tracking the slowdown in long run gdp growth using a dynamic factor model that allows for changes in both the long run growth rate of output and the volatility of business cycles we document a significant decline in long run output growth in the united states our evidence supports the view that most of this slowdown occurred prior to the great recession we show how to use the model to decompose changes in long run growth into its underlying drivers at low frequencies a decline in the growth rate of labor productivity appears to be behind the recent slowdown in gdp growth for both the united states and other advanced economies when applied to real time data the proposed model is capable of detecting shifts in long run growth in a timely and reliable manner

short run forecasting of the euro dollar exchange rate with economic fundamentals abstract we propose a fundamentals based econometric model for the weekly changes in the euro dollar rate with the distinctive feature of mixing economic variables quoted at different frequencies the model obtains good in sample fit and more importantly encouraging out of sample forecasting results at horizons ranging from one week to one month specifically we obtain statistically significant improvements upon the hard to beat random walk model using traditional statistical measures of forecasting error at all horizons moreover our model obtains a great improvement when we use the direction of change metric which has more economic relevance than other loss measures with this measure our model performs much better at all forecasting horizons than a naive model that predicts the exchange rate as an equal chance to go up or down with statistically significant improvements

some empirical evidence on the effects of shocks to monetary policy on exchange rates this paper investigates the effects of shocks to u s monetary policy on exchange rates we consider three measures of these shocks orthogonalized shocks to the federal funds rate orthogonalized shocks to the ratio of nonborrowed to total reserves and changes in the romer and romer index of monetary policy in sharp contrast to the literature we find substantial evidence of a link between monetary policy and exchange rates specifically according to our results a contractionary shock to u s monetary policy leads to i persistent significant appreciations in u s nominal and real exchange rates and ii significant persistent deviations from uncovered interest rate parity in favor of u s interest rates

nowcasting mexico s short term gdp growth in real time a factor model versus professional forecasters we introduce a novel real time database for the mexican economy and propose a small scale mixed frequency dynamic factor model for nowcasting mexico s short term gdp growth in real time we compare our factor based backcasts nowcasts and forecasts with those of the consensus of the survey of professional forecasters during the period from the second quarter of 2008 through the second quarter of 2014 our results suggest that our factor based backcasts nowcasts and forecasts outperform those of the consensus of professional forecasters in real time comparisons despite some structural instability during the 2008 09 crisis and its aftermath in 2010

monetary policy and investment dynamics evidence from disaggregate data we use disaggregated data on the components of private fixed investment pfi to estimate industry level responses of real investment and capital prices to unanticipated monetary policy the response functions derive from a restricted large scale var estimated over 1959 2007 our results point to significant cross sector heterogeneity in the behavior of pfi prices and quantities for assets belonging to the equipment category of fixed investment we find that quantities rather than prices absorb most of the fallout from a policy shock by contrast the price effects tend to be higher and the output effects lower for nonresidential structures

evidence on the cross country transmission of monetary shocks the international transmission of monetary shocks between the us and canada is explored focusing on real variables such as consumption investment employment and the bilateral trade balance along with measures of us and canadian money the empirical analysis examines the impact of a monetary shock in one country on real activity in both countries the long run analysis provides evidence of cointegration among the variables and suggests that money plays an important role in the equilibrium relationships between the two countries variance decompositions and impulse response functions reveal interesting avenues of real transmission in the short run the short run analysis provides strong evidence that us monetary shocks affect real activity in both the usa and canada the analysis also indicates that canadian monetary disturbances affect canadian and us real activity and that many of these effects are similar in magnitude to the effects of us monetary shocks the importance of the nominal exchange rate

is the us dollar a suitable anchor for the newly proposed gcc currency responses of inflation and non oil output growth from the gulf cooperation council gcc countries to monetary policy shocks from the united states us were estimated to determine whether there is evidence to support the us dollar as the anchor for the proposed unified currency a structural vector autoregression identified with short run restrictions was employed for each country with fed funds rate as the us monetary policy instrument non oil output growth and inflation the main results suggest that for inflation the gcc countries show synchronised responses to monetary policy shocks from the us which are similar to inflation in the us and for non oil output growth there is no clear indication that us monetary policy can be as effective for the gcc countries as it is domestically consequently importing us monetary policy via a dollar peg may guarantee only stable inflation for the gcc countries not necessarily stable non oil output growth if the non oil output response is made conscientiously and there are concerns over the dollar s ability to perform its role as a store of value a basket peg with both the us dollar and the euro may be a sound alternative as confirmed by the variance decomposition analysis of our augmented svar with a proxy for the european short term interest rate

the identification of monetary policy disturbances explaining the liquidity puzzle abstract this paper examines recent work on the identification of monetary policy disturbances its main finding is that the empirical anomalies found in the literature reflect a failure to properly address the federal reserve s policy of accommodating reserve demand shocks a new method of identifying monetary policy using nonborrowed reserves is proposed using this specification policy has a strong persistent liquidity effect regardless of subsample policy granger causes output even in the presence of interest rates explaining approximately 49 of the variance in output at a two year horizon and the residual explanatory power of interest rates for output is negligible

policy relevant nonconvexities in the production of multiple forest benefits abstract this paper challenges common assumptions about convexity in forest rotation models which optimize timber plus nontimber benefits if a local optimum occurs earlier than the globally optimal age policy based on marginal incentives may achieve suboptimal results policy relevant nonconvexities are more likely if i nontimber benefits dominate for young stands while the optimal age depends primarily on timber benefits or ii nontimber benefits dominate for mature stands and also determine the optimal age nonconvexities may create either temporary or persistent difficulties policymakers may improve efficiency by exploiting the relationship between the timber only optimum and the global optimum

mixed frequency var models with markov switching dynamics this paper extends the markov switching vector autoregressive models to accommodate both the typical lack of synchronicity that characterizes the real time daily flow of macroeconomic information and economic indicators sampled at different frequencies the results of the empirical application suggest that the model is able to capture the features of the nber business cycle chronology very accurately

central bankers bureaucratic incentives and monetary policy 1 central bankers bureaucratic incentives and monetary policy an introduction i structure of central bank financing and bureaucratic rents 2 monetary policy theory and practice 3 inflationary bias of the federal reserve system a bureaucratic perspective 4 preliminary evidence on the use of inputs in the federal reserve system 5 human capital and bureaucratic inertia the use of inputs by the federal reserve ii the organization of central bank bureaus and the problems of control 6 the choice of monetary instruments and the theory of bureaucracy 7 bureaucratic theory and the choice of central bank goals 8 research activities and budget allocations among federal reserve banks 9 banking sector influence on the relationship of congress to the federal reserve system iii political pressures bureaucratic incentives and monetary policy 10 politics and fed policymaking 11 central bank independence an international comparison 12 a private central bank some olde english lessons iv conclusion 13 central bankers and the issue of independence contributors

harvest policies and nonmarket valuation in a predator prey system abstract although prey may not have commercial value their economic value can be ascertained in a predator prey model if the predator has a harvest value the economic optimal recovery path of the predator and prey are carefully described when growth is quadratic in the predator prey and linear in prey predator parameter values in part resembling pacific halibut are used to provide numerical illustrations

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

first branch or root the congress the president and the federal reserve much of the literature on the power of elected officials and bureaucratic agencies argues from an empirical perspective that bureaus appears to exercise autonomy in this paper a theoretical model sets out the conditions under which the congress the president and one agency we use the u s federal reserve as an extended example can dictate policy outcomes the results of the paper include the congressional dominance theorem if more than 2 3 of house members and more than 2 3 of senate members agree on something they get it the theorem is obvious the proof is in the u s constitution but often forgotten in the substantive literature more realistic results are derived for situations where the preferences of members of congress are more diverse powers of the president to influence policy with and without appointments are also analyzed

energy and resource allocation a dynamic model of the dutch disease it is well known that a domestic resource discovery gives rise to wealth effects that cause a squeeze of the tradeable good sector of an open economy the decline of the manufacturing sector following an energy discovery has been termed the dutch disease and has been investigated in many recent studies our model extends the principally static analyses to date by allowing for 1 short run capital specificity and long run capital mobility 2 international capital flows and 3 far sighted intertemporal optimizing behaviour by households and firms the model is solved by numerical simulation

real time macroeconomic monitoring real activity inflation and interactions the authors sketch a framework for monitoring macroeconomic activity in real time and push it in new directions in particular they focus not only on real activity which has received most attention to date but also on inflation and its interaction with real activity as for the recent recession the authors find that 1 it likely ended around july 2009 2 its most extreme aspects concern a real activity decline that was unusually long but less unusually deep and an inflation decline that was unusually deep but brief and 3 its real activity and inflation interactions were strongly positive consistent with an adverse demand shock this abstract was borrowed from another version of this item

short term gdp forecasting with a mixed frequency dynamic factor model with stochastic volatility in this article we develop a mixed frequency dynamic factor model in which the disturbances of both the latent common factor and of the idiosyncratic components have time varying stochastic volatilities we use the model to investigate business cycle dynamics in the euro area and present three sets of empirical results first we evaluate the impact of macroeconomic releases on point and density forecast accuracy and on the width of forecast intervals second we show how our setup allows to make a probabilistic assessment of the contribution of releases to forecast revisions third we examine point and density out of sample forecast accuracy we find that introducing stochastic volatility in the model contributes to an improvement in both point and density forecast accuracy supplementary materials for this article are available online

the dynamic eects of monetary policy a structural factor model approach we use the structural factor model proposed by forni giannone lippi and reichlin 2007 to study the eects of monetary policy the advantage with respect to the traditional vector autoregression model is that we can exploit information from a large data set made up of 112 us monthly macroeconomic series monetary policy shocks are identified using a standard recursive scheme in which the impact eects

consistent economic indexes for the 50 states in the late 1980s james stock and mark watson developed for the u s economy an alternative coincident index to the one now published by the conference board they used the kalman filter to estimate a latent dynamic factor for the national economy and designated the common factor as the coincident index this paper uses the stock watson methodology to estimate a consistent set of coincident indexes for the 50 states these indexes provide researchers with a comprehensive monthly measure of economic activity that can be used to examine a number of state and regional issues

open access harvesting of wildlife the poaching pit and conservation of endangered species abstract we extend the traditional g s model of open access by defining a non concave harvesting function we demonstrate the possible existence of multiple equilibria and perverse comparative statics and show that small changes in the underlying economic parameters may trigger large jumps in species abundance finally we briefly discuss implications for management

euromind d a density estimate of monthly gross domestic product for the euro area euromind d is a density estimate of monthly gross domestic product gdp constructed according to a bottom up approach pooling the density estimates of eleven gdp components by output and expenditure type the components density estimates are obtained from a medium size dynamic factor model of a set of coincident time series handling mixed frequencies of observation and ragged edged data structures they reflect both parameter and filtering uncertainty and are obtained by implementing a bootstrap algorithm for simulating from the distribution of the maximum likelihood estimators of the model parameters and conditional simulation filters for simulating from the predictive distribution of gdp both algorithms process sequentially the data as they become available in real time the gdp density estimates for the output and expenditure approach are combined using alternative weighting schemes and evaluated with different tests based on the probability integral transform and by applying scoring rules

bureaucratic discretion or congressional control regulatory policymaking by the federal trade commission this paper extends stigler and peltzman s approach to regulation by incorporating a legislature the model yields comparative statics results and hence testable implications the paper then tests between two opposing approaches about regulatory agency behavior the first assumes agencies operate independently of the legislature and hence exercise discretion the second assumes that congress controls agency decisions the recent behavior of the federal trade commission provides the empirical setting substantial evidence is found for the specific predictions of the model including the hypothesis of systematic congressional influence over ftc decisions

the demise of the public interest model of the federal reserve system the political economy of american monetary policy cambridge university press cambridge 19901 edited by thomas mayer is a collection of one previously published and eighteen unpublished works that seeks to review consolidate and extend the growing literature on a positive theory of the federal reserve system a major theme of the collection is that the traditional public interest view of the fed has little to offer as a guide to understanding the behavior of federal reserve officials at the same time the collection offers a word of caution to practitioners of the positive theory who use a naive public choice approach according to this subplot a narrow self interest approach to the fed is not much better than the traditional alternative a general theory of the federal reserve system requires the right blend of the best elements from the staid public interest view and the renegade public choice view as a review of the current state of the literature this collection of works has much to offer the book is at its best in posing questions that force not only the public interest proponent but also the naive public choice theorist to rethink their positions the book is less useful i think as a road map to future research in contrast to this book s premise the problem i see with the naive public choice approach is not that it has been too radical but that it has not been radical enough the renegade assumption that fed decisionmakers are self interested utility maximizers is misleading only when used within the context of a misspecified model of the macroeconomy i argue in this review essay that the next discrete step in the evolution of a positive theory of central banking is to supplement the self interest assumption with

business cycle turning points a new coincident index and tests of duration dependence based on a dynamic factor model with regime switching the synthesis of the dynamic factor model of stock and watson 1989 and the regime switching model of hamilton 1989 proposed by diebold and rudebusch 1996 potentially encompasses both features of the business cycle identified by burns and mitchell 1946 1 comovement among economic variables through the cycle and 2 nonlinearity in its evolution however maximum likelihood estimation has required approximation recent advances in multimove gibbs sampling methodology open the way to approximation free inference in such non gaussian nonlinear models this paper estimates the model for u s data and attempts to address three questions are both features of the business cycle empirically relevant might the implied new index of coincident indicators be a useful one in practice do the resulting estimates of regime switches show evidence of duration dependence the answers to all three would appear to be yes

a new coincident index of business cycles based on monthly and quarterly series maximum likelihood factor analysis of time series is possible even when some series are quarterly and others are monthly treating quarterly series as monthly series with missing observations and replacing them with artificial observations independent of the model parameters one can apply the kalman filter to a state space representation of a factor model and evaluate the likelihood function an application to quarterly real gdp and monthly coincident business cycle indicators gives a new coincident index of business cycles the new index is essentially the smoothed estimate of latent monthly real gdp and should improve upon the stock watson index

how well does sticky information explain the dynamics of inflation output and real wages abstract this paper finds that a model with sticky information is less successful than a standard model featuring nominal rigidities inflation indexation and habits in generating the dynamics triggered by technology shocks as estimated by a vector autoregression using u s macroeconomic data the real wage responses after a permanent increase in productivity clearly favor the standard model the sticky information model fails to replicate the observed inertial response in the real wage whereas the standard model relies on inflation indexation in wage setting to achieve a better fit the two models are however statistically equivalent after a shock in monetary policy

congressional influence on u s monetary policy abstract congressional influence is generally discounted or ignored in political models of federal reserve behavior here i show that changes in the leadership of the senate banking committee are significantly correlated with monetary base growth more liberal committee leaders are associated with significantly higher base growth other factors held constant the result is shown to hold across several econometric specifications and different definitions of the congressional preference variable

dynamic effects of credit shocks in a data rich environment we examine the dynamic effects of credit shocks using a large dataset of u s economic and financial indicators in a structural factor model an identified credit shock resulting in an unanticipate

opportunity cost estimation of ecosystem services land use changes rank among the most significant drivers of change in ecosystem services worldwide the enhancement of important services such as biodiversity and carbon sequestration requires modifications in land use that can lead to the decline in other ecosystems services targeting the most suitable areas for particular land uses based on comparative advantages requires opportunity cost information across large regions this is a demanding task because the input output relations are ill defined and determined by spatially heterogeneous operational and environmental conditions to address this methodological challenge this paper presents a two stage semiparametric technique that enables multi dimensional production possibility frontiers to be estimated from data provided by biophysical models specific advantages of the proposed frontier approach are its flexibility with regard to assumptions on the convexity of the production possibility set and its freedom from any separability assumptions for the input output space and the space of the heterogeneous background variables the method is illustrated for a case study of 18 central and eastern european countries results show that opportunity costs of changes in ecosystem services provision differ substantially between regions those areas having already relatively high levels of carbon sequestration have a comparative advantage in sequestering carbon opportunity costs of biodiversity are generally positively related with the level of biodiversity up to a turning point after which they are negatively related to illustrate the policy consequences of the observed economies and diseconomies of scope we compare two management regimes to illustrate the potential gains from smart land management

the new economics of organization over the last ten years or so an important new approach to the study of organizations has emerged within economics it is perhaps best characterized by three elements a contractual perspective on organizational relationships a theoretical focus on hierarchical control and formal analysis via principal agent models this paper provides political scientists with an overview of the new economics of organization and explores its implications for the study of public bureaucracy so far positive political theory has not contributed much to our understanding of public bureaucracy in part this is due to the unsympathetic treatment that rational modeling and most other modes of quantitative analysis have long received from students of public administration the other side of the coin however is that positive theorists have not made much of an effort to develop theories of bureaucracy their concerns have centered around two basic mechanisms of social choice voting and markets and they have devoted little systematic attention to a third mechanism that is clearly important for understanding how societies and other aggregates make collective decisions this third and relatively unexplored mechanism is hierarchy movement toward a positive theory of hierarchies would fill a serious gap in the social choice literature while at the same time making a theoretical contribution that strikes to the essence of public bureaucracy indeed of all organizations in fact significant steps toward a positive theory of hierarchies have very recently been taken but by economists not political scientists in small numbers of course economists made contributions to the study of public bureaucracy some time ago with the pioneering works of downs 1967 tullock 1965 and niskanen 1971 but this new wave of theoretical work is different it is already a large complex body of literature that is the focus of innovation and excitement among a growing number of economists and it reflects an unusual degree of theoretical coherence and cumulative effort work in this tradition tends to receive orientation from a distinctive economic approach to the analysis of organizations an approach perhaps best characterized by three elements a contractual perspective on organizational relationships a focus on hierarchical control and formal analysis via principal agent models this approach has emerged from recent attempts to move beyond the neoclassical theory of the firm which assumes away all organizational considerations to a theory of economic organizations that can explain why firms corporations and other enterprises behave as they do propo

commodity price volatility with endogenous natural resources abstract natural resource reserves are exogenous in models of small commodity exporters changes in the stock of reserves play no role in the macroeconomy including in business cycle volatility trade dynamics or exchange rate volatility we consider richer supply dynamics and model exploration and depletion we show that an endogenous supply of reserves is important for capturing the stylised facts associated with commodity price shocks including a commodity currency the crowding out of non commodity activity dutch disease and a volatile business cycle we also consider how exploration and depletion affect the ranking of optimal monetary and taxation policies when natural resource reserves are held fixed monetary policy is an efficient tool for stabilising the effects of commodity price shocks however when exploration and depletion are accounted for using interest rates to stabilise the effects of commodity price changes becomes inefficient using taxes on the resource sector specifically an ad valorem royalty remains efficient

on the existence of a political monetary cycle this paper examines electoral influence on monetary policy as measured by ml money growth i find a significant four year electoral cycle in money growth even when controlling for the influence of interest rates income and budget deficits further the residual electoral cycle produces the income and inflation movements associated with the political business cycle when it is used in simulations of simple reduced form macro models the paper concludes by discussing the difficulties in rationalizing cyclical monetary policy with rational expectations

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

biology as a source of non convexities in ecological production functions generating ecological production functions including harvest yield functions is a high priority research area most yield functions used in economics and ecology rely on convexity properties of species growth functions but convexity is shown here to depend on whether realistic biology is incorporated optimizing behavior by individual organisms is connected with species population dynamics in order to derive growth functions in a general equilibrium ecosystem model non convexities are shown to be an inherent property of the growth functions owing to familiar biological processes including predator prey and competitive relations predator satiation and prey substitution the growth functions generate yield functions that are problematic for management because they exhibit kinked average revenue curves discontinuous marginal revenue curves and knife edge optimum effort levels where a small increase above the optimum effort can rapidly deplete the stock these phenomena can be explained entirely by the underlying biological processes

dissecting the cycle a methodological investigation following burns and mitchell we define the cycle as a pattern in the level of aggregate economic activity an algorithm to locate turning points is developed as is a new measure of pro cyclicality a link between turning points and the moments of the series is established thereby providing the statistical foundation that burns and mitchell s work lacked using these tools we are able to dissect cycles in terms of the contributions made by trend growth volatility serial correlation and non linear effects we dissect several models and find little evidence that certain non linear effects are important to the nature of business cycles

regional output growth in the united kingdom more timely and higher frequency estimates from 1970 output growth estimates for the regions of the uk are currently published at the annual frequency only and are released with a long delay regional economists and policymakers would benefit from having higher frequency and more timely estimates in this paper we develop a mixed frequency vector autoregressive mf var model and use it to produce estimates of quarterly regional output growth temporal and cross sectional restrictions are imposed in the model to ensure that our quarterly regional estimates are consistent with the annual regional observations and the observed quarterly uk totals we use a machine learning method based on the hierarchical dirichlet laplace prior to ensure optimal shrinkage and parsimony in our over parameterised mf var thus this paper presents a new regional quarterly database of nominal and real gross value added dating back to 1970 we describe how we update and evaluate these estimates on an ongoing quarterly basis to publish online at www escoe ac uk regionalnowcasting more timely estimates of regional economic growth we illustrate how the new quarterly data can be used to contribute to our historical understanding of business cycle dynamics and connectedness between regions

the political economy of american monetary policy preface 1 introduction thomas mayer 2 studying the fed towards a broader public choice perspective thomas willett 3 the federal reserve reaction function a specification search salwa khouri 4 corporate profitability as a determinant of restrictive monetary policy estimates for the post war united states gerald epstein and juliet schor 5 federal reserve behavior since 1980 a financial market perspective william melton and v vance roley 6 the federal reserve and its institutional environment a review michael munger and brian roberts 7 the political economy of monetary policy robert hetzel 8 political monetary cycles nathaniel beck 9 congress and the fed why the dog does not bark in the night nathaniel beck 10 the federal reserve as a political power james pierce 11 monetary policy and political economy the federal reserve and the bank of japan thomas cargill and michael hutchinson 12 a positive analysis of the policymaking process at the federal reserve raymond lombra and nicholas karamouzis 13 a theory of fomc dissent voting with evidence from the time series thomas havrilesky and robert schweitzer 14 explaining fomc members votes john gildea 15 fed behaviour and x efficiency theory toward a general framework harinder singh and roger frantz 16 minimizing regret cognitive dissonance as an explanation of fomc behavior thomas mayer 17 the discount window william poole 18 leaning against the wind the behavior of the money stock in recession and recovery 1953 8 elmus wicker 19 bureaucratic self interest as an obstacle to monetary reform edward kane index

the economics of non convex ecosystems introduction the word convexity is ubiquitous in economics but absent from economics in this paper we explain why and show what difference it makes to economic analysis if ecosystem non convexities are taken seriously a simple proof is provided of the connection between self similarity and power laws we also provide an introduction to each of the papers in the symposium and draw out the way in which they form a linked set of contributions

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

the congressional bureaucratic system a principal agent perspective with applications to the sec this paper provides the theoretical perspective and empirical support for congressional dominance of agency decisions my thesis is twofold first because much of the previous evidence on this question is not evidence at all many scholars intuition and conclusions are based on a logically flawed foundation second i have provided here and in previous work a look at a variety of different agencies and in each case have shown how the events can plausibly be interpreted as involving congress agency problems within the congressional bureaucratic system are real and substantial just as they are within corporations however as in the latter institutional forms develop within the congressional system to partially if not wholly mitigate these problems the logical perspective together with the evidence provide a strong case against the agency dominance hypothesis as typified by the early sections of niskanen 1971 and wilson 1980

curtailing the black box german banking groups in the transmission of monetary policy abstract the paper examines the role of portfolio decisions of german banking groups in the transmission of monetary policy a small econometric model is augmented with segregated bank balance sheet variables in order to study potentially different effects of tight money on these variables the results provide evidence for banks playing an active role in the transmission process and are beneficial for two fields of research the findings indicate sectoral differences of monetary policy in line with transmission models based on informational frictions in addition the results lend econometric support to the existence of close bank customer ties for certain banking groups in germany whereas large banks adjust their credit position markedly following a monetary shock the smaller savings banks and credit cooperatives seem to shield their customers from the brunt of a policy tightening

do exchange rate shocks have asymmetric effects on reserve accumulation evidence from emerging markets it is generally argued that central banks in emerging market countries motivated by a desire to defend export competitiveness tend to intervene in foreign exchange markets to limit currency appreciations rather than depreciations using panel data from 13 emerging market countries for the period 1998 m1 to 2016 m12 we find that exchange rate shocks play an important role in determining the accumulation of international reserves moreover we find evidence that central banks in emerging markets tend to follow a leaning against the depreciation wind policy rather than the appreciation wind i e we provide evidence of a fear of depreciation

optimal harvesting of ecologically interdependent fish species abstract the optimal exploitation of a two species predator prey system is considered using lotka volterra type equations due to the density dependence of ecological efficiency both species should be harvested simultaneously over a range of relative prices beyond the limits of this price range either the prey species should be utilized indirectly by harvesting the predator or the predator should be eliminated to maximize the prey yield neglecting harvesting costs the simultaneous harvest of prey and predators requires that a unit of prey biomass increase in value by being processed by predators certain results from single species fishery models are shown not to apply to multispecies models these are as follows i optimal regulation of a free access fishery may call for subsidizing instead of taxing the harvest of predator species ii increasing the discount rate may at moderate levels imply that the optimal standing stock of biomass increases instead of decreasing iii a rising price or a falling cost per unit fishing effort of a species may raise and not lower the optimal standing stock of that species

indeterminacy change points and the price puzzle in an estimated dsge model abstract we extend lubik and schorfheide s 2004 testing for indeterminacy an application to u s monetary policy american economic review 94 190 217 likelihood based estimation of dynamic stochastic general equilibrium dsge models under indeterminacy to encompass a sample period the includes both determinacy and indeterminacy by implementing a change point methodology chib s 1998 estimation and comparison of multiple change point models journal of econometrics 86 221 241 by letting the data provide estimates of the dates of the determinacy regimes and allowing the estimates of structural parameters to be the same across regimes we obtain more precise estimates of the differences in characteristics such as the impulse responses across the regimes the most striking finding about the indeterminacy regime which is estimated to coincide with the great inflation of the 1970s is that it exhibits the price puzzle in that the inflation rate rises immediately and in a sustained manner following a positive interest rate shock thus the price puzzle might have been a genuine phenomenon under indeterminacy rather than a false finding to be excised through specification search and parameter restrictions

exchange rate stabilization in the erm identifying european monetary policy reactions abstract we develop the structural var models for european countries france denmark and germany during the erm period to examine the monetary policy reactions especially the within erm exchange rate stabilization in addition to analyzing the impulse responses and variance decomposition we present the full monetary reaction function in an interpretable manner without introducing additional assumptions the results suggest some asymmetry in exchange rate stabilization non german exchange rate stabilization is stronger than german exchange rate stabilization but do not support the hypothesis that german monetary policy was independent of the erm

reconsidering monetary policy an empirical examination of the relationship between interest rates and nominal gdp growth in the u s u k germany and japan abstract the rate of interest the price of money is said to be a key policy tool economics has in general emphasised prices this theoretical bias results from the axiomatic deductive methodology centring on equilibrium without equilibrium quantity constraints are more important than prices in determining market outcomes in disequilibrium interest rates should be far less useful as policy variable and economics should be more concerned with quantities including resource constraints to investigate we test the received belief that lower interest rates result in higher growth and higher rates result in lower growth examining the relationship between 3 month and 10 year benchmark rates and nominal gdp growth over half a century in four of the five largest economies we find that interest rates follow gdp growth and are consistently positively correlated with growth if policy makers really aimed at setting rates consistent with a recovery they would need to raise them we conclude that conventional monetary policy as operated by central banks for the past half century is fundamentally flawed policy makers had better focus on the quantity variables that cause growth

forecasting with medium and large bayesian vars this paper is motivated by the recent interest in the use of bayesian vars for forecasting even in cases where the number of dependent variables is large in such cases factor methods have been traditionally used but recent work using a particular prior suggests that bayesian var methods can forecast better in this paper we consider a range of alternative priors which have been used with small vars discuss the issues which arise when they are used with medium and large vars and examine their forecast performance using a us macroeconomic dataset containing 168 variables we find that bayesian vars do tend to forecast better than factor methods and provide an extensive comparison of the strengths and weaknesses of various approaches typically we find that the simple minnesota prior forecasts well in medium and large vars which makes this prior attractive relative to computationally more demanding alternatives our empirical results show the importance of using forecast metrics based on the entire predictive density instead of relying solely on those based on point forecasts

an alternative explanation of the price puzzle abstract this paper proposes an explanation for the frequent appearance of a price puzzle in vars designed for monetary policy analysis it assumes that the data are generated by a model in which output and output gap are not equivalent while an econometrician follows the common practice of including only output in the var the omission of the output gap is shown to spuriously produce a price puzzle and several other incorrect conclusions in a class of commonly used models this can happen even if the model admits a triangular identification and if the forecasts produced by the misspecified var are optimal when the model is tested on us data all predictions are supported a commodity price index is not needed to solve the puzzle

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

intermediate monetary targets and macroeconomic fluctuations it is investigated whether the choice of intermediate target has altered macroeconomic fluctuations and whether the observed changes are consistent with predictions from economic theory since implications from the theoretical literature focus on the effects of structural disturbances an empirical analysis must identify these effects the structural vector autoregressive var technique estimates structural disturbances using restrictions from standard macroeconomic theory based on descriptions of actual targeting procedures by insiders to federal reserve policy decisions the intermediate target for the united states is identified as the interest rate from 1951 to 1969 and money from 1970 to 1986 var models are estimated over each subsample to assess whether the estimated structural disturbances cause endogenous variables to behave as economic theory predicts tests are also performed to assess whether or not the targeting rule affects the variance of endogenous variables attributable to structural sh

has monetary policy become more effective we investigate the implications of changes in the structure of the u s economy for monetary policy effectiveness estimating a vector autoregression over the pre and post 1980 periods we provide evidence of a reduced effect of monetary policy shocks in the latter period we estimate a structural model that replicates well the economy s response in both periods and perform counterfactual experiments to determine the source of the change in the monetary transmission mechanism and in the economy s volatility we find that by responding more strongly to inflation expectations monetary policy has stabilized the economy more effectively in the post 1980 period

the franc shock and swiss gdp how long does it take to start feeling the pain abstractthe article addresses the question on what is the typical time horizon over which a full transmission of movements in the real exchange rate takes place into real economy we base our analysis on the mixed frequency small scale dynamic factor model dfm proposed by siliverstovs in 2012 fitted to the swiss data in this article we augment the benchmark model with the real exchange rate of the swiss franc vis a vis currencies of its 24 trading partners while keeping the rest of model specification intact we are interested in investigating the relationship between the common latent factor representing the swiss business cycle and the real exchange rate we explore the temporal relationship between these two variables by varying the time lag with which the real exchange rate enters the factor model by recording the magnitude and statistical significance of the factor loading coefficient in the equation pertaining to the real exchange rate variable our main conclusion is that the fluctuations in

bureaucratic structure and congressional control the interest group theory of government stigler 9 peltzman 7 has generated many valuable insights into the workings of the political process although subsequent contributions to this literature mccormick and tollison 6 for example have extended the theory to explain a wide variety of government behavior the discussion of the political process tends to be carried out in terms of the interests of groups within the polity that either demand or supply wealth and those of the legislators who broker the transfers little attention is normally paid to the bureaucratic organizations that enforce and indeed often set the policies that the legislature wishes to put in place exceptions are eckert 1 who discussed how the personal incentives of regulators affect policy choices as a function of the costs and rewards of serving on a commission versus being employed by a bureaucratic agency and ehrlich and posner 2 who offered a useful theoretical exposition based on legislative decision costs of why congress delegates programs and policies to bureaus in addition faith leavens and tollison 3 and weingast and moran 10 have shown that the composition of important oversight committees influences bureaucratic policymaking initiatives

the price puzzle in the monetary transmission vars with long run restrictions abstract this study addresses the price puzzle a positive response of prices to monetary tightening in var models by using long run instead of the usual short run restrictions on the us data including output prices and interest rate we find that monetary tightening had a negative effect on prices

metro business cycles abstract we construct monthly economic activity indices for the 50 largest u s metropolitan statistical areas msas beginning in 1990 each index is derived from a dynamic factor model based on twelve underlying variables capturing various aspects of metro area economic activity to accommodate mixed frequency data and differences in data publication lags we estimate the dynamic factor model using a maximum likelihood approach that allows for arbitrary patterns of missing data our indices highlight important similarities and differences in business cycles across msas while a number of msas experience sizable recessions during the national recessions of the early 1990s and early 2000s other msas escape recessions altogether during one or both of these periods nearly all msas suffer relatively deep recessions near the recent great recession but we still find significant differences in the depth of recent metro recessions we relate the severity of metro recessions to a variety of msa characteristics and find that msas with less educated populations and less elastic housing supplies experience significantly more severe recessions after controlling for national economic activity we also find significant evidence of dynamic spillover effects in economic activity across msas

monetary policy housing rents and inflation dynamics in this paper we study the effect of monetary policy shocks on housing rents our main finding is that in contrast to house prices housing rents increase in response to contractionary monetary policy shocks we also find that after a contractionary monetary policy shock rental vacancies and the homeownership rate decline this combination of results suggests that monetary policy may affect housing tenure decisions own versus rent in addition we show that with the exception of the shelter component all other main components of the consumer price index cpi either decline in response to a contractionary monetary policy shock or are not responsive these findings motivated us to study the statistical properties of alternative measures of inflation that exclude the shelter component we find that measures of inflation that exclude shelter have most of the statistical properties of the widely used measures of inflation such as the cpi and the price index for personal consumption expenditures but have higher standard deviations and react more to monetary policy shocks finally we show that the response of housing rents accounts for a large proportion of the price puzzle found in the literature

monetary policy shocks and foreign investment income evidence from a large bayesian var abstract this paper assesses the transmission of monetary policy in a large bayesian vector autoregression based on the approach proposed by banbura et al 2010 the paper analyzes the impact of monetary policy shocks in the united states and canada not only on a range of domestic aggregates trade flows and exchange rates but also foreign investment income the analysis provides three main results first a surprise monetary policy contraction has a statistically important impact on both gross and net foreign investment income flows in both countries against the background of growing foreign wealth and investment income this result provides preliminary evidence that foreign balance sheet channels might play an increasingly significant role for monetary transmission second the impact of monetary policy on foreign investment income flows differs considerably across asset categories and over time suggesting that the investment instruments and the currency denomination of a country s foreign assets and liabilities are potentially relevant for the way in which monetary policy affects the domestic economy finally the results support existing evidence on the effectiveness of large vector autoregressions and the bayesian shrinkage approach in eliminating price and exchange rate puzzles

an econometric characterization of business cycle dynamics with factor structure and regime switching a dynamic factor model with regime switching is proposed as an empirical characterization of business cycles the approach integrates the idea of comovements among macroeconomic variables and asymmetries of business cycle expansions and contractions the first is captured with an unobservable dynamic factor and the second by allowing the factor to switch regimes the model is estimated by maximizing its likelihood function and the empirical results indicate that the combination of these two features leads to a successful representation of the data relative to extant literature this holds for within and out of sample and for both revised and real time data copyright 1998 by economics department of the university of pennsylvania and the osaka university institute of social and economic research association

short term forecasting with mixed frequency data a midasso approach abstractin this article we extend the targeted regressor approach suggested in bai and ng 2008 for variables sampled at the same frequency to mixed frequency data our midasso approach is a combination of the unrestricted mixed frequency data sampling approach u midas see foroni et al 2015 castle et al 2009 bec and mogliani 2013 and the lasso type penalized regression used in bai and ng 2008 called the elastic net zou and hastie 2005 we illustrate our approach by forecasting the quarterly real gdp growth rate in switzerland

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

presidential elections and federal reserve policy an empirical test traditional macro economic models of federal reserve fed behavior typically assume that the fed enjoys a well defined objective function based on social welfare and generally predict counter cyclical monetary policy the increasing observation of procyclical monetary policy has led many researchers to investigate new models of fed behavior several recent papers imply that procyclical fed behavior is due to a lack of political accountability friedman 7 toma 23 and shughart and tollison 21 all attribute considerable bureaucratic discretion to the fed and seek to explain monetary policy by examining typical bureaucratic objectives other papers such as pierce 19 20 weintraub 26 and kane 10 11 argue that the fed operates in an arena filled with political constraints that cause sub optimal monetary policy but these constraints are not modeled explicitly one possible political constraint on fed behavior is the incumbent president s desire for re election in the political business cycle pbc literature presidential re election opportunities are enhanced by the production of a precise set of inflation and unemployment outcomes leading up to the election thus to the extent that presidents desire cyclical macro economic outcomes there will be executive pressure on the fed to create or accommodate such outcomes the effect this pressure will have on fed policy is ultimately an empirical question but most models deal with it by assumption traditional macro modeling assumes a zero effect while the pbc models implicitly assume that a favorable election cycle is a primary goal of all economic policymakers this paper examines presidential influence on the federal reserve by testing for an election cycle in money growth the major result is the identification of a regular 16 quarter cycle in money growth corresponding with presidential elections this cyclical effect is found to be stable over time and significant under a wide range of model specifications further when the cyclical component of money growth is used to simulate a simple macro model it produces a classic political business cycle in inflation and real output growth

monetary shocks in the g 6 countries is there a puzzle les auteurs cherchent a clarifier la dynamique du mecanisme de transmission de la politique monetaire l identification des chocs de politique monetaire est au coeur de ce genre d analyse divers chercheurs ont reussi recemment a isoler de tels chocs en imposant des restrictions de suridentification a des modeles vectoriels autoregressifs var

combining time variation and mixed frequencies an analysis of government spending multipliers in italy summary in this paper we propose a time varying parameter vector autoregression var model with stochastic volatility which allows for estimation on data sampled at different frequencies our contribution is twofold first we extend the methodology developed by cogley and sargent drifts and volatilities monetary policies and outcomes in the post wwii u s review of economic studies 2005 8 262 302 and primiceri time varying structural vector autoregressions and monetary policy review of economic studies 2005 72 821 852 to a mixed frequency setting in particular our approach allows for the inclusion of two different categories of variables high frequency and low frequency into the same time varying model second we use this model to study the macroeconomic effects of government spending shocks in italy over the 1988 q4 2013 q3 period italy as well as most other euro area economies is characterized by short quarterly time series for fiscal variables whereas annual data are generally available for a longer sample before 1999 our results show that the proposed time varying mixed frequency model improves on the performance of a simple linear interpolation model in generating the true path of the missing observations second our empirical analysis suggests that government spending shocks tend to have positive effects on output in italy the fiscal multiplier which is maximized at the 1 year horizon follows a u shape over the sample considered it peaks at around 1 5 at the beginning of the sample it then stabilizes between 0 8 and 0 9 from the mid 1990s to the late 2000s before rising again to above unity during the recent crisis copyright 2015 john wiley sons ltd

pricing the ecosystem and taxing ecosystem services a general equilibrium approach abstract in an integrated dynamic general equilibrium model of the economy and the ecosystem humans and other species compete for land and prey biomass each submodel exhibits a price driven competitive allocation mechanism and the endogenously determined habitat is either openly accessible or privately owned in both scenarios specific corrective taxes or subsidies are needed to internalize ecosystem externalities an open access habitat causes additional inefficiencies through diverging prices for biomass and land in both subsystems values of all ecosystem components are determined in an efficient steady state clarifying the role and the interplay of ecosystem prices and economic prices

the effect of monetary policy shocks on macroeconomic variables evidence from the eurozone this paper investigates how european central bank ecb monetary policy shocks impact industrial production output and inflation prices i gather a novel dataset of macroeconomic forecasts and using a narrative approach i construct a new measure of monetary policy shocks industrial production responds to an unpredictable positive monetary policy shock of 100 basis points with a decline of over 0 5 on the contrary inflation responds weakly with a very modest decrease of 0 05

tinbergen and tipping points could some thresholds be policy induced abstract thresholds and tipping points that are characteristic of dynamic multi stability are increasingly prominent touchstones of the science policy interface prior economic work has shown thresholds arising in convex concave ecological models that exclude humans may disappear in models of coupled economic ecological systems when economic agents are included as part of the system less well understood is how this result may depend on the ability of humans to manage complex systems we examine the role of institutions that condition the available management choices we find institutional restrictions do not generate non convexities when the ecological system is well behaved but that these restrictions may generate non convexities when the ecological system is convex concave these results are tied to the concept of path controllability which is when managers have sufficient controls to guide the system across the state space path controllability is the dynamic version of the tinbergen rule and generally requires separate controls to manage each possible ecological externality we link the concepts of ecosystem externalities thresholds and path controllability to provide new economic insights into problems with the potential for multi stability and we illustrate the importance of institutions for managing convex concave systems

toward a more reliable picture of the economic activity an application to argentina abstract we advocate a dynamic factor model to provide alternative measures of output data using indirect information from economic indicators we apply the method to show evidence of a significant gap between estimated and official measures of argentine gdp since 2007

real time forecasting of inflation and output growth with autoregressive models in the presence of data revisions we examine how the accuracy of real time forecasts from models that include autoregressive terms can be improved by estimating the models on lightly revised data instead of using data from the latest available vintage the benefits of estimating autoregressive models on lightly revised data are related to the nature of the data revision process and the underlying process for the true values empirically we find improvements in root mean square forecasting error of 2 4 when forecasting output growth and inflation with univariate models and of 8 with multivariate models we show that multiple vintage models which explicitly model data revisions require large estimation samples to deliver competitive forecasts copyright 2012 john wiley sons ltd

new index of coincident indicators a multivariate markov switching factor model approach abstract this paper extends the univariate markov switching unobserved component model to the multivariate markov switching factor model of coincident economic indicators an approximate ml method is developed to estimate the model the extracted markov switching factor may be interpreted as the coincident index and is comparable to the stock watson index which differs only by the markov switching component using four constituent series of the doc coincident index for the period january 1960 to june 1992 the proposed model generates recessionary and expansionary periods which are remarkably consistent with the nber chronology of the business cycles from the noisy monthly data this paper also finds that duration dependence does matter

an indicator of monthly gdp and an early estimate of quarterly gdp growth a range of monthly series are currently available giving indications of short term movements in output in the uk the main aim of this paper is to suggest a formal and coherent procedure for grossing these monthly data up to represent the whole of gdp although the resultant estimates of gdp would be worse than those obtained by direct measurement they should be more satisfactory than simply making an informal inference from whatever monthly data are available our examination of the efficacy of the method for estimation of the state of economic activity indicates a rather satisfactory outcome macroeconomic policy making in real time faces the perennial problem of uncovering what is actually happening to the economy movements of seasonally adjusted real gdp referred to subsequently simply as gdp and related estimates of the output gap are widely regarded as important predictors of future inflation and thus are relevant to the problem of inflation targeting estimates of gdp are typically produced quarterly with the first estimates in the uk available about 25 days after the end of the quarter to which they relate 1 in many countries

introducing the euro sting short term indicator of euro area growth we set out a model to compute short term forecasts of the euro area gdp growth in real time to allow for forecast evaluation we construct a real time dataset that changes for each vintage date and includes the exact information that was available at the time of each forecast with this dataset we show that our simple factor model algorithm which uses an easy to replicate methodology is able to forecast the euro area gdp growth as well as professional forecasters who can combine the best forecasting tools with the possibility of incorporating their own judgement in this context we provide examples showing how data revisions and data availability affect point forecasts and forecast uncertainty copyright 2010 john wiley sons ltd