risk and return in an equilibrium apt application of a new test methodology abstract we use an asymptotic principal components technique to estimate the pervasive factors influencing asset returns and to test the restrictions imposed by static and intertemporal equilibrium versions of the arbitrage pricing theory apt on a multivariate regression model the empirical techniques allow for fairly arbitrary time variation in risk premiums we find that the apt provides a better description of the expected returns on assets than the capital asset pricing model capm however some statistically reliable mispricing of assets by the apt remains

renewable energy consumption urbanization financial development income and co2 emissions in turkey testing ekc hypothesis with structural breaks abstract in this study the short and long run dynamic relationship between per capita gdp per capita carbon dioxide co2 emissions financial development per capita total renewable energy consumption hydropower consumption alternative energy consumption and urbanization was investigated by using ardl bounds testing approach gregory hansen and hatemi j cointegration tests for turkey during 1974 2014 the results of three cointegration test indicated that there was a long run relationship between these variables the coefficients obtained from the ardl fully modified least squares fmols and canonical cointegrating regression ccr estimators showed that economic growth financial development and urbanization increase environmental degradation while total renewable energy consumption hydropower consumption and alternative energy consumption had no effect on co2 emissions the findings showed that economic growth caused the greatest increases in co2 emissions followed by urbanization and financial development however renewable energy consumption was not at a desirable level to reduce co2 emissions the study also support environmental kuznets curve ekc hypothesis which establishes an inverted u shaped relationship between economic growth and co2 emissions the turning points of per capita gdp obtained from long run regressions were found to be around 13523 14077 us dollars outside the sample period the overall results indicated that turkey has not reached the level of per capita gdp that can reduce environmental pollution and renewable energy consumption is not a solution to reduce co2 emissions

scheduling the production of several items with random demands in a single facility consider the problem of scheduling the production of several items in a single facility that can produce only one item at a time this problem occurs since it is often economic to produce several items in a single facility the objective is to reduce the long run average holding backorder and setup costs we assume that demands are random with constant expected rates we allow backorders and charge holding and backlogging costs at linear time weighted rates items are produced at continuous constant rates setup times and setup costs are item dependent constants these parameters however are independent of the order of setups a real time scheduling tool is developed in three steps first with demands replaced by their expectations we compute an optimal or near optimal target cyclic schedule next we study the problem of scheduling the facility after a single disruption perturbs the inventories the goal is to recover the target cyclic schedule at minimal excess over the average cost of the cyclic schedule we formulate this as a control problem and obtain a linear recovery policy that is optimal for a large configuration of disruptions finally we select safety stocks to minimize the long run average cost of following the target schedule with the recovery policy we show that optimal safety stocks are unique and have the property that in the long run the proportion of time that an item is in stock is the ratio of backorder to holding plus backorder cost we present an example that integrates the cyclic schedule the control policy and the safety stocks

determination of safety stocks for cyclic schedules with stochastic demands abstract this paper considers the problem of scheduling the production of multiple items each with random demand on a single facility we show how the variance in demand during lead time can be estimated and present a model for determination of safety stocks and order up to levels for a fixed cyclic sequence both with and without idle time for systems with idle time we present a control model to make the decision to produce next item in sequence or idle the facility the performance of the model is tested in a simulation study

detecting multiple factors in panel data an application on the growth of local regions in china abstractdue to unbalanced growth in china s local regions we construct a panel data model with multiple common factors to examine the differences among the growth factors in these areas this article shows the various impacts from the supply and demand sides on economic growth different from the demand side the supply side impacts have permanent influences this article focuses on these deep and profound impacts to explain the reasons behind china s fast economic growing by using data on 27 regions from 1958 to 2013 we summarize the main permanent influences along three lines the first comes from the coastal regions which have learned modern technology and systems from foreign companies such as in guangdong zhejiang fujian and liaoning the second comes from big cities such as beijing and shanghai in which a huge migration has given the companies opportunities to recruit excellent workers making the resource allocation specialized and more efficient the third is from the government s major p

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

gender diversity and firm performance evidence from india and singapore this study investigates if gender diversity on boards is an effective driver of financial performance for this purpose this study choses two countries one of which has the soft law approach sin

forecast content and content horizons for some important macroeconomic time series the information content of statistical forecasts of approximately stationary quantities tends to decline as the forecast horizon increases and there exists a maximum horizon beyond which forecasts cannot provide discernibly more information about the variable than is present in the unconditional mean the content horizon the pattern of decay of forecast content or skill with increasing horizon is well known for many types of meteorological forecasts by contrast little generally accepted information about these patterns or content horizons is available for economic variables in this paper we estimate content horizons for a variety of macroeconomic quantities more generally we characterize the pattern of decay of forecast content as we project farther into the future we find a wide variety of results for the different macroeconomic quantities with models for some quantities providing useful content several years into the future for other quantities providing negligible content beyond one or two months or quarters jel

an eoq model for perishable products with fixed shelf life under stochastic demand conditions abstract the paper presents a mathematical stochastic model for perishable open dating foods including shortage and outdating costs the demand fluctuations have been taken into account modeling them through a normal distribution and their impact on the storage time has been studied considering the stochastic nature of such a parameter in turn the quantification of perished products has been also addressed determining the probability for a product of remaining in stock beyond the end of its shelf life on the basis of such premises the optimal set of parameters that minimize the total unit cost has been determined a numerical application and a sensitivity analysis show the practical applicability of the proposed model in the context of warehouse management underlining managerial insights

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

co2 emissions and economic activity a short to medium run perspective abstract this paper looks at the short to medium run impact of economic activity on co2 emissions in the united states shifting the existing focus away from the long run environmental kuznets curve ekc our novel methodological approach combines discrete wavelet transforms with dynamic factor models this allows us to i estimate economic and emissions cycles at different frequencies and ii let economic activity be estimated from many different economic variables rather than focussing on a small number as in existing studies from our results one might at first conclude that emissions are not linked to economic activity in the short run however when looking at the cycles uncovered at timescales of length one to three years we see that there are indeed strong linkages policymakers therefore cannot be exclusively long termist when evaluating the impact of economic policy on the environment

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

transferable lessons re examining the institutional prerequisites of east asian economic policies competing theories of east asian economic policy share the assumption that a highly capable coherent economic bureaucracy closely connected to but still independent of the business community has been an essential institutional prerequisite for successful policy formation and implementation in east asia these institutional prerequisites were constructed in a variety of concrete forms with great difficulty and imperfect results as long as the idea of transferable lessons is understood as an invitation to indigenous innovation that takes advantage of the underlying analytical logic of east asian institutions other countries can reap important benefits from east asia s experience

can we improve the perceived quality of economic forecasts a number of topics are discussed concerning how economic forecasts can be improved in quality or at least in presentation these include the following using 50 uncertainty intervals rather than 95 noting that even though forecasters use many different techniques they are all occasionally incorrect in the same direction that there is a tendency to underestimate changes that some expectations and recently available data are used insufficiently lagged forecasts errors can help compensate for structural breaks series that are more forecastable could be emphasized and that present methods of evaluating forecasts do not capture the useful properties of some methods compared to alternatives

do european business cycles look like one abstract this paper provides a comprehensive framework to analyze business cycle features other than synchronization we use stationary bootstrap and model based clustering methods to analyze similarities and differences among the european cycles we find evidence that the length deep and shape of cycles differ across european countries and that these differences are not decreasing over time finally even though we find some correlation between business cycle synchronization and characteristics there is important information in the characteristics that is not captured by the synchronization measures

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

institutions and financial dollarization indirect effects based on a policy experiment we provide evidence that institutional improvements lead to lower levels of financial dollarization through previously unidentified channels these indirect channels operate in addition to the direct impact identified in the literature and further illustrate the importance of institutions for the extent of banking dollarization

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

understanding the deviation of australian policy rate from the taylor rule this investigation aims to explain and quantify the deviations of the australian policy rate set by reserve bank of australia from the taylor rule a three step econometric procedure designed to reflect the data rich environment in which central banks operate is proposed using information for 229 macroeconomic series this procedure can be applied to data for any economy with inflation targeting monetary rule our application with australian data shows that approximately 65 of australia s policy rate deviation from the taylor rule can be explained systematically with international factors and a domestic factor accounting for 41 9 and 22 5 respectively of the total variation in deviation from the rule

horizons of understanding a review of ray fair s estimating how the macroeconomy works ray fair s estimating how the macroeconomy works is the latest in a series of books by fair that build estimate and apply his macroeconometric model to study the u s economy in this book fair updates the model to incorporate the most recent data and uses it to analyze several important empirical questions such as whether the u s economy moved into a new age of high productivity in the last half of the 1990s and the dynamics of prices output and unemployment this review places his work in the context of the historical evolution of aggregate econometric models compares it with the current developments in the estimation of dynamic stochastic general equilibrium models and discusses some salient aspects of fair s contributions

cyclical schedules vs dynamic sequencing replenishment dynamics and inventory efficiency abstract this paper addresses the efficiency of fixed sequence cyclical scheduling systems relative to that of dynamically sequenced order point methods of production control the criterion for comparison is the aggregate inventory required to achieve a target fill rate taking into account the alternative replenishment dynamics arising under the respective systems a simulation analysis demonstrates that cyclical scheduling may have smaller aggregate inventory requirement when the production process is highly utilized and when this utilization is due to demand for a small number of items having large setup times

economic lot scheduling heuristic for random demands abstract an extension to the economic lot scheduling problem is given for a single machine multi product line under random demands the goal is to find the length of production cycles that minimizes the sum of setup and inventory holding costs per unit of time and satisfies the demand for each product at the required service level first the single product finite replenishment inventory model is extended to the case of random demand then a heuristic procedure uses this extension to determine the production cycles for the multi product case computational results and comparisons with other models are reviewed

lumpy price adjustments a microeconometric analysis based on a reduced form state dependent pricing model with random thresholds we specify and estimate a nonlinear panel data model with an unobserved factor representing the common cost or demand components of the unobserved optimal price using this model we are able to assess the relative importance of common and idiosyncratic shocks in explaining the frequency and magnitude of price changes in the case of a wide variety of consumer products in belgium and france we find that the mean level and variability of the random thresholds are key for explaining differences across products in the frequency of price changes we also find that the idiosyncratic shocks represent the most important driver of the magnitude of price changes supplementary materials for this article are available online

structural dynamic factor analysis using prior information from macroeconomic theory dynamic factor models are becoming increasingly popular in empirical macroeconomics due to their ability to cope with large datasets dynamic stochastic general equilibrium dsge models on the other hand are suitable for the analysis of policy interventions from a methodical point of view in this article we provide a bayesian method to combine the statistically rich specification of the former with the conceptual advantages of the latter by using information from a dsge model to form a prior belief about parameters in the dynamic factor model because the method establishes a connection between observed data and economic theory and at the same time incorporates information from a large dataset our setting is useful to study the effects of policy interventions on a large number of observed variables an application of the method to u s data shows that a moderate weight of the dsge prior is optimal and that the model performs well in terms of forecasting we then analyze the impact of monetary shocks

quasi fixed cyclic production schemes for multiple products with stochastic demand abstract in this paper we present an approach to generate cyclic production schemes for multiple products with stochastic demand to be produced on a single production unit this scheme specifies a fixed and periodic production sequence called a cycle where each product may occur more than once in the sequence in order to stabilize the cycle length alternative control strategies are introduced these strategies keep the cycle length close to a target length by means of adding idle time to the cycle cutting production short or overproduction on basis of the selected control strategy as well as a base stock policy target inventory levels are determined for each production run in the cycle demand can be backlogged but a certain service level is required setup times are sequence dependent and the storage is capacitated employing the developed strategies we investigate the tradeoff between stability of cycle length and total cost induced by the production schedule in a computational study based on both real world data and random test instances

the effects of monetary policy using structural factor analysis the traditional vector autoregression var method is widely used to trace out the effects of monetary policy innovations on the economy however this method suffers from the curse of dimensionality so that in practice vars are estimated on a limited number of variables leading to a potential missing information problem in this article we use the method of structural factor analysis to evaluate the effects of monetary policy on key macroeconomic variables in a data rich environment this methodology allows us to extract information on monetary policy and its impact on the economy from a much larger data set than is possible with the traditional var method we propose two structural factor models one is the structural factor augmented vector autoregressive sfavar model and the other is the structural factor vector autoregressive sfvar model compared to the traditional var both models incorporate information from hundreds of data series series that can be and are monitored by the central bank in

global factors and trend inflation abstract we develop an empirical model to study the influence of global factors in driving trend inflation and the inflation gap we apply our model to 7 developed economies and 21 emerging market economies our results suggest that while global factors can have a sizeable influence on the inflation gap they play only a marginal role in driving trend inflation much of the influence of global factors in the inflation gap may be reflecting commodity price shocks finally we find the effect of global factors to be greater in our sample of emerging market economies relative to the developed economies there is some evidence which suggest propagation mechanisms which may reflect institutional structures or policy choices can explain the greater role for global factors in driving trend inflation in emerging market economies

let s get real a factor analytical approach to disaggregated business cycle dynamics this paper develops a method for analysing the dynamics of large cross sections based on a factor analytic model we use law of large numbers arguments to show that the number of common factors can be determined by a principal components method the economy wide shocks can be identified by means of simple structural var techniques and that the parameters of the unobserved factor model can be estimated consistently by applying ols equation by equation we distinguish between a technological and a non technological shock identification is obtained by minimizing the negative realizations of the technology shock empirical results on 4 digit industrial output and productivity for the u s economy from 1958 to 1986 show that 1 at least two economy wide shocks both having a long run effect on sectoral output are needed to explain the common dynamics 2 although the technological shock accounts for at least 50 of the aggregate dynamics of output it cannot by itself explain dynamics at business cycle frequencies 3 sector specific shocks explain the main bulk of total variance but generate mainly high frequency dynamics 4 both the technological and the non technological component of output show a peak for positive sectoral comovements of output at business cycle frequencies 5 technological shocks are strongly correlated with the growth rates of the investment in machinery and equipment sectors and their inputs many interesting questions about cyclical fluctuations and economic growth can be answered only by studying the dynamic behaviour of sectoral variables when data contain information on time for a large cross section of sectors traditional econometric techniques used in the macroeconomic literature such as vector autoregressive var and vector autoregressive moving average varma models are not appropriate since they require the estimation of too many parameters this is why new methods which allow for the reduction of the parameter space need to be developed the objective of this paper is both methodological and descriptive at the methodological level we develop a simple framework for the dynamic analysis of large cross sections the basic model is a dynamic factor analytic model as in sargent and sims 1977 the sectoral variables are decomposed into two unobservable components a common component driven by macroeconomic shocks and a purely sectoral component when

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

a note on modelling core inflation for the uk using a new dynamic factor estimation method and a large disaggregated price index dataset abstract the term core inflation is widely used by academics and central bankers though there is no widely accepted definition or agreed method of measuring it in this paper we propose a new measure of core inflation which is atheoretical but assumes factor structure for the disaggregated price indices which underlie most constructed measures of inflation we show that the measure of core inflation obtained has added predictive ability for inflation in the uk over a relatively long evaluation period

confidence and the transmission of macroeconomic uncertainty in u s recessions abstractthis article studies the role of confidence in the transmission of uncertainty shocks during u s recessions i use smooth transition vector autoregression st var to examine the regime dependent effect of uncertainty shocks and a counterfactual decomposition to isolate the role of confidence when the economy is in different regimes recessions and non recessions i find that shutting down the confidence channel leads to greatly dampened and less persistent effects of uncertainty shocks especially during recessions i also find that the cross regime difference in the role of confidence can largely explain the cross regime short run difference in the effects of uncertainty shocks

the strategic use of capacity slack in the economic lot scheduling problem with random demand growing interest in designing systems with capacity slack as one form of flexibility raises many questions about its use and its usefulness in the framework of the economic lot scheduling problem with stochastic demand we develop on optimization based model that considers capacity slack safety stock and overtime explicitly and has the objective of minimizing the expected cost per unit time of inventory overtime and where applicable setup costs the solution is a continuous time production plan that consists of a time dependent inventory trajectory for each of the parts including the placement of planned idle time in the schedule we consider schedule stability to be desirable because of potential effects on upstream and downstream operations in multistage production settings thus the plan also has certain characteristics that contribute to achieving stability our results on the relative merits of capacity slack and safety stock indicate that capacity slack in the form of planned idle time is

did financial factors matter during the great recession abstract yes they mattered to reply to this question we assess the predictive content of macroeconomic and financial latent factors on the key variables industrial productivity short term interest rate and inflation during the great recession period 2007 2009 in the united states in this respect we propose a forecasting analysis using a factor augmented var model when we estimate the model with only financial factors we improve the predictions in the short and medium horizons meanwhile when we estimate the model with only macroeconomic factors we improve the forecasting performance in the longer horizon

factor forecasting using international targeted predictors the case of german gdp abstract papers on factor forecasting are often focused on national data only this paper highlights the role of international data for forecasting german gdp and shows how targeted predictors as proposed by bai and ng forecasting economic time series using targeted predictors journal of econometrics 146 2008 304 317 can improve forecast accuracy

optimizing service level and relevant cost for a stochastic multi item cyclic production system a multi item make to order production system in a stochastic environment is analyzed assuming a common cycle production approach the impact of safety stock cycle time demand processing time and setup time on service level and total relevant cost holding setup and backorder cost is determined to illustrate this relationship a trajectory for the service level with respect to the relevant cost holding and setup is presented furthermore algorithms to calculate the cycle time which leads to maximum service level at constant safety stock and to calculate the pair cycle time and safety stock which minimize total relevant cost are introduced

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

attracting and retaining investments in uncertain times singapore in south east asia this paper takes a political economy approach in evaluating the state s role in investment promotion using the asian financial crisis as an opportunity to study regulatory mechanisms the paper examines both state society relations as well as relations between singapore and its neighbours indonesia and malaysia the difficult policies which singapore enacted during the crisis namely a wage cut as well as the drive to recruit foreign skilled labour in the midst of a depressed economy cannot be understood except in terms of an institutional context involving agencies interest groups and segments of society and the state s continuing ideological work and specifically within an embedded autonomy position where the state was able to fend off lobbying efforts while at the same time using its position with the unions to push for wage cuts and skilled foreign labour such embedding or nestedness was also apparent in singapore s regional relations the incorporation of the riau islands in indonesia in sub re

the stochastic economic lot scheduling problem cyclical base stock policies with idle times in this paper we discuss stochastic economic lot scheduling problems elsp i e settings where several items need to be produced in a common facility with limited capacity under significant uncertainty regarding demands production times setup times or combinations thereof we propose a class of production inventory strategies for stochastic elsps and describe how a strategy which minimizes holding backlogging and setup costs within this class can be effectively determined and evaluated the proposed class of strategies is simple but rich and effective when the facility is assigned to a given item production continues until either a specific target inventory level is reached or a specific production batch has been completed the different items are produced in a given sequence or rotation cycle possibly with idle times inserted between the completion of an item s production batch and the setup for the next item an optimal strategy within the class can be determined and all relevant performance measures can be evaluated in just a few cpu seconds using a 486 based pc we also derive a number of easily computable lower bounds for the optimal cost value and establish a comparison with deterministic elsps

government action social capital and development reviewing the evidence on synergy abstract instead of assuming a zero sum relationship between government involvement and private cooperative efforts the five preceding articles argue for the possibility of state society synergy that active government and mobilized communities can enhance each others developmental efforts this article draws on these articles to explore the forms and sources of state society synergy i argue that synergy usually combines complementarity with embeddedness and is most easily fostered in societies characterized by egalitarian social structures ard robust coherent state bureaucracies i also argue however that synergy is constructable even in the more adverse circumstances typical of third world countries

lot sizes in a capacity constrained facility a simulation study of stationary stochastic demand abstract this paper considers the scheduling of several different items on a single machine in literature known as the economic lot scheduling problem elsp one of the characteristics of this problem is that the demand rate is deterministic and constant however in a practical situation demand usually varies in this paper we examine if a deterministic model can be used if demand is stationary stochastic a dynamic programming approach from bomberger manage sci 12 11 1966 778 and a heuristic method from segerstedt int j production econom 59 1 3 1999 469 are used to calculate lot sizes for four items the production of these items is simulated with different variations in demand rates our conclusion is that a deterministic model of this kind can be used in a practical situation where the demand rate is stationary stochastic but the models must be complemented by a decision rule which item to produce and when to produce it in our tests the heuristic method and the dynamic programming approach perform rather similarly with respect to costs and inventory levels but the dynamic programming approach results in more backorders when there is small variation in demand rates this study indicates that the model used for determination of lot sizes is of less importance than the decision rule used for identification of the item to produce and when to produce it

models of mortality rates analysing the residuals abstractthe area of mortality modelling has received significant attention over the last 25 years owing to the need to quantify and forecast improving mortality rates this need is driven primarily by the concern of governments insurance and actuarial professionals and individuals to be able to fund their old age in particular to quantify the costs of increasing longevity we need suitable model of mortality rates that capture the dynamics of the data and forecast them with sufficient accuracy to make them useful in this article we test several of the leading time series models by considering the fitting quality and in particular testing the residuals of those models for normality properties in a wide ranging study considering 30 countries we find that almost exclusively the residuals do not demonstrate normality further in hurst tests of the residuals we find evidence that structure remains that is not captured by the models

determination of an order up to policy in the stochastic economic lot scheduling model we consider a production inventory problem with compound renewal item demand the model consists of stockpoints one for each item controlled according to r s policies and one machine which replenishes them the replenishment orders are produced with a fixed rate on the machine with significant setup times and costs which are stochastic and sequence dependent the time between the release and the production of the replenishment order is called the waiting time we develop analytical approximations for the first two moments of this waiting time the order up to levels and the average physical inventory levels for all stockpoints given the target fill rates these analytical approximations allows for a quick evaluation of the waiting time which is important when optimization of the system is considered

uncertainty shocks and unemployment dynamics in u s recessions abstract what are the effects of uncertainty shocks on unemployment dynamics we answer this question by estimating non linear smooth transition vars with post wwii u s data the relevance of uncertainty shocks is found to be much larger than that predicted by standard linear vars in terms of i magnitude of the reaction of the unemployment rate to such shocks and ii contribution to the variance of the prediction errors of unemployment at business cycle frequencies the ability of different classes of dsge models to replicate our results is discussed

limits of state strength toward an institutionalist view of economic development nomic development attempted to explain why growth did not occur occurred slowly or occurred in a distorted dependent form the impressive economic performances of the east asian newly industrialized countries nics have changed this many noneconomists as well as some economists are now focusing on the political bases of development rather than underdevelopment there are differences among these analysts some distance themselves from neoclassical economics by emphasizing the importance of getting the prices wrong others acknowledge the utility of market conforming policies but common to recent studies of nics is the belief that growthpromoting economic policies require certain types of domestic political institutions analysts have emphasized the utility of strong states in this regard 2 through an analysis of efforts to promote local auto manufacturing in southeast as well as east asia this article argues for an institutionalist approach to development that goes beyond statism the resolution of collective action problems is central to statist writings development requires that private returns to individual activities be brought in line with the broader needs of national development 3 two factors are presumed to obstruct such harmonization in developing

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

the nairu unemployment and monetary policy this paper examines the precision of conventional estimates of the nairu and the role of the nairu and unemployment in forecasting inflation the authors find that although there is a clear empirical phillips relation the nairu is imprecisely estimated forecasts of inflation are insensitive to the nairu and there are other leading indicators of inflation that are at least as good as unemployment this suggests deemphasizing the nairu in public discourse about monetary policy and instead drawing on a richer variety of leading indicators of inflation