self enforcing arrangements in african political economy abstract self enforcing arrangements are crucial to the study of african political econmy the weakness of formal governance in much of africa makes understanding informal institutions of cooperation particularly important i consider the application of self enforcing arrangements like those described by the ostroms to the problems of violence and social heterogeneity that plague africa

the housing market macroeconomic activity and financial innovation an empirical analysis of u s data the relationship between macroeconomic activity and residential expenditure over the period 1959 i to 1991 i has been examined the analysis is conducted using varriance decompostions vdcs and historical decompostions hds the vdcs indicate that shocks to the money stock output and interest rates have significant impact on residental expenditure the hds indicate that shocks to macroeconomic variable are relatively unimportant in the determination of residential expenditure in the period following the extensive fiancial deregulation in the early 1980s

the efficient hypothesis and deregulation the greek case the impact is examined of the 1988 monetary deregulation in greece on the efficiency of the foreign exchange market a news model reveals that the deregulation of the monetary system contributed to the presence of an efficient foreign exchange market

estimating var models under non stationarity and cointegration alternative approaches for forecasting cattle prices multivariate var models estimated with non stationary data raise difficult econometric questions because differencing to achieve stationary can introduced distortions into multivariate models three approaches have been suggested for estimating such models 1 vector error correction vec models difference the data to achieve stationary and use an error correction term to replace the long run information lost through differencing 2 var models can be estimated with raw data in levels if the non stationary data is also cointegrated because recent theoretical work proves that estimation with such data will yield consistent parameter estimates 3 bayesian parameter estimates are not affected by non stationarity although some analysts argue that bayesian analysis is not appropriate for data that is also cointegrated a multivariate cattle price model provides a good framework for comparing these approaches because the major variables are both non stationary and cointegrated and because the model s opti

modelling the link between commodity prices and exchange rates the tale of daily data this paper examines daily data on exchange rates and the prices of three commodities traded on the winnipeg commodity exchange the temporal patterns of commodity prices and exchange rates are shown to be similar daily data are significantly non normal with garch models capturing the processes generating the data commodity prices and exchange rates are examined for cointegration using recent tests proposed by johansen and juselius 1990 currency depreciation is shown to granger cause commodity price inflation this information might be useful to central bankers concerned with reducing general price inflation through targeting commodity price inflation it also suggests that macro events have important effects on commodity markets in canada

does money matter the robustness of evidence from vector autoregressions traditionally empirical macroeconomic research begins with the use of theory to construct a highly restricted structural econometric model the determination of the nature of those restrictions is fraught with difficulty and thus many specification decisions turn out to be largely ad hoc and of dubious validity once these specification issues have been probably inadequately addressed and a structural model constructed it is then estimated using complicated econometric techniques requiring sophisticated computer programs recently an alternative approach to modeling macroeconomic time series has come into wide use this alternative introduced by sims 1980a 1980b suggests the use of vector autoregression var models to analyze time series relationships among macroeconomic variables the fact that the use of this approach has proliferated widely in a relatively brief period of time is due not only to the very persuasive criticisms of traditional methods made by sims see especially sims 1980a but perhaps even more to the perception that specification and estimation problems are greatly simplified the user of the var approach imposes few restrictions and can generally use ordinary least squares estimation procedures the var approach is thus believed to be largely free of the spurious specification assumptions and consequent specification errors necessitated by traditional macroeconometric procedures

interpreting the macroeconomic time series facts the effects of monetary policy existing theory and evidence on the effects of monetary policy are reviewed substantial room for disagreement among economists remains new evidence based on multivariate time series studies of several countries is presented while certain patterns in the data consistent with effective monetary policy are strikingly similar across countries others particularly the tendency of interest rate increases to predict high inflation are harder to reconcile with effective monetary policy

relative prices complementarities and comovement among components of aggregate expenditures abstract recent work suggests that the standard real business cycle framework has difficulty accounting for co movement among aggregate expenditure components when they are disaggregated even slightly to include business and household investment in addition relative prices of these goods have displayed substantial variation over the post war period this paper reports that incorporating a source of empirically plausible relative price variability makes the framework s implications for comovement even worse compounding the comovement problem the possibility that complementarities in the production of household and business capital may help account for observed co movement is considered the results suggest that complementarities improved the framework s empirical performance

information capacity and innovation adoption researchers of innovation adoption and diffusion often have tested the hypothesis that firms with greater capacities to gather and evaluate information should adopt sooner however the data generally do not support this hypothesis a theoretical model of innovation adoption under uncertainty is developed to show that greater information capacity implies not only faster learning which tends to reduce the expected delay until adoption but also a more stringent adoption criterion which tends to increase the expected delay the resulting ambiguity provides an explanation for the lack of empirical support for this hypothesis

strategic timing of adoption of new technologies under uncertainty abstract in this paper we introduce experience effects into a duopoly game of timing of adoption of new technologies which exhibit exogenous technological progress departing from the existing literature with this model we obtain continuous and downward sloping reaction functions we find that a higher level of uncertainty increases the extent of dispersion between the equilibrium timings of adoption furthermore we find that the equilibrium timings are even more dispersed when the leader takes the follower s reaction into account when firm roles are made endogenous we find that if there is an incentive to lead follow the equilibrium timings are more less dispersed finally we show that it is possible for collusive adoption to improve welfare

exit with multiplant firms using an extension of ghemawat and nalebuff s 1985 model i analyze the outcome of industry decline when firms have multiplant operations the analysis reveals that no natural generalization of their strong empirical prediction that the larger of two single plant duopolists exits first holds in a multiplant setting the results also highlight a number of factors that affect the pattern of capacity removal during industry decline and lead to a discussion of the strategic implications of firms plant size choices in general the factors determining the pattern of capacity reduction can be quite complex and prediction in such settings often requires intimate knowledge of industry structure

adoption and diffusion of an innovation of uncertain profitability the argument has frequently been made that the pattern of diffusion associated with most new innovations will typically have certain characteristics a diffusion curve for an innovation is usually defined as the proportion of its potential users who have already adopted as a function of time measured from the first adoption many empirical studies by both economists and other social scientists have shown that diffusion curves nearly always have two distinct characteristics i they are s shaped the proportion adopted is an increasing function of time which is initially convex but eventually becomes concave and ii they tend to be right hand skewed the inflection point occurs at a time corresponding to a proportion adopted which is less than one half so that the function is concave over the greatest amount of time in fact this skewing is occasionally severe enough to make the diffusion curve appear concave everywhere the focus of most empirical studies of innovation diffusion has centered on identification of either the major determinants of the speed of diffusion or the characteristics of firms which determine how long they delay adoption the seminal contributions are griliches 6 study of hybrid corn and mansfield s 121 study of 12 industrial innovations these studies and most of the similar ones following conclude that diffusion is faster for innovations with higher profitability and that large firms tend to be the earliest adopters some studies e g mansfield 121 herregat 71 have attempted to ascertain

strategic timing of adoption of new technologies under uncertainty a note abstract this note clarifies the circumstances under which ex ante identical firms will choose different dates for the adoption of new technology in particular conditions under which diffusion will arise in both open loop and closed loop games are identified furthermore it is shown that the rents of nonidentical firms are not equalized even if pre emptive adoption is possible finally an example is given in which the reduction of the uncertainty associated with the implementation of new technology leads to a postponement of the adoption by the late adopter

innovation adoption and diffusion when there are competing innovations abstract firms face a choice between two innovations without knowing which of the two is better each firm has a prior that one of the innovations is better which is updated by bayes rule as trials with the innovations are made a simple decision rule indicating which innovation should be tried given any posterior is derived and used to define an expected diffusion curve for the better innovation this curve has the commonly observed ogive shape even in the absence of any external demonstration effect when the distribution of firm priors belongs to a general class

monetary interdependence among g 3 countries this paper uses vector autoregressions to investigate the interdependence of the monetary policies of the central banks of germany japan and the united states granger sims causalities and innovation accounting mechanisms suggest that tri lateral linkages are strong and complex the results imply that the influence of foreign central banks policies limit each central bank s capacity to determine an independent domestic policy

indivisible labor and the business cycle abstract a growth model with shocks to technology is studied labor is indivisible so all variability in hours worked is due to fluctuations in the number employed we find that unlike previous equilibrium models of the business cycle this economy displays large fluctuations in hours worked and relatively small fluctuations in productivity this finding is independent of individuals willingness to substitute leisure across time this and other findings are the result of studying and comparing summary statistics describing this economy an economy with divisible labor and post war u s time series

when can changes in expectations cause business cycle fluctuations in neo classical settings abstract it is often argued that changes in expectation are an important driving force of the business cycle however it is well known that changes in expectations cannot generate positive co movement between consumption investment and employment in the most standard neo classical business cycle models this gives rise to the question of whether changes in expectation can cause business cycle fluctuations in any neo classical setting or whether such a phenomenon is inherently related to market imperfections this paper offers a systematic exploration of this issue our finding is that expectation driven business cycle fluctuations can arise in neo classical models when one allows for a sufficiently rich description of the production technology however such a structure is rarely allowed or explored in macro models in particular we identify a multi sector setting and a setting with a costly distribution system in which expectation driven business cycles can arise

invention under uncertainty and the threat of ex post entry abstract this article proposes a theoretical framework for studying the invention of new products when demand is uncertain in this framework under general conditions the threat of ex post entry by a competitor can deter invention ex ante asymmetric market power in the ex post market exacerbates the problem the implications of these general results are examined in a series of examples that represent important markets in the computer industry the first is a model that shows how an operating system monopolist by its mere presence can deter the invention of complements to its own detriment as well as that of society the implications of policies such as patent protection price regulation and mandatory divestiture are considered three additional examples consider the ability of a monopolist in one market to commit to bundling an unrelated product a pair of horizontally differentiated firms that can add a new feature to their products and a platform leader that can be challenged in its base market by the supplier of a complementary product

money and output under alternative exchange rate regimes in the usa abstract economic theory suggests that the effects of money on output will depend on the exchange rate regime this paper examines the relationship between money and output under fixed and flexible exchange rates in the usa johansen s maximum likelihood estimation method is utilized to test for cointegration in a system consisting of money the interest rate prices the trade balance and output during 1959 1971 and 1973 1990 with the exchange rate included in the analysis fo the second period the results indicate that the variables are cointegrated suggesting the existence of long run equilibrium relationships between the domestic and external variables vaiance decompositions reveal a much larger role for money in explaining forecast error vaiance of output during the flexible exchange rate period money and the interest rate explain a substantial proportion of the variances of the trade balance and the exchange rate this suggests that effects on the exchange rate and trade balance are an important component of the transmission mechanism of monetary policy jel f41

pricing production and persistence though built with increasingly precise microfoundations modern optimizing sticky price models have displayed a chronic inability to generate large and persistent real responses to monetary shocks as recently stressed by chari kehoe and mcgrattan 2000 this is an ironic finding since taylor 1980 and other researchers were motivated to study sticky price models in part by the objective of generating large and persistent business fluctuations we trace this lack of persistence to a standard view of the cyclical behavior of real marginal cost built into current sticky price macro models using a fully articulated general equilibrium model we show how an alternative view of real marginal cost can lead to substantial persistence this alternative view is based on three features of the supply side of the economy that we believe are realistic an important role for produced inputs variable capacity utilization and labor supply variability through changes in employment importantly these real flexibilities work together to dramatically reduce the elasticity of marginal cost with respect to output from levels much larger than unity in ckm to values much smaller than unity in our analysis these real flexibilities consequently reduce the extent of price adjustments by firms in time dependent pricing economies and the incentives for paying fixed costs of adjustment in state dependent pricing economies the structural features also lead the sticky price model to display volatility and comovement of factor inputs and factor prices that are more closely in line with conventional wisdom about business cycles and various empirical studies of the dynamic effects of monetary shocks federal reserve bank of philadelphia boston university nber and frb richmond this paper builds on earlier joint work with alexander l wolman on this topic we wish to thank brian boike for providing excellent research assistance and also to thank the referees and the editor for making numerous useful suggestions the views expressed in this article are those of the authors and do not necessarily represent those of the federal reserve bank of philadelphia the federal reserve bank of richmond or the federal reserve system

a reconsideration of sims evidence concerning monetarism abstract in var systems such as those of sims 1980 monetary policy surprises may be more accurately represented by interest rate than money stock innovations especially if the monetary authority uses an interest rate instrument

models and their uses it is argued that economists ought to recognize that modeling in different styles will be appropriate for different purposes or different stages in the development of an area of economics as an example the paper displays simulations of a stochastic general equilibrium model which shed light on the interpretation of widely discussed small macroeconomic vector autoregressive models connecting monetary variables to output and prices this abstract was borrowed from another version of this item

macroeconometric modelling and pakistan s economy a vector autoregression approach abstract recent applications of the vector autoregression var technique pioneered by sims litterman and doan has become popular in macroeconomic modelling particularly when knowledge about true structural relations is absent this study represents the first attempt to apply such a technique to pakistani data for ten key macroeconomic variables unlike some of the earlier studies on pakistan s economy our empirical results are intuitive and consistent with the predictions of the standard new neoclassical model more importantly based on these results perhaps one may also shed light on some of the dominant recurring macroeconomic issues of pakistan s economy

are the representative agent s beliefs based on efficient econometric models abstract no they are not at least not in the uk by examining gdp dynamics we find that over a time span of two decades an easy to perform adaptive expectations model systematically outperforms other standard predictors in terms of squared forecasting errors this should reduce model uncertainty and thereby lead to increased homogeneity in expectations however data collected in surveys show that great variety in expectations persists even in this situation moreover granger tests indicate that the forecasting fitness of the best predictor can be further enhanced by the use of information provided by survey expectations these results based on real time data and robust to both several predictors and nonlinearities weaken the general validity of approaches assuming predictions based on efficient econometric models

identification and estimation in non fundamental structural varma models the basic assumption of a structural vector autoregressive moving average svarma model is that it is driven by a white noise whose components are uncorrelated or independent and can be interpreted as economic shocks called structural shocks when the errors are gaussian independence is equivalent to non correlation and these models face two identification issues the first identification problem is static and is due to the fact that there is an infinite number of linear transformations of a given random vector making its components uncorrelated the second identification problem is dynamic and is a consequence of the fact that even if a svarma admits a non invertible moving average ma matrix polynomial it may feature the same second order dynamic properties as a varma process in which the ma matrix polynomials are invertible the fundamental representation the aim of this paper is to explain that these difficulties are mainly due to the gaussian assumption and that both identification challenges are solved in a non gaussian framework if the structural shocks are assumed to be instantaneously and serially independent we develop new parametric and semi parametric estimation methods that accommodate non fundamentalness in the moving average dynamics the functioning and performances of these methods are illustrated by applications conducted on both simulated and real data

causality and correlations of output and nominal variables in a real business cycle model abstract a dynamic general equilibrium economy in which output is exogenous with respect to money is calibrated and simulated following a procedure commonly used in the real business cycle literature it is then confronted with key comovement patterns of output and nominal variables in post war u s time series data the model economy performs well in matching second moment patterns involving output money and price the model economy with its embedded reverse causation from output to money also provides the means for carrying out a probabilistic appraisal of the observed money to output granger causality in u s data repeated applications of the granger causality test to simulated data lead to the rinding that money causes output more often than expected

money real interest rates and output a reinterpretation of postwar u s data this paper reexamines both monthly and quarterly u s postwar data to investigate if the observed comovements between money real interestrates prices and output are compatible with the money real interest output link suggested by existing monetary theories of output which include both keynesian and equilibrium models the major empirical findings are these 1 in both monthly and quarterly data we cannot reject the hypothesis that the ex ante real rate is exogenous or granger causally prior in the context of a four variable system which contains money prices nominal interest rates and industrial production 2 in quarterly data there is significantly more information con tained in either the levels of expected inflation or the innovationof this variable for predicting future output given current and lagged output than in any other variable examined money actualinflation nominal interest rates or ex ante real rates the effect of an inflation innovation on future output is unambiguously negative the first result casts strong doubt on the empirical importance of existing monetary theories of output which imply that money should have a causal role on the ex ante real rates the second result would appear incompatible with most demand driven models of output in light of these results we propose an alternative structural model which can account for the major dynamic interactions among the variables this model has two central features i output is unaffected by money supply and ii the money supply process is motivated by short run price stability this abstract was borrowed from another version of this item

technology shocks and aggregate fluctuations in an estimated hybrid rbc model this paper contributes to the on going empirical debate regarding the role of the rbc model and in particular of technology shocks in explaining aggregate fluctuations to this end we estimate the model s posterior density using markov chain monte carlo mcmc methods within this framework we extend ireland s 2001 2004 hybrid estimation approach to allow for a vector autoregressive moving average varma process to describe the movements and co movements of the model s errors not explained by the basic rbc model the results of marginal likelihood ratio tests reveal that the more general model of the errors significantly improves the model s fit relative to the var and ar alternatives moreover despite setting the rbc model a more difficult task under the varma specification our analysis based on forecast error and spectral decompositions suggests that the rbc model is still capable of explaining a significant fraction of the observed variation in macroeconomic aggregates in the post war u s economy

real business cycle theory and monetary policy the multiplier approach according to real business cycle theory the money multiplier explains money output correlations because nominal policy is impotent this paper re examines the key assumptions of the multiplier approach and presents empirical evidence for five countries the main conclusions are as follows first base money does granger cause economic activity second actual operating procedures of monetary authorities prevent orthogonalization of base money and multiplier changes the distinction between real and nominal aspects of monetary policy is therefore not very helpful

liquidity transaction costs and real activity this paper studies the liquidity effect in a pecuniary transaction cost model to model the asymmetric impact of monetary injections we consider two behavioral assumptions sluggish money demand and sluggish firm investment it is found that under reasonable parameterization the model is capable of generating a dominant liquidity effect our result suggests that with alternative monetary specifications and behavioral assumptions general equilibrium models are still useful for studying the liquidity effect at business cycle frequencies

exchange rate price and output inter relationships in ghana evidence from vector autoregressions this paper explores the dynamic inter relationships among the currency exchange rate consumer price inflation and real output growth as well as the roles of money and interest rates in output and price determination time series data and vector autoregression models are used results suggest that there are significant inter relationships between the exchange rate and inflation monetary shocks matter only when explaining money itself and the price level and interest rate dependent monetary policies in the absence of financial modernization are ineffective

public expenditure and national income causality further evidence on the role of omitted variables whether changes in public expenditure growth help predict changes in national income growth and or vice versa remains an important issue of sustained interest in the empirical public finance literature in recent years attention has mainly been confined to two specific areas namely estimation of the impact of the public sector on output growth by means of regression analysis and causality testing unfortunately the outcome of both types of analysis has been inconclusive focussing on the impact studies we note that a number of empirical investigations have attempted to measure the effect of the size of the public sector on overall economic growth for instance ram 19 utilizing a two sector model found that growth of government size has a positive effect on economic growth landau 14 15 however presented opposite evidence indicating that the government sector expansion led to a decline in output growth for many dcs and ldcs since 1960 in a recent study barth keleher and russek 4 estimated variants of ram s models with data for 30 countries their empirical results largely support a negative relationship between the scale of government and aggregate economic activity furthermore using the hausman procedure they rejected the hypothesis that the independent variables namely real government spending or other measures of the scale of the government depending on the specification in the regression equations are exogenous this strongly suggests that the conclusions reached by

inflation and growth pecuniary transactions costs and qualitative equivalence this paper develops a pecuniary transactions costs tc approach to reexamine the principal relationships and results concerning inflation and growth in a model with a general tc function and an endogenous labor leisure choice we consider four special cases by distinguishing among money as 1 a consumption good 2 a production good 3 an investment good and 4 a consumption good as well as an investment good under some weaker conditions as in related studies a reversed tobin effect obtains for all cases a high monetary growth rate leads to lower steady state capital labor consumption and real money balances these findings suggest that a pecuniary tc model is qualitatively equivalent to alternative models in the literature

interest rate rules and transitional dynamics in an endogenously growing open economy abstract this paper sets up an endogenous growth model of an open economy in which the monetary authority implements a gradualist interest rate rule with targets for both inflation and economic growth we show that under a passive rule a monetary equilibrium exists and is unique moreover the equilibrium is locally determinate by contrast an active rule implies either two equilibria one high growth and one low growth or none in the case of two equilibria the high growth equilibrium is locally determinate while the low growth equilibrium is a source besides the stabilization and growth effects of alternative target policies are also explored in this study moreover in departing from the existing literature we turn to focus on the analysis of transition with a particular emphasis on the case of imperfect credibility

rational choice round robin and rebellion an institutional solution to the problems of revolution abstract two collective action problems plague successful revolution on the one hand would be revolutionaries confront a participation problem whereby no rationally self interested individual has an incentive to participate in rebellion on the other hand individuals face a first mover problem whereby no rationally self interested individual has an incentive to lead rebellion this paper argues that 18th century merchant sailors who confronted these problems devised a novel institution to facilitate maritime revolution and assist them in overthrowing abusive captains this institution was called a round robin round robins helped overcome both the participation and first mover problems by aligning the interests of individual sailors desiring mutiny and restructuring the payoffs of leading versus following maritime rebellion

multiplant firms and innovation adoption and diffusion 1 introductionone empirical regularity associated with the adoption of new technology is that large firms tend to adopt sooner than small firms e g see davies 1979 mansfield 1968 mansfield et al 1982 stoneman 1983 1995 or hoppe 2002 the usual explanation of course is that large firms expect a greater return from adoption than small firms however large firms do not always adopt first as can be seen from the diffusion of several new processes in the u s steel industry the basic oxygen furnace and continuous casting adams and mueller 1982 and thin slab casting ghemawat 1993 1995 this article develops a new theoretical model of innovation adoption and diffusion that explains why large firms tend to adopt first but admits conditions under which small firms adopt first the analysis focuses on the adoption of an innovation of uncertain profitability when a firm s size is measured by the number of plants it operates as is well known one reason for operating multiple plants is production costs that are increasing at the margin another reason is the existence of economies of multiplant operations cost savings that result solely from the operation of multiple plants theoretical and empirical support for these economies is mixed theoretically the operation of multiple plants can allow savings in nonproduction costs such as transportation distribution and inventory it can also allow economies of massed reserves cost savings associated with retaining proportionately fewer spare parts backup machines and repair persons in reserve information sharing between plants can reduce production and adoption costs however multiplant operation can also result in greater information costs van zandt and radner 2001 show that because information processing takes time computational constraints limit the amount of information that can be used in reaching a decision this informational crowding out effect can result in decreasing returns to size or diseconomies of multiplant operation in a seminal wide ranging study scherer et al 1975 find little empirical evidence in support of multiplant economies moreover when these economies do exist they involve savings in nonproduction costs more recently in their comparative study of the performance of light water nuclear reactor power plants in the united states and france lester and mccabe 1993 do find empirical support for production cost savings due to information sharing about learning by doing between plants in his study of the adoption of thin slab casting in the steel industry ghemawat 1995 1997 finds that nucor achieved cost savings due to information sharing between plants regarding both construction and production costs however he attributes these multiplant economies to specific aspects of nucor s organizational structure and observes that other steel firms with different organizational structures did not achieve these same cost savings given these conflicting results the analysis in this article assumes that if there are multiplant economies they take the form of savings in nonproduction costs in this case a large firm need not have a greater incentive to adopt first its increase in profit from the adoption of a success in all its plants is certainly greater however the existence of nonproduction cost economies can reduce the incentive of a large firm to adopt first suppose there are two firms a large firm with two plants and a small firm with one plant also suppose that when the innovation is first installed in a plant the adopter must shut down that plant for a finite amount of time in order to learn if the innovation is a success or not this shut down time can be considered as an experimental period during which the firm trains workers produces and tests prototypes attempts to overcome any problems associated with the use of the new technology or makes any necessary changes in its existing organization

coordination without command stretching the scope of spontaneous order how far can we stretch the scope of spontaneous order gordon tullock s important work on the economics of non human societies shows how these societies are able to coordinate without command despite features economists typically see as limiting the scope of spontaneous order using tullock s insights i search for the human ant nest spontaneous institutional arrangements that create human cooperation despite the presence of these obstacles i find two significant examples of this both in precolonial africa the first demonstrates the effectiveness of spontaneous order in the face of threats of violent theft the second shows the effectiveness of spontaneous order in the face of social heterogeneity these cases suggest a broader scope for spontaneous order than conventional wisdom permits

on the relationship between impulse response analysis innovation accounting and granger causality we derive a general characterization of granger non causality between two vectors x and x in terms of impulse responses when a third vector of auxiliary variables x is also used to forecast it is observed that the usual characterizations of non causality in terms of impulse responses or variance decompositions can be misleading in such situations a numerical illustration is also provided