towards an attention based view of the firm the central argument is that firm behavior is the result of how firms channel and distribute the attention of their decision makers what decision makers do depends on what issues and answers they focus their attention on what issues and answers they focus on depends on the specific situation and on how the firm s rules resources and relationships distribute various issues answers and decision makers into specific communications and procedures the paper develops these theoretical principles into a model of firm behavior and presents its implications for explaining firm behavior and adaptation 1997 by john wiley sons ltd

erratum to why has u s inflation become harder to forecast the article journal of money credit and banking supplement to vol 39 no 1 february 2007 contains errors in figures 2 4 and tables 4 5 associated with a coding error in our program for estimating the uc sv model we thank ling hu of platinum grove asset management for finding this error and bringing it to our attention the corrected uc sv rows for tables 4 and 5 are given below corrected versions of figures 2 4 and corrected replication files can be found at http www princeton edu mwatson

the effects of the ecb s expanded asset purchase programme abstract this paper provides empirical evidence on the financial and macroeconomic impact of the news associated to the announcement launching the ecb s expanded asset purchase programme app we proxy the app announcement shock with an announcement variable derived from the institutional features of the app and survey based evidence the variable is used in a time varying coefficient var model with stochastic volatility to estimate the effects of the announcement shock the evidence suggests that this shock had a significant upward effect on both real economic activity and hicp inflation in the euro area the response of long term interest rates gave rise to a flattening of the yield curve in the short term followed by a steepening in the medium term several channels of transmission appear to have been activated including the portfolio rebalancing channel the exchange rate channel and the credit channel

two faces effects of business groups on innovation in emerging economies this paper shows that business groups in emerging economies exert dual effects on innovation while groups facilitate innovation by providing institutional infrastructure groups also discourage innovation by creating entry barriers for nongroup firms and thereby inhibit the proliferation of new ideas this pattern reflects an evolutionary process in which the interplay of the availability of innovation infrastructure and variety of ideas influences the level of innovation in an industry we show that group market share has an inverted u impact on innovation in industrial sectors of both korea and taiwan during the 1981 1995 period institutional differences between korea and taiwan in terms of market structure and industrial policies lead to different innovation thresholds the point at which the marginal costs of increasing group share begin to dominate the marginal benefits in the two countries

why has u s inflation become harder to forecast we examine whether the u s rate of price inflation has become harder to forecast and to the extent that it has what changes in the inflation process have made it so the main finding is that the univariate inflation process is well described by an unobserved component trend cycle model with stochastic volatility or equivalently an integrated moving average process with time varying parameters this model explains a variety of recent univariate inflation forecasting puzzles and begins to explain some multivariate inflation forecasting puzzles as well

structural evolution of the postwar u s economy we consider a time varying parameter vector autoregressive model with stochastic volatility and mixture innovations to study the empirical relevance of the lucas critique for the postwar u s economy the model allows blocks of parameters to change at endogenously estimated points of time contrary to the lucas critique there are large changes at certain points of time in the parameters associated with monetary policy that do not correspond to changes in reduced form parameters for inflation or the unemployment rate however the structure of the u s economy has evolved considerably over the postwar period with an apparent reduction in the late 1980s in the impact of monetary policy shocks on inflation though not on the unemployment rate related we find changes in the phillips curve tradeoff between inflation and cyclical unemployment measured as the deviation from the time varying steady state unemployment rate implied by the model in the 1970s and especially since the mid 1990s

real time density forecasts from bayesian vector autoregressions with stochastic volatility central banks and other forecasters are increasingly interested in various aspects of density forecasts however recent sharp changes in macroeconomic volatility including the great moderation and the more recent sharp rise in volatility associated with increased variation in energy prices and the deep global recession pose significant challenges to density forecasting accordingly this paper examines with real time data density forecasts of u s gdp growth unemployment inflation and the federal funds rate from bayesian vector autoregression bvar models with stochastic volatility the results indicate that adding stochastic volatility to bvars materially improves the real time accuracy of density forecasts this article has supplementary material online

academic earmarks and the returns to lobbying abstract in this paper we estimate the returns to lobbying by universities to motivate our empirical work we develop a simple theoretical model of university lobbying for academic earmarks our statistical analysis shows that universities represented by a house appropriations committee hac or senate appropriations committee sac member spend less money on lobbying than those that are not represented in addition using instrumental variables estimations we show that universities without hac or sac representation may receive some benefit to lobbying for earmarks although in many estimations this benefit is not statistically different from zero however for universities with hac or sac representation a 10 percent increase in lobbying yields an additional 2 8 percent or 3 5 percent increase in earmarks respectively this suggests that there are large returns to lobbying for academic earmarks if a university is represented by a member of one the hac or sac but little or no return if not

evaluating interval forecasts a complete theory for evaluating interval forecasts has not been worked out to date most of the literature implicitly assumes homoskedastic errors even when this is clearly violated and proceed by merely testing for correct unconditional coverage consequently i set out to build a consistent framework for conditional interval forecast evaluation which is crucial when higher order moment dynamics are present the new methodology is demonstrated in an application to the exchange rate forecasting procedures advocated in risk management

modelling inflation volatility this paper discusses estimation of us inflation volatility using time varying parameter models in particular whether it should be modelled as a stationary or random walk stochastic process specifying inflation volatility as an unbounded process as implied by the random walk conflicts with priors beliefs yet a stationary process cannot capture the low frequency behaviour commonly observed in estimates of volatility we therefore propose an alternative model with a change point process in the volatility that allows for switches between stationary models to capture changes in the level and dynamics over the past 40 years to accommodate the stationarity restriction we develop a new representation that is equivalent to our model but is computationally more efficient all models produce effectively identical estimates of volatility but the change point model provides more information on the level and persistence of volatility and the probabilities of changes for example we find a few well defined switches in the volatility process and interestingly these switches line up well with economic slowdowns or changes of the federal reserve chair moreover a decomposition of inflation shocks into permanent and transitory components shows that a spike in volatility in the late 2000s was entirely on the transitory side and characterized by a rise above its long run mean level during a period of higher persistence

estimation and forecasting in models with multiple breaks this paper develops a new approach to change point modelling that allows the number of change points in the observed sample to be unknown the model we develop assumes that regime durations have a poisson distribution it approximately nests the two most common approaches the time varying parameter tvp model with a change point every period and the change point model with a small number of regimes we focus considerable attention on the construction of reasonable hierarchical priors both for regime durations and for the parameters that characterize each regime a markov chain monte carlo posterior sampler is constructed to estimate a version of our model which allows for change in conditional means and variances we show how real time forecasting can be done in an efficient manner using sequential importance sampling our techniques are found to work well in an empirical exercise involving u s gdp growth and inflation empirical results suggest that the number of change points is larger than previously estimated in these series and the implied model is similar to a tvp with stochastic volatility model

factor models and time varying parameter framework for forecasting exchange rates and inflation a survey a survey of models used for forecasting exchange rates and inflation reveals that the factor based and time varying parameter or state space models generate superior forecasts relative to all other models this survey also finds that models based on taylor rule and portfolio balance theory have moderate predictive power for forecasting exchange rates the evidence on the use of bayesian model averaging approach in forecasting exchange rates reveals limited predictive power but strong support for forecasting inflation overall the evidence overwhelmingly points to the context of the forecasts relevance of the historical data data transformation choice of the benchmark selected time horizons sample period and forecast evaluation methods as the crucial elements in selecting forecasting models for exchange rate and inflation

tracking real time data revisions in inflation persistence abstractregarding the forecasting of real time data it is assumed that the third quarter release produces the best forecasts since it includes data from new and revised sources which this paper f

the structure of political institutions and effectiveness of corporate political lobbying this paper investigates how the structure of political institutions influences the effectiveness of corporate political lobbying by shaping the veto points and entry points that lobbying firms encounter and require respectively when attempting to influence public policies in so doing this study deepens our understanding of the strategic implications of institutional environments using large sample and cross country firm level data we find that the influence of firms lobbying activities on public policies is weakened when there are tighter constraints generated as a result of greater political partisan competition and more subnational government tiers we find that the negative association between the effectiveness of lobbying and political partisan competition is particularly pronounced in countries with lower electoral accountability and that the negative association between the effectiveness of lobbying and subnational government tiers is particularly pronounced in more centralized politi

does joint modelling of the world economy pay off evaluating global forecasts from a bayesian gvar we analyze how modeling international dependencies improves forecasts for the global economy based on a bayesian gvar with ssvs prior and stochastic volatility to analyze the source of performance gains we decompose the predictive joint density into its marginals and a copula term capturing the dependence structure across countries the gvar outperforms forecasts based on country specific models this performance is solely driven by superior predictions for the dependence structure across countries whereas the gvar does not yield better predictive marginal densities the relative performance gains of the gvar model are particularly pronounced during volatile periods and for emerging economies

macroeconomic forecasting and structural change the aim of this paper is to assess whether explicitly modeling structural change increases the accuracy of macroeconomic forecasts we produce real time out of sample forecasts for inflation the unemployment rate and the interest rate using a time varying coefficients var with stochastic volatility tv var for the us the model generates accurate predictions for the three variables in particular for inflation the tv var outperforms in terms of mean square forecast error all the competing models fixed coefficients vars time varying ars and the na ove random walk model these results are also shown to hold over the period commonly referred to as the great moderation

evaluating the bank of england density forecasts of inflation we consider evaluating the uk monetary policy committee s inflation density forecasts using probability integral transform goodness of fit tests these tests evaluate the whole forecast density we also consider whether the probabilities assigned to inflation being in certain ranges are well calibrated where the ranges are chosen to be those of particular relevance to the mpc given its remit of maintaining inflation rates in a band around per annum finally we discuss the decision based approach to forecast evaluation in relation to the mpc forecasts

the time varying nairu and its implications for economic policy the nairu the unemployment rate consistent with a constant rate of inflation is estimated in this paper as a parameter allowed to vary over time value is determined in an econometric model where the inflation rate depends on its past values demand and supply shocks the nairu estimated for the gdp deflator varies over the past forty years within 5 4 to 6 5 percent its estimated value for the most recent quarter 1996 q2 is 5 6 percent the nairu has declined in recent years in response to global competition immigration other factors weakening labor s bargaining position and the rapidly declining prices of computers and other electronics

interest rate volatility and monetary policy in october 1979 the federal reserve shifted from an interest rate oriented operating procedure to a reserves oriented procedure it is argued in this paper that part of the very large increase in interest rate volatility which resulted from the policy switch may have been due to shifts in the parameters of the money demand equation shifts due to the adoption of a reserve aggregates operating procedure this result is derived by comparing rational expectations equilibria in a simple theoretical model under alternative policy rules this allows the variance of interest rates to be explicitly expressed as a function of the policy rule this abstract was borrowed from another version of this item

real time inflation forecasting in a changing world this article revisits the accuracy of inflation forecasting using activity and expectations variables we apply bayesian model averaging across different regression specifications selected from a set of potential predictors that includes lagged values of inflation a host of real activity data term structure data relative price data and surveys in this model average we can entertain different channels of structural instability by either incorporating stochastic breaks in the regression parameters of each individual specification within this average or allowing for breaks in the error variance of the overall model average or both thus our framework simultaneously addresses structural change and model uncertainty that would unavoidably affect any inflation forecast model the different versions of our framework are used to model u s personal consumption expenditures pce deflator and gross domestic product gdp deflator inflation rates for the 1960 2011 period a real time inflation forecast

uk phillips curves and monetary policy abstract this paper documents some stylized facts on evolving uk phillips curves and shows how these differ from their us versions we interpret uk phillips curve dynamics in a positive theory of monetary policy how policymaker attitudes on the phillips curve have evolved since the 1950s rather than more traditionally as interaction between exogenous demand and supply disturbances combining this framework with reasoned conjectures on how policymakers beliefs have changed helps explain some features of the evolving uk phillips curve we suggest that correlations suggesting an extreme favorable unemployment inflation tradeoff might indicate not something to be exploited but instead only policymakers correctly acknowledging that no tradeoff exists

macroeconomic factors strike back a bayesian change point model of time varying risk exposures and premia in the u s cross section this article proposes a bayesian estimation framework for a typical multi factor model with time varying risk exposures to macroeconomic risk factors and corresponding premia to price u s publicly traded assets the model assumes that risk exposures and idiosyncratic volatility follow a break point latent process allowing for changes at any point on time but not restricting them to change at all points the empirical application to 40 years of u s data and 23 portfolios shows that the approach yields sensible results compared to previous two step methods based on naive recursive estimation schemes as well as a set of alternative model restrictions a variance decomposition test shows that although most of the predictable variation comes from the market risk premium a number of additional macroeconomic risks including real output and inflation shocks are significantly priced in the cross section a bayes factor analysis massively favors the proposed change point model supplementary materials for th

sustainable competitive advantage combining institutional and resource based views this article suggests that the context and process of resource selection have an important influence on firm heterogeneity and sustainable competitive advantage it is argued that a firm s sustainable advantage depends on its ability to manage the institutional context of its resource decisions a firm s institutional context includes its internal culture as well as broader influences from the state society and interfirm relations that define socially acceptable economic behavior a process model of firm heterogeneity is proposed that combines the insights of a resource based view with the institutional perspective from organization theory normative rationality institutional isolating mechanisms and institutional sources of firm homogeneity are proposed as determinants of rent potential that complement and extend resource based explanations of firm variation and sustainable competitive advantage the article suggests that both resource capital and institutional capital are indispensable to sustainable competitive advantage 1997 john wiley sons ltd

what enables rapid economic progress what are the needed institutions abstract in recent years institutions have again become a central focus of economists and other scholars studying the processes of economic growth and the reasons why nations have differed so greatly in their achievements on this front however with few exceptions the exploration of the role of institutions has not been connected with a coherent analysis of the relationships between institutions and institutional change and technological advance this paper proposes a way of analyzing these relationships the concept of social technologies which support physical technologies plays a key role in the analysis

does transaction misalignment matter for firm survival at all stages of the industry life cycle research on industry life cycles suggests that competitive pressures are more severe during the shakeout stage which could be associated with the emergence of a dominant design than at other stages transaction cost theory on the other hand assumes generally competitive markets and does not address the industry life cycle it therefore implies that transaction cost economizing is a superior firm strategy regardless of the stage of the life cycle this paper seeks to reconcile these two streams of research by investigating whether aligning transactions with governance modes in accordance with transaction cost prescriptions has a differential effect on firm survival in preshakeout versus shakeout stages of the industry life cycle analyzing data from the early u s auto industry 1917 1933 we find that while transaction misalignment did not have a significant impact on firm survival during the preshakeout stage or during the period as a whole it did have a significantly larger negative impact on survival during the shakeout stage than during the preshakeout stage we also find that the negative effects of misalignment on survival were significantly weaker for larger firms during the shakeout stage this suggests that applications of transaction cost theory which assume uniformly severe selection pressures across the industry life cycle and uniform effects of misalignment across firms of different sizes could be misleading it also suggests that theories of the industry life cycle could usefully take transaction costs into account along with production costs in their analyses of competition over the life cycle

the signaling effect of corporate social responsibility in emerging economies what signals do firms in emerging economies send to stakeholders when they adopt corporate social responsibility csr practices we argue that in emerging economies firms that adopt csr practices positively signal investors that their firms have superior capabilities for filling institutional voids from an institution based view we hypothesize that the institutional environment moderates the signaling effect of csr on a firm s financial performance based on a sample of firms from ten asian emerging economies we find a positive relationship between csr practices and financial performance this positive relationship is stronger in the less developed capital market than in the more developed one the financial benefits of csr practices are also more salient in the low information diffusion market than in the high one we emphasize that signaling theory and the institution based view can jointly contribute to the csr literature

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

behavioral heterogeneity in u s inflation dynamics in this article we develop and estimate a behavioral model of inflation dynamics with heterogeneous firms in our stylized framework there are two groups of price setters fundamentalists and rando

super partes assessing the effect of judicial independence on entry incumbents can enjoy a cost advantage vis a vis new entrants and so deter new firm entry by establishing and leveraging connections with the judicial system connected firms may in fact avoid fully complying with the costly norms implied by a law a regulation or a contract at the same time they can also credibly threaten to sue new entrants therefore a change in the institutional environment that diminishes the ability of incumbent firms to establish judicial connections i e an increase in judicial independence can promote entrepreneurship exploiting reforms that change the way in which u s state judges are selected we confirm that this is the case and we show that this effect is more salient in states and industries where the likelihood of entering into a business dispute is higher the paper also sheds some light on the mechanisms behind this effect data and the online appendix are available at https doi org 10 1287 mnsc 2017 2794 this paper was accepted by toby stuart entrepreneurship

evolving post world war ii u k economic performance in this paper we use tests for multiple structural breaks at unknown points in the sample and band pass filtering techniques to investigate changes in u k economic performance since the end of world war ii empirical evidence suggests that the most recent decade associated with the introduction of an inflation targeting regime has been significantly more stable than the previous post wwii era both for real gdp growth and for three measures of inflation we identify break dates around the time of the introduction of inflation targeting in october 1992 for all four series the estimated innovation variance over the most recent sub period is the lowest of the post wwii era the volatility of the band pass filtered macroeconomic indicators we consider is after 1992 almost always lower than either during the bretton woods regime or over the 1971 92 period often like in the case of inflation and real gdp markedly so the phillips correlation appears to have undergone significant changes over the last 50 years from being unstable in the 1970s to slowly stabilising from the beginning of the 1980s onwards after 1992 the correlation exhibits by far the greatest extent of stability of the post wwii era

testing for volatility changes in u s macroeconomic time series we test for a change in the volatility of 214 u s macroeconomic time series over the period 1959 1999 we find that approximately 80 of these series have experienced a break in unconditional volatility during this period even though more than half of the series experienced a break in conditional mean most of the reduction in volatility appears to be due to changes in conditional volatility our results are robust to controlling for business cycle nonlinearity in both mean and variance volatility changes are more appropriately characterized as instantaneous breaks than as gradual changes nominal variables such as inflation and interest rates experienced multiple volatility breaks and witnessed temporary increases in volatility during the 1970s on this evidence we conclude that the increased stability of economic fluctuations is widespread

a simple adaptive measure of core inflation this paper proposes a new measure of core inflation and compares it with several existing measures the new measure is adaptive and is designed to track sudden and persistent movements in inflation such as those arising from changes in monetary policy regimes the adaptive measure filters out transients more effectively than existing measures and it is a superior predictor of locally mean reverting components of inflation

macroeconomic forecasting performance under alternative specifications of time varying volatility summary this paper compares alternative models of time varying volatility on the basis of the accuracy of real time point and density forecasts of key macroeconomic time series for the usa we consider bayesian autoregressive and vector autoregressive models that incorporate some form of time varying volatility precisely random walk stochastic volatility stochastic volatility following a stationary ar process stochastic volatility coupled with fat tails garch and mixture of innovation models the results show that the ar and var specifications with conventional stochastic volatility dominate other volatility specifications in terms of point forecasting to some degree and density forecasting to a greater degree copyright 2014 john wiley sons ltd

combining forecast densities from vars with uncertain instabilities recursive weight forecast combination is often found to an ineffective method of improving point forecast accuracy in the presence of uncertain instabilities we examine the effectiveness of this strategy for forecast densities using many vector autoregressive var and autoregressive ar models of output growth inflation and interest rates our proposed recursive weight density combination strategy based on the recursive logarithmic score of the forecast densities produces well calibrated predictive densities for us real time data by giving substantial weight to models that allow for structural breaks in contrast equal weight combinations produce poorly calibrated forecast densities for great moderation data copyright 2010 john wiley sons ltd

nonmarket strategy performance evidence from u s electric utilities this paper develops and tests a theory of the performance determinants of a firm s nonmarket strategy in shaping public policy outcomes building on the concept of political market attractiveness we argue that nonmarket performance is influenced by both the characteristics of a firm s regulatory and political environment especially rivalry among interest groups or politicians and by internal capabilities that enable a firm to mitigate political transaction costs using data on regulatory filings for rate increases made by u s electric utilities over a 13 year period we find empirical support for our approach

developing difference social organization and the rise of the auto industries of south korea taiwan spain and argentina theories of economic development as diverse as modernization dependency world system and market reform take a critical factor view proponents of each theory argue that countries fail to develop because of an obstacle to economic growth we argue instead that neither a critical factor nor a single path leads to economic development viable paths vary economic growth depends on linking a country s historically developed patterns of social organization to the opportunities of global markets we formulate a sociological theory of cross national comparative advantage including not only economic factor endowments but also institutionalized patterns of authority and organization such patterns legitimize certain actors and certain relationships among those actors which facilitate development success in some activities but not in others we illustrate this approach to understanding development outcomes with a comparative analysis of the difficult rise of the automobile assembly and components industries in south korea taiwan spain and argentina

estimating and forecasting the real prices of crude oil a data rich model using a dynamic model averaging dma approach given that oil price fluctuations have been of great interest for macroeconomics in the recent years due to its important implications for future inflation economic growth and policy making the aim of this paper is to estimate and forecast west texas intermediate wti crude oil prices using a large monthly dataset that covers the period from march 1983 to december 2011 to achieve this aim forecasting with factor models offers a usual approach that utilizes large datasets however a forecasting model which simply includes all factors in state space equation and does not allow for time varying may be not suitable with a highly volatile market such as oil market to overcome these limitations an approach that accounts both for parameter and model uncertainty is employed in particular this study uses the dynamic model averaging dma approach suggested by koop and korobilis 2012 the key element of the dma approach is that it allows both for model and parameter to vary at each point of time by doing so the dma is robust to structural breaks empirical findings show that dma approach outperforms any other alternative model used in the forecasting exercise results also show that there is model but not parameter variation in this oil price forecasting exercise finally the findings suggest that the dma approach provides a better proxy of expected spot prices than future prices

capital market development and firm restructuring during an economic shock we conceptualize capital markets in terms of resource access and governance and argue that more developed capital markets facilitate firm restructuring through more effective provision of capital and governance of transactions we then develop a contingency model that specifies that the effects of capital market development on restructuring vary by 1 types of restructuring 2 the nature of the economic environments and 3 firms access to resources we evaluate a broad range of restructuring actions among independent firms and business group affiliates in singapore and south korea before and during the economic shock of 1998 1999 results support our predictions of the impact of capital market development and of contingencies and highlight the value of incorporating an external capital markets perspective to complement internally focused theoretical explanations for firm restructuring

federal reserve information and the behavior of interest rates this paper tests for the existence of asymmetric information between the federal reserve and the public by examining federal reserve and commercial inflation forecasts it demonstrates that the federal reserve has considerable information about inflation beyond what is known to commercial forecasters it also shows that monetary policy actions provide signals of the federal reserve s information and that commercial forecasters modify their forecasts in response to those signals these findings may explain why long term interest rates typically rise in response to shifts to tighter monetary policy jel e52 e43 d82 asymmetric information between the federal reserve and the public is a phenomenon that is often posited but rarely tested numerous models of central bank behavior for example show that the existence of asymmetric information has important implications for the effectiveness of policy and the consequences of dynamic inconsistency yet there

effective interim collaboration how firms minimize transaction costs and maximise transaction value this study of automotive transaction relationships in the u s a and japan offers abta which indicate that transaction costs do not necessarily increase with an increase in reiation specijk investments we empirically examine the conditions under which transactors can simultaneously achieve the twin benejits of high asset specificity and low transaction costs this is possible because the dtfferent safeguards which can be employed to control opportunism have different set up costs and result in different transaction costs over dl erent time horizons we examine in detail the ractices of javanese firms which result in effective inteq n collaboration 1997 by john wiley sons ltd

estimating the performance effects of business groups in emerging markets business groups confederations of legally independent firms are ubiquitous in emerging economies yet very little is known about their effects on the performance of affiliated firms we conceive of business groups as responses to market failures and high transaction costs in doing so we develop hypotheses about the effects of group affiliation on firm profitability affiliation could either boost or depress firm profitability and members of a group are likely to earn rates of return similar to other members of the same group using a unique data set compiled largely from local sources we test for these effects in 14 emerging markets argentina brazil chile india indonesia israel mexico peru the philippines south africa south korea taiwan thailand and turkey we find evidence that business groups indeed affect the broad patterns of economic performance in 12 of the markets we examine group affiliation appears to have as profound an effect on profitability as does industry membership yet strategy scholars have a much clearer grasp of industries than of groups moreover membership in a group raises the profitability of the average group member in several of the markets we examine this runs contrary to the wisdom conventional in advanced economies that unrelated diversification depresses profitability overall our findings suggest that the roots of sustained differences in profitability may vary across institutional contexts conclusions drawn in one context may well not apply to another copyright 2001 john wiley sons ltd

regulatory capture a review this article reviews both the theoretical and empirical literatures on regulatory capture the scope is broad but utility regulation is emphasized i begin by describing the stigler peltzman approach to the economics of regulation i then open the black box of influence and regulatory discretion using a three tier hierarchical agency model under asymmetric information in the spirit of laffont and tirole 1993 i discuss alternative modelling approaches with a view to a richer set of positive predictions including models of common agency revolving doors informational lobbying coercive pressure and influence over committees i discuss empirical work involving capture and regulatory outcomes i also review evidence on the revolving door phenomenon and on the impact that different methods for selecting regulators appear to have on regulatory outcomes the last section contains open questions for future research copyright 2006 oxford university press

shifting endpoints in the term structure of interest rates abstract this paper links the term structure to perceptions of monetary policy long horizon forecasts of short rates required by no arbitrage term structure models are heavily influenced by the endpoints or limiting conditional forecasts of the short rate process common assumptions that the short rate is mean reverting or contains a unit root are shown to generate unrealistic yield predictions failures occur because these assumptions inadequately account for historical shifts in market perceptions of the policy target for inflation this paper links endpoint shifts to agent learning about shifts in long term policy goals shifting endpoints in short rate processes significantly improve yield predictions

perspective explaining influence rents the case for an institutions based view of strategy research in strategy has identified and tried to explain four types of rents monopolistic rents efficiency rents quasi rents and schumpeterian rents building on previous work on political and institutional strategies we add a fifth type of rent influence rents influence rents are the extra profits earned by a firm because the rules of the game laws regulations and informal rules are designed or changed to suit it to aid the analysis of the relationship between institutional context and firm performance and to provide a structure to guide research we develop a framework with five key components a an identification of the five fundamental problems of a market economy b a typology that describes the five different types of institutions that emerge to solve these problems c the market ordering mechanisms used by institutions to solve these problems d the common causes of weak institutional performance and e generic strategies used by firms to exploit these weaknesses of an institutional context to enhance firm performance we highlight potential applications of the framework as well as an illustrative research agenda that can advance the development of theory to explain the emergence and persistence of influence rents

rational expectations in second moments the j curve and the harrod effect the plausibility of the harrod effect under a flexible exchange rate regime is examined using the model in black 1985 opportunely modified to include j curve effects it is shown that at least in one of the two polar cases considered the existence of the harrod effect is confirmed

rent seeking protectionism and innovation in the american steel industry trade protection in a declining industry can cause damages beyond those revealed in the usual trade diagram analysis using data on the us steel firms we show that trade protection in that industry rewards poor performance reduces incentives to innovate and frustrates the normal schumpeterian process of creative destruction free trade gives consumers the lowest prices nonetheless protectionism in various guises is pervasive this we show is probably due to political rentseeking by groups that expect to lose as trade patterns adjust to innovation and altered economic conditions these groups invest in political lobbying to secure future returns in trade protection we find empirical evidence that trade protection returns private benefits to the shareholders senior workers and ceo s of lobbying firms perhaps more disturbingly trade protection also appears to reward less innovative firms and may thus frustrate the schumpeterian development of an industry we examine us steelmakers among the most active lobbyers in recent decades steel firms that lobby congress for protection tend to be larger older less diversified and less profitable than non lobbyers they pay their workers and ceos more and their ceos have longer tenure and are more likely to have risen through the ranks of their companies this suggests the owners managers and workers of less dynamic steel firms stand to lose from free trade the announcement of protection raises the stock prices of us steelmakers but by much more for lobbyers than non lobbyers when comprehensive and enduring protection was finally announced lobbyers more than non lobbyers cut jobs while maintaining or possibly increasing wages once comprehensive protection is in place protection also leads to large pay increases for lobbyers ceos this seems consistent with rent seeking and inconsistent with protection helping lobbyers mitigate social consequences of downsizing like unemployment our most striking finding is that high past r d spending is negatively correlated with stock price changes when proteption is announced and positively correlated with subsequent exit from the industry this seems inconsistent with protection providing a hiatus for retooling rather it suggests

the heterogeneous impact of monetary policy on the us labor market abstract we empirically investigate the role of central banks in the context of heterogeneous labor markets jobless recoveries and job polarization specifically we estimate the effect of monetary policy on the us labor market using disaggregated time series based on large scale survey data the impact of interest rate changes on unemployment in 32 occupation groups is explored in a bayesian factor augmented vector autoregression framework the results suggest largely heterogeneous impacts across various occupation groups this heterogeneity can be explained by differential task profiles of the workers in their respective occupations workers with tasks that are easily automated or offshored as well as workers at the bottom of the skill distribution are disproportionately affected following a monetary policy shock this implies that labor market participants that are highly vulnerable to structural developments such as skill biased technological change and the globalization of labor markets are also most sensitive to conventional monetary policy measures from a policy perspective we conclude that central banks are unlikely to be able to take on a stabilizing role in the context of labor market polarization

a bayesian markov switching correlation model for contagion analysis on exchange rate markets this article develops a new markov switching vector autoregressive var model with stochastic correlation for contagion analysis on financial markets the correlation and the log volatility dynamics are driven by two independent markov chains thus allowing for different effects such as volatility spill overs and correlation shifts with various degrees of intensity we outline a suitable bayesian inference procedure based on markov chain monte carlo algorithms we then apply the model to some major and asian pacific cross rates against the u s dollar and find strong evidence supporting the existence of contagion effects and correlation drops during crises closely in line with the stylized facts outlined in the contagion literature a comparison of this model with its closest competitors such as a time varying parameter var reveals that our model has a better predictive ability supplementary materials for this article are available online

trend inflation indexation and inflation persistence in the new keynesian phillips curve purely forward looking versions of the new keynesian phillips curve nkpc generate too little inflation persistence some authors add ad hoc backward looking terms to address this shortcoming we hypothesize that inflation per sistence results mainly from variation in the long run trend component of inflation which we attribute to shifts in monetary policy we derive a version of the nkpc that incorporates a time varying inflation trend and examine whether it explains the dynamics of inflation when drift in trend inflation is taken into account a purely forward looking version of the model fits the data well and there is no need for backward looking components jel e12 e31 e52 in this paper we consider the extent to which guillermo calvo s 1983 model of nominal price rigidities can explain inflation dynamics without relying on arbitrary backward looking terms in its baseline formulation the calvo model leads to a purely forward looking new keynesian

were there regime switches in u s monetary policy working paper 2004 14 june 2004 abstract a multivariate model identifying monetary policy and allowing for simultaneity and regime switching in coefficients and variances is confronted with u s data since 1959 the best fit is with a model that allows time variation in structural disturbance variances only among models that also allow for changes in equation coefficients the best fit is for a model that allows coefficients to change only in the monetary policy rule that model allows switching among three main regimes and one rarely and briefly occurring regime the three main regimes correspond roughly to periods when most observers believe that monetary policy actually differed and the differences in policy behavior are substantively interesting though statistically ill determined the estimates imply monetary targeting was central in the early 80s but was also important sporadically in the 70s the changes in regime were essential neither to the rise in inflation in the 70s nor to its decline in the 80s jel classification e52 e47 c53 key words counterfactuals lucas critique policy rule monetary targeting simultaneity volatility model comparison i the debate over monetary policy change in an influential paper clarida gali and gertler 2000 cgg presented evidence that us monetary policy changed between the 1970 s and the 1980 s indeed that in the 70 s it was drastically worse they found that the policy rule apparently followed in the 70 s was one that when embedded in most stochastic general equilibrium models would imply non uniqueness of the equilibrium and hence vulnerability of the economy to sunspot fluctuations of arbitrarily large size their estimated policy rule for the later period on the other hand eliminated this indeterminacy these results are a possible explanation of the volatile and rising inflation of the 70 s and of its subsequent decline the cgg analysis has two important weaknesses one is that it fails to account for stochastic volatility us macroeconomic variables and particularly the federal funds rate have gone through periods of tranquility and of agitation with forecast error variances varying greatly from period to period ignoring such variation does not lead to inconsistent estimates of model parameters when the forecasting equations themselves are constant but it strongly biases toward a finding of changed parameters tests of the stability of the forecasting equations the other weakness is that the cgg analysis rests on powerful and implausible identifying assumptions they require that we accept that the response of the monetary authority to expected future inflation and output does not depend on the recent history of inflation money growth or output it is hard to understand why this should be so especially in the 70 s when monetarism was a prominent theme in policy debates congress was requiring reports from the fed of projected time paths of monetary aggregates and financial markets were reacting sensitively to weekly money supply numbers the requirement for existence and uniqueness of equilibrium in dynamic models is that the monetary policy rule show a more than unit response of interest rates to the sum of the logs of all nominal variables that appear on the right hand side of the reaction function if we force a particular measure of expected future inflation to proxy for all the nominal variables that actually appear independently in the reaction function we are bound to get distorted conclusions on the one hand because expected future inflation will be a noisy measure of the full set of nominal influences on policy we might get downward bias in our estimates from the usual errorsin variables effect on the other hand to the extent that expected future inflation like most expected future values shows less variation than current nominal variables we could find a mistaken scaling up of coefficients

slack and cyclically sensitive inflation we investigate the flattening phillips relation by making two departures from standard specifications first we measure slack using real activity variables that are bandpass filtered or year over year changes in activity these are similar instead of gaps second we study the components of inflation instead of the standard aggregates we find that some inflation components have strong and stable correlations with the cyclical component of real activity these components tend to be relatively well measured and domestically determined other components typically prices that are poorly measured or internationally determined have weak and or unstable correlations with cyclical activity we construct a new inflation index cyclically sensitive inflation that weights the components by their joint cyclical covariation with real activity the index has strong and stable correlations with cyclical activity and provides a real time measure of cyclical movements in inflation

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

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

jurisdiction shopping and foreign location choice the role of market and nonmarket experience in the european solar energy industry several countries provide policy support to specific sectors in order to facilitate industry transitions while industry support policies stimulate the growth of their target sectors little is known about how such policies engender heterogeneous international strategies in this article we investigate how industry support policies influence foreign location choices we argue that firms engage in jurisdiction shopping choosing to invest in countries with more generous policy support but that this tendency varies markedly across firms specifically we suggest that firms nonmarket experience exacerbates the effect of policy support on location choice whereas market experience has less of an impact further we propose that some firms view generous policies more skeptically than others depending on the nature of their nonmarket experience we test and find support for our predictions using a longitudinal dataset of foreign investments of firms entering the solar energy industry in the european union our findings indicate that supportive policies stimulate the energy transition attracting in particular foreign entrants diversifying into renewables or having more policy experience at the same time they suggest that adverse policy changes in one country affect how firms assess policies in other countries highlighting the need for policy coordination at a supranational level

an institution based view of global ipr history leveraging the use of history to advance international business research this article focuses on the crucial debate over intellectual property rights ipr between the united states and china ironically during the 19th century the united states was not a leading ipr advocate as it is today but was a leading ipr violator developing an institution based view of ipr history we identify three underlying theoretical mechanisms that help to explain ipr in the two countries path dependence long term processes and institutional transitions we argue that both the us refusal to protect foreign ipr in the 19th century and the current chinese lack of enthusiasm to meet us ipr demands embody rational responses to their respective situations however given long term processes with intensifying isomorphic pressures institutional transitions in favor of better ipr protection are quite possible finally going above and beyond these two countries we draw on the ipr history in over ten other countries to develop a more globally generalizable framework which in turn contributes to the key question of how history matters

combining var and dsge forecast densities a popular macroeconomic forecasting strategy utilizes many models to hedge against instabilities of unknown timing see among others stock and watson 2004 clark and mccracken 2010 and jore et al 2010 existing studies of this forecasting strategy exclude dynamic stochastic general equilibrium dsge models despite the widespread use of these models by monetary policymakers in this paper we use the linear opinion pool to combine inflation forecast densities from many vector autoregressions vars and a policymaking dsge model the dsge receives a substantial weight in the pool at short horizons provided the var components exclude structural breaks in this case the inflation forecast densities exhibit calibration failure allowing for structural breaks in the vars reduces the weight on the dsge considerably but produces well calibrated forecast densities for inflation

the j curve rational expectations and the stability of the flexible exchange rate system this paper investigates the behavior of exchange rates under the floating rate system when the trade balance responds to the exchange rate in a j curve fashion and when exchange rate expectations are rational but speculators are risk averse the major findings are i that speculators will stabilize the floating exchange rate system provided capital mobility is sufficiently high 2 unless the degree of capital mobility exceeds an even higher critical level exchange rates will oscillate around their long run equilibrium values and 3 a real unanticipated disturbance will cause the exchange rate to overshoot its long run equilibrium level

term structure views of monetary policy under alternative models of agent expectations abstract term structure models and many descriptions of the transmission of monetary policy rest on the empirical relevance of the expectations hypothesis small differences in the perceived policy reaction function in var models of agent expectations strongly influence the relevance in the transmission mechanism of the expected short rate component of bond yields mean reverting or difference stationary characterizations of interest rates require large and volatile term premiums to match the observable term structure however short rate descriptions that capture shifting perceptions of long horizon inflation evident in survey data support a more substantial term structure role for short rate expectations