debt regimes and the effectiveness of monetary policy abstract this paper develops a medium scale non linear model of the us economy our proposed model a threshold vector autoregression with stochastic volatility assumes that changes in government debt to gdp ratios drive the transition between regimes capturing low and high debt regimes the introduction of hierarchical priors enables us to flexibly shrink the empirical model towards the moments implied by a dynamic stochastic general equilibrium model in the empirical application we analyze regime specific monetary policy shocks our findings indicate that the effect of monetary policy is less pronounced in high debt regimes pointing towards differences in the underlying monetary policy transmission mechanisms forecast error variance decompositions enable us to shed further light on the relative importance of monetary policy shocks within different debt regimes in terms of explaining the variance of forecast errors

a new index of financial conditions we use factor augmented vector autoregressive models with time varying coefficients and stochastic volatility to construct a financial conditions index that can accurately track expectations about growth in key us macroeconomic variables time variation in the models parameters allows for the weights attached to each financial variable in the index to evolve over time furthermore we develop methods for dynamic model averaging or selection which allow the financial variables entering into the financial conditions index to change over time we discuss why such extensions of the existing literature are important and show them to be so in an empirical application involving a wide range of financial variables

election campaigns agenda setting and electoral outcomes framing effects and bounded rationality imply that election campaigns may be an important determinant of election outcomes this paper uses a two party setting and simple game theoretic models to analyse the strategic interaction between the parties campaign decisions alternations of power emerge naturally even if both electoral preferences and party positions remain constant

time to build and aggregate fluctuations some new evidence this paper presents maximum likelihood estimates and tests of a model similar to one kydland and prescott 1982 suggested for this purpose it derives equilibrium laws of motion for a set of aggregate variables as functions of the model s parameters and the innovation to the technology shock the paper shows that a single unobservable index can explain the variability in the observed series but identifying the single index with the innovation to the technology shock implies that per capita hours is not well explained it also shows that time separable preferences with respect to leisure are consistent with the data copyright 1989 by economics department of the university of pennsylvania and the osaka university institute of social and economic research association

endogenous vertical restraints in international trade abstract this paper examines interbrand competition between a domestic and a foreign manufacturer who market their products through intermediaries the contracts manufacturers offer these intermediaries are endogenous in equilibrium contracts may specify exclusive territories et depending on the degree of substitutability between products and the level and degree of transparency of trade barriers trade liberalization through lower or more transparent barriers may lead manufacturers to use et thereby substituting private anti competitive arrangements for government imposed barriers this substitution may decrease competition and welfare and thus create a role for competition policy in a freer trade environment

manufacturers and retailers in the global economy we develop a general equilibrium model to capture key features of the retailing and of the manufacturing industry in order to understand how these two industries interact and how labor is allocated between them we show that the observed shift in employment from manufacturing to retailing the rise in retailer product assortment and the emergence of slotting allowances in many retail markets are consistent with the global integration of product markets while higher retail market concentration is best explained by technological change in retailing we also identify a novel benefit from market integration consisting of efficiency gains in the vertical distribution chain

supply side strategic unemployment in small business in this paper the model which will be analysed is characterized by a labour market with a profitable vacancies b unemployment c excess labour supply d limited mobility and divisibility of labour and e competition on the job the analysed setting is typical for a small business economy the analysis suggests that unemployment will be greater than equilibrium unemployment if present employees and potential entrants consider job assignments for this market under strategic perspectives

fighting pollution when decisions are strategic in this paper we analyse anti pollution policies in a 2 by 2 game played between a polluter and the police in which the payoffs can be manipulated by an exogenous third player called the policy maker we show that the efficiency of the policies may depend on whether the players of the 2 by 2 game choose nash equilibrium strategies or prefer maximin

reputation and imperfect information abstract a common observation in the informal literature of economics and elsewhere is that is multistage games players may seek early in the game to acquire a reputation for being tough or benevolent or something else but this phenomenon is not observed in some formal game theoretic analyses of finite games such as selten s finitely repeated chain store game or in the finitely repeated prisoners dilemma we reexamine selten s model adding to it a small amount of imperfect or incomplete information about players payoffs and we find that this addition is sufficient to give rise to the reputation effect that one intuitively expects

mind your ps and qs improving arma forecasts with rbc priors abstract we use an rbc model to help inform arma parameters for univariate out of sample forecasting of us output bayesian estimation methods yield an interpretable structural model with forecasting performance at least competitive with arma models estimated with standard techniques

the dynamic effects of aggregate demand and supply disturbances we interpret fluctuations in gnp and unemployment as due to two types of disturbances disturbances that have a permanent effect on output and disturbances that do not we interpret the first as supply disturbances the second as demand disturbances demand disturbances have a hump shaped mirror image effect on output and unemployment the effect of supply disturbances on output increases steadily over time peaking after two years and reaching a plateau after five years

forecasting canadian time series with the new keynesian model this paper assesses the out of sample forecasting accuracy of the new key nesian model for canada we estimate a variant of the model on a series of rolling sub samples computing out of sample forecasts one to eight quarters ahead at each step we compare these forecasts with those arising from vector autoregression var models us ing econometric tests of forecasting accuracy we show that the forecasting accuracy of the new keynesian model compares favourably with that of the benchmarks particularly as the forecasting horizon increases these results suggest that the model could become a useful forecasting tool for canadian time series jel classification e32 e37

exclusive dealing and common agency in international markets abstract this paper investigates the contractual choice between exclusive dealing and common agency in a simple international oligopoly model where products are sold through intermediaries we find that when trade barriers are high domestic firms tend to adopt exclusive dealing contracts whereas trade liberalization may lead firms to choose common agency social welfare can be raised be prohibiting exclusive dealing common agency when trade barriers are high low and products are close substitutes

evaluating real time var forecasts with an informative democratic prior this paper proposes bayesian forecasting in a vector autoregression using a democratic prior this prior is chosen to match the predictions of survey respondents in particular the unconditional mean for each series in the vector autoregression is centered around long horizon survey forecasts heavy shrinkage toward the democratic prior is found to give good real time predictions of a range of macroeconomic variables as these survey projections are good at quickly capturing endpoint shifts

monetary policy analysis and inflation targeting in a small open economy a var approach empirical monetary policy research has increased in the last decade possibly because deregulation and explicit monetary targets have made monetary policy issues more interesting in particular within the inflation targeting framework it has been argued that inflation forecasts can be used as optimal intermediate targets for monetary policy and the development of empirical models that have good forecasting properties is therefore important this paper shows that a var model with long run restrictions justified by economic theory is useful for both forecasting inflation and for analysing other issues that are central to the conduct of monetary policy copyright 2001 john wiley sons ltd

forecasting inflation in an inflation targeting economy structural versus nonstructural models abstractwe propose a comparison between atheoretical and theoretical models in forecasting the inflation rate for an inflation targeting country such as south africa in a pseudo real time environment our results show that for shorter horizons the atheoretical error correction models with and without factors perform better while for longer horizons theoretical dynamic stochastic general equilibrium based models outperform their competitors

comparing dsge var forecasting models how big are the differences abstract i generate priors for a vector autoregression var from a standard real business cycle rbc model an rbc model with capital adjustment costs and habit formation and a sticky price model with an unaccommodating monetary authority the response of hours worked to a tfp shock differs sharply across these models i compare the accuracy of forecasts made from each of the resulting dynamic stochastic general equilibrium vector autoregression dsge var models despite having different structural characteristics the dsge vars are comparable in terms of forecasting performance as in previous work dsge vars compare favorably with atheoretical vars

supplanting the minnesota prior forecasting macroeconomic time series using real business cycle model priors abstract although general equilibrium models are in wide use in the theoretical macroeconomic literature their empirical relevance is uncertain we develop procedures for using dynamic general equilibrium models to aid in analyzing the observed time series relationships among macroeconomic variables our strategy is based on that developed by doan litterman and sims 1984 who constructed a procedure for improving time series forecasts by shrinking vector autoregression coefficient estimates toward a prior view that vector time series are well described as collections of independent random walks in our case the prior is derived from a fully specified general equilibrium model we demonstrate that like the atheoretical random walk priors real business cycle model priors can aid in forecasting

rationalizable strategic behavior and the problem of perfection this paper explores the fundamental problem of what can be inferred about the outcome of a noncooperative game from the rationality of the players and from the information they possess the answer is summarized in a solution concept called rationalizability strategy profiles that are rationalizable are not always nash equilibria conversely the information in an extensive form game often allows certain unreasonable nash equilibria to be excluded from the set of rationalizable profiles a stronger form of rationalizability is appropriate if players are known to be not merely rational but also cautious what constitutes rational behavior in a noncooperative strategic situation this paper explores the issue in the context of a wide class of finite noncooperative games in extensive form the traditional answer relies heavily upon the idea of nash equilibrium nash 17 the position developed here however is that as a criterion for judging a profile of strategies to be reasonable choices for players in a game the nash equilibrium property is neither necessary nor sufficient some nash equilibria are intuitively unreasonable and not all reasonable strategy profiles are nash equilibria the fact that a nash equilibrium can be intuitively unattractive is well known the equilibrium may be imperfect introduced into the literature by selten 20 the idea of imperfect equilibria has prompted game theorists to search for a narrower definition of equilibrium while this research some of which will be discussed here has been extremely instructive it remains inconclusive theorists often agree about what should happen in particular games but to capture this intuition in a general solution concept has proved to be very difficult if this paper is successful it should make some progress in that direction the other side of the coin has received less scrutiny can all non nash profiles really be excluded on logical grounds i believe not the standard justifications for considering only nash profiles are circular in nature or make gratuitous assumptions about players decision criteria or beliefs the following discussion of these points is extremely brief due to space constraints more detailed arguments may be found in pearce 18

evaluating point and density forecasts of dsge models this paper investigates the accuracy of point and density forecasts of four dsge models for inflation output growth and the federal funds rate model parameters are estimated and forecasts are derived successively from historical u s data vintages synchronized with the fed s greenbook projections point forecasts of some models are of similar accuracy as the forecasts of nonstructural large dataset methods despite their common underlying new keynesian modeling philosophy forecasts of different dsge models turn out to be quite distinct weighted forecasts are more precise than forecasts from individual models the accuracy of a simple average of dsge model forecasts is comparable to greenbook projections for medium term horizons comparing density forecasts of dsge models with the actual distribution of observations shows that the models overestimate uncertainty around point forecasts

facts and figures on intermediated trade over the past several years trade economists have begun exploring the role that intermediar ies play in facilitating trade papers by james e rauch and joel watson 2004 dimitra petropoulou 2007 and pol antras and arnaud costinot 2009 model intermediaries as agents that facilitate matching between sellers exporters and foreign buyers these papers examine how improved intermediation matching technolo gies affect trade volumes and the gains from trade bernardo s blum sebastian claro and ignatius horstmann 2009 embed a reduced form match ing model inspired by robert townsend 1983 into a heterogeneous firm trade model and exam ine how changes in the trading environment affect trade costs export import volumes and the extent of trade flowing through trade intermediaries a key modeling challenge for this literature is how to structure matching and intermediation technologies in trading environments blum claro and horstmann 2009 provide certain facts for chile colombia trade and use these facts to structure trading technologies in this paper we provide a broader set of facts on trade intermediaries using new datasets for chile and for chile argentina trade 1 we think that these facts will prove particularly useful for future modeling of trade intermediaries

imports я us retail chains as platforms for developing country imports wal mart toys r us and other large retail chains are often identified with cheap imports we use data from the census of retail trade and the international trade commission over the period 1997 2002 to test whether big chains serve as platforms for imports from ldcs using difference in difference specifications we show that chinese and other ldc imports have increased disproportionately in retail sectors with the sharpest consolidation into chains to quantify the importance of chain growth to import growth we apply a numerical algorithm that generates marginal propensities to import by firm size the largest retail firms propensity to import from china is 17 percentage points higher than that of smaller retailers the corresponding difference in import propensities from ldcs as a whole is 27 points the disproportionate growth of large retailers between 1997 and 2002 explains 5 of the overall growth in consumer goods imports 20 of the growth in consumer goods imports from china and 22 of the growth in consumer goods imports from ldcs

the macroeconomic effects of distortionary taxation abstract prescott 1986 estimates that technology shocks account for 75 of the fluctuations in the postwar u s economy this paper reestimates the contribution of technological change for a standard business cycle model that includes a public sector and fiscal disturbances i find that a significant fraction of the variance of aggregate consumption investment output capital stock and hours of work can be explained by disturbances in labor and capital tax rates and government consumption i also use the model to quantify the welfare costs of capital and labor taxation for both the time series and welfare calculations maximum likelihood estimates of taste technology and policy parameters are used

did technology shocks cause the 1990 91 recession real business cycle theory has been used to determine the statistical properties of aggregate fluctuations induced by technology shocks the finding is that technology shocks have been an important contributor to fluctuations in the u s economy for example finn e kydland and prescott 1991 estimate that if the only impulses were technology shocks the u s economy would have been 70 percent as volatile as it has been over the postwar period in this paper we employ the theory to answer the question did technology shocks cause the 1990 1991 recession answering this question requires the determination of the effects of technology shocks on the path of the economy the procedure that we use to make this determination is as follows first we construct a model economy and calibrate it so that its steady state matches actual 1987 values data for other years are used to determine the realizations of the shocks and the nature of the stochastic processes generating these shocks given these stochastic processes the equilibrium decision rules for our calibrated economy are computed we then construct the path for the economy implied by the model for the period 1984 1 1992 3 we set 1984 1 model values of the state variables equal to actual 1984 1 values and use the decision rules and the realized shocks to construct this path finally we examine whether the model economy experiences a recession in 1991 as did the u s economy business cycles are variations in output per adult that are in large part accounted for by variation in the per adult time allocated to market production figure 1 plots the time path of the per adult labor input during the 1983 1 1989 1 period there was a remarkable 12 percent increase in the labor input per adult beginning in 1990 2 there has been a decline of nearly 6 percent in this per adult labor input an unusual feature of the recovery subsequent to the 1990 1991 recession is that this labor input variable has continued to decline well into the recovery this unusual behavior leads to a related question did technology shocks cause the slow recovery we found it necessary to modify the standard real business cycle model in four ways in order to answer the posed question first given the enormous changes in the relative prices of durables as depicted in figure 2 we could not treat technology change as being neutral with respect to different types of final goods following john b long and charles plosser 1983 and jeremy greenwood et al 1992 we consider multiple production sectors with technology change differing across sectors second we assume that there is a technology employed within the household sector that produces a consumption flow from the stock of consumer durables third we consider land to be a factor of production in addition to labor and capital our fourth modification is to introduce population growth

in search of the liquidity effect abstract a short run negative relationship between monetary aggregates and interest rates the liquidity effect is central to discussions of monetary policy this paper searches for this empirical relationship we investigate whether the characterization of the liquidity effect is sensitive to i changes in sample period ii conditioning the correlations on past information iii assuming money growth is exogenous and iv treating monetary changes as anticipated or unanticipated the correlations change substantially in each case we conclude that the traditional analysis and modern models which rely completely on demand side behavior cannot explain the observed correlations a successful characterization of the liquidity effect requires identification of both private and policy behavior

monetary policy analysis with potentially misspecified models abstract the paper proposes a novel method for conducting policy analysis with potentially misspecified dynamic stochastic general equilibrium dsge models and applies it to a new keynesian dsge model along the lines of christiano eichenbaum and evans jpe 2005 and smets and wouters jeea 2003 we first quantify the degree of model misspecification and then illustrate its implications for the performance of different interest rate feedback rules we find that many of the prescriptions derived from the dsge model are robust to model misspecification jel classification c32 key words bayesian analysis dsge models model misspecification 1 introduction the quantitative evaluation of monetary policy rules plays an important role in the design of stabilization policies much of the recent debate about optimal monetary policy rules has been carried out with new keynesian dynamic stochastic general equilibrium dsge models see woodford 2003 dsge models have the advantage that one can explicitly assess the effect of policy regime changes on expectation formation and decision rules of private agents yet until recently these models were scarcely used by central banks because they were perceived as being inferior to less structural model in terms of fit recent work by christiano eichenbaum and evans 2005 and smets and wouters 2003 has changed this perception these papers show that the fit of large scale new keynesian dsge models is comparable to that of more heavily parameterized models as a consequence a number of central banks have begun to show interest in these models as tools for quantitative policy analysis despite the success in improving the empirical performance of dsge models misspecification remains a concern as shown in del negro schorfheide smets and wouters 2004 accounting for misspecification and model uncertainty in general is an important aspect of the assessment of monetary policies after all it has long been recognized that model and parameter uncertainty affects optimal policies e g brainard 1967 chow 1975 and craine 1979 1 this paper proposes a new method for taking model misspecification into account when assessing the performance of alternative interest rate feedback rules we apply this approach to evaluate different policies in the context of a new keynesian dsge model including the estimated volcker greenspan rule a natural approach in the presence of model uncertainty is to evaluate policy rules within all the model specifications that are under consideration in choosing the best performing rule one can either follow a bayesian route assigning probabilities to models and minimizing the overall posterior expected loss alternatively one can follow a minimax strategy by adopting a policy that minimizes the worst case loss across models the literature contains numerous applications of these ideas e g mccallum 1988 levin wieland and williams 1999 2003 rudebusch 2001 2003 onatski and stock 2002 onatski and williams 2003 brock durlauf and west 2004 cogley and sargent 2005 and hansen and sargent 2005 all these papers differ with regard to the type of models included in the model set and the formulation of the decision problem that leads to the choice of a preferred policy our analysis differs from previous work with respect to the method that is used to construct a model set and assign probabilities to these models so that a bayesian calculation of posterior expected performance is possible we start from a dsge model in which monetary policy is modelled through an interest rate feedback rule the dsge model imposes cross coefficient restrictions on a vector autoregressive representation of the data while we are assuming that the data obey a vector autoregressive law of motion we allow for potential deviations from the cross coefficient restrictions at the same time we maintain the assumption that monetary policy follows the same interest rate rule as in the dsge model

christopher a sims and vector autoregressions three decades ago christopher a sims suggested that vector autoregressions vars are useful statistical devices for evaluating alternative macroeconomic models his suggestion has stood the test of time well in the early days vars played an important role in the evaluation of alternative models they continue to play that role today

why parallel trade may raise producers profits abstract this paper shows that a manufacturer may benefit from parallel trade in addition to an intuitive condition about the effect of demand shocks this occurs when competitive retailers must order inventories before they know the realization of demand and for products whose sale value drops at the end of the demand period for these types of products letting retailers trade unsold inventories generally results in larger orders placed with the manufacturer and higher manufacturer profit the model provides a simple explanation as to why the volume of parallel trade is now very large and accepted by manufacturers for some products such as automobiles clothes toys consumer electronics musical recordings cosmetics and perfumes

countervailing power and consumer prices this paper considers the importance of countervailing power manifested as the effects of increased retail concentration on consumer prices and welfare within a market setting where imperfectly competitive retailers negotiate intermediate prices with a monopoly supplier only when retailer services are regarded as very close substitutes do final prices fall following a reduction in the number of retailers even in these circumstances the social benefits of countervailing power may not be realised as the supplier may seek to protect its profits by using a refusal to supply restraint to engage in exclusive trading

the unprofitability of mixed strategy equilibria in two person games abstract in this paper it is demonstrated that the payoffs of mixed strategy equilibria are equal to the maximin values for all 2x2 matrix games if maximim implies completely mixed strategies this characterizes a subclass of unprofitable games maximin instead of nash equilibrium has been suggested as an appropriate solution concept for these games

technology shocks and robust sign restrictions in a euro area svar we use a model based identification strategy to estimate the impact of technology shocks on hours worked and employment in the euro area the sign restrictions applied in the vector autoregression var analysis are consistent with a large class of dynamic stochastic general equilibrium dsge models and are robust to parameter uncertainty the results are in line with the conventional real business cycle rbc interpretation that hours worked rise as a result of a positive technology shock by comparing the sign restrictions method to the long run restriction approach of gali quaterly journal of economics 1992 709 38 we show that the results do not depend on the stochastic specification of the hours worked series or the data sample but only on the identification scheme

the causes and consequences of wal mart s growth wal mart is the largest company in the world yet little is known about its economic impact this essay discusses what is known about wal mart s competitive advantage and its economic impact on local communities as well as the national and global economy and highlights the open questions to be addressed by future research

upfront payments and exclusion in downstream markets although upfront payments are often observed in contracts between manufacturers and retailers little is known about their competitive effects or the role retailers play in securing them in this article we consider a model in which two competing retailers make take it or leave it offers to a common manufacturer we find that upfront payments are a feature of equilibrium contracts and in all equilibria only one retailer buys from the manufacturer these findings support the claims of small manufacturers who argue that they are often unable to obtain widespread distribution for their products because of upfront payments copyright 2007 rand

priors from general equilibrium models for vars abstract this paper uses a simple new keynesian dynamic stochastic general equilibrium model as a prior for a vector autoregression shows that the resulting model is competitive with standard benchmarks in terms of forecasting and can be used for policy analysis jel classification c11 c32 c53 key words bayesian analysis dsge models forecasting vector autoregressions 1 introduction dynamic stochastic general equilibrium dsge models are popular nowadays in macroeconomics they are taught in virtually every economics ph d program and represent a predominant share of publications in the field yet when it comes to policy making these models are scarcely used at least from a quantitative point of view the main quantitative workhorse for policy making at the federal reserve system is frb us a macro econometric model built in the cowles foundation tradition a style of macroeconomics that is no longer taught in many ph d programs 1 in their decision process fed policy makers rely heavily on forecasting they want to know the expected path of inflation in the next few quarters and by how much a 50 basis point increase in the federal funds rate would affect that path frb us offers answers to these questions answers that many macroeconomists would regard with suspicion given both the lucas 1976 critique and the fact that in general the restrictions imposed by cowles foundation models are at odds with dynamic general equilibrium macroeconomics sims 1980 general equilibrium models on the other hand have a hard time providing alternative answers the fact that these models are perceived to do badly in terms of forecasting as they are scarcely parameterized is perhaps one of the reasons why they are not at the forefront of policy making while progress is being made in the development of dsge models that deliver acceptable forecasts e g smets and wouters 2003 this paper proposes an approach that combines a stylized general equilibrium model with a vector autoregression var to obtain a specification that both forecasts well and is usable for policy analysis specifically the approach involves using prior information coming from a dsge model in the estimation of a vector autoregression loosely speaking this prior can be thought of as the result of the following exercise i simulate time series data from the dsge model ii fit a var to these data in practice we replace the sample moments of the simulated data by population moments computed from the dsge model solution since the dsge model depends on unknown structural parameters we use a hierarchical prior in our analysis by placing a distribution on the dsge model parameters a tightness parameter controls the weight of the dsge model prior relative to the weight of the actual sample markov chain monte carlo methods are used to generate draws from the joint posterior distribution of the var and dsge model parameters the paper shows that the approach makes even a fairly stylized new keynesian dsge model competitive with standard benchmarks in terms of forecasting real output growth inflation and the nominal interest rate the three variables that are of most interest to policy makers 2 up to this point our procedure borrows from the work of dejong ingram and whiteman 1993 and ingram and whiteman 1994 who are the first to use priors from dsge models for vars ingram and whiteman showed that prior information from the bare bones stochastic growth model of king plosser and rebelo 1988 is helpful in forecasting real economic activity such as output consumption investment and hours worked in addition to documenting the forecasting performance of a trivariate var with a prior derived from a monetary dsge model this paper makes two contributions that significantly extend the earlier work first we show formally how posterior inference for the var parameters can be translated into posterior inference for dsge model parameters

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

the past present and future of macroeconomic forecasting he reports of the death of large scale macroeconomic forecasting models are not exaggerated but many observers interpret the failure of the early models as indicative of a bleak future for macroeconomic forecasting more generally such is not the case although the large scale macroeconomic forecasting models didn t live up to their original promise they nevertheless left a useful legacy of lasting contributions from which macroeconomic forecasting will continue to benefit they spurred the development of powerful identification and estimation theory computational and simulation techniques comprehensive machinereadable macroeconomic databases and much else moreover past failures do not necessarily imply a bleak future we learn from our mistakes just as macroeconomics has benefitted from rethinking since the 1970s so too will macroeconomic forecasting understanding the future of macroeconomic forecasting requires understanding the interplay between measurement and theory and the corresponding evolution of the nonstructural and structural approaches to forecasting nonstructural macroeconomic forecasting methods attempt to exploit the reduced form correlations in observed macroeconomic time series with little reliance on economic theory structural models in contrast view and interpret economic data through the lens of a particular economic theory structural econometric forecasting because it is based on explicit theory rises and falls with theory typically with a lag structural keynesian macroeconomic forecasting based on postulated systems of decision rules enjoyed a golden age in the 1950s and 1960s following the advances in keynesian theory in the 1930s and 1940s

buyer power in international markets this paper investigates the implications for international markets of the existence of retailers wholesalers with market power two main results are shown first in the presence of buyer power trade liberalization may lead to retail market concentration due to this concentration retail prices may be higher and welfare may be lower in free trade than in autarky thus reversing the standard effects of trade liberalization second the pro competitive effects of trade liberalization are weaker under buyer power than under seller power