some comments on free riding in leontief partnerships hans k hvide holmstrom bell journal of economics 13 1982 324 40 showed that freeriding is inevitable in partnerships where inputs are substitutes legros and matthews review of economic studies 68 1993 599 611 and vislie journal of economics behavior and organization 23 1994 83 91 showed that when inputs are strict complements leontief technology free riding can be avoided with a linear sharing rule this paper considers the robustness and some extensions of the positive result of these articles first i show that legros and matthews s and vislie s results are not robust to the introduction of participation constraints and limited liability however i construct a novel rule that mitigates that problem second i perturb the deterministic model of the other authors it turns out that free riding is avoidable with noise added to joint output and is inevitable when noise is added to individual productivity jel c72 d20 d29 d82 i introduction a long tradition in economics compares the performance of different ownership arrangements of firms capitalist firms are defined through separating ownership and production by having an outside owner and partnership firms split the value of production in full between the partners building on alchian and demsetz 1972 the seminal paper by holmstrom 1982 argues that partnership firms may suffer from free riding problems holmstrom 1982 shows that efficient provision of effort is not consistent with nash behavior in static partnership games where inputs are substitutes and actions are noncontractible capitalist firms on the other hand can mitigate the free rider problems by a principal breaking the budget i e keep some of the surplus for oneself whenever one observes a low joint output motivated by the many examples of partnerships in the real world considerable literature has questioned the generality of holmstrom s result 1 the present article considers a particular branch of that literature works that explore effort taking in leontief partnerships partnerships where joint output is determined by the partner with the least effort 2 legros and matthews 1993 section 3 1 and vislie 1994 hereafter abbreviated lmv find that if production is determined in such a manner there exists a linear sharing rule denoted beta sup that implements the efficient provision of effort and hence eliminates free riding the intuition for this result is that given that the other agents stick to the efficient action no agent can gain by providing more effort because output does not change and can be made to support the full decrease in output since his deviation is proportional to the change in output the present article discusses the robustness of the implementation result of lmv in two different directions by introducing participation constraints and limited liability on one hand and by introducing noise in the production on the other hand let me articulate why it is important to test for robustness along these two directions first the partnership literature has largely ignored whether a partnership can be expected to agree ex ante on efficient sharing rules when such rules exist the interesting problem is that a partner with a strong bargaining power may wish to settle on a non efficient rule if that gives him or herself a greater return hence it is of importance to have sharing rules that make provision of effort incentive compatible under any distribution of participation constraints to distribute a large share of surplus to agents with strong bargaining power proposition 1 see below constructs a simple sharing rule that solves the participation problem this sharing rule which is inspired by the groves s mechanism has the attractive property of implementing the efficient provision of effort under any conceivable distribution of participation constraints

nowcasting sales growth of manufacturing companies in india abstractthe performance of private corporate sector is used as an important demand indicator for monetary policy making as these data are received with a lag assessing and monitoring of corporate sales on a real time basis poses a significant challenge to policy makers in india in this context this article attempts to nowcast quarterly sales growth of indian manufacturing companies and gdp growth of india using dynamic factor modelling framework a multiple level framework through turning point analysis and elastic net structure is used to overcome the overfitting problem during variable selection empirical results show improvement in forecast accuracy for one quarter ahead nowcast using 3 factor and 4 factor models over the benchmark model however absolute dominance of 3 factor models over 4 factor models was not established as such the article has proposed a forecast combination technique to nowcast sales growth of manufacturing companies in india

macroeconomic forecasting in the euro area country specific versus area wide information abstract this paper compares several time series methods for short run forecasting of euro wide inflation and real activity using data from 1982 to 1997 forecasts are constructed from univariate autoregressions vector autoregressions single equation models that include euro wide and us aggregates and large model methods in which forecasts are based on estimates of common dynamic factors aggregate euro wide forecasts are constructed from models that utilize only aggregate euro wide variables and by aggregating country specific models the results suggest that forecasts constructed by aggregating the country specific models are more accurate than forecasts constructed using the aggregate data

exploiting the monthly data flow in structural forecasting a quarterly stochastic general equilibrium dsge model is combined with a now casting model designed to read timely monthly information as it becomes available this implies 1 mapping the structural quarterly dsge with a monthly version that maintains the same economic restrictions 2 augmenting the model with a richer data set and 3 updating the estimates of the dsge s structural shocks in real time following the publication calendar of the data our empirical results show that our methodology enhances the predictive accuracy in now casting an analysis of the great recession also shows that our framework would have helped tracing the dsge s structural shocks in real time obtaining for example a more timely account of the 2008 contraction

the return of the wage phillips curve the standard new keynesian model with staggered wage setting is shown to imply a simple dynamic relation between wage inflation and unemployment under some assumptions that relation takes a form similar to that found in empirical applications starting with the original phillips 1958 curve and may thus be viewed as providing some theoretical foundations to the latter the structural wage equation derived here is shown to account reasonably well for the comovement of wage inflation and the unemployment rate in the u s economy even under the strong assumption of a constant natural rate of unemployment

peer pressure and partnerships partnerships and profit sharing are often claimed to motivate workers by giving them a share of the pie but in organizations of any significant size the free rider effects would seem to choke off

nowcasting the real time informational content of macroeconomic data abstract a formal method is developed for evaluating the marginal impact that intra monthly data releases have on current quarter forecasts nowcasts of real gross domestic product gdp growth the method can track the real time flow of the type of information monitored by central banks because it can handle large data sets with staggered data release dates each time new data are released the nowcasts are updated on the basis of progressively larger data sets that reflecting the unsynchronized data release dates have a jagged edge across the most recent months

forecasting the world economy in the short term 1433 audrone jakaitiene and stephane dees forecasting the world economy is a difficult task given the complex interrelationships within and across countries this paper proposes a number of approaches to forecast short term changes in selected world economic variables and aims first at ranking various forecasting methods in terms of forecast accuracy and second at checking whether methods forecasting directly aggregate variables direct approaches outperform methods based on the aggregation of country specific forecasts bottom up approaches overall all methods perform better than a simple benchmark for short horizons up to 3 months ahead among the forecasting approaches used factor models appear to perform the best moreover direct approaches outperform bottom up ones for real variables but not for prices finally when country specific forecasts are adjusted to match direct forecasts at the aggregate levels top down approaches the forecast accuracy is neither improved nor deteriorated i e top down and bottom up approaches are broadly equivalent in terms of country specific forecast accuracy

olson s logic of collective action at fifty in the 50 years since its publication mancur olson s logic of collective action has had an enormous impact on the academic literature in both economics and political science in this review essay i discuss olson s work in light of the ensuing research particularly developments in the theoretical literature much of the discussion focuses on the group size paradox as applied to politics i e the extent to which the group size paradox can explain why the interests of some groups are better represented in the political process than others i also discuss selective incentives with an emphasis on the byproduct mechanism under which a firm sells a private good and uses the resulting profits to provide a public good

forecasting the gdp of a small open developing economy an application of favar models gdp forecasting remains a challenge for a small open developing economy faced with insufficient and low frequency data central bank forecasters cannot project gdp reliably for the purpose of mone

price changes supply elasticities industry organization and dairy output distribution long run price elasticities of milk supply are decomposed into price elasticities of yield herd size and farm population for northeastern u s dairy farms these elasticities are shown to vary with farm size because of size related differences in capital intensity specialization yield and herd size variability and rates of entry exit into dairy in the short run price responsiveness is shown to decrease with farm size in the long run large farms are shown to be most price responsive results suggest that lower milk prices could make revenue distribution less equal in both the short and long run by altering output and population distributions

gdp nowcasting application and constraints in a small open developing economy despite data limitations an attempt is made to find out if a gdp nowcasting model can provide reliable forecasts for a small open economy two competing bayesian vector autoregressive models are tested rigorously to obtain the optimal model by minimizing in sample forecasting errors the main finding of this study is that gdp nowcasting can produce reliable results for a small open economy despite the unavailability of sufficient data sets and the lack of high frequency indicators

predictability of output growth and inflation a multi horizon survey approach we develop an unobserved components approach to study surveys of forecasts containing multiple forecast horizons under the assumption that forecasters optimally update their beliefs about past current and future state variables as new information arrives we use our model to extract information on the degree of predictability of the state variable and the importance of measurement errors in the observables empirical estimates of the model are obtained using survey forecasts of annual gdp growth and inflation in the united states with forecast horizons ranging from 1 to 24 months and the model is found to closely match the joint realization of forecast errors at different horizons our empirical results suggest that professional forecasters face severe measurement error problems for gdp growth in real time while this is much less of a problem for inflation moreover inflation exhibits greater persistence and thus is predictable at longer horizons than gdp growth and the persistent component of bot

peers at work we study peer effects in the workplace specifically we investigate whether how and why the productivity of a worker depends on the productivity of coworkers in the same team using high frequency data on worker productivity from a large supermarket chain we find strong evidence of positive productiv ity spillovers from the introduction of highly productive personnel into a shift worker effort is positively related to the productivity of workers who see him but not workers who do not see him additionally workers respond more to the presence of coworkers with whom they frequently interact we conclude that social pressure can partially internalize free riding externalities that are built into many workplaces jel j24 l81 m54

price discrimination or price stabilization debating with models of u s dairy policy two views on u s dairy policy are first that it is an instance of the capture theory of economic regulation that it serves the interests of dairy producers at the expense of consumers and taxpayers by raising dairy product prices and second 2 that dairy policy to correct market failure is an instance of governmental action that dairy policy serves the joint interests of producers consumers and taxpayers this paper discusses several analytical issues which have been important in the debate between these views

u s monetary policy surprises identification with shifts and rotations in the term structure we develop a model to extract measures of monetary policy surprises from the maturity structure of the yield curve the model endogenously allows for the fact that the yield curve may either shift or rotate in response to monetary policy shocks a latent factor model approach with identification through heteroskedasticity harnesses the term structure to extract monetary policy shocks the approach offers informational advantages over event studies results from the u s term structure from 1994 strongly support the hypothesis that differing term structure responses are reactions to different types of monetary policy shock rather than differing reactions to the same policy shock

efficient and nearly efficient partnerships this paper shows in two ways that the degree to which free riding diminishes the performance of deterministic partnerships may be less than has been generally thought first a necessary and sufficient condition is provided for a partnership to sustain full efficiency it implies that many non trivial partnerships sustain efficiency such as generic ones with finite action spaces and neoclassical ones with leontief technologies second approximate efficiency is shown to be achievable in a large class of partnerships including ones with smooth and monotonic production and disutility functions approximate efficiency is achieved by mixed strategy equilibria one partner takes with small probability an inefficient action the degree to which efficiency is approximated is restricted only by the amount of liability the partners can bear nonetheless their equilibrium payments are not arbitrarily large

estimating time variation in measurement error from data revisions an application to backcasting and forecasting in dynamic models over time economic statistics are refined this implies that data measuring recent economic events are typically less reliable than older data such time variation in measurement error affects optimal forecasts measurement error and its time variation are of course unobserved our contribution is to show how estimates of these can be recovered from the variance of revisions to data using a behavioural model of the statistics agency we illustrate the gains in forecasting performance from exploiting these estimates using a real time dataset on uk aggregate expenditure data copyright 2009 john wiley sons ltd

automated earnings forecasts beat analysts or combine and conquer prior studies attribute analysts forecast superiority over time series forecasting models to their access to a large set of firm industry and macroeconomic information an information advantage which they use to update their forecasts on a daily weekly or monthly basis a timing advantage this study leverages recently developed mixed data sampling midas regression methods to synthesize a broad spectrum of high frequency data to construct forecasts of firm level earnings we compare the accuracy of these forecasts to those of analysts at short horizons of one quarter or less we find that our midas forecasts are more accurate and have forecast errors that are smaller than analysts when forecast dispersion is high and when the firm size is smaller in addition we find that combining our midas forecasts with analysts forecasts systematically outperforms analysts alone which indicates that our midas models provide information orthogonal to analysts our results provide preliminary support for th

forecasting oil prices high frequency financial data are indeed useful abstract the paper examines the importance of combining high frequency financial information along with the oil market fundamentals in order to gain incremental forecasting accuracy for oil prices inspired by french et al 1987 and bollerslev et al 1988 who maintain that future asset returns are also influenced by past volatility we use daily volatilities and returns from financial and commodity markets to generate real out of sample forecasts for the monthly oil futures prices our results convincingly show that although the oil market fundamentals are useful for long run forecasting horizons the combination of the latter with high frequency financial data significantly improve oil price forecasts by reducing the rmse of the no change forecast by approximately 68 results are even more impressive during the oil price collapse period of 2014 15 these findings suggest that we cannot ignore the information extracted from the financial markets when forecasting oil prices our results are both statistically and economically significant as suggested by several robustness tests

asymmetry in farm retail price transmission for major dairy products an econometric model is used to estimate the net relationship between changes in the farm level price of milk and changes in the retail prices of four major dairy products fluid milk butter cheese and ice cream results indicate that the farm retail price transmission process in the dairy sector is asymmetric retail dairy product prices adjust more rapidly and more fully to increases in the farm price of milk than to decreases the role in pricing asymmetry of retail demand versus farm supply shifts is tested via a chow type test asymmetry is tested using the houck procedure for estimating nonreversible functions

inequality and inefficiency in joint projects a group of agents voluntarily participates in a joint project in which efforts are not perfectly substitutable the output is divided according to some given vector of shares a share vector is unimprovable if no other share vector yields a higher sum of payoffs when the elasticity of substitution across efforts is two or lower only the perfectly equal share vector is unimprovable and all other vectors can be improved via lorenz domination for higher elasticities of substitution perfect equality is no longer unimprovable our results throw light on the connections between inequality and collective action

asymmetric treatment of identical agents in teams abstract we investigate when identical agents will be treated asymmetrically in a simple team setting asymmetric treatment is optimal when the agents individual contributions to team performance are strategic complements symmetric treatment of identical agents is optimal when the agents contributions are strategic substitutes or when they are independent

why do forecasters disagree lessons from the term structure of cross sectional dispersion abstract key sources of disagreement among economic forecasters are identified by using data on cross sectional dispersion in forecasters long and short run predictions of macroeconomic variables dispersion among forecasters is highest at long horizons where private information is of limited value and lower at short forecast horizons moreover differences in views persist through time such differences in opinion cannot be explained by differences in information sets our results indicate they stem from heterogeneity in priors or models differences in opinion move countercyclically with heterogeneity being strongest during recessions where forecasters appear to place greater weight on their prior beliefs

facts and challenges from the great recession for forecasting and macroeconomic modeling this paper provides a survey of business cycle facts updated to take account of recent data emphasis is given to the great recession which was unlike most other postwar recessions in the united states in being driven by deleveraging and financial market factors we document how recessions with financial market origins are different from those driven by supply or monetary policy shocks this helps explain why economic models and predictors that work well at some times do poorly at other times we discuss challenges for forecasters and empirical researchers in light of the updated business cycle facts

words are the new numbers a newsy coincident index of the business cycle i construct a daily business cycle index based on quarterly gdp growth and textual information contained in a daily business newspaper the newspaper data are decomposed into time series representi

the provision of incentives in firms i ncentives are the essence of economics despite many wide ranging claims about their supposed importance there has been little empirical assessment of incentive provision for workers the purpose of this paper is to critically overview existing work on the provision of incentives since the interests of workers and their employers are not always aligned a large theoretical literature has emphasized how firms design compensation contracts to induce employees to operate in the firm s interest this literature has reached into many areas of compensation and has pointed to a multitude of different mechanisms that can be used to induce workers to act in the interests of their employers these include piece rates options discretionary bonuses promotions profit sharing efficiency wages deferred compensation and so on my objective here is to evaluate this literature in the light of a growing empirical literature on compensation where possible i will address the literature from two perspectives first an underlying assumption of this literature is that individuals respond to contracts that reward performance accordingly i consider whether agents behave in this way and whether these responses are always in the firm s interest second i address whether firms write contracts with these responses in mind in other words do contracts look like the predictions of the theory incentives are provided to workers

have standard vars remained stable since the crisis small or medium scale vars are commonly used in applied macroeconomics for forecasting and evaluating the shock transmission mechanism this requires the var parameters to be stable over the evaluation and forecast sample or to explicitly consider parameter time variation the earlier literature focused on whether there were sizable parameter changes in the early 1980s in either the conditional mean or variance parameters and in the subsequent period till the beginning of the new century in this paper we conduct a similar analysis but focus on the effects of the recent crisis using a range of techniques we provide substantial evidence against parameter stability the evolution of the unemployment rate seems particularly different relative to its past behavior we then discuss and evaluate alternative methods to handle parameter instability in a forecasting context while none of the methods clearly emerges as best some techniques turn out to be useful to improve the forecasting performance

investment shocks and business cycles abstract the origins of business cycles are still controversial among macroeconomists this paper contributes to this debate by studying the driving forces of fluctuations in an estimated new neoclassical synthesis model of the u s economy in this model most of the variability of output and hours at business cycle frequencies is due to shocks to the marginal efficiency of investment imperfect competition and to a lesser extent technological frictions are the key to their transmission although labor supply shocks explain a large fraction of the fluctuations in hours at very low frequencies they are irrelevant over the business cycle this finding is important because the microfoundations of these disturbances are widely regarded as unappealing

an interregional analysis of price discrimination and domestic policy reform in the u s dairy sector the u s dairy sector has experienced several reforms in both government price support and classified pricing under state and federal milk marketing orders an interregional spatial market equilibrium model of the u s dairy sector is used to provide quantitative measures of the aggregate and regional impacts of alternative domestic deregulation scenarios the model simulates the allocation of farm milk used in the production of nine dairy products in a way consistent with milk component balances for milk fat protein and carbohydrate both within and across regions results suggest current policies induce substantive aggregate and regional distortions relative to an unregulated policy

the yield spread puzzle and the information content of spf forecasts while the yield spread has long been recognized as a good predictor of recessions it seems to have been largely overlooked by professional forecasters we examine this puzzle established by rudebusch and williams 2009 in a data rich environment including not just the yield spread but many other predictors as well we confirm the puzzle in this context by examining the contributions of both the spf forecasts and the yield spread in predicting recessions and by examining the information content of spf forecasts directly furthermore we take the first step towards a possible resolution of this puzzle by recognizing the heterogeneity across professional forecasters

estimating the euler equation for output new keynesian macroeconomic models have generally emphasized that expectations of future output are a key factor in determining current output the theoretical motivation for such forward looking behavior relies on a straightforward generalization of the well known euler equation for consumption in this paper we use maximum likelihood and generalized method of moments gmm methods to explore the empirical importance of output expectations we find little evidence that rational expectations of future output help determine current output especially after taking into account the small sample bias in gmm

interactions between workers and the technology of production evidence from professional baseball this paper examines how the effort choices of workers within the same firm interact with each other in contrast to the existing literature we show that workers can affect the productivity of their co workers based on income maximization considerations rather than relying on behavioral considerations such as peer pressure social norms and shame theoretically we show that a worker s effort has a positive effect on the effort of co workers if they are complements in production and a negative effect if they are substitutes the theory is tested using panel data on the performance of baseball players from 1970 to 2003 the empirical analysis shows that a player s batting average significantly increases with the batting performance of his peers but decreases with the quality of the team s pitching furthermore a pitcher s performance increases with the pitching quality of his teammates but is unaffected by the batting output of the team these results are inconsistent with behavioral explanations which predict that shirking by any kind of worker will increase shirking by all fellow workers the results are consistent with the idea that the effort choices of workers interact in ways that are dependent on the technology of production these findings are robust to controlling for individual fixed effects and to using changes in the composition of one s co workers in order to produce exogenous variation in the performance of one s peers

strategic incentives in teams implications of returns to scale this article demonstrates the critical relationship between the characteristics of the production function and the strategic incentives in a team equilibrium effort increases in team size when substitutability is low relative to returns to scale effort levels are actually strategic complements when returns to scale exceed the substitutability of members effort moreover even with equal shares the well known problem is determined by returns to scale and becomes worse as returns increase while a target scheme can support the optimal output level as an equilibrium it does not completely deter free riding a team member will accommodate shirking by increasing their own effort within a remarkably large accommodation zone where the additional effort cost is less than the bonus this accommodation of shirking by others exists for different returns to scale and even for very low levels of substitutability

combining judgment and models this paper proposes a parsimonious and model consistent method for combining forecasts generated by structural microfounded models and judgmental forecasts the method delivers along several dimensions first it improves the forecasting performance of the model second it allows interpreting the judgmental forecasts through the lens of the model finally it provides a framework to assess the informational content of the judgmental forecasters i illustrate the proposed methodology with a real time forecasting exercise using a simple neo keynesian dynamic stochastic general equilibrium model and the survey of professional forecasters 2010 the ohio state university

are daily financial data useful for forecasting gdp evidence from mexico this article evaluates the use of financial data sampled at high frequencies to improve short term forecasts of quarterly gdp for mexico the model uses both quarterly and daily sampling frequencies while remaining parsimonious in particular the mixed data sampling midas regression model is employed to deal with the multi frequency problem to preserve parsimony factor analysis and forecast combination techniques are used to summarize the information contained in a data set containing 392 daily financial series our findings suggest that the midas model incorporating daily financial data leads to improvements in quarterly forecasts of gdp growth over traditional models that either rely only on quarterly macroeconomic data or average daily frequency data the evidence suggests that this methodology improves the forecasts for the mexican gdp notwithstanding its higher volatility relative to that of developed countries furthermore we explore the ability of the midas model to provide forecast updates for gdp growth nowcasting

mixed frequency structural models identification estimation and policy analysis summary the mismatch between the timescale of dsge dynamic stochastic general equilibrium models and the data used in their estimation translates into identification problems estimation bias and distortions in policy analysis we propose an estimation strategy based on mixed frequency data to alleviate these shortcomings the virtues of our approach are explored for two monetary policy models copyright 2014 john wiley sons ltd

the external finance premium and the macroeconomy us post wwii evidence abstract the central variable of theories of financial frictions the external finance premium is unobservable this paper distils the external finance premium from a dynamic stochastic general equilibrium dsge model estimated on us macroeconomic data covering the period 1954 to 2004 within the dsge framework movements in the premium can be given an interpretation in terms of shocks driving business cycles a key result is that the estimate based solely on non financial macroeconomic data picks up over 70 of the dynamics of lower grade corporate bond spreads the paper also identifies a gain in fitting key macroeconomic aggregates by including financial frictions in the model and documents how shock transmission is affected

monetary policy in a data rich environment abstract most empirical analyses of monetary policy have been confined to frameworks in which the federal reserve is implicitly assumed to exploit only a limited amount of information despite the fact that the fed actively monitors literally thousands of economic time series this article explores the feasibility of incorporating richer information sets into the analysis both positive and normative of fed policymaking we employ a factor model approach developed by stock j h watson m w diffusion indices journal of business economic statistics 2002 20 2 147 forecasting inflation 1999 journal of monetary economics 44 2 293 that permits the systematic information in large data sets to be summarized by relatively few estimated factors with this framework we reconfirm stock and watson s result that the use of large data sets can improve forecast accuracy and we show that this result does not seem to depend on the use of finally revised as opposed to real time data we estimate policy reaction functions for the fed that take into account its data rich environment and provide a test of the hypothesis that fed actions are explained solely by its forecasts of inflation and real activity finally we explore the possibility of developing an expert system that could aggregate diverse information and provide benchmark policy settings

what are the macroeconomic effects of high frequency uncertainty shocks this paper evaluates the effects of high frequency uncertainty shocks on a set of low frequency macroeconomic variables that are representative of the u s economy rather than estimating models at the same common low frequency we use recently developed econometric models which allows us to deal with data of different sampling frequencies

aggregation and linearity in the provision of intertemporal incentives we consider the problem of providing incentives over time for an agent with constant absolute risk aversion the optimal compensation scheme is found to be a linear function of a vector of n accounts which count the number of times that each of the n kinds of observable events occurs the number n is independent of the number of time periods so the accounts may entail substantial aggregation in a continuous time version of the problem the agent controls the drift rate of a vector of accounts that is subject to frequent small random fluctuations the solution is as if the problem were the static one in which the agent controls only the mean of a multivariate normal distribution and the principal is constrained to use a linear compensation rule if the principal can observe only coarser linear aggregates such as revenues costs or profits the optimal compensation scheme is then a linear function of those aggregates the combination of exponential utility normal distributions and linear compensation schemes makes computations and comparative statics easy to do as we illustrate we interpret our linearity results as deriving in part from the richness of the agent s strategy space which makes it possible for the agent to undermine and exploit complicated nonlinear functions of the accounting aggregates

real time forecasting with a mixed frequency var this article develops a vector autoregression var for time series which are observed at mixed frequencies quarterly and monthly the model is cast in state space form and estimated with bayesian methods under a minnesota style prior we show how to evaluate the marginal data density to implement a data driven hyperparameter selection using a real time dataset we evaluate forecasts from the mixed frequency var and compare them to standard quarterly frequency var and to forecasts from midas regressions we document the extent to which information that becomes available within the quarter improves the forecasts in real time this article has online supplementary materials

on the fit of new keynesian models this article provides new tools for the evaluation of dynamic stochastic general equilibrium dsge models and applies them to a large scale new keynesian model we approximate the dsge model by a vector autoregression and then systematically relax the implied cross equation restrictions and document how the model fit changes we also compare the dsge model s impulse responses to structural shocks with those obtained after relaxing its restrictions we find that the degree of misspecification in this large scale dsge model is no longer so large as to prevent its use in day to day policy analysis yet is not small enough to be ignored

an empirical investigation of the welfare effects of banning wholesale price discrimination rand 054 rand2007 cls 1994 07 13 v1 2u standard latex document class rand rand 054 dispatch 12 7 2008 ce n a journal msp no no of pages 26 pe sharon rand journal of economics vol 40 no 1 spring 2009 pp 20 45 an empirical investigation of the welfare effects of banning wholesale price discrimination sofia berto villas boas economic theory does not provide sharp predictions on the welfare effects of banning wholesale price discrimination if downstream cost differences exist then discrimination shifts production inefficiently toward high cost retailers so a ban increases welfare if differences in price elasticity of demand across retailers exist discrimination may increase welfare if quantity sold increases so a ban reduces welfare using retail prices and quantities of coffee brands sold by german retailers i estimate a model of demand and supply and separate cost and demand differences simulating a ban on wholesale price discrimination has positive welfare effects in this market and less if downstream cost differences shrink or with less competition introduction wholesale price discrimination means that an upstream firm sets different prices for the same product for various downstream retailers wholesale price discrimination is commonly practiced in many markets examples include markets such as petroleum distribution steel heavy trucking tobacco and pharmaceuticals in several countries milk and other dairy products are sold using government administered or sanctioned discriminatory pricing schemes wholesale price discrimination practices are also used for services such as loans insurance and advertising 1 competition authorities have been concerned with wholesale price discrimination the european union treaty s article 82 c prohibits practices where a dominant firm would place trading partners at a competitive disadvantage the u s robinson patman act forbids discriminat ing in price between different purchasers where the effect may be to lessen competition unless the university of california berkeley sberto are berkeley edu i thank the editor igal hendel and two anonymous referees for many helpful comments and max auffhammer cyndi berck peter berck gal hochman silke januszewski forbes george judge kai uwe k uhn diana lazo mark muendler aviv nevo ariel pakes jeff perloff andrew sweeting miguel villas boas and participants at uc san diego university of michigan the inra idei conference in toulouse and the university of british columbia summer conference in industrial organization for their suggestions i thank daniel klapper for letting me have access to the data support from the giannini foundation and from an aes grant are gratefully appreciated see for gasoline markets texaco v hasbrouck 496 us 543 no 87 2048 1990 and the new york state motor fuel marketing practices act for steel chan hall and rust 2003 for heavy trucking volvo trucks north america inc v reeder simco gmc inc docket no 04 905 for tobacco brooke group ltd v brown and williamson tobacco corp 509 us 209 no 92 466 1993 for wholesale pharmaceuticals see http www datcp state wi us trade business unfair comp drug price jsp for dairy markets see for example gardner 1984 and for services see givens 1983 c 2009 rand copyright

divisia monetary aggregates and us gdp nowcasting this article nowcasts us quarterly real gdp growth rate with dynamic factor model dfm using divisia monetary aggregate index divisia m1 m2 m3 and exploits information from a large unbalanced

financial conditions indexes for the united states and euro area abstract financial conditions indexes are developed for the united states and euro area using a wide range of financial indicators and a dynamic factor model the financial conditions indexes are shown to be useful for forecasting economic activity and have good revision properties variants of the indexes that allow for cross economy effects reveal very strong financial linkages across the united states and euro area

macroeconomic forecasting using diffusion indexes this article studies forecasting a macroeconomic time series variable using a large number of predictors the predictors are summarized using a small number of indexes constructed by principal component analysis an approximate dynamic factor model serves as the statistical framework for the estimation of the indexes and construction of the forecasts the method is used to construct 6 12 and 24 monthahead forecasts for eight monthly u s macroeconomic time series using 215 predictors in simulated real time from 1970 through 1998 during this sample period these new forecasts outperformed univariate autoregressions small vector autoregressions and leading indicator models

moral hazard and risk spreading in partnerships partnerships provide a classic example of the tradeoff between risk spreading and moral hazard the degree to which firms choose to spread risk and sacrifice efficiency incentives depends upon risk preferences for which data are typically unavailable we use a unique dataset on medical group practice to investigate this tradeoff risk aversion leads to compensation arrangements which spread risk through greater sharing of revenues we find that compensation arrangements with greater degrees of revenue sharing significantly reduce physician effort the results imply that changing the method of physician payment from fee for service to capitation will dramatically reduce physician effort

optimal incentives for teams much of the existing theory of incentives describes a static relationship that lasts for just one transaction this static assumption is not only unrealistic but the resulting predictions appear to be at odds with many work organizations the current paper introduces possible long term interaction among agents and studies how the design of explicit incentives and work organizations can exploit and interact with the implicit incentives generated by the repeated interaction of the agents the optimal incentive scheme is shown to display observed features of the increasingly popular teams such as the use of low powered group incentives