughly two times actual wtp with the dichotomous choice format there were no significant differences between the open ended and dichotomous choice question formats when both were used to estimate hypothetical wtp or both used to estimate actual wtp

functional form and the statistical properties of welfare measures this paper uses monte carlo analysis to compare the variance of consumer s surplus for several functional forms for demand although the semilog and linear forms fit the data well by statistical criteria the coefficients of variation for consumer s surplus generated by these forms were substantially larger than for the double log and linear log forms while this paper is framed in the travel cost approach to recreational demand there are implications for the choice of functional form whenever the measure of interest is a nonlinear transformation of the estimated parameters in an influential article ziemer musser and hill note the importance of the choice of functional form for the magnitude of estimated measures of welfare change in a study of the demand for a recreation site based on the travel cost model they report nearly a fourfold difference between consumer s surplus based on a linear demand curve and surplus computed from a semilog demand their research emphasizes that good estimates of demand may not yield good estimates of welfare the estimate of consumer s surplus is a

valuing public goods discrete versus continuous contingent valuation responses independent applications of open ended and dichotomous choice formats are compared using tests of means estimating joint likelihood functions and nonparametric tests of distributions the null hypothesis of no difference in the open ended and dichotomous choice estimates of central tendency cannot be rejected for two out of three data sets while estimated standard deviations are significantly different for all three data sets in addition actual dichotomous choice means and standard deviations exceed those from comparable synthetic dichotomous choice data sets suggesting either open ended questions underestimate values or dichotomous choice bid structures may lead to systematic overestimates

statistical approaches to the fat tail problem for dichotomous choice contingent valuation if a cumulative density function esti mated from dichotomous choice data has an unre alistically fat right hand tail mean willingness to pay wtp will be overestimated truncating the range of integration results in a lower bound esti mate of the true mean wtp a normalization pro cedure proposed by boyle welsh and bishop 1988 unnecessarily depresses the estimate further a new statistical approach is presented that allows a best guess estimate of mean wtp because this estimate involves extrapolation beyond the range of the data it tends to be highly variable jel q21

how relevant is volatility forecasting for financial risk management it depends if volatility fluctuates in a forecastable way volatility forecasts are useful for risk management hence the interest in volatility forecastability in the risk management literature volatility forecastability however varies with horizon and different horizons are relevant in different applications moreover existing assessments of volatility forecastability are plagued by the fact that they are joint assessments of volatility forecastability and an assumed model and the results can vary not only with the horizon but also with the assumed model to address this problem we develop a model free procedure for assessing volatility forecastability across horizons perhaps surprisingly we find that volatility forecastability decays quickly with horizon volatility forecastability although clearly of relevance for risk management at the short horizons relevant for say trading desk management may be much less important at longer horizons

risk models at risk the experience from the global financial crisis has raised serious concerns about the accuracy of standard risk measures as tools for the quantification of extreme downward risks a key reason for this is that risk measures are subject to a model risk due e g to specification and estimation uncertainty while regulators have proposed that financial institutions assess the model risk there is no accepted approach for computing such a risk we propose a remedy for this by a general framework for the computation of risk measures robust to model risk by empirically adjusting the imperfect risk forecasts by outcomes from backtesting frameworks considering the desirable quality of var models such as the frequency independence and magnitude of violations we also provide a fair comparison between the main risk models using the same metric that corresponds to model risk required corrections

the cross price effect on willingness to pay estimates in open ended contingent valuation abstract previous literature has shown that potential buyers use a reference price or product to form their opinion about the value of a new product therefore the pricing decision is an interactive process we investigate the two generalizations of the cross price effect the neighborhood price effect and the asymmetric price effect on consumer willingness to pay wtp for multiple similar products in an open ended contingent valuation context results show that the cross price effect on wtp is prominent with the neighborhood price effect holding in contingent valuation no conclusions are reached about the asymmetric price effect

market innovation competition an evolutionary model of industrial dynamics abstract a model is presented of the behavior of a number of competing firms producing functionally similar products each firm searches for new routines and new combinations of the routines i e technical and organizational ideas and skills associated with a particular economic context decisions of a firm related to investment modernization of production price etc are based on the firm s evaluation of the behavior of other competing firms and the expected response of the market firms search for new combinations of routines in order to minimize the unit cost of production maximize the productivity of capital and maximize the competitiveness of their products in the market results of simulation of the model concerning investigation of price setting procedures and long and short term firms objectives are presented