interest rates inflation and the aggregate consumption function this paper reports on an empirical study of the effects of interest rates and inflation on aggregate consumption in the united states empirical evidence based on quarterly u s data from the postwar period is first presented in support of the hypothesis that the real rate of interest varies inversely with the rate of inflation at least in the short run regression estimates of an aggregate consumption function for the united states also based on quarterly data from the postwar period are then presented these estimates indicate that the propensity to consume varies inversely with interest rates and directly with the rate of inflation

short run exchange rate uncertainty in latin america this paper to obtain an ex ante measure of exchange rate uncertainty in 11 latin american countries as a preliminary issue the purchasing power parity ppp condition is tested using engle and granger two step procedure and johansen method the argument is that exchange rate uncertainty could be lower if ppp holds in the long run the expected exchange rate uncertainty is estimated according to an extended version of the autoregressive conditionally heteroscedastic arch model the results show that the arch adjusment produces more efficient estimates in seven countries and that the acceptance of ppp has little effect on exchange rate uncertainty

answering the skeptics yes standard volatility models do provide accurate forecasts a voluminous literature has emerged for modeling the temporal dependencies in financial market volatility using arch and stochastic volatility models while most of these studies have documented highly significant in sample parameter estimates and pronounced intertemporal volatility persistence traditional ex post forecast evaluation criteria suggest that the models provide seemingly poor volatility forecasts contrary to this contention we show that volatility models produce strikingly accurate interdaily forecasts for the latent volatility factor that would be of interest in most financial applications new methods for improved ex post interdaily volatility measurements based on high frequency intradaily data are also discussed

licensing effect in consumer choice abstract most choices in the real world follow other choices or judgments the authors show that a prior choice which activates and boosts a positive self concept subsequently licenses the choice of a more self indulgent option the authors propose that licensing can operate by committing to a virtuous act in a preceding choice which reduces negative self attributions associated with the purchase of relative luxuries five studies demonstrate the proposed licensing effect of a prior commitment to a virtuous act on subsequent choice consistent with the authors theory the preference for an indulgent option diminishes if the licensing task is attributed to an external motivation the authors also report a mediation analysis in support of their theoretical explanation that the licensing effect operates by providing a temporary boost in the relevant self concept

testing the efficiency of the canadian u s exchange market under the assumption of no risk premium the efficiency of the canadian u s exchange market for the current float is examined more extensively than previously semi strong form tests which admit the lagged spot rate as a predictor are considered in addition to the standard weak form test these stronger tests reject the joint null hypothesis of an efficient exchange market and no risk premium for the period ending in october 1976 although not for the entire period for almost every year the current spot rate provided a better forecast of the future spot rate than did the current forward rate there is now an extensive empirical literature on testing the efficiency of various foreign exchange markets see 16 for a survey yet almost all of these tests are weak form tests or tests of the bias of the forward exchange rate as a predictor of the future spot rate such tests in the canadian u s exchange market can be found in the work of porter 20 eastman 5 kaserman 10 kohihagen 11 cornell 3 and levich 14 for the canadian float of the 1950s porter 20 and kaserman 10 found that one could not reject the unbiasedness of the forward rate eastman 5 and kohlhagen 11 rejected the unbiasedness of the forward rate for the floating period although not for the subsequent fixed period but their use of overlapping contracts means that their standard errors are biased cornell 3 and levich 14 found that in terms of the root meansquared error criterion the lagged spot rate and the lagged forward rate predicted the current spot rate equally well for more recent periods this paper examines the efficiency of the canadian u s exchange market for the current float july 1970 to december 1978 in a more extensive way than it has been previously examined from the weak form test the paper proceeds to two semi strong form tests which admit the lagged spot rate as a possible predictor throughout the paper various subperiods are considered in addition to the period as a whole

the inflation bias when the central bank targets the natural rate of unemployment abstract this paper studies the proposition that an inflation bias can arise in a setup where a central banker with asymmetric preferences targets the natural unemployment rate preferences are asymmetric in the sense that positive unemployment deviations from the natural rate are weighted more or less severely than negative deviations in the central banker s loss function the bias is proportional to the conditional variance of unemployment the time series predictions of the model are evaluated using data from g7 countries econometric estimates support the prediction that the conditional variance of unemployment and the rate of inflation are positively related

conditional exchange rate volatility and the volume of foreign trade evidence from seven industrialized countries there has long been a concern over the volatility of exchange rates and their impact on the volume of foreign trade however very little attention has been paid to the choice of an appropriate volatility variable as well as the proper specification of the trade equation the sample standard deviation of the exchange rate has been used as a proxy for exchangerate uncertainty in empirical studies that examine the effects of exchange rate uncertainty on the volume of foreign trade see for example akhtar and hilton 1 and gotur 27 these studies have provided conflicting evidence on this issue it has been argued that use of the sample standard deviation is inappropriate because the empirical distribution of exchange rates is not normal 22 10 in this regard subsequent empirical research 12 36 40 41 11 has employed a moving standard deviation of the rate of change of the exchange rate as a proxy for exchange rate uncertainty chowdhury 11 obtained a clear pattern of results that support the hypothesis that the higher volatility of exchange rates led to a reduction in international trade transactions after the breakdown of the bretton woods system in march 1973 other studies have reported ambiguous results 2 the moving standard deviation used in these studies has been criticized in the literature for a ignoring relevant information on the random process generating exchange rates 18 b underestimating the effect of volatility on decisions 52 c distorting the measurement of the volatility variable by smoothing the series 9 and d injecting an element of arbitrariness into the calculation through decisions about the order m of the moving average 43 3

assessing the variability of inflation although there has been much argument over the impact of variable inflation rates upon economic performance there has been surprisingly little attempt to define the term variability of inflation carefully or to test proposed hypotheses connecting variability and the level of inflation precise definitions are given in the paper and a model is constructed showing that the level variability hypothesis may be formulated in terms of the presence of heteroscedasticity in a regression model this theoretical model is used to criticize existing studies while an empirical study with australian data illustrates the application of the approach

money and the dispersion of relative prices a price dispersion equation is tested with data from the german hyperinflation the equation is derived from a version of lucas s and barro s partial information localized market models in this extension different excess demand elasticities across commodities imply a testable dispersion equation in which the explanatory variable is the magnitude of the unperceived money growth in order to test this hypothesis a price dispersion series is constructed and a measure of the unperceived part of money growth is estimated the model receives support from the empirical analysis although it is evident that unincluded variables have important effects on price dispersion

theoretical relations between risk premiums and conditional variances many statistical models of time varying risk premiums including the autoregressive conditional heteroscedasticity arch in mean attempt to exploit a relation between risk premiums and conditional variances or covariances of asset returns we examine this relation in numerical versions of a dynamic asset pricing theory and show that it can be increasing decreasing flat or nonmonotonic its shape depends on both the preferences of the representative agent and the stochastic structure of the economy without additional structure the theory does not provide either a general foundation for arch in mean specifications or a simple interpretation of their parameters

risk response in the beef marketing channel a multivariate generalized arch m approach a model of the farm retail price spread for beef is specified under rational expectations in which systematic risk response on the part of marketing intermediaries is allowed the three equation structural model contains potentially time varying risk terms in margin and supply equations which i approximate and estimate using a multivariate garch in mean approach the estimated model is used to infer relative risk premia in beef margins and to simulate short run equilibrium risk effects results indicate that price risk has at times had substantial impacts on farm and retail beef prices and production

non parametric estimation of econometric functionals in this paper we have reviewed and explored the non parametric density estimation approach for analysing various econometric functionals the applications of density estimation have been emphasized in the specification estimation and testing problems arising in econometrics some limitations of the non parametric approach are also examined and potential future areas of applied and theoretical research have been indicated

support for rational expectations models with u s data abstract this paper compares simplified versions of three macroeconomic models the income expenditure model the st louis model and the rational expectations model nominal income and inflation rate reduced form equations that nest all three theories are fitted to u s quarterly data for period 1951 4 to 1980 2 tests of exclusion restrictions indicate that 1 potential output affects the inflation rate but not nominal income 2 non stationary parameters characterize the inflation equation but not the nominal income equation 3 money affects the inflation rate quicker during periods characterized by volatile money growth rates and by low values of lucas parameter these findings suggest that the rational expectations model best describes the data

portfolio crowding out empirically estimated this paper tests hypotheses regarding the parameters in investors asset demand functions the hypothesis that federal bonds are closer substitutes for equity than for money implies portfolio crowding out by federal borrowing regression studies of asset demand functions have needed to impose prior beliefs to obtain precise and plausible estimates for the parameters this paper uses a mle technique that dominates regression in that it makes full use of the constraint that the parameters are not determined arbitrarily but rather are determined by mean variance optimization on the part of the investor the striking conclusion is that portfolio effects are close to zero

rational expectations supply shocks and the stability of the inflation output tradeoff some time series evidence for the united kingdom 1957 1977 abstract the lucas 1973 supply curve is modified to incorporate both specific and aggregate supply shocks in addition to demand shocks a time series test of the rational expectation natural rate renr hypothesis is derived monthly data for the united kingdom 1957 1977 are split into periods based on a moving variance procedure utilizing zellner palm transfer functions it is shown that a significant reduction in the short run inflation output tradeoff is associated with an increase in the variance of the unanticipated price level this provides evidence in favor of the renr hypothesis moreover the worsened tradeoff is shown to have been caused by higher supply side rather than demand side volatility

fisher phillips friedman and the measured impact of inflation on interest a reply the purpose of this paper is to demonstrate that empirical findings which persistently appear to contradict the fisher hypothesis that the nominal rate of interest should rise by the full amount of an increase in anticipated inflation are due basically to a failure to control for changes in the real rate of interest that are associated with changes in anticipated inflation we are guided in our search for proper specification of a fisher equation by a simple general equilibrium model which is employed to derive the impact of a change in anticipated inflation upon nominal interest given the requirement that commodity money and labor markets remain in equilibrium in effect we depart from the empirical tradition which has grown up around testing of the fisher hypothesis that takes the real interest rate to be independent of anticipated inflation and argues that for anticipated inflation properly measured the data ought to support the fisher hypothesis 1

the effect of forced choice on choice abstract whereas most academic and industry studies of consumer preferences and decision making involve forced choice i e participants are told to choose one of the presented product or service alternatives buyers usually also have the option not to select any alternative an implicit assumption in the experimental practice of forcing choice is that the no choice option draws proportionately from the various available alternatives such that the qualitative conclusions are unaffected however the authors propose that the no choice option competes most directly with alternatives that buyers tend to select when they are uncertain about their preferences building on this general proposition the authors show that the introduction of the no choice option strengthens the attraction effect weakens the compromise effect and decreases the relative share of an option that is average on all dimensions they also examine the mechanisms underlying the impact of having the option not to choose and the condi

an empirical analysis of ex ante profits from forward speculation in foreign exchange markets this paper constructs a time series band for ex ante profits from forward speculation and examines the permanent component of the median of the band for six different exchange markets the unpredictability of ex ante profits is rejected using nonparametric tests deviations of ex ante profits from forward premia are attributed to deviations of nominal exchange rates from martingale processes it is shown that movements in the terms of trade are responsible for most of the variability and serial correlation properties of ex ante profits t is by now widely recognized that the forward rate is not an unbiased predictor of future spot rates and that realized nominal profits from spec ulating in the forward market are nonnegligible and highly volatile see e g hodrick 1987 frankel and meese 1987 however the nature of these profits is as of yet undetermined this paper attempts to shed light on this issue by examining the time series properties of ex ante profits from forward speculations in six foreign exchange markets i focus on three aspects of the problem first i provide a measure of the range and the variability of ex ante profits two issues with contradictory evidence in the literature see hodrick 1987 and frankel 1988 for refer ences second i relate deviations from uncov ered interest parity to risk and to deviations of nominal spot rates from martingale processes third i link the time series properties of ex ante profits to the behavior of the real exchange rate since ex ante profits are not observable the empirical analysis requires the construction of a time series for the expected future spot rate frankel and froot 1987 ito 1988 cumby 1988 and diebold and nason 1990 have all suggested ways of computing this series here i provide an alternative method for constructing a time series for expected future spot rates and for statistically assessing the properties of ex ante profits expected future spot rates are measured as a 90 confidence band obtained from the simulated recursive distribution for the linear predictor of the series i simulate the distribution of the linear predictor rather than use simple point forecasts in order to reduce the forecast error due to parameter uncertainty an addi tional measure for expected future spot rates considered is a point estimate of the permanent component of the median of the band i use nonparametric tests to examine the rela tionship between ex ante profits and other series nonparametric tests are employed here for two reasons first i am interested in the entire popu lation properties of the data existing results are derived by examining only the first and second moments of the data second efficiency tests are generally based on linear parametric functional forms pagan and ullah 1988 have pointed out problems with these tests when the conditional mean of the data is nonlinear nonparametric tests overcome these problems the results indicate that nominal and real rates do not follow martingale processes that a risk premium rarely explains the behavior of the ex ante profits and that variations in expected terms of trade account for the time series proper ties of ex ante profits

the motivating uncertainty effect uncertainty increases resource investment in the process of reward pursuit can a reward of an uncertain magnitude be more motivating than a reward of a certain magnitude this research documents the motivating uncertainty effect and specifies when this effect occurs people invest more effort time and money to qualify for an uncertain reward e g a 50 chance at 2 and a 50 chance at 1 than a certain reward of a higher expected value e g a 100 chance at 2 this effect arises only when people focus on the process of pursuing a reward not when they focus on the outcome the reward itself when the focus is on the process of reward pursuit uncertainty generates positive experience such as excitement and hence increases motivation four studies involving real rewards lend support to the motivating uncertainty effect this research carries theoretical implications for research on risk preference and motivation and practical implications for how to devise cost efficient consumer incentive systems

arch models properties estimation and testing abstract the aim of this survey paper is to provide an account of some of the important developments in the autoregressive conditional heteroskedasticity arch model since its inception in a seminal paper by engle 1982 this model takes account of many observed properties of asset prices and therefore various interpretations can be attributed to it we start with the basic arch models and discuss their different interpretations arch models have been generalized in different directions to accommodate more and more features of the real world we provide a comprehensive treatment of many of the extensions of the original arch model next we discuss estimation and testing for arch models and note that these models lead to some interesting and unique problems there have been numerous applications and we mention some of these as we present different models the paper includes a glossary of the acronyms for the models we describe

the econometric analysis of models with risk terms summary in this paper we have attempted to provide an integrated approach to the estimation of models with risk terms it was argued that there exist orthogonality conditions between variables in the information set and higher order moments of the unanticipated variable density these could be exploited to provide consistent estimators of the parameters associated with the risk term specifically it was recommended that an iv estimator should be applied with instruments constructed from the information set four existing methods commonly used to estimate models with risk terms are examined and applications of the techniques are made to the estimation of the risk term in the us c exchange market and the effects of price uncertainty upon production

risk inflation and the stock market most explanations for the decline in share values over the past two decades have focused on the concurrent increase in inflation this paper considers an alternative explanation a substantial increase in the riskiness of capital investments we show that the variance of firms real gross marginal return on capital has increased significantly increasing the relative riskiness of investors returns on equity and that this can explain a large part of the market decline we also assess the effects of increase in the mean and variance of the inflation rate and a decline in firms expected return on capital this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item

the effects of expected and unexpected volatility on long run growth evidence from 18 developed economies 1 introductionalthough there is disagreement about the magnitude many economists agree that business cycles have negative consequences for welfare in the short run by causing output to deviate from potential as a result most policymakers regard reducing volatility as a desirable goal however there is disagreement about the long run consequences of business cycles some models suggest that business cycle volatility should reduce long run growth in these models increased volatility increases risk reduces investment and slows the growth rate of output in addition volatility may reduce the diffusion rate of new technology which might reduce the long run growth rate hence business cycles have negative short run consequences by causing output to deviate from the trend and negative long run consequences by slowing the long run growth rate if these models are accurate then the welfare consequences of business cycles are more severe than previously thought an alternative view of the growth volatility relationship suggests that there may be a long run benefit to business cycles in these models increased volatility stimulates inventive activity which increases the long run growth rate reduced volatility will be beneficial in the short run but if reduced volatility decreases the long run growth rate then there are costs to stabilization as a result policymakers would face a trade off between business cycle volatility and long run growth in addition it is possible that the long run costs of stabilization policy might exceed the short run benefits this article sheds new light on the growth volatility relationship first this article focuses on two types of volatility expected volatility and unexpected volatility this allows a more thorough test of the two general hypotheses linking growth to volatility second this article empirically examines the relationship between growth and volatility for 18 industrialized nations over a 110 year period therefore the analysis avoids the problem of short time span of data this article proceeds as follows section 2 clarifies the relationship between the competing hypotheses as well as between expected and unexpected volatility section 3 analyzes the growth volatility relationship without making the distinction between expected and unexpected volatility section 4 uses generalized method of moments gmm and ordinary least squares ols along with panel data to estimate the effects of expected and unexpected volatility on growth section 5 concludes with suggestions for further research 2 the growth volatility relationshipthe view that business cycle volatility reduces the long run growth rate focuses on risk bernanke 1983 ramey and ramey 1991 and pindyck 1991 argue that volatility creates risk about future demand and that firms are unlikely to invest in new plants and equipment if they are unsure about the demand for their product the greater the volatility in output the more uncertain future demand becomes the greater the risk and the less likely firms are to invest this negative relationship between volatility and investment might lead to a negative relationship between growth and volatility increased volatility decreases investment which then slows the growth rates of the capital stock and output the effect would be especially pronounced if new technology is embodied in new capital goods ramey and ramey 1995 and macri and sinha 2000 have found results consistent with this view of the growth volatility relationship using aggregate data this view emphasizes the risks associated with unexpected changes in output when firms cannot accurately forecast the demand for their goods they reduce capital expenditures which reduces growth the view that business cycles might increase long run growth focuses on the opportunity cost of productivity enhancing activities peas bean 1990 and saint paul 1993 view firms as solving an intertemporal profit maximizing problem in which producing goods provides profits today but engaging in peas produces profits only in the distant future

intergenerational progress of mexican origin workers in the u s labor market using unique current population survey data from november 1979 and 1989 this paper compares the wage structure across generations of mexican origin men ifind that the sizable earnings advantage u s born mexican americans enjoy over mexican immigrants arises not just from intergenerational improvements in years of schooling and english proficiency but also from increased returns to human capital for mexicanorigin workers who were born and educated in the united states progress stalls after the second generation however as the modest gains in human capital that occur between the second and third generations fail to raise the average earnings of mexican americans

the relationship between forecast dispersion and forecast uncertainty evidence from a survey data arch model this paper examines empirically the relationship between measures of forecast dispersion and forecast uncertainty from data on inflation expectations from the livingston survey series and the survey research center src survey series because the survey series do not provide probabilistic forecasts of inflation we derive measures of inflation uncertainty by modelling the conditional variance of the inflation forecast errors from the survey series as an autoregressive conditional heteroscedastic arch process the analysis is complicated by the fact that the overlap of forecast horizons for the survey series does not preclude the model s disturbance terms from displaying autocorrelation and also places a restriction on the specification for the arch measures of inflation uncertainty we estimate the model using hansen s 1982 generalized method of moments gmm procedure to account for the presence of serial correlation and conditional heteroscedasticity in the disturbance terms the results generally support the hypothesis that the measures of forecast dispersion across survey respondents are positively and statistically significantly associated with the measures of inflation uncertainty however the appropriateness of using forecast dispersion measures as proxies for inflation uncertainty is sensitive to the choice of the survey series

aggregate economic activity and the variance of inflation another look abstract the time series of forecast errors and forecast variances estimated from engle s arch model are used to estimate the relationship between the volatility of inflation and key macroeconomic variables this is done using both a lucas supply framework and a granger causality framework the results of the latter in particular are strikingly different from previous work

the persistence of volatility and stock market fluctuations this paper examines the potential influence of changing volatility in stock market prices on the level of stock market prices it demonstrates that volatility is only weakly serially correlated implying that shocks to volatility do not persist these shocks can therefore have only a small impact on stockmarket prices since changes in volatility affect expected required rates of return for relatively short intervals these findings lead us to be skeptical of recent claims that the stock market s poor performance during the 1970 s can be explained by volatility induced increases in risk premia this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item

bilateral exchange rates and risk premia abstract the paper develops a theoretical model of the risk premium in a bilateral exchange rate representative agents in both countries are assumed to hold open positions in foreign exchange together with risky assets denominated in their own currencies also past surpluses in the current account of the balance of payments lead to net foreign asset positions which may partially be covered in the forward markets our two period mean variance model for optimizing investors is combined with standard assumption about the behavior of real exchange rates to give a reduced form equation for the discrepancies between spot rates and lagged forward rates the model is tested for the dollar dm dollar sterling and dollar yen exchange rates using monthly data for the period 1976 86 the null hypothesis of no risk premium is rejected for each of the currencies reported

estimates of the variance of u s inflation based upon the arch model it is generally agreed that the unpredictability of future inflation is a major component of the welfare loss associated with inflation perfectly predicted inflation might induce some costs through institutional rigidities governmental interference and transaction costs but in the long run these should be rather minimal as these institutions adopt various forms of indexing when inflation is unpredictable risk averse economic agents will incur a loss even if prices and quantities are perfectly flexible in all markets inflation is a measure of the relative price of goods today and goods tomorrow thus uncertainty in tomorrow s price impairs the efficiency of today s allocation decisions friedman in his nobel lecture 8 argues convincingly that higher variability of inflation would lead to decreased output ceteris paribus he then conjectures that higher rates of inflation are generally associated with higher variability of inflation and presumably greater uncertainty about future rates if this is true then higher rates of inflation would also be associated with low levels of output which implies a positively sloped phillips curve this paper uses a new statistical technique arch to estimate the conditional mean and variance of inflation from u s time series data the main finding is that the variance of inflation in the seventies was only slightly greater than in the sixties

long and short term interest rates in a risky world abstract the paper develops and tests a general equilibrium model in which variability or risk affects the choice of portfolios our measures of variability include only the variability of unanticipated growth in monetary and non monetary aggregates and our tests use data ending with the change in federal reserve procedures in october 1979 we find that increased variability of unanticipated money growth raises demands for debt and money and reduces the demand for real capital interest rates on both short and long term debt rise by a risk premium we estimate the size of the risk premium before and after the october 1979 change and we show that the change in federal reserve procedures moved the economy to a less efficient point

the efficient estimation of econometric models with rational expectations the efficient estimation of econometric models with rational expectations by the substitution method usually entails the use of a non linear simultaneous equations estimator and hence is not very attractive computationally it is shown that for a wide class of problems efficient estimates can also be obtained with standard estimation methods if instead an errors in variables approach is used for many other problems although not providing fully efficient estimates because rationality is not imposed the errors in variables method will still have a strong appeal because otherwise it uses all of the structural information in the model unlike the substitution method when an incomplete information set is used it guarantees consistent estimates and it is easy to compute

been there done that the impact of effort investment on goal value and consumer motivation in the present article we propose that consumers initial effort investment in pursuing a goal may increase or decrease the value of the goal and the consumer s subsequent motivation depending on whether the pursuit of the goal is perceived to be one s autonomous choice when consumers perceive that the goal they pursue is adopted through an autonomous choice the initial effort investment is experienced as reflecting the value of the goal therefore greater effort should increase the value of the goal as well as consumers subsequent motivation conversely if consumers perceive that the goal has been imposed on them they experience psychological reactance that is proportional to the amount of effort that they expend in pursuing the goal thus they devalue the goal as they invest more effort in its pursuit and show lower subsequent motivation

aggregate uncertainty investment and asymmetric adjustment in the uk manufacturing sector theory suggests that the level of uncertainty facing firms should affect both the rate of adjustment to and the steady state level of investment although there is ambiguity about the sign of the effect a non linear model of investment behaviour incorporating time varying adjustment speeds with threshold effects is estimated for the uk manufacturing sector the most general non linear specification is found to be most congruent with the data uncertainty has a large and significant effect on both levels and rates of adjustment

modeling beef supply response and price volatility under cap reforms the case of greece abstract this study examines the supply response of the greek beef market and the possible effect of the european union s common agricultural policy cap on the greek beef sector during the period 1993 2005 a generalized autoregressive conditional heteroskedasticity garch process is used to estimate expected price and price volatility while several different symmetric asymmetric and non linear garch models are estimated the empirical results show that price volatility and feed price are important risk factors in the supply response function while the negative asymmetric price volatility that was detected implies that producers have a weak market position furthermore the empirical findings confirm that the annual premium paid by the eu to beef producers had a positive impact on the production level and also the change of the eu price support regime after 2006 is having negative effects on beef production level in greece

conditional variance and the risk premium in the foreign exchange market abstract we investigate the existence of a risk premium in the foreign exchange market based on the conditional variance of market forecast errors the forecast errors are assumed to follow the arch process introduced by engle 1982 estimation and diagnostic testing of the model are discussed and results are presented for the currencies of the united kingdom france germany japan and switzerland