commodity price volatility and world market integration since 1700 abstract poor countries are more volatile than rich countries and this volatility impedes their growth furthermore commodity prices are a key source of that volatility this paper explores price volatility since 1700 to offer three stylized facts commodity price volatility has not increased over time commodities have always shown greater price volatility than manufactures and world market integration breeds less commodity price volatility thus economic isolation is associated with much greater commodity price volatility while world market integration is associated with less

information to guide policy responses to higher global food prices the data and analyses required abstract national decision makers must understand the degree to which their country and population groups within it are exposed to the negative effects of higher global food prices or could exploit new economic opportunities offered by higher prices this paper provides a conceptual overview of the range of data and analyses that will permit leaders and analysts serving them to assess the broad implications of higher global food prices for a country and its population groups what we find is that there are a relatively small number of types of policy responses that governments might take in the face of a food price rise consequently relatively well defined sets of data need to be compiled and types of analyses used by government to generate the information needed to broadly guide efforts to prevent food price increases from becoming crises and to derive any possible benefits international joint action can be employed profitably both to collect this data and to build national capacity to conduct the analyses needed to guide policy formulation and general program design in the face of the risks and the opportunities of higher food prices and to evaluate the effectiveness of those policy responses

the performance of nested logit models when welfare estimation is the goal in this paper we examine the performance of nested logit models in the face of two specification errors the first specification error arises when a nested logit model is appropriate but the wrong nesting structure is chosen the second specification error occurs when the underlying stochastic process is not consistent with nested logit particular attention is placed upon the impact that these errors can have on welfare predictions monte carlo experiments are used together with analytical results to examine the resulting bias to welfare estimates in addition we explore the value of alternative model selection criteria in choosing nesting structures

index investment and financialization of commodities the authors found that concurrent with the rapidly growing index investment in commodity markets since the early 2000s prices of non energy commodity futures in the united states have become incr

a repeated nested logit model of atlantic salmon fishing participation and site choice for atlantic salmon fishing are modeled in the context of a repeated three level nested logit model consumer s surplus measures are derived for different levels of species availability in the penobscot river the most important salmon river in new england for comparison six other travel cost models are estimated these include restrictive cases of the nested logit model a partial demand model and two single site demand models comparisons across these models indicate the importance of modeling the participation decision including income effects and of adopting a nested logit structure rather than a single level logit structure

index investment and the financialization of commodities the authors found that concurrent with the rapidly growing index investment in commodity markets since the early 2000s prices of non energy commodity futures in the united states have become increasingly correlated with oil prices this trend has been significantly more pronounced for commodities in two popular commodity indices this finding reflects the financialization of the commodity markets and helps explain the large increase in the price volatility of non energy commodities around 2008

motive opportunity choice and corporate illegality research on corporate illegality spans several distinct literatures and defies ready integration this article helps to overcome those problems analysis of data from 80 u s industrial organizations indicates that lower industry profitability is associated with higher frequencies of detected serious violations of federal environmental laws organizational profitability industry concentration organization size structural complexity organizational decentralization and ethical climate join this variable in statistical interactions also associated with detected instances of serious environmental violations however none of those variables are found to be associated with the incidence of detected nonserious violations these results provide qualified support for a model of corporate illegality in which illegal behaviors are attributable to the interactive effects of motive opportunity and choice they suggest that illegal corporate activities resist simple explanation and that future research on corporate illegality should concentrate on further development of multivariable models

monetary policy shocks and the dynamics of agricultural commodity prices evidence from structural and factor augmented var analyses fluctuation in commodity prices is a significant and timely issue to be studied this study is to examine the impact of monetary policy and other macroeconomic shocks on the dynamics of agricultural commodity prices the major contributions of this study are twofold first unlike other studies that use indexes this study analyzes the commodities individually affording the inclusion of commodity specific fundamentals such as the level of inventory an important determinant of commodity price in a structural var framework second it exploits a rich data set of agricultural commodity prices which includes commodities that are usually overlooked in the literature and extracts a common factor using the dynamic factor model to understand the extent of comovement of the prices and to gauge the extent to which macroeconomic shocks drive the comovement in a factor augmented var favar framework the findings show that monetary policy global economic conditions and the u s dollar exchange rates play an important role in the dynamics of agricultural commodity prices

choice set formation for outdoor destinations the role of motivations and preference discrimination in site selection for the management of public expenditures on protected areas effective public expenditure currently dominates the management focus of many protected areas this calls for explicit modeling of constraints and motivations that respectively obstruct and stimulate visits to selected outdoor destinations choice set formation is the result of screening and or inclusion of specific sites alternatives to form the set of sites considered in real choices evidence shows that the omission of a structural representation of choice set formation is harmful to econometric inference yet the literature has largely ignored the underlying behavioral phenomenon we show using a discrete choice experiment involving selection among seven recreational sites in an italian national park that choice set formation is behaviorally relevant even after controlling for preference discrimination motivations why visit are important determinants of preliminary site screening for choice set inclusion as well as site selection justifying the additional value of such modeling extension

inducing patterns of correlation and substitution in repeated logit models of recreation demand repeated logit models are among the most commonly applied methods for modeling seasonal recreation demand in this article we examine the capabilities of the repeated nested logit and repeated mixed logit models to capture patterns of error correlation and demand substitution particular attention is paid to the use of the mixed logit framework to generalize the strong assumptions on correlation patterns across sites and choice occasions imbedded in the nested logit model we examine the implications for the range of price elasticities allowed in both models based on the implied correlation structures copyright 2002 oxford university press

super cycles of commodity prices since the mid nineteenth century summary decomposition of real commodity prices suggests four super cycles during 1865 2010 ranging between 30 and 40 years with amplitudes 20 40 higher or lower than the long run trend non oil price super cycles follow world gdp indicating they are essentially demand determined causality runs in the opposite direction for oil prices the mean of each super cycle of non oil commodities is generally lower than for the previous cycle supporting the prebisch singer hypothesis tropical agriculture experienced the strongest and steepest long term downward trend through the twentieth century followed by non tropical agriculture and metals while real oil prices experienced a long term upward trend interrupted temporarily during the twentieth century

identifying monetary impacts on agricultural prices in var models since the mid 1970s a number of studies have used vector autoregressive var models to evaluate the magnitude and timing of macroeconomic impacts on agriculture use of the var method has been viewed as a way to obtain empirical evidence about these impacts that might not emerge from more traditional overidentified and less dynamic econometric models the hope has been that by placing minimal restrictions on var models the true structure of the economic relationships under investigation can be observed while the aim is laudable critics of var models have argued that it has had the unfortunate consequence of obscuring some important structural identification issues and seeming to promise that something can be obtained for nothing cooley and leroy leamer they point out that identifying restrictions are required to give economically interpretable meaning to the results of any simultaneous equation model sem in standard practice identification of var models is obtained implicitly by choice of a choleski decomposition of the covariance matrix of one step ahead forecast errors which is equivalent to imposing a recursive structure for the economy of concern is that the recursive structure may not be believable further as bernanke has observed examination of ad hoc variants of the recursive order implies a strange set of prior beliefs in which the analyst holds strongly that the system is recursive but is not sure in what order the variables should be arranged in response to these concerns several recent papers have pointed out that identification of var models does not have to rely on the assumption that the contemporaneous structure is recursive bernanke sims rather the distinguishing features of a var model are first that identification rests on the assumption that distinct mutually orthogonal behavior shocks drive the economy and second that lagged relationships among the endogenous and exogenous variables if any are left entirely unrestricted given these features a var model must be identified solely by restrictions placed on the contemporaneous interactions among the variables but the identifying restrictions do not have to preclude simultaneity in this paper we elaborate on the structural interpretation of var models and use this analysis to examine monetary impacts on agricultural prices we discuss the identification problem and the implications of a recursive structure we illustrate our points with respect to the three variable model of money industrial prices and agricultural prices that has been used in several articles to evaluate the effects of monetary shocks on price dynamics bessler devadoss and meyers we then introduce a somewhat richer behavioral model of the macroeconomy and its effects a simultaneous model is shown to offer a more believable identification of monetary policy and other macroeconomic shocks than a recursive model and monetary impacts on agricultural prices are assessed

china india and the commodity boom economic and environmental implications for low income countries the international role of china has risen steadily for two decades and has become even more important in the current global recession the growing supply of labour intensive manufactured exports from china has been accompanied by a huge expansion in its imports both of raw materials and of skill intensive manufactured parts and components this offshoring of intermediates production by a large labour abundant economy has economic and environmental implications for other developing economies more recently the rapid expansion of the indian economy and trade indicates that it too will soon exert similar effects on global markets we sketch a model showing how the growth of these developing country giants generates adjustment pressures on other developing economies we discuss in particular how differences in relative factor endowments of resource rich economies can produce quite different outcomes in the context of product fragmentation and expanding commodity trade we also explore the effects on production trade environment and prospects for future growth in resource rich economies particularly in the context of weak institutions and other market failures we illustrate these different impacts by considering the cases of indonesia malaysia and thailand and highlight implications for growth development and policy

the implications of model specification for welfare estimation in nested logit models nested logit models are increasingly being used to value environmental amenities the implications of nesting structure choice of estimator fiml or sequential and restrictions on parameters across nested groups on welfare estimates are examined these issues have received little previous attention model selection criteria that can be used to distinguish among the models are extended and applied additionally a simulation procedure is implemented to construct standard errors for the welfare measures

the enso effect and asymmetries in wheat price dynamics summary climate has historically played a critical role in the development of nations primarily due to its intrinsic linkage with agricultural production and prices this study examines one such relationship between the better known and most talked about climate anomaly el nino southern oscillation enso and the international prices of wheat one of the most produced and consumed grain cereals in the world the enso price relationship moreover is assumed to be characterized by nonlinear dynamics because of the known asymmetric nature of enso cycles as well as that of wheat prices this study applies a vector smooth transition autoregressive vstar modeling framework to monthly spot prices of wheat from the united states the european union australia canada and argentina as well as the sea surface temperature anomalies from the nino3 4 region which serves as a proxy for the enso variable results show that overall wheat prices tend to increase after la nina events and decrease after el nino events the regime dependent dynamics are apparent with more amplified price responses after la nina shocks and with more persistent price responses during the la nina conditions this is consistent with the economics of storage wherein shocks related to expected supply and demand are known to have a more pronounced effect in a low inventory regime findings of this study have strong implications for development economics as they point to an additional channel of adversity due to the enso related climate shocks moreover the enso induced price fluctuations are likely to affect the dynamics of international food and cash programs during extreme episodes of this climate anomaly

attribute causality in environmental choice modelling when selecting attributes in environmentalchoice modelling studies preference should begiven to those attributes that aredemand relevant policy relevant andmeasurable the use of these criteria willoften result in a short list of environmentalattributes of which some are causally related the inclusion of attributes that have a cause effect relationship may stimulate somerespondents to seek to understand the causalrelations among attributes in order to assigngreater meaning to the alternatives andpotentially simplify the decision makingprocess this may have implications for theweights they assign to each of the attributeswhen identifying the preferred alternatives and subsequently for the implicit prices and orwelfare estimates a test of the impact ofincluding an attribute that causesimpacts on ecosystem health as well as anattribute relating to ecosystem health effectson parameter estimates implicitprices and welfare estimates is conducted twoquestionnaires are developed one with the causal attribute included and one without acomparison of results indicates that when the causal attribute is included in the vector ofchoice attributes the implicit value of asingle endangered species falls by 34 per centwhilst no significant difference is detected inthe parameter estimates importantly however estimates of compensating surplus for a givenpolicy package do not differsignificantly across the two treatments thisimplies that to the extent that the inclusionof a causal attribute reduces the implicitprices for one or more of the effect attributes the associated loss in utility isapproximately offset by the utility nowassociated with the new attribute

a roller coaster ride an empirical investigation of the main drivers of the international wheat price over the last decade commodity prices have registered substantial booms and busts marked by extreme volatility wheat in particular one of the main nonoil commodities has registered a roller coaster in price levels which seems to be inconsistent with supply and demand fundamentals to acutely investigate the drivers of wheat prices and quantify their impact a vector error correction model vecm has been used the exogenous variables have been distinguished into four groups market specific factors broad macroeconomic determinants speculative components and weather variables the quadriangulation of the determinants will enable us to better understand the movements in wheat price and identify the specific role of each component the results show that a mix of factors are contributing to wheat price movements including speculation global demand and real effective exchange rate

the value of changes in deer season length an application of the nested multinomial logit model increasing deer populations can be controlled through manipulatingharvest limits or season length while such actions often result in benefitsto hunters both motorists and the agricultural sector also benefit as alower deer population leads to fewer incidences of harmful human deerencounters traditional recreation demand models are often employed toexamine the welfare implications of changes in daily hunting bag limits studies measuring the effects of changes in season length however arenoticeably absent from the literature this study uses a nested randomutility model to examine hunter choice over site and season selection toderive the values of changes in season length

parametric and semi nonparametric estimation of willingness to pay in the dichotomous choice contingent valuation framework standard procedures for extractingwillingness to pay wtp from dichotomouschoice cv questionnaires rely heavily uponparametric assumptions regarding thedistribution and form of wtp in the sampledpopulation however theory provides littleguidance regarding which parametricspecification to use and the resulting wtpestimates can be sensitive to the selectionsmade here we compare and contrast severalparametric and semi nonparametric estimatorsthat have been proposed in the literature examining the sensitivity of the resulting wtpestimates to the underlying distribution ofpreferences and the estimation procedureemployed

cattle as a consistently resilient agricultural commodity this study compares a range of agricultural commodities over periods of varying economic circumstances these commodities are examined over three categories including returns risk and contributi

a test of policy labels in environmental choice modelling studies abstract a question that arises in the application of environmental choice modelling cm studies is whether to present the choice sets in a generic or labelled form the former involves labelling the policy options to be presented to respondents in a generic way for example as option a option b etc the labelled approach assigns alternative specific descriptors to each option these may relate to the names of proposed policies different locations or any other policy relevant details both approaches have their advantages a potential advantage of using alternative specific labels is that respondents may be better able to base their choices on the true policy context this can increase predictive validity whilst at the same time reducing the cognitive burden of the cm exercise a potential advantage of the generic labelling approach is that respondents may be less inclined to base their choices wholly or largely on the labels and as a consequence may provide better information regarding trade offs among attributes the two approaches to choice set design are compared in the context of a cm study of the values of remnant vegetation in the desert uplands of central queensland results indicate a difference in the cognitive processes generated by choice models using the different approaches this difference is reflected in both the alternative specific constants and the taste parameters and cannot be accounted for by differences in error variance across the two treatments the implications for environmental valuation are discussed

modeling overnight recreation trip choice application of a repeated nested multinomial logit model in this paper we apply the repeated nested multinomial logit model a version of a random utility model rum to estimate the choice of an overnight versus single day recreation trip along with the other usual choice of which of the sites to visit and less typically the choice of whether to participate in our application to fish at all we also find statistically significant income effects in the empirical results the application is to atlantic salmon fishing and the data set is for maine resident angler s fishing trips to rivers in maine and canada

how wrong can you be implications of incorrect utility function specification for welfare measurement in choice experiments despite the vital role of the utility function in welfare measurement the implications of working with incorrect utility specifications have been largely neglected in the choice experiments literature this paper addresses the importance of specification with a special emphasis on the effects of mistaken assumptions about the marginal utility of income monte carlo experiments were conducted using different functional forms of utility to generate simulated choices multi nomial logit and mixed logit models were then estimated on these choices under correct and incorrect assumptions about the true underlying utility function estimated willingness to pay measures from these choice modeling results are then compared with the equivalent measures directly calculated from the true utility specifications results show that for the parameter values and functional forms considered a continuous quadratic or a discrete linear attribute specification is a good option regardless of the true effects the attribute has on utility we also find that mistaken assumptions about preferences over costs magnify attribute mis specification effects

the demand for local telephone service a fully discrete model of residential calling patterns and service choices we present an empirical model of households choices among local telephone service options for example between flat rate and measured service and the interrelation of these choices with the number and average duration of local calls households make at each time of day to each geographical zone using a nested logit model with estimation performed on a randomly selected subset of the households calling patterns we calculate elasticities of demand for each local service option number of calls average duration and revenues with respect to the fixed monthly charges and the usage charges for calling under each option we find moderate price elasticities of number of calls with respect to usage charges for households subscribing to measured service nevertheless raising usage charges has a negligible effect on revenues since a sufficient number of households either originally subscribe to flat rate service or convert to flat rate service in response to higher usage charges we find a high elasticity of demandfor each service option with respect to itsfixed monthlyfee this indicates high substitutability among service options the shift among service options induces new calling patterns which wefind to be a small but not negligible indirect effect e most telephone operating companies offer residential customers several options for local service there are two general categories of service flat rate service under which a household can for a fixed monthly charge make an unlimited number of calls within a specified geographical area and measured service for which the household pays a lower fixed monthly fee but can make only a specified number or dollar value of calls at no extra charge after which charges are incurred for additional calls various flat rate services differ in the size of the geographical area in which calling is at no extra charge with higher monthly fees for larger areas measured services differ with respect to the threshold number or dollar value of calls beyond which the customer is charged

the impact of exchange rates and developing country debt on commodity prices a major feature of the international economy over the past decade has been the swings in the value of the us dollar the dollar fell to a historically low level in the late i970s but rose sharply over the period i982 4 by the beginning of i985 the dollar was generally considered to be over valued by between 2o and 40 since i985 there has been a depreciation of over one third these wide fluctuations in the value of the dollar have had implications for all major traded goods this paper focuses on the effects of changes in the value of the dollar on primary commodity prices and possible interactions between ldc indebtedness and these effects a rise fall in the value of the dollar must be expected to result in a fall rise in dollar commodity prices ridler and yandle i972 proposed a simple comparative static single commodity model to analyse the effects of exchange rate changes on the price of an individual primary commodity they showed that the commodity price change would be given by the change in an appropriately weighted exchange rate index write the price of commodityj as

how does petroleum price and corn yield volatility affect ethanol markets with and without an ethanol use mandate the recent increase in ethanol use in the us strengthens and changes the nature of links between agricultural and energy markets here we explore the interaction of market volatility and the scope for policy to affect this interaction with a focus on how corn yields and petroleum prices affect ethanol prices mandates associated with new us energy legislation may intervene in these links in the medium term future we simulate stochastically a structural model that represents these markets and that includes mandates in order to assess how shocks to corn or oil markets can affect ethanol price and use we estimate that the mandate makes ethanol producer prices more sensitive to corn yields and less sensitive to changes in petroleum prices overall we note a discontinuity in these links that is caused by the mandate ethanol use can exceed the mandate if petroleum prices and corn yields are high enough but the mandate limits downside adjustments in ethanol use to low petroleum prices or corn yields

a tale of two tails explaining extreme events in financialized agricultural markets the substantial booms and busts in agricultural prices marked by extreme events across commodities lead to heated debates about the effects of speculative trading on commodity price fluctuations this study proposes a new approach to understanding extreme events and boom bust processes in agricultural markets using weekly futures data for twelve indexed agricultural commodities during 2006 to 2016 we find that extreme price changes located in the 10 tails of the distribution cluster across agricultural markets we then implement a multinomial logit model to investigate which factors are associated with the propagation of extreme events specifically we disentangle three transmission conduits 1 the macroeconomic conduit captures the possibility that the synchronized extreme price events are generated by business cycle driven demand shifts mainly in emerging economies 2 the financial conduit refers to potential links between extreme returns and the increasing flow of money from financial participants into agricultural futures markets 3 finally the energy conduit accounts for possible spillover effects due to oil price shocks our results indicate an important role of managed money positions and oil prices while the real demand channel remains mostly insignificant

narrow choice sets in a random utility model of recreation demand we consider the implications of narrow choice sets on welfare estimation in a random utility model of recreation demand we hypothesize that careful formulation of the choice set focusing on the sites of policy interest and their closest substitutes will give reasonably accurate welfare estimates we use nearby sites as close substitutes and treat more distant sites as aggregate alternatives in our application to fishing in maine we find that the welfare estimates are rather sensitive to narrowing choice sets in this manner the sensitivity largely tracts variation in the estimated travel cost coefficient across the different models considered