modeling skewness with the linear stochastic plateau model to determine optimal nitrogen rates accurate modeling of skewness is needed to increase the actuarial fairness of crop insurance we test day s conjecture that crop yield skewness becomes negative as nitrogen rates increase and determine how well a linear response stochastic plateau lrsp production function matches the pattern of observed skewness using four long term nitrogen experiments stillwater wheat is consistent with day s conjecture but the skewness for lahoma and altus wheat yields as well as altus cotton yields are not the lrsp assumes normal random effects and can explain only a small part of observed skewness so a new lrsp with skew normal random effects is introduced which comes closer to explaining the observed skewness and should increase the accuracy of nitrogen rate recommendations negative skewness reduced optimal nitrogen rates and positive skewness increased optimal nitrogen rates

modeling farm level crop insurance demand with panel data a random effects binomial probit model is applied to data for a panel of kansas wheat farms to examine multiple peril crop insurance demand a theoretical model is developed which suggests inclusion of the moments of both market return and the return to insurance empirical results indicate that the first and second moments of both market return and the returns to insurance are significant the price elasticity of demand is estimated to be 0 65 preseason weather variables when included in the models were not found to be significant failing to support the hypothesis of intertemporal adverse selection

hot stuff index insurance for indian pepper growers summary we simulate the impact of a joint price and yield index insurance on the basis of a small representative panel data set of indian smallholder pepper growers affordable and feasible index insurance reduces crop revenue risk to around 68 of its original level while a reduction to 50 of this level can be achieved with ideal insurance basis risk is large for only a small fraction of farm households depending on risk aversion 5 30 of farm households is willing to pay for index insurance increasing to 12 50 with a 50 premium reduction opportunity costs of consumption smoothing in the form of lower productivity levels suggest potential welfare gains of specialization with insurance

designing and rating an area yield crop insurance contract this article documents the design and rate making procedures used in the development of the group risk plan grp the new federal crop insurance product that insures based on area yield the authors of this article worked closely with personnel in the federal crop insurance corporation and others in developing methodological and practical constraints needed in implementing a workable area yield contract grp indemnity payments are made based on percentage shortfalls in actual county yields relative to a forecasted yield historical county yield data are used to develop forecasted yields and premium rates

constrained efficient contracts for area yield crop insurance with area yield crop insurance indemnification occurs when area yield falls below a yield trigger that is chosen by the producer the maximum value for this yield trigger is generally restricted e g 80 of the long term area average yield the impact of this trigger constraint on the optimal design of an area yield insurance contract is examined within the constrained efficient contract indemnities consist of both a lump sum payment and a payment that is proportional to the yield shortfall because lump sum payments may not be feasible to implement efficiency enhancing modifications to standard contracts are also proposed copyright 2000 oxford university press

the trade effects of the eu turkey customs union in the present study we argue that the salient features of both the eu 15 countries and turkey are conducive to making the effects of the 1995 eu turkey customs union asymmetric among the incumbent eu countries in order to support our argument we rely on a model in which trade involves the exchange of vertically differentiated products this model generates the prediction that the more contiguous an incumbent country is to the joining country in terms of technological sophistication the larger will be the crowding out of this country s exports to the other incumbent countries as a result of the cu expansion using a gravity model we estimate the effects of the customs union between turkey and the eu 15 by differentiating between exports from a lower technology eu 15 countries we term this group of countries south to higher technology eu 15 countries the north b north to south c south to turkey d north to turkey and e turkey to eu 15 our econometric results indicate that in contrast to north s exports to the other eu 15 countries which have remained intact the southern countries exports to the other eu 15 countries have declined as a result of the cu moreover the extra penetration of the turkish market by the eu 15 countries has not been more favourable to the southern group

does market competitiveness significantly affect public intervention in agricultural insurance the case in italy analyses of agricultural insurance failures often assume the existence of competitive supply tracing the reasons for high insurance cost and limited farmer participation to informational problems and suggesting the need for premium subsidization in order to increase participation however in countries such as spain and italy where agricultural insurance is most highly subsidized it could be that supply is not fully competitive in this article we explore the incidence of public subsidies to agricultural insurance premia when supply is noncompetitive through the use of a simple empirical model of an insurance market it is shown that while in the case of a competitive supply subsidies to insurance would benefit farmers a monopolistic supply would capture most of the subsidy thus eliminating the potential incentive towards wider participation by farmers the model is applied to a panel of italian farms for different levels of risk aversion to demonstrate the limited effect that a subsidy to a hyp

input demand under yield and revenue insurance previous studies disagree on the effects of insurance on fertilizer application rates the effect of increased fertilizer on the probability of low yields primarily determines whether fertilizer and insurance are substitutes or complements we estimate conditional distributions of corn yields to determine if the technical relationship between yields and fertilizer supports the hypothesis that insurance increases optimal application rates our results indicate no support for this hypothesis at all nitrogen fertilizer rates and reasonable levels of risk aversion nitrogen fertilizer and insurance are substitutes suggesting that those who purchase insurance are likely to decrease nitrogen fertilizer applications

modeling conditional yield densities given the increasing interest in agricultural risk many have sought improved methods to characterize conditional crop yield densities while most have postulated the beta as a flexible alternative to the normal others have chosen nonparametric methods unfortunately yield data tends not to be sufficiently abundant to invalidate many reasonable parametric models this is problematic because conclusions from economic analyses which require estimated conditional yield densities tend not to be invariant to the modeling assumption we propose a semiparametric estimator that because of its theoretical properties and our simulation results enables one to empirically proceed with a higher degree of confidence copyright 2003 oxford university press

optimum area yield crop insurance cet article determine le contrat optimal d assurance dont l indemnite depend du rendement agrege sur recoltes d un bassin de production le schema optimal d assurance est base sur le coefficient individuel de regression qui mesure la sensibilite du rendement agrege a des variations du rendement agrege une indemnite est versee lorsque le rendement agrege est inferieur superieur a un rendement critique si le coefficient de regression est positif negatif le contrat optimal contient une franchise evanescente si le coefficient de regression est superieur a l unite

poverty traps and index based risk transfer products summary a growing literature suggests that in low income countries households with few assets can be trapped in chronic poverty this article reviews relevant threads of the poverty traps literature to motivate a description of the opportunities presented by innovative index based risk transfer products these products can be used to address some insurance and credit market failures that contribute to the persistence of poverty among households in low income countries applications are considered at the micro meso and macro levels 2008 elsevier ltd all rights reserved

estimating the demand for a new technology bt cotton and insecticide policies this article examines the potential demand for bt cotton in the southeast from information gathered in the first year of commercialization we combine revealed preference rp data on adoption of bt cotton varieties with stated preference sp data on willingness to adopt to estimate demand using a double bounded maximum likelihood procedure using estimated demand equations we simulate the costs of reducing conventional insecticide applications through subsidization of bt cotton results indicate that reducing cotton insecticide applications by 40 in the southeast would require a 21 acre subsidy with total annual program costs between 53 million and 60 million

a century of research on agricultural markets this article provides a perspective on major innovations in research on agricultural markets over the past century we review research on market structure and performance vertical coordination arrangements and institutions for producer collective action contributions to empirical modeling of agricultural price determination and marketing margins are also evaluated as are innovations in research on spatial market relationships and the role of storage finally we discuss contributions to understanding market information systems and the functioning of market based mechanisms for agri

marketing quotas and random yields marginal effects of inframarginal subsidies on peanut supply the u s peanut program restricts domestic sales with poundage quota but allows surplus production to be exported or crushed empirical analysis of north carolina peanut production reveals that the marginal and lower price received by production above quota that is the world price is far more important in determining acreage than is the inframarginal subsidy of the quota support price

are u s corn and soybeans becoming more drought tolerant an objective drought index that measures the dry and hot conditions adversely affecting crop yields is used in a regression analysis to test whether corn and soybeans have become more drought tolerant results indicate that corn yield losses whether measured in quantity terms or as a percentage of mean yield have decreased the null hypothesis that the absolute level of soybean yield losses due to drought has not changed cannot be rejected but yield losses in percentage terms have decreased over time because drought is the primary cause of yield loss in the u s crop insurance program and because u s crop insurance rates assume that percentage of yield losses are constant over time these results indicate that u s crop insurance rates in the corn belt are too high

impact of copula choice on the modeling of crop yield basis risk a number of problems in agricultural economics involve modeling joint distributions for which the assumption of multivariate normality may not be warranted yet very little work has been conducted evaluating competing methods for modeling joint dependence we develop a simulation framework to evaluate the bias and efficiency impacts of copula choice in the context of evaluating county to farm basis risk the results suggest significant differences in performance across various copulas and approaches the findings have important implications for risk analysis insurance and policy modeling problems in agriculture regarding the selection of method to model dependence among random variables

crop yield skewness under law of the minimum technology no satisfactory motivation has been forwarded in favor of any crop yield distribution including the normal this article explores the foundations of yield distributions for the law of the minimum resource constraint technology at the plot level of analysis with independent identical uniform resource availability distributions the yield skew is positive whereas it is negative whenever the distributions are normal simulations show how asymmetries in resource availabilities determine skewness it is suggested that a negative yield skew occurs whenever production is tightly controlled so that the left tails of some resources availabilities distributions are thin irrigation may increase yield skewness copyright 2009 oxford university press

are crop yields normally distributed the evidence for nonnormality of crop yields is reassessed three methodological problems are identified in typical yield distribution analyses i misspecification of the nonrandom components of yield distributions ii missreporting of statistical significance and iii use of aggregate timeseries ats data to represent farm level yield distributions one or more of these problems infect virtually all evidence against normality to date the positive contribution of the article is a set of principles that must be followed in any valid investigation of yield normality

aggregation in area yield crop insurance the linear additive model previous analyses of area yield crop insurance have used a linear additive model lam to express the relationship between individual and area yield however the theoretical foundations of the lam are unknown this shortcoming is addressed by establishing two conditions linking microvariables and lam parameters the conditions relate to the interaction of risks in individual technologies and the extent of aggregation if systemic and individual risks are additive in individual yields and if the law of large numbers hold then the lam obtains this article also shows how departures from these conditions affect the results derived from a lam analysis a classic issue in agricultural economics is the design of schemes that would offer insurance against risks in agriculture the experience with conventional crop insurance has been disappointing as insurers have struggled to obtain reliable actuarial data on individual yields skees black and barnett the primary attraction of area yield insurance schemes is that insurers do not have to contend with the informational problems of moral hazard and adverse selection halcrow these problems can be dismissed because indemnities and premiums are based not on a producer s individual yield but rather on the aggregate yield of a surrounding geographical area however the key question is how adequate are aggregate yield instruments for reducing the risks faced by producers to address this question previous studies have expressed individual yields as a linear stochastic function of area yield mahul miranda vercammen the approach has been to use the form of a linear regression model where the dependent variable is the yield of an individual producer the only independent variable is area yield and the additive random error term measures omitted individual specific factors uncorrelated with area yield thus the model decomposes variations in individual yield in to variations in area yield that represent systemic risk and bharat ramaswami is senior economist in the indian statistical

parametric and nonparametric statistical modelling of crop yield implications for pricing crop insurance contracts this article considers alternative methods to calculate the fair premium rate of crop insurance contracts based on county yields the premium rate was calculated using parametric and nonparametric approaches to estimate the conditional agricultural yield density these methods were applied to a data set of county yield provided by the statistical and geography brazilian institute ibge for the period of 1990 through 2002 for soybean corn and wheat in the state of parana in this article we propose methodological alternatives to pricing crop insurance contracts resulting in more accurate premium rates in a situation of limited data

the effects of crop yield insurance designs on farmer participation and welfare the performance of individual farm yield and area yield crop insurance programs is evaluated for a representative iowa corn farm using numerical optimization of expected utility and simulation techniques several different contract design features are studied including the nature of the yield index which triggers insurance payouts alternative restrictions on coverage levels and alternative pricing structures performance is evaluated in terms of impacts on farmer participation and welfare and is examined in a portfolio setting where futures and options are also available to farmers the relative performance of different crop insurance designs is found to be particularly sensitive to restrictions on coverage levels the size of premium loadings and the degree to which individual farm yields are correlated with area yields

on turkey s trade policy is a customs union with europe enough abstract turkey has decided to harmonize its tarification structure with that of the european union for the country s authorities this move to a customs union is only meant to be the first step toward integration in the european union there are signs however that political opposition to the government s procompetitive stance may be strong enough to block any further move toward fuller trade liberalization we show using applied intertemporal ge analysis that to be welfare improving the trade reform would have to be pursued further and nontariff barriers on european trade removed failure to do so could be more detrimental to domestic welfare than no reform at all

crop insurance valuation under alternative yield distributions considerable disagreement exists about the most appropriate characterization of farm level yield distributions yet the economic importance of alternative yield distribution specifications on crop insurance valuation has not been well documented the results of this study demonstrate that large differences in expected payouts from popular crop insurance products can arise solely from the parameterization chosen to represent yield distributions the results suggest that the frequently unexamined yield distribution specification may lead to economically significant errors in crop insurance policy rating and assessment of expected payouts from policies

crop insurance in a political economy an alternative perspective on agricultural policy lawmakers often subsidize farmers in times of financial distress this article models this political impulse as a constraint on government farm policy describing how ex ante government farm insurance can deter ex post disaster relief and improve production incentives by countering the moral hazard that otherwise prevails absent ex ante government policy ex post relief takes the form of revenue insurance which prompts excessive entry into farm production and under production by operating farmers ex ante government policy can raise economic and political welfare by buying out low productivity farmers and offering profitable farmers a combination of revenue insurance price supports and a program participation fee copyright 2003 oxford university press

an empirical analysis of the demand for multiple peril crop insurance knowledge of factors affecting farmer purchases of crop insurance is essential for evaluating the soundness and profitability of crop insurance programs despite this importance the demand for crop insurance has received limited empirical attention the present paper reports on an empirical assessment of the demand for crop insurance by iowa corn producers adverse selection in the insured pool suggests that producers with differing levels of loss risk have different demand elasticities loss risk is included in the empirical analysis and is found to influence the elasticity of demand results show average demand elasticities of about 0 32 for relative insured acres and 0 73 for liability per planted acre implications for the actuarial soundness of the industry are provided

are crop yields normally distributed a reexamination this article demonstrates that normality test procedures that include individual detrending of short term panel data can severely reduce the power of normality tests and strongly bias normality tests in a type ii direction an alternative error component implicit detrending procedure is suggested that demonstrates higher power for the distributions examined both procedures are applied to a large data set with normality of yield residuals being rejected assuming normality is shown to reduce potential premium rates for a large number of producers in an existing crop insurance product

coping with systemic risk in index based crop insurance the implementation of index based crop insurance is often impeded by the existence of systemic risk of insured losses we assess the effectiveness of two strategies for coping with systemic risk regional diversification and securitization with catastrophe cat bonds the analysis is conducted in an equilibrium pricing framework which allows the optimal price of the insurance and the number of traded contracts to be determined we also explore the role of basis risk and risk aversion of market agents the model is applied to a hypothetical area yield insurance for rice producers in northeast china if yields in two regions are positively correlated we find that enlarging the insured area leads to higher insurance premiums unless capital market investors are very risk averse a cat bond written on an area yield index outperforms regional diversification in terms of certainty equivalents of both farmers and insurers

asymmetry partial moments and production risk partial moment functions are proposed as a flexible way to characterize and estimate asymmetric effects of inputs on output distributions methods for econometric estimation of partial moment functions and tests for input symmetry and location scale distributions are presented a monte carlo study demonstrates properties of proposed tests a study of ecuadorian potato production illustrates the methods hypotheses of input symmetry and location scale are rejected a risk value model based on partial moments implies that fertilizer is risk increasing and fungicides and labor are risk reducing in potato production whereas an expected utility model based on full moments has the opposite implications

vertical and horizontal intra industry trade a cross industry analysis for the united kingdom a large theoretical literature has emerged directed at explaining the presence of intra industry trade iit one of the distinctions which comes out of these models is that between horizontal iit where goods are differentiated by attributes and vertical iit where goods are differentiated by quality in this paper horizontal and vertical iit in u k trade are disentangled using a unit value dispersion criterion and a range of industry characteristics the paper not only points up the relative importance of vertical and horizontal iit in the united kingdom it also demonstrates how a failure to separate them out can impact on the interpretation of empirical results copyright 1995 by royal economic society

nonparametric estimation of crop yield distributions implications for rating group risk crop insurance contracts we use nonparametric density estimation procedures to evaluate county level crop yield distributions implications for rating area yield crop insurance contracts are discussed the procedures developed are used to measure yield risk and calculate insurance premium rates for wheat and barley in the 1995 96 group risk program

more than mean effects modeling the effect of climate on the higher order moments of crop yields this article proposes the use of moment functions and maximum entropy techniques as a flexible approach for estimating conditional crop yield distributions we present a moment based model that extends previous approaches and is easily estimated using standard econometric estimators predicted moments under alternative regimes are used as constraints in a maximum entropy framework to analyze the distributional impacts of switching regimes an empirical application for arkansas mississippi and texas upland cotton demonstrates how climate and irrigation affect the shape of the yield distribution and allows us to illustrate several advantages of our moment based maximum entropy approach

climate and agricultural risk measuring the effect of enso on u s crop insurance predictive models of climatic phenomena can aid in insurance program design and decision making extreme weather outcomes have been linked to the el nino southern oscillation enso which globally impacts agricultural production this study demonstrates that extreme enso events alter cotton yield distributions in the southeastern united states these impacts translate into economically meaningful effects on crop insurance premium rates commercial insurers can use publicly available information to determine if government set premium rates are mispriced and in turn extract economic rents via the federally mandated standard reinsurance agreement by ceding underpriced policies in el nino and la nina years we find that private insurance companies can reduce paid indemnities by 10 15 on average

has european customs union agreement really affected turkey s trade the numerous discussions regarding the advantages and disadvantages of turkey s becoming a member of the customs union has been inconclusive the empirical analysis that mostly focus on the changes in the volume of trade without much regard to the conjectural changes have also been insufficient this study attempts to shed light on this issue in a formal analysis of turkey s international trade by empirically accounting for the changes before and after the customs union agreement cua in doing so we explicitly account for the concurrent changes in the macroeconomic environment that may have affected turkey s trade with the rest of the world our empirical findings indicate that cua has not only positively impacted on turkey s trade but also led to changes in the behaviour of both exports and imports with regards to their responsiveness to underlying variables

a model of the international monetary system we propose a simple model of the international monetary system we study the world supply and demand for reserve assets denominated in different currencies under a variety of scenarios a hegemon vs a multipolar world abundant vs scarce reserve assets a gold exchange standard vs a floating rate system we rationalize the triffin dilemma which posits the fundamental instability of the system as well as the common prediction regarding the natural and beneficial emergence of a multipolar world the nurkse warning that a multipolar world is more unstable than a hegemon world and the keynesian argument that a scarcity of reserve assets under a gold standard or at the zero lower bound is recessionary our analysis is both positive and normative

warming temperatures will likely induce higher premium rates and government outlays for the u s crop insurance program likely climate change impacts include damages to agricultural production resulting from increased exposure to extreme heat considerable uncertainty remains regarding impacts on crop insurance programs we utilize a panel of u s corn yield data to predict the effect of warming temperatures on the mean and variance of yields as well as crop insurance premium rates and producer subsidies while we focus on corn we demonstrate that the subsidy impacts are likely to carry over to other major program crops we find that warming decreases mean yields and increases yield risk on average which results in higher premium rates under a 1 c warming scenario we find that premium rates at the 90 coverage level will increase by 39 on average however there is considerable statistical uncertainty around this average as the 95 confidence interval spans from 22 to 61 we also find evidence of extensive cross sectional differences as the county level rate impacts range from a 10 reduction to a 63 increase results indicate that exposure to extreme heat and changes in the coefficient of variation are large drivers of the impacts under the 1 c warming scenario we find that annual subsidy payments for the crop insurance program could increase by as much as 1 5 billion representing a 22 increase relative to current levels this estimate increases to 3 7 billion 57 under a 2 c warming scenario our results correspond to a very specific counterfactual the marginal effect of warming temperatures under current technology production and crop insurance enrollments these impacts are shown to be smaller than the forecasted impacts under a commonly used end of century general circulation model for even the most optimistic co emissions projection

optimal area yield crop insurance reconsidered the implementability of area yield insurance contracts in the presence of symmetric and asymmetric information about the farmer s beta linking his yield to the risk pool s yield is examined in the presence of fixed costs and symmetric information mahul s result that optimality requires setting the slope of the indemnity schedule equal to each farmer s beta is confirmed when there is asymmetric information between the insurer and the farmer however this full insurance contract is vulnerable to adverse selection and therefore may not be implementable for general cost structures the optimal area yield insurance contract under asymmetric information is characterized

the planting real option in cash rent valuation after entering into a farmland cash rent contract in the fall a tenant farmer has flexibility over the spring crop choice and the input application level failure to account for these options will bias estimates of what farmers should pay to rent land applying monte carlo simulation methods this study investigates the option values for these choices a multivariate gaussian copula mgc is employed to account for dependence among yields and prices results show that the average cash rent valuation for the real option approach is 33 6 higher than that for the conventional net present value npv method in which the input intensity option is 0 9 crop planting sequence is shown to impact the real option value

budgetary and producer welfare effects of revenue insurance legislation passed in 1996 changed the way the u s federal government acts to reduce risks faced by u s crop products the authors compare the new alternative forms of revenue insurance to the 1990 deficiency payment program and to a no program alternative they estimate the effects of the alternative polices on the acreage allocations of a representative farm on the expected government cost and on producer welfare simulation results indicate that a revenue insurance scheme that guarantees 75 percent of expected revenue to risk averse produced could provide approximately the same level of benefits as the 1990 program at as little as one fourth the cost

nonparametric regression techniques in economics this introduction to nonparametric regression emphasizes techniques that might be most accessible and useful to the applied economist the paper begins with a brief overview of the class of models under study and central theoretical issues such as the curse of dimensionality the bias variance trade off and rates of convergence the paper then focuses on kernel and nonparametric least squares estimation of the nonparametric regression model and optimal differencing estimation of the partial linear model constrained estimation and hypothesis testing is also discussed empirical examples include returns to scale in electricity distribution and hedonic pricing of housing attributes

is there a viable market for area based crop insurance the performance of area yield insurance and farm level multiple peril crop insurance is analyzed for cotton and soybean production in georgia and south carolina the analysis improves on many previous studies by utilizing actual farm level yield data and by comparing the two types of insurance products not only for actuarially fair premium rates but also for actual unsubsidized and subsidized premium rates results suggest that even in heterogeneous production regions area yield insurance may be a viable alternative to farm level insurance when premium rates for farm level insurance contain large positive wedges

optimal insurance against climatic experience an optimal insurance contract against a climatic risk is derived in the presence of an uninsurable and dependent aggregate production risk the optimaldesign depends on the stochastic dependency between both sources of uncertainty and on the producer s attitude towards risk especially on his prudent behavior rationalweather insurance purchasing decisions are al so derived the prudent producer responds to actuarially fair weather insurance by increasing his exposure towards risk the u s multiple peril crop insurance program in which indemnity payments are based on the producer s individualyiel ds has been disappointing in that premiums have not been sufficient to cover indemnity payments and administrative costs this failure has induced the u s government to promote alternative insurance policies since 1993 the risk management agency has offered areayield contracts under its group risk plan in selected counties skees black and barnett another alternative is to base the indemnity on a weather index such as rainfall or temperature this policy was proposed in the past by sanderson but has failed to gain acceptance among policy makers the difficulties of rainfall insurance were a subject of debate in australia e g bardsley abey and davenport quiggin 1986 patrick the recent development of weather based instruments on financialmarkets known as weather derivatives for which the payoff depends on the cause of risk rather than on its effect on yield provide new opportunities for covering exposure to unfavorable weather events the objective of this article is threefold first a stochastic production function affected by a climatic risk and by an aggregate production risk where both sources of risk are stochastically dependent is de

financial intermediation international risk sharing and reserve currencies abstract i model the equilibrium risk sharing between countries with varying financial development the most financially developed country takes greater risks because its financial intermediaries deal with funding problems better in good times the more financially developed country consumes more and runs a trade deficit financed by the higher financial income that it earns as compensation for taking greater risk during global crises it suffers heavier losses its currency emerges as the reserve currency because it appreciates during crises thus providing a good hedge i provide evidence that financial net worth plays a crucial role in understanding this asymmetric risk sharing jel e44 f14 f32 g01 g15 g21

a generalized design for bilateral trade flow models abstract this paper suggests a full interaction effects design to analyze bilateral trade flows this is illustrated with an unbalanced panel of bilateral trade between the triad eu15 usa and japan economies and their 57 most important trading partners over the period 1986 1997 our full interaction model finds empirical support for the new trade theory and linder s hypothesis we show that the omission of one or more interaction effects can result in biased estimates and misleading inference

valuing agricultural insurance this paper proposes a method for estimating a farmer s stochastic discount factor that is independent of his or her risk preferences and shows that that stochastic discount factor is appropriate for calculating a farmer s willingness to pay for a crop insurance product an empirical example illustrates how production and price data might be combined with returns data to permit econometric estimation of the stochastic discount factor and the implications of those illustrative results are briefly discussed

nonparametric estimation of crop insurance rates revisited with the crop insurance program becoming the cornerstone of u s agricultural policy recovering accurate rates is of paramount interest lack of yield data presents by far the most fundamental obstacle to recovery of accurate rates thisarticle employsnew methodology to estimate conditional yield densities and derive the insurance rates in our application we find the nonparametric kernel density estimator requires an additional twenty six years of yield data to estimate the shape of the conditional yield dens itiesasaccurately asthe recently developed empirical bayesnonparametric kernel density estimator such methodological improvements can significantly aid in ameliorating the data problem recovering accurate premium ratesis paramount to the actuarial soundness of the crop insurance program a program which hasgained prominence in the overall u s agricultural policy agenda the 1996 federal agricultural improvement and reform fair act signaled a new policy environment under which farmerswould be s to market forces under this policy regime crop insurance remains in some respects one of the only government subsidized income stabilizing mechanisms available to agricultural producers in addition it appears that current political forcesare in the proces sof fashioning crop insurance as the cornerstone of u s agricultural policy consider the 1999 state of the union address in which the president stated

safe u s assets and u s capital flows abstract the exorbitant privilege of the u s the ability of the u s to earn positive net income on its international portfolio even though it is a net debtor may be linked to the convenience yield on u s government bonds the convenience yield refers to the low pecuniary return on u s treasuries associated with the non pecuniary yield on those assets arising from their liquidity and safety a simple model shows how the convenience yield can lead to current account deficits an appreciated currency in real terms and positive net factor income empirically we find evidence associating the convenience yield with a strong dollar in real terms and in turn evidence linking the real exchange rate to the u s current account we calculate that this channel may account for approximately 40 of the u s current account deficit we then discuss factors that might influence the convenience yield and discuss possible drawbacks to the exorbitant privilege

a role for capital markets in natural disasters a piece of the food security puzzle abstract natural disaster can create significant shocks in food supplies for small country states these events are very disruptive to the development process market based means for managing natural disaster risk are emerging for example despite the failure of government subsidized crop insurance around the world it is now possible to create index based contracts that would trigger when events that create serious crop failure problems occur this paper investigates the logic for such contracts and some basic designs using measures of rainfall

investigating the performance of different estimation techniques for crop yield data analysis in crop insurance applications we investigate the performance of the ordinary least squares ols m mm and the theil sen ts estimator for crop yield data analysis in crop insurance applications using monte carlo simulations more specifically the performance is assessed with respect to trend estimation prediction of future yield levels and the estimation of expected indemnity payments in agreement with earlier findings other estimators are found to be superior to ols in simple regression problems if yield distributions are outlier contaminated and heteroscedastic while this conclusion is also valid for subsequent applications such as yield prediction and the estimation of expected indemnity payments the difference between the considered estimators becomes less distinct for these applications we find particularly the m estimator to be a good compromise between high breakdown very robust estimators and the very efficient ols estimator because no regression technique dominates all others in all applications and scenarios for error term distributions our results underline that the choice of the estimation technique should be dependent on the purpose of the crop yield data analysis however alternative estimators such as m mm and ts estimator can reduce and bound the risk of unreliable or inefficient crop yield data analysis in crop insurance applications

inequality and the us import demand function in this paper we build a model of trade in vertically differentiated products and find that income inequality can affect the demand for imports even in the presence of homothetic preferences the empirical importance of changes in inequality on the demand for imports is then assessed by examining panel data for 36 developing and developed countries for the 1980 1997 period we find significant evidence supporting our prediction that inequality has a large influence on the demand for imports moreover we find that in line with the predictions of our theoretical model this influence is positive for high income countries countries that produce the high quality variety of the vertically differentiated product and negative for low income countries countries that produce the low quality variety of the vertically differentiated product

on technological change in crop yields technological changes in agriculture tend to alter the mass associated with segments or components of the yield distribution as opposed to simply shifting the entire distribution upwards we propose modeling crop yields using mixtures with embedded trend functions to account for potentially different rates of technological change in different components of the yield distribution by doing so we can test some interesting and previously untested hypotheses about the data generating process of yields for example 1 is the rate of technological change equivalent across components and 2 are the probabilities of components constant over time our results technological change is not equivalent across components and probabilities tend not to have changed significantly over time have implications for modeling yields we find estimated conditional yield densities are quite different when unique trend functions are embedded inside the mixture components versus estimating the same mixture with detrended data also we prove different rates of technological change in different components lead to nonconstant variance with respect to time i e heteroscedasticity we present two applications of the proposed yield model the first application considers climate determinants of component membership where our results are consistent with the literature for climate determinants of yields the second application compares the proposed yield model to usda s current rating methodology for area yield crop insurance contracts and finds the proposed model may lead to more accurate rates

actuarial fairness of crop insurance rates with constant rate relativities increased availability and demand for low deductible crop insurance policies have increased focus on crop insurance rating methods actuarial fairness cannot be achieved if constant multiplicative factors are used to determine how premiums change as coverage levels increase a comparison of premium rates generated by the factors used by the two most popular crop insurance products with those generated by a standard yield distribution shows that the popular insurance products overcharge for low deductible policies in most counties this overpricing may explain why large premium subsidies were required to induce farmers to move from low deductible to high deductible policies beginning in 2001 crop insurance is by far the most popular risk management tool used by the u s crop producers in 2003 the u s crop insurance program insured more than 200 million acres representing more than 37 billion in value with total premium of over 3 14 billion the two most popular crop insurance products are actual production history aph which provides insurance against low yields and crop revenue coverage crc which is a revenue insurance product both of these products offer coverage in 5 increments from 65 to 85 of expected yield or revenue beginning with the 2001 crop year congress greatly increased subsidy levels to induce producers to purchase more insurance coverage producers responded as expected for example only 2 3 of kansas wheat was insured at levels in excess of 65 in 1998 this proportion rose to 71 6 in 2003 this policy change has increased focus on the methods used by the risk management agency rma of usda to set insurance rates at higher coverage levels aph premium rates are calculated by multiplying the premium rate at the 75 coverage level by a rate

ranking crop yield models using out of sample likelihood functions there has been considerable debate regarding which probability distribution best represents crop yields this study ranks six yield densities based on their out of sample forecasting performance the forecasting ability for each density was ranked according to its likelihood function value when observed at out of sample observations results show that a semiparametric model offered by goodwin and ker best forecasts county average yields

estimating bivariate yield distributions and crop insurance premiums using nonparametric methods modelling crop yield distribution is crucial in crop insurance premium setting the correlation between different crop yields due to rotations or systemic risks requires estimation of joint yield distribution for multiple crops in this article we apply a nonparametric method to estimate bivariate yield distributions using farm level yield data of wheat and corn in shandong province in china then the simulated yields are used to evaluate the expected indemnity of one traditional and one hypothetical crop insurance programme our results reveal that the nonparametric bivariate method is very flexible in shaping the yield probability density functions to estimate local idiosyncrasies and correlation between two crops it is also feasible to simulate the nonparametric yield distributions at a satisfying level of accuracy the simulation results show that the hypothetical two crop insurance contract can be more affordable to farmers than traditional individual crop insurance contracts

estimation of mixture models using cross validation optimization implications for crop yield distribution modeling a critical issue in identifying an appropriate characterization of crop yield distributions is that the best fitting distribution in an in sample framework is not necessarily the best choice out of sample this study provides a methodology for estimating flexible and efficient mixture models using cross validation that alleviates many of these associated model selection issues the method is illustrated in an application to the rating of group risk insurance products results indicate that nonparametric models often fit best in sample but are inefficient and consistently overstate true rates and vice versa for parametric models the proposed model provides unbiased rates and also has desirable efficiency properties

bayesian estimation of possibly similar yield densities implications for rating crop insurance contracts the agricultural act of 2014 solidified insurance as the cornerstone of u s agricultural policy the congressional budget office 2014 estimates that this act will increase spending on agricultural insurance programs by 5 7 billion to a total of 89 8 billion over the next decade in light of the sizable resources directed toward these programs accurate rating of insurance contracts is of the utmost importance to producers private insurance companies and the federal government unlike most forms of insurance agricultural insurance is plagued by a paucity of spatially correlated data a novel interpretation of bayesian model averaging is used to estimate a set of possibly similar densities that offers greater efficiency if the set of densities are similar while seemingly not losing any if the set of densities are dissimilar simulations indicate that finite sample performance in particular small sample performance is quite promising the proposed approach does not require knowledge of the form or extent of any possible similarities is relatively easy to implement admits correlated data and can be used with either parametric or nonparametric estimators we use the proposed approach to estimate u s crop insurance premium rates for area type programs and develop a test to evaluate its efficacy an out of sample game between private insurance companies and the federal government highlights the policy implications for a variety of crop state combinations consistent with the simulation results the performance of the proposed approach with respect to rating area type insurance in particular small sample performance remains quite promising

spatial pattern of yield distributions implications for crop insurance crop insurance is similar to flood and hurricane insurance in that spatially correlated weather tends to cause violations of the independence assumption ideally one would seek to pool uncorrelated risk drawn from the same distribution in crop insurance this article proposes a testing procedure for the cross sectional pooling of group units and empirically analyzes whether the proposed test improves out of sample rating performance we utilize a balanced panel of u s county level corn yields for 510 counties and the results of an out of sample crop insurance rating performance exercise provide economic significance to the proposed pooling methodology and results

spatio temporal modeling of agricultural yield data with an application to pricing crop insurance contracts this article presents a statistical model of agricultural yield data based on a set of hierarchical bayesian models that allows joint modeling of temporal and spatial autocorrelation this method captures a comprehensive range of the various uncertainties involved in predicting crop insurance premium rates as opposed to the more traditional ad hoc two stage methods that are typically based on independent estimation and prediction a panel data set of county average yield data was analyzed for 290 counties in the state of parana brazil for the period of 1990 through 2002 posterior predictive criteria are used to evaluate different model specifications this article provides substantial improvements in the statistical and actuarial methods often applied to the calculation of insurance premium rates these improvements are especially relevant to situations where data are limited

do capital importing countries pay higher prices for their imports of goods abstract we examine the effects that a country s net capital flows have on the border prices that a country pays for its imports of goods using data from 2000 to 2009 for 11 euro area countries we utilize a pricing to market specification to study exporters pricing behavior to the rest of the countries in the sample at the industry level for 900 goods disseminated at the 4 digit standard international trade classification level this allows us to construct a panel dataset which contains observations across exporters importers industries and time we find a strong positive influence of the importing country s net capital inflows on the border prices of its imports of goods this result is robust across different specifications of the underlying model as well to different sample dis aggregations across types of capital flows product categories and exporters

relaxing heteroscedasticity assumptions in area yield crop insurance rating this article focuses on the effect of differing heteroscedasticity assumptions on derived premium rates of area yield crop insurance tests of the proportional and absolute heteroscedasticity assumptions are conducted using both in sample and out of sample measures our results suggest that arbitrarily imposing a specific form of heteroscedasticity or homoscedasticity in insurance rate calculations limits actuarial soundness our results have practical implications for the federal crop insurance programs as we reject the traditional rating assumptions for many cotton regions and lower yielding higher risk corn and soybean counties but not in the heart of the cornbelt copyright 2011 oxford university press