the impact of spatial patterns in road traffic externalities on willingness to pay estimates studying traffic related externalities in the city of gent belgium we find little to no evidence that observed spatial dependencies in actual objective externality levels play a direct role in determining spatial dependencies in the willingness to pay wtp for changes in the city s mobility policy investigating alternative factors that can influence wtp estimates however reveals that higher stated subjective externality levels are positively correlated with higher wtp for reducing exposure to noise air and odor pollution our results suggest complex interactions between housing decisions perceived externality levels and wtp estimates thus allowing for subjective perceptions sorting behavior and patterns in individuals characteristics can result in wtp estimates that are not spatially correlated even though the underlying externalities are spatially correlated

when is foreign aid policy credible aid dependence and conditionality the author studies foreign aid policy within a principal agent framework he shows that one reason for foreign aid s poor overall record may be a moral hazard problem that shapes the aid recipient s incentive to undertake structural reform the model s basic prediction is a two way relationship disbursements of foreign aid are guided in part by the needs of the poor anticipating this recipients have little incentive to improve the welfare of the poor preliminary econometric work shows that the data support this hypothesis in principle conditionality could partly solve this problem but only if the donor can make a binding commitment to increase disbursements in good relative to bad states without such a commitment technology aid disbursements remain guided by the needs of the poor and recipient countries maintain a low effort to reduce poverty contrary to the conventional wisdom found in the aid literature the author shows that the welfare of all parties might be improved by using tied project aid or by delegating part of the aid budget to an international agency with less aversion to poverty

pooling forecasts in linear rational expectations models abstract estimating linear rational expectations models in a limited information setting requires replacing the expectations of future endogenous variables either with instrumented actual values or with forecast survey data applying the method of gottfries and persson empirical examinations of the information sets of economic agents quarterly journal of economics 103 251 259 i show how to augment these methods with actual future values of the endogenous variables to improve statistical efficiency the method is illustrated with an application to the us hybrid new keynesian phillips curve where traditional lagged instruments and the median forecast from the survey of professional forecasters both appear to miss significant information used by price setters so that forecast pooling with actual values improves the statistical fit to inflation

vertically summing public good demand curves an empirical comparison of economic versus political jurisdictions fiscal equivalence for efficient provision of a public good requires perfect correspondence between political and economic jurisdictions however the spatial extent of the economic jurisdiction is an empirical question drawing on four survey based valuation studies we measure the relative public good benefit gradient as a function of residential location from six natural resource public goods the results indicate commonly used state political jurisdictions reflect an average of 13 of total benefits in the economic jurisdiction although with a logarithmic form for distance the upper confidence interval of state benefits can include 100 for some species

samaritan agents on the strategic delegation of aid policy abstract should a donor delegate the responsibility for allocating its aid budget to a less inequality averse agent to alleviate the consequences of the samaritan s dilemma it is facing i show that when aid impact differs across recipients the optimal type of agent depends on whether or not committing to a greater share for countries where the productivity of aid is low raises the combined domestic incomes of recipients this is the case for donors too concerned with efficiency ex post they therefore delegate the decision on the discretionary aid allocation rule to agents more sensitive to distributional issues than themselves

modeling spatial patchiness and hot spots in stated preference willingness to pay stated preference analyses often impose strong assumptions regarding spatial welfare distributions that can influence the validity of welfare analysis and aggregation these include spatial homogeneity and continuous distance decay global assumptions such as these are increasingly questioned by non economics disciplines in favor of approaches that allow for local patchiness drawing from this literature this article proposes methods to identify and evaluate hot spots in stated preference welfare estimates using local indicators of spatial association methods are illustrated using geocoded choice experiment data addressing river restoration results suggest the presence of statistically significant non continuous patterns overlooked by current approaches

decomposing the structural identification of non market values abstract this paper addresses the issue of transparency in structural modeling by investigating how the assumptions of a structural model contribute to its identification of non market values assumptions about the form of the utility function the depiction of preference heterogeneity and the definition for the choice set are shown to jointly identify a partition of preference space which explains observed behavior the borders of the partition reflect substitution patterns the regions in the partition set identify preferences assumptions about the distribution of preferences within each region point identify partial equilibrium welfare measures together these observations provide a framework for decomposing the structural identification of non market values the new framework allows analysts to explain how their modeling assumptions influence estimates for benefits and costs this addresses federal guidelines for quantifying uncertainty in the modeling assumptions which enter benefit cost analysis the framework is demonstrated by decomposing estimates of the mwtp for air quality

utility in willingness to pay space a tool to address confounding random scale effects in destination choice to the alps we compare two approaches for estimating the distribution of consumers willingness to pay wtp in discrete choice models the usual procedure is to estimate the distribution of the utility coefficients and then derive the distribution of wtp which is the ratio of coefficients the alternative is to estimate the distribution of wtp directly we apply both approaches to data on site choice in the alps we find that the alternative approach fits the data better reduces the incidence of exceedingly large estimated wtp values and provides the analyst with greater control in specifying and testing the distribution of wtp copyright 2008 oxford university press

why conditional aid does not work and what can be done about it abstract this paper studies a simple reform that introduces ex post incentives for the donor to reward good policies contrary to existing practices instead of committing aid to each recipient ex ante and making aid conditional on reform the donor centralizes the disbursement decision by committing aid to a group of countries the actual amount disbursed to each individual country would depend on its relative performance this explicit linkage of the allocation and disbursement decisions has two important advantages as compared to present practices first it raises the opportunity cost of disbursing aid ex post thereby giving the donor stronger incentives to reward good policies second competition among recipients allows the donor to make inferences about common shocks which otherwise conceal the recipient s choice of action this enables the donor to give aid more efficiently

perceptions versus objective measures of environmental quality in combined revealed and stated preference models of environmental valuation abstract this study examines perceptions and objective attribute measures in discrete choice models of recreation site choice behavior these forms of attribute measurement are examined in individual and combined revealed preference stated preference models our results suggest that the model based on perceptions slightly outperforms the models based on objective attribute measures however issues such as the definition of the choice set and the measurement of welfare present significant challenges when using perceptions data

debt relief for poor countries conditionality and effectiveness this paper studies the effectiveness of debt relief to stimulate economic growth in the most heavily indebted poor countries we develop a neoclassical framework with a conflict of interest between the altruistic donor and the recipient government and model conditionality as an imperfectly enforceable dynamic contract in contrast to the recent practice of fully cancelling debt optimal incentive compatible conditionality is accompanied by a concessionality level that implies a combination of subsidized loans and outright grants the optimal concessionality level depends on the recipient s access to international financial markets and on the strength of the conflict of interest incentive compatible transfers with optimal concessionality levels generate substantial welfare gains if the donor does not implement the optimal concessionality level and provides subsidized loans only then the effectiveness of transfers decreases in the long run with severe welfare implications in contrast transfers are less effective in the short run if the donor offers outright grants only

how informative are preliminary announcements of the money stock in canada the authors examine hypotheses about the relation between provisional estimates and final values of m1 m2 and m3 and their growth rates in canada using monthly data and multiple revisions preliminary values cannot be viewed as final values plus an error revision uncorrelated with these but they are approximately unbiased forecasts of final values the second difference in short term interest rates is a leading indicator of revisions in m1 growth rates and revisions exhibit significant seasonality hence preliminary values are not completely rational forecasts

property prices and exposure to multiple noise sources hedonic regression with road and railway noise this study examines the effect of road and railway noise on property prices it uses the hedonic regression technique on a swedish data set that contains information about both road and railway noise for each property and finds that road noise has a larger negative impact on the property prices than railway noise this is in line with the evidence from the acoustical literature which has shown that individuals are more disturbed by road than railway noise but contradicts recent results from a hedonic study on data of the united kingdom

company interests and foreign aid policy playing donors off against one another abstract the evidence on conditionality indicates that this instrument sometimes works and sometimes does not work we suggest that third parties to the donor recipient relationship influence the aid disbursement the halt in aid that should follow non compliance could trigger the recipient to cancel contracts with companies from donor countries which creates incentives for the companies to put pressure towards aid disbursement we use a multi agent triadic model of the relationships between a recipient and two donors and two companies to illustrate that recipients may act strategically to make third parties like companies and others influence the disbursement decision failing to take account of third parties role yields the opposite result conditionality becomes successful

are statistical reporting agencies getting it right data rationality and business cycle asymmetry this article provides new evidence on the rationality of early releases of industrial production ip and producer price index ppi data rather than following the usual practice of examining only first available and fully revised data we examine the entire revision history for each variable thus we are able to assess for example whether earlier releases of data are in any sense less rational than later releases and when data become rational our findings suggest that seasonally unadjusted ip and ppi become rational after approximately 3 4 months whereas seasonally adjusted versions of these series remain irrational for at least 6 12 months after initial release for all variables examined we find evidence that the remaining revision is predictable from its own past or from publicly available information in other economic and financial variables in addition we find a clear increase in the volatility of revisions during recessions suggesting that early data releases are less reliable in toughe

learning by doing and the dutch disease this paper develops a model of learning by doing and the dutch disease that extends the earlier literature in two ways first it is assumed that both the traded and the non traded sector can contribute to learning second it is assumed that there are learning spillovers between the sectors it is shown that within such a model a foreign exchange gift results in a real exchange rate depreciation in the long run due to a shift in the steady state relative productivity between the traded and the non traded sector in contrast to standard models of the dutch disease production and productivity in both sectors may go up or down the conditions for the different cases are worked out

does the samaritan s dilemma matter evidence from u s agriculture the samaritan s dilemma posits a downside to charity recipients may rely on free aid instead of their own efforts anecdotally the expectation of free assistance is thought to be important for decisions about insurance and risky behavior in numerous settings but reliable empirical evidence is scarce we estimate whether the samaritan s dilemma exists in u s agriculture where both private crop insurance and frequent federal disaster assistance are present we find that bailout expectations are qualitatively and quantitatively important for the insurance decision furthermore aid expectations reduce both expenditure on farm inputs and subsequent crop revenue jel d72 h84 q18

effects on welfare measures of alternative means of accounting for preference heterogeneity in recreational demand models multiattribute revealed preference data are used to investigate heterogeneity in a sample of kayakers for a panel of whitewater sites in ireland this article focuses on a comparison of preference heterogeneity using a random parameter logit model with correlated tastes and a latent class model in terms of the implications for welfare measures of environmental quality and site access changes recreationalists skill levels are found to affect preferences in both approaches statistics for the estimated distribution of welfare changes for the average respondent are computed for changes in site attributes but contrary to previous work these are found to be of similar magnitude

aid investment and incentives promoting productive investment and economic growth are among the key objectives of most aid organizations operating in poor countries however it is not possible to conclude from existing empirical evidence that aid contributes positively to growth in this paper it is shown that those rather negative results may be explained by important incentive problems built into the aid system itself the recipient countries own efforts to contribute to investment and growth may in reality be undermined and the result may be aid dependency

estimating equilibrium models of sorting across locations while there is growing interest in measuring the size and scope of local spillovers it is well understood that such spillovers cannot be distinguished from unobservable local attributes using solely the observed location decisions of individuals or firms we propose an empirical strategy for recovering estimates of spillovers in the presence of unobserved local attributes for a broadly applicable class of equilibrium sorting models our approach relies on an iv strategy derived from the internal logic of the sorting model itself we show practically how the strategy is implemented provide intuition for our instruments discuss the role of effective choice set variation in identifying the model and carry out a series of monte carlo simulations to demonstrate performance in small samples

spatial heterogeneity of willingness to pay for forest management the paper investigates the spatial heterogeneity of public s preferences for the implementation of a new country wide forest management and protection program in poland spatial econometric methods and high resolution geographical information system data related to forest characteristics are used to explain the variation in individual specific willingness to pay wtp values derived from a discrete choice experiment study we find that respondents wtp is higher the closer they live to their nearest forest and the scarcer forests are in the area where they live interestingly the higher the ecological value of forests in respondents area the more people prefer extending areas of national forest protection we also investigate spatial patterns in individual specific wtp scores and in latent class membership probabilities finding that preferences are indeed spatially clustered we argue that this clustering should be taken into account in forest management and policy making

news and noise in g 7 gdp announcements revisions to gdp announcements are known to be quite large in all g 7 countries quarterly growth rate revisions are regularly more than a full percentage point at an annualized rate we examine the predictability of these revisions using standard statistical tests of whether the preliminary announcement is a rational forecast of the subsequently revised data previous work suggests that u s gdp revisions are largely unpredictable as would be the case if the revisions reflect news not available at the time that the preliminary number is produced we find that the degree of predictability varies throughout the g 7 although we find little predictability in u s revisions the data revisions for several foreign countries are highly predictable we also perform a simple real time forecasting exercise showing that for several countries the predictability of data revision could be used to generate improved preliminary data

spatial preference heterogeneity in forest recreation abstract in this study we analyze the preferences for recreational use of forests in lorraine northeastern france applying stated preference data our approach allows us to estimate individual specific preferences for recreational use of different forest types these estimates are used in a second stage of the analysis where we test whether preferences depend on access to recreation sites we find that there is significant preference heterogeneity with respect to most forest attributes the spatial analysis shows that preferences for forests with parking and picnic facilities are correlated with having access to such forests while for the other attributes considered dominant tree species trekking paths and presence of lake and rivers we find no correlation between stated preferences and accessibility this implies that the problem of endogenous distances in the travel cost method parsons 1991 may be present in the estimation of welfare economic values for parking and picnic facilities in the analyzed model the results underline the importance of considering spatial heterogeneity of preferences carrying out economic valuation of spatial delineated environmental goods and that the spatial variation in willingness to pay for such goods is not only explained by the users transport costs of accessing the sites