estimation of a taiwan monetary reaction function with time varying parameters this paper employs a nonlinear kalman filter to examine the time varying responses of taiwan s monetary policy in the presence of a limited dependent variable the kalman filtered parameters reveal that the responses are not constant but change over time furthermore a counter cyclical reaction function is identified and a stronger than usual discretionary policy during the recessions is found

the differential regional effects of monetary policy this paper examines whether monetary policy has similar effects across regions in the united states impulse response functions from an estimated structural vector autoregression reveal a core of regions new england mideast plains southeast and the far west that respond to monetary policy changes in ways that closely approximate the u s average response of the three noncore regions one great lakes is noticeably more sensitive to monetary policy changes and two southwest and rocky mountains are found to be much less sensitive a state level version of the model is estimated and used to provide evidence on the channels for monetary policy

the federal funds rate and the channels of monetary transmission the authors show that the interest rate on federal funds is extremely informative about future movements of real macroeconomic variables then they argue that the reason for this forecasting success is that the funds rate sensitively records shocks to the supply of bank reserves that is the funds rate is a good indicator of monetary policy actions finally using innovations to the funds rate as a measure of changes in policy the authors present evidence consistent with the view that monetary policy works at least in part through credit i e bank loans as well as through money i e bank deposits copyright 1992 by american economic association

monetary policy matters abstract this paper addresses hoover and perez s comments on our 1989 paper we first show that the estimated impact of monetary policy shifts remains large and ranges from marginally to strongly significant when oil shocks are controlled for we then extend our previous work by expanding the sample period and identifying an additional policy shift in december 1988 with this extension the estimated effects of monetary policy shifts are large and highly significant for all reasonable specifications of oil shocks we also demonstrate that hoover and perez s other objections have little bearing on our conclusions

dynamic forecasts of qualitative variables a qual var model of u s recessions this article presents a new qual var model for incorporating information from qualitative and or discrete variables in vector autoregressions with a qual var it is possible to create dynamic forecasts of the qualitative variable using standard var projections previous forecasting methods for qualitative variables in contrast produce only static forecasts i apply the qual var to forecasting the 2001 business recession out of sample and to analyzing the romer and romer narrative measure of monetary policy contractions as an endogenous variable in a var out of sample the model predicts the timing of the 2001 recession quite well relative to the recession probabilities put forth at the time by professional forecasters qual vars which include information about the qualitative variable can also enhance the quality of density forecasts of the other variables in the system

on the electrification of road transport learning rates and price forecasts for hybrid electric and battery electric vehicles abstract hybrid electric vehicles hevs and battery electric vehicles bevs are currently more expensive than conventional passenger cars but may become cheaper due to technological learning here we obtain insight into the prospects of future price decline by establishing ex post learning rates for hevs and ex ante price forecasts for hevs and bevs since 1997 hevs have shown a robust decline in their price and price differential at learning rates of 7 2 and 23 5 respectively by 2010 hevs were only 31 22 2010 kw 1 more expensive than conventional cars mass produced bevs are currently introduced into the market at prices of 479 171 2010 kw 1 which is 285 213 2010 kw 1 and 316 209 2010 kw 1 more expensive than hevs and conventional cars our forecast suggests that price breakeven with these vehicles may only be achieved by 2026 and 2032 when 50 and 80 million bevs respectively would have been produced worldwide we estimate that bevs may require until then global learning investments of 100 150 billion which is less than the global subsidies for fossil fuel consumption paid in 2009 these findings suggest that hevs including plug in hevs could become the dominant vehicle technology in the next two decades while bevs may require long term policy support

time varying response of monetary policy to macroeconomic conditions we reject the hypothesis that the federal reserve s response to the macroeconomy over the period of 1953 1994 can be accurately represented with a fixed parameter discrete choice model thus we model the fed s time varying response with a nonlinear kalman filter the estimated time paths of the reaction function coefficients suggest that the fed has responded countercyclically to movements in the price level except for the middle 1970s when it accommodated inflation the fed has generally responded countercyclically to unemployment and output during recessions however it has not maintained a countercyclical policy during nonrecessionary times until the 1980s a reaction function empirically relates a monetary policy indicator often the federal funds rate or a monetary aggregate to the macroeconomic objectives of monetary policy usually national output inflation and unemployment assuming that the underlying macroeconomy is stable estimated coefficients from a reaction function reveal information about the monetary authority s response to macroeconomic conditions chappell havrilesky and mcgregor 1993 beyond the assumption described above most reaction function studies further assume that the federal reserve s response function is linear in the sense that it contains fixed coefficients see the survey by barth sickles and weist 1982 and more recently chappell havrilesky and mcgregor 1993 that is most studies implicitly assume that the fed responds to a change in inflation for example with the same vigor regardless of whether the level of inflation is unusually high or low and regardless of the timing of the response with respect to the business cycle elections and so on although it is generally recognized that a fixed coefficient estimate of the fed s reaction function overly homogenizes the fed s actual response to macroeconomic conditions solutions to the problem have been ad hoc studies that seek to expose a political business cycle impose structural break points on the fed s reaction function based on pre and postelections periods and then estimate a fixed coefficient reaction function within each subperiod hakes 1988a chappell havrilesky and mcgregor 1993 gamber and hakes 1997 other studies impose structural break points based on political or policy regimes and then estimate a fixed coefficient

in defense of base drift the federal reserve has been criticized for allowing the base from which it calculates its target growth paths for the monetary aggregatesto drift from year to year in response to past deviations from target drift in the base implies that target misses permanently affect the levels of the monetary aggregates using a simple theoretical model this paper shows that the optimal degree of base drift consistent withprice stability depends on the importance of permanent versus transitory income and velocity disturbances neither zero base drift nor complete base drift are likely to be compatible with price stability copyright 1986 by american economic association

product market competition and the industry price cost markup fluctuations abstract we examine the role played by imperfect competition in the response of markups to energy price and monetary changes we find i for concentrated industries markups increase with monetary expansion and decrease when energy prices increase the elasticity with respect to energy prices is greater than monetary changes ii for low concentration industries markups are virtually unaffected by monetary changes and the energy price elasticities are statistically insignificant iii markups are procyclical over the industry specific cycle and iv increased import competition lowers markups only in the concentrated industries the energy price increases decreases during the 1970s 1980s may have been a key factor contributing to the narrowing widening of the markup gap between high and low concentration industries we provide evidence that procyclical markups in concentrated industries are not being driven by differences in the degree of labor hoarding between low and high concentration industries

testing for the presence of some features of increasing returns to adoption factors in energy system dynamics an analysis via the learning curve approach the purpose of this paper is to explain the sources of energy system lock in it presents a comparative analysis of the respective contributions of some features of increasing returns to adoption factors i e learning by doing learning by searching and returns to scale effects in explaining the technological change dynamics in the energy system the paper is technically based on a critical analysis of the learning curve approach econometric estimation of learning and scale effects inherent to seven energy technologies were performed by the use of several learning curve specifications these specifications permit to deal with some crucial issues related to the learning curve estimation which are associated with the problem of omitted variable bias the endogeneity effects and the choice of learning indicators results show that dynamic economies from learning effects coupled with static economies from scale effects are responsible for the lock in phenomena of the energy system they also show that the magnitude of such effects is correlated with the technology life cycle maturity in particular results point out that 1 the emerging technologies exhibit low learning rates associated with diseconomies of scale which are argued to be symptomatic of the outset of the deployment of new technologies characterized by diffusion barriers and high level of uncertainty 2 the evolving technologies present rather high learning rates meaning that they respond quickly to capacity expansion and r d activities development 3 conventional mature technologies display low learning rates but increasing returns to scale implying that they are characterized by a limited additional diffusion prospects

money income prices and interest rates including data from the 1980s sharply weakens the postwar time series evidence indicating significant relationships between money however defined and nominal income or between money and either real income or prices separately focusing on data from 1970 onward destroys this evidence altogether evidence indicating cointegration of real income and real money balances with due allowance for the effect of interest rates also deteriorates when the sample extends through the 1980s a positive finding is that the spread between the commercial paper rate and the treasury bill rate consistently contains highly significant information about future movements in real income copyright 1992 by american economic association

using romer and romer s new measure of monetary policy shocks to identify the ad and as shocks this article re examines the series of exogenous federal funds rate ffr shocks created by romer and romer 2004 for the period 1969 01 1996 12 we hypothesize that if romer and romer have constructed a reasonable set of monetary policy shocks then including them in a small vector autoregression var should help to identify other structural shocks that affected the united states economy during their sample period using a sample period of 1971 01 1996 12 we are easily able to identify both an aggregate demand ad shock and an aggregate supply as shock without imposing any sign or long run restrictions we present historical decompositions that allow us to compare the relative importance of these shocks with that of the exogenous monetary policy shocks in explaining output fluctuations during the 1973 1975 1980 1984 and 1990 1991 business cycle episodes

the equilibrium fed funds rate and the indicator properties of term structure spreads i introduction interest rate spreads figure prominently in the economics literature as monetary policy indicators for instance while some writers have focused on the predictive power of the spread between the six month commercial paper rate and the six month treasury bill rate others have emphasized spreads between short and long term interest rates 1 this paper follows the latter tradition my analysis is motivated by the work of bernanke and blinder 1992 who compare the difference between the federal funds rate and the ten year government bond rate with other interest rate spreads and find it to be a particularly useful predictor of future economic activity the rationale for using term structure spreads as monetary policy indicators is relatively straightforward 2 when assessing the stance of monetary policy it is not just the level of the federal funds rate that matters but how it relates to some implicit notion of equilibrium interest rates this insight is not new and can be found in the seminal work of wicksell 1898 xxv who wrote that it is not a high or low rate of interest in the absolute sense which must be regarded as influencing demand the causative factor is the current rate on loans as compared with what i shall be calling the natural rate of interest the direct empirical implementation of the wicksellian insight is however obviously hampered by the fact that the natural rate of interest is not an observable variable as suggested by laurent 1988 and bernanke and blinder 1992 the slope of the term structure is often used as a proxy for the spread between a short term interest rate and its unobservable equilibrium level thus the yield curve steepens as short term interest rates are perceived to be below their equilibrium levels i follow a more direct approach to measuring the stance of monetary policy instead of using the slope of the term structure as a proxy for the gap between observed and equilibrium federal funds rates i introduce a model based method to constructing a measure of the level of the equilibrium funds rate as described below this equilibrium rate is calculated for the real sectors of the economy conditional on the observed rate of inflation thus the equilibrium rate is constructed to be independent of the inflation objectives of monetary policy and the implied difference between actual and equilibrium rates the funds rate spread constitutes my monetary policy indicator this paper provides an overview of the proposed methodology and compares the funds rate spread with traditional indicators of the monetary policy stance ii a model based measure of the spread i rely on the estimated structure of a macroeconometric model to measure the equilibrium federal funds rate the theoretical framework is the mit penn ssrc mps model which is housed at the federal reserve board this is a large scale quarterly model of the u s economy it consists of more than 100 behavioral equations about 200 identities and over 100 exogenous variables in its theoretical foundations the long run properties of the model are akin to a neoclassical growth model whereas the dynamic structure is essentially keynesian 3 the approach used in this paper is a departure from the traditional literature in at least two dimensions first i use an explicit theoretic framework to compute the equilibrium measure as opposed to the empirically based approach of using long term interest rates second by focusing on the equilibrium level of the federal funds rate i have a more direct way to gauge the stance of monetary policy the equilibria analyzed here correspond to intermediate run dynamics a time frame that seems most relevant for the conduct of monetary policy conceptually the equilibrium notion i explore is a simple one for a given position of the mps model s is block the equilibrium federal funds rate is defined as the one consistent with unemployment at its natural rate after all lags in the model have fully worked through

time varying discrete monetary policy reaction functions a novel dynamic ordered probit model with time varying parameters is proposed to estimate a monetary policy reaction function with narrative based monetary indicators the estimation and inference are carried out using the bayesian simulation based approach empirically these are the following findings first there is strong evidence in support that the central bank in taiwan responds counter cyclically to inflation but weaker if any evidence to economic growth secondly the persistence and consistence in policy making of the monetary authority is confirmed by the significance of the positive autoregressive coefficient although not all the estimates of the tvp dop model provide at least partial support of time varying parameters finally the results indicate that studies of the discrete monetary policy reaction functions without explicitly considering the possible dynamics inherent in the time series data and time variations in model parameters may be inappropriate if not incorrect

the objectives and priorities of monetary policy under different federal reserve chairmen this paper utilizes a monetary policy reaction function that relates policy intentions to forecasts of policy objectives estimates of this reaction function over the post accord period suggest that the burns period was unique while the martin and volcker periods were extremely similar the burns period was structurally distinct from both the martin and volcker periods further model specifications that allow for an independent influence on monetary policy from different presidential administrations also imply that there are significant differences in monetary policy under different fed chairmen copyright 1990 by ohio state university press

technological learning and renewable energy costs implications for us renewable energy policy abstract this paper analyzes the relationship between current renewable energy technology costs and cumulative production research development and demonstration expenditures and other institutional influences combining the theoretical framework of learning by doing and developments in learning by searching with the fields of organizational learning and institutional economics offers a complete methodological framework to examine the underlying capital cost trajectory when developing electricity cost estimates used in energy policy planning models sensitivities of the learning rates for global wind and solar photovoltaic technologies to changes in the model parameters are tested the implications of the results indicate that institutional policy instruments play an important role for these technologies to achieve cost reductions and further market adoption

cost effectiveness as energy policy mechanisms the paradox of technology neutral and technology specific policies in the short and long term when choosing policy mechanisms to design and deploy energy policies policymakers typically seek cost effective ones linking cost effectiveness to the lowest cost of support for res e generation and or consumer costs the objectives of this paper are to analyze the cost effectiveness of renewable portfolio standards rps feed in tariffs fit and auctions in the short and long term considering both technology neutral and technology specific approaches results show that rps and auctions are more cost effective than feed in tariffs fit in the short term if cost effectiveness is defined as minimizing consumer costs also if one or more emerging technologies with higher levelized life cycle costs lcc low cumulative production and high experience elasticity are considered in the pool of res e policy design a technology neutral approach in the short term could lock out these emerging technologies avoiding a long term lcc reduction in this case a technology specific policy used in the short term would reflect lower total generation policy costs in the long term if compared with a technology neutral policy in both short and long term this paper calls this phenomenon the paradox of technology neutral and technology specific policies in the long term considering the results this paper suggests a mix of technology neutral and technology specific policies using rps or auction mechanisms to promote res e

words are not all created equal a new measure of ecb communication we develop a field specific dictionary to measure the stance of the european central bank ecb monetary policy dovish neutral hawkish and the state of the eurozone economy positive neutral negative through the content of ecb press conferences in contrast with traditional textual analysis we propose a novel approach using term weighting and contiguous sequence of words n grams to better capture the subtlety of central bank communication we find that quantifying ecb communication using our field specific weighted lexicon helps to explain future ecb monetary decisions when considering an augmented taylor rule regarding european stock market volatility we find that markets are more less volatile on the day following a conference with a negative positive tone about the euro area economic outlook our indicators significantly outperform a textual classification based on the loughran mcdonald or apel blix grimaldi dictionaries and a media based measure of economic policy uncertainty

the capital crunch neither a borrower nor a lender be the dramatic reduction in the growth rate of bank lending associated with the 1990 91 recession particularly in new england has evoked claims by many observers of a credit crunch however because of the difficulty in determining whether the observed slow credit growth is a demand or supply phenomenon convincing evidence of the practical importance of credit crunches for economic activity remains elusive we overcome this obstacle by examining a cross section of banks in new england that have experienced the same economic downturn effectively controlling for changes in demand we find empirical support for a capital crunch whereby poorly capitalized institutions shrink to satisfy capital requirements this alone is not a sufficient condition for a credit crunch however we find s6me additional evidence that the ca ital crunch may have limited credit availability in new england

budget deficits inflation risk and asset prices abstract kitchen examines how us budget deficit news affects asset prices and concludes that news of lower deficits reduces the inflation risk premium this paper constructs narrative histories of several deficit reduction laws to identify when markets learned that deficits would fall it then estimates a multi factor model that allows the inflation risk premium to vary following news of deficit reductions the results indicate that there is a large and statistically significant drop in the factor price associated with inflation following news that budget deficits would decline

technological change in energy systems learning curves logistic curves and input output coefficients abstract learning curves have recently been widely adopted in climate economy models to incorporate endogenous change of energy technologies replacing the conventional assumption of an autonomous energy efficiency improvement however there has been little consideration of the credibility of the learning curve the current trend that many important energy and climate change policy analyses rely on the learning curve means that it is of great importance to critically examine the basis for learning curves here we analyse the use of learning curves in energy technology usually implemented as a simple power function we find that the learning curve cannot separate the effects of price and technological change cannot reflect continuous and qualitative change of both conventional and emerging energy technologies cannot help to determine the time paths of technological investment and misses the central role of r d activity in driving technological change we argue that a logistic curve of improving performance modified to include r d activity as a driving variable can better describe the cost reductions in energy technologies furthermore we demonstrate that the top down leontief technology can incorporate the bottom up technologies that improve along either the learning curve or the logistic curve through changing input output coefficients an application to uk wind power illustrates that the logistic curve fits the observed data better and implies greater potential for cost reduction than the learning curve does

narrative and var approaches to monetary policy common identification problems abstract romer and romer romer c d romer d h 1989 does monetary policy matter a new test in the spirit of friedman and schwartz in blanchard o j fischer s eds nber macroeconomics annual 1989 mit press cambridge ma pp 121 170 romer c d romer d h 1994 monetary policy matters journal of monetary economics 34 75 88 adopted a narrative approach to address the identification problems in time series models of monetary policy based on federal reserve documents the romers created a dummy variable equal to one in periods when the federal reserve contracted in response to perceived inflationary pressures this paper shows 1 the dummy variable is predictable from past macroeconomic variables reflecting the endogenous response of policy to the economy 2 unpredictable changes in the dummy do not generate dynamic responses that look like the effects of monetary policy the identification problems that plague time series models also afflict the narrative approach

quantitative study on long term global solar photovoltaic market abstract this paper analyzes the relationship between the declines in solar photovoltaic pv module costs and cumulative production silicon prices supply demand imbalance and the presence of lower cost chinese products in global pv market using learning curve model state of market development and its connection with learning is also examined results indicate that learning effect is best measured when supplementing output with silicon prices in the analysis learning rate lr diminishes over the time periods examined thereby suggesting the declining of progress as market reaches maturity the outcomes from the learning curve analysis are subsequently applied to project future uptake of pv worldwide module and electricity costs till 2035 demand for pv is anticipated to remain robust with cumulative installed capacity worldwide projected to reach 659 gw by 2035 at the same time module cost is estimated to decline from 3 8 w in 2006 to 1 78 w in 2035 a reduction of over 50 relative to 2006 level unit cost of electricity from pv is predicted to be in the range of 0 13 kwh to 0 17 kwh by 2035 for the three scenarios analyzed

technical change dynamics evidence from the emerging renewable energy technologies abstract this paper explores the respective contributions of the effects of learning and returns to scale in the capital costs reduction pattern experienced by renewables causality analysis and econometric estimation of learning curves are performed on two emerging renewable energy technologies namely pv and wind learning effects appear as an essential driving force a result which concurs with the widely acknowledged importance of experience in technical progress inherent to economic growth the existence of non constant and flexible returns to scale are further highlighted their effect on diffusion dynamics is shown to be potentially considerable particularly at the outset of innovation deployment however returns to scale are suggested to be constant in the long term institutional commitment in supporting innovation therefore seems justified both on the basis of the occurrence of learning effects and diseconomies of scale these findings appear to be essential to the dynamics of innovation diffusion and market structure

the effect of changes in the federal funds rate target on market interest rates in the 1970s abstract this paper examines the influence of monetary policy on interest rates by estimating the effect of changes in the federal funds rate target the federal reserve s policy instrument on market interest rates in the 1970s we find that changes in the target caused large movements in short term rates and smaller but significant movements in intermediate and long term rates we hypothesize that the similarity of the reactions of three six and twelve month rates to changes in the target offers a possible explanation for the lack of support for the expectations theory from studies that have tested the theory using these rates

central bank communication and monetary policy a survey of theory and evidence over the last two decades communication has become an increasingly important aspect of monetary policy these real world developments have spawned a huge new scholarly literature on central bank communication mostly empirical and almost all of it written in this decade we survey this ever growing literature the evidence suggests that communication can be an important and powerful part of the central bank s toolkit since it has the ability to move financial markets to enhance the predictability of monetary policy decisions and potentially to help achieve central banks macroeconomic objectives however the large variation in communication strategies across central banks suggests that a consensus has yet to emerge on what constitutes an optimal communication strategy

an optimization model for renewable energy generation and its application in china a perspective of maximum utilization in response to climate change china s power industry is undertaking the task of reducing carbon emissions renewable energy generation has become an important option for the government and state grid companies it is important to know the maximum possible capacities of renewable energy generation from its different sources in order to plan the construction of the power grid in the future in this paper several important factors affecting the development of renewable energy generation are identified through a review of the existing literature such as cost technical maturity and so on and analyzed combined with the learning curve model the technology diffusion model and expectations about future economic development in china a new model the renewable energy optimization model reom is developed to analyze the development of three renewable energy sources wind power solar power and biomass power from 2009 to 2020 results show that 1 the maximum installed capacities of wind power solar power and biomass power will reach 233321 26680 and 35506 mw in 2020 2 from 2009 to 2020 biomass power will develop rapidly at the early stage while wind power is developed massively at the final stage and solar power has relatively stable growth 3 due to the added capacity in the early periods the unit investment cost of solar power shows a large decline which is good for its following scale development 4 the investment ratio constraint has a large effect on the development of wind power while the constraint of on grid proportion of renewable energy generation has a significant effect on the development of wind power and solar power the results have important policy implications for long term energy planning in developing countries such as china and india

inference using qualitative and quantitative information with an application to monetary policy i introduction there has been a revival of interest in the use of qualitative information in macroeconomic analysis recently an impetus for this revival is the apparent inability of modern statistical analyses that use only quantitative information to resolve significant macroeconomic controversies for example the direction of causality between money and output continues to be the subject of considerable debate the use of qualitative information in macroeconomic analysis has a long tradition mitchell 1927 and burns and mitchell 1946 use the descriptions in thorp s 1926 annals and several statistical series to identify the unobserved phase of the business cycle 1 in their chapters on the federal reserve friedman and schwartz 1963 use diaries policy records and monetary aggregates to identify the stance of monetary policy the essence of this traditional method is that it is prudent to use both qualitative and quantitative information in the process of inference because of the potential gain in confidence associated with cross verification both types of information are needed to identify the asymmetries and nonlinearities that are characteristic of business cycles policy initiatives and other economic phenomena questions concerning the interpretation of results using qualitative information however have been raised 2 a source of unease is the difficulty of assessing a researcher s distillation of the information in descriptive materials no obvious metric for evaluating the coding of a qualitative variable exists i present an alternative framework for combining qualitative and quantitative information in order to draw inferences of an unobservable variable quantitative information is an observable time series variable qualitative information is an indicator variable coded by a researcher that reflects the distillation of literary materials motivated by the traditional method i consider the case where both types of observable information are imperfect representations of an unobserved state variable an iterative algorithm that uses quantitative and qualitative information to draw inferences of the unobservable variable is constructed the algorithm produces an inference of the unobservable state variable for each sample period using the two types of information it also produces a probabilistic assessment of whether the qualitative indicator is a reliable indicator of the true unobserved state as discussed in more detail below this algorithm is closely related to those of cosslett and lee 1985 and hamilton 1989 the algorithm is applied to the problem of determining the stance of monetary policy a goal is to confront a problem that economic agents may actually face because of the secrecy surrounding the monetary policy process a description of that problem is how can observable information qualitative and quantitative be combined to infer the stance of monetary policy also can the reliability of the qualitative information or a distillation of it be measured i implement the algorithm using two prominent indicators of monetary policy the paper is organized as follows the alternative framework for using qualitative and quantitative information to draw inferences of an unobservable variable is presented in the next section the application to the problem of inferring the stance of monetary policy is presented in section iii in this section indicators of policy are introduced the model is estimated and the relationship between the dynamic conditional monetary policy inferences and an important forecaster of macroeconomic activity is explored section iv concludes ii an alternative framework for inference stochastic structure my alternative framework is based on a particular conception of the statistical model underlying the traditional method let y sub t denote a quantitative variable and i sub t denote a 0 1 qualitative variable

technological learning in energy environment economy modelling a survey abstract this paper aims at providing an overview and a critical analysis of the technological learning concept and its incorporation in energy environment economy models a special emphasis is put on surveying and discussing through the so called learning curve both studies estimating learning rates in the energy field and studies incorporating endogenous technological learning in bottom up and top down models the survey of learning rate estimations gives special attention to interpreting and explaining the sources of variability of estimated rates which is shown to be mainly inherent in r d expenditures the problem of omitted variable bias the endogeneity relationship and the role of spillovers large scale models survey show that despite some methodological and computational complexity related to the non linearity and the non convexity associated with the learning curve incorporation results of the numerous modelling experiments give several new insights with regard to the analysis of the prospects of specific technological options and their cost decrease potential bottom up models and with regard to the analysis of strategic considerations especially inherent in the innovation and energy diffusion process in particular the energy sector s endogenous responses to environment policy instruments top down models

the credit channel of monetary policy transmission evidence from stock returns christophre georges this paper offers a novel test of the credit view of the monetary policy transmission mechanism using stock market returns we identify fed policy shocks using newspaper accounts and track daily stock prices immediately following the shocks if the credit channel is important then firms that are dependent on bank credit and internal funds should receive a relatively greater benefit loss from a fed easing tightening than firms with access to nonbank credit at favorable terms we identify ten policy shocks during the expansion of 1993 94 and the credit crunch period of the 1990 91 recession and find little evidence supportive of an operative credit channel jel e5 i introduction recently there has been renewed interest in the mechanism by which monetary policy innovations are transmitted into changes in aggregate output according to the traditional money view monetary policy influences market interest rates inducing changes in interest sensitive spending and consequently changes in output by assumption there is no distinction between financial assets and thus bank loans and internal funds are of no special interest in contrast the credit view e g bernanke and blinder 1988 assumes that bank loans are special due to information asymmetries some businesses are dependent on banks for loanable funds a withdrawal of reserves by the fed causes the supply of bank loans to fall and bank dependent businesses consequently reduce their spending a broader version of this view e g gertler and gilchrist 1993 bernanke and gertler 1995 claims that credit market imperfections contribute to the propagation of monetary policy shocks without working exclusively through the su pply of bank loans tight monetary policy may for example cause a deterioration of borrowers net worth thereby increasing external finance premia in either case this transmission mechanism operates through firms that are credit constrained in the sense that nonbank credit is an imperfect substitute for internal funds and bank loans empirical evidence on the transmission mechanism has been mixed see bernanke and blinder 1992 ramey 1993 kashyap et al 1993 gertler and gilchrist 1993 1994 christiano et al 1996 oliner and rudebusch 1995 1996 kashyap and stein 2000 two fundamental problems make direct tests of the credit view difficult the difficulty of identifying exogenous monetary policy shocks and the difficulty of identifying the relationship between these shocks and subsequent real activity this article offers a novel empirical test of the credit view using stock market returns if the credit channel is important then firms that are credit constrained should receive a relatively greater benefit loss from a fed easing tightening than firms with access to nonbank credit at favorable terms this relative benefit loss should be reflected in the behavior of stock prices immediately following news of the fed policy change we therefore identify changes in market expectations of fed policy calculate abnormal returns the deviations of the actual returns from the returns predicted by an asset pricing model for individual securities immediately following these innovations and test for systematic relationships between these abnormal returns and indicators of credit constraints at the firm level this approach is more indirect than others in the literature but has the advantage of mitigating the two identification problems noted above first the policy shocks that we use are changes in stock market expectations of fed policy we can identify these closely using daily accounts in the business press 1 second because the stock market reacts quickly to changes in expectations of future profitability we observe near contemporaneous responses of stock prices to policy shocks regardless of when in the future profits are expected to be altered

a review of learning rates for electricity supply technologies a variety of mathematical models have been proposed to characterize and quantify the dependency of electricity supply technology costs on various drivers of technological change the most prevalent model form called a learning curve or experience curve is a log linear equation relating the unit cost of a technology to its cumulative installed capacity or electricity generated this one factor model is also the most common method used to represent endogenous technical change in large scale energy economic models that inform energy planning and policy analysis a characteristic parameter is the learning rate defined as the fractional reduction in cost for each doubling of cumulative production or capacity in this paper a literature review of the learning rates reported for 11 power generation technologies employing an array of fossil fuels nuclear and renewable energy sources is presented the review also includes multi factor models proposed for some energy technologies especially two factor models relating cost to cumulative expenditures for research and development r d as well as the cumulative installed capacity or electricity production of a technology for all technologies studied we found substantial variability as much as an order of magnitude in reported learning rates across different studies such variability is not readily explained by systematic differences in the time intervals geographic regions choice of independent variable or other parameters of each study this uncertainty in learning rates together with other limitations of current learning curve formulations suggests the need for much more careful and systematic examination of the influence of how different factors and assumptions affect policy relevant outcomes related to the future choice and cost of electricity supply and other energy technologies

defining the government s debt and deficit although the budget deficit and the public debt feature prominently in political debate and economic research there is no agreement about how they should be measured they can b e defined for different sets of public institutions including the nested sets corresponding to central government general government and the public sector and for any definition of government there are many measures of the debt and deficit including those generated by four kinds of accounts cash financial full accrual and comprehensive which can be derived from four nested sets of assets and liabilities each debt and deficit measure says something about public finances but none tells the whol e story each is also vulnerable to manipulation and is likely to be manipulated if it is subject to a binding fiscal rule or target narrow definitions of government encourage the shifting of spending to entities outside the defined perimeter of governme nt narrow definitions of debt and deficit encourage operations involving off balance sheets assets and liabilities while broad measures are susceptible to the mismeasurement of on balance sheet assets and liabilities reviewing the literature on these is sues the paper concludes that governments should publish several measures of the debt and deficit in a form that clearly reveals their interrelationships

deposit interest rate ceilings as credit supply shifters bank level evidence on the effects of regulation q abstract how did deposit interest rate ceilings an important feature of the u s regulatory regime until the mid 1980s affect individual banks lending and the transmission of monetary policy to credit i estimate the effect of deposit rate ceilings inscribed in regulation q on commercial banks credit growth using a historical bank level data set starting in 1959 banks credit growth contracted sharply when legally fixed deposit rate ceilings were binding interaction terms with monetary policy suggest that the policy impact on bank level credit growth was non linear and significantly larger when rate ceilings were in place bank size and capitalization mitigate these effects at the bank level short term interest rates exceeding the legally fixed deposit rate ceilings identify policy induced credit supply shifts that disappeared with deposit rate deregulation and thus weakened the bank lending channel substantially since the early 1980s

the own price of money and a new channel of monetary transmission traditionally the effects of monetary policy actions on output are thought to be transmitted via monetary or credit channels real business cycle theory by contrast highlights the role of real price changes as a source of revisions in spending and production decisions motivated by the desire to focus on the effects of price changes in the monetary transmission mechanism this paper incorporates a direct measure of the real own price of money into an estimated vector autoregression and a calibrated real business cycle model consistent with the rbc view of the monetary transmission mechanism both approaches reveal that movements in the own price of money are strongly related to movements in output

trade policy and learning by doing the case of semiconductors abstract the study examines the role of learning by doing for production of different types of semiconductors and how this affects the dynamics of market structure for erasable programmable read only memories eproms the learning curve determines aggregate market dynamics whereas for dynamic random access memories drams economies of scale seem to be more important these results are compared with some stylised facts for eproms persistence of leadership in product innovation could be observed whereas for drams there was leap frogging in product innovation moreover scope for vertical product differentiation is more enhanced for eproms and price competition is less intense these findings are then related to the problem of identifying the appropriate trade policies in oligopolistic industries the analysis concerns the antidumping actions undertaken by the european commission it is shown how markets enjoying similar patterns of protection have a completely different evolution of market shares for european producers the conclusion for strategic trade policy is that industry specific features matter crucially

the predictability of fomc decisions evidence from the volcker and greenspan chairmanships this paper examines whether there is a systematic relationship between fomc decisions and publicly available data that would potentially allow the public to anticipate fomc policy changes we characterize each fomc decision as a move to tighten ease or leave policy unchanged and use ordered probit to estimate models of the probabilities of each choice we find a statistically significant relationship between fomc decisions and measures of inflation and real activity but this relationship does not accurately predict the directions of fomc decisions while short term interest rate changes prior to fomc meetings have predictive power suggesting that the financial market can anticipate fomc decisions somewhat other financial variables such as stock price movements appear unrelated to fomc policy changes overall fomc decisions are not highly predictable using publicly available data and adding the private information contained in the fomc s greenbook does not significantly increase the predictive accuracy

understanding wind turbine price trends in the u s over the past decade understanding wind turbine price trends in the u s over the past decade mark bolinger and ryan wiser lawrence berkeley national laboratory pre print of article submitted to energy policy abstract on a per kw basis wind turbine prices in the u s have declined by nearly one third on average since 2008 after having previously doubled over the period from 2002 through 2008 these two substantial and opposing trends over the past decade and particularly the earlier price doubling run counter to the smooth gradually declining cost trajectories predicted by standard learning curve theory taking a bottom up approach we examine seven possible drivers of wind turbine prices in the u s with the goal of estimating the degree to which each contributed to the doubling in turbine prices from 2002 through 2008 as well as the subsequent decline in prices through 2010 in aggregate these seven drivers which include changes in labor costs warranty provisions manufacturer profitability turbine scaling raw materials prices energy prices and foreign exchange rates explain from 70 to 90 depending on the year of empirically observed wind turbine price movements in the u s through 2010 turbine scaling is found to have been the largest single contributor to the price doubling through 2008 although the incremental cost of scaling has been justified by greater energy capture resulting in a lower cost of wind generation acknowledgments the work described in this article was funded by the u s department of energy s wind water power program within the office of energy efficiency and renewable energy under contract no de ac02 05ch11231 disclaimer this document was prepared as an account of work sponsored by the united states government while this document is believed to contain correct information neither the united states government nor any agency thereof nor the regents of the university of california nor any of their employees makes any warranty express or implied or assumes any legal responsibility for the accuracy completeness or usefulness of any information apparatus product or process disclosed or represents that its use would not infringe privately owned rights reference herein to any specific commercial product process or service by its trade name trademark manufacturer or otherwise does not necessarily constitute or imply its endorsement recommendation or favoring by the united states government or any agency thereof or the regents of the university of california the views and opinions of authors expressed herein do not necessarily state or reflect those of the united states government or any agency thereof or the regents of the university of california ernest orlando lawrence berkeley national laboratory is an equal opportunity employer

the relation between narrative and money market indicators of monetary policy this paper studies the relation between narrative based indicators of monetary policy and widely used money market indicators of monetary policy three principal findings emerge first changes in monetary policy as measured by the narrative based policy indices are associated with persistent changes in the levels of m2 and the monetary base in contrast changes in the narrative policy indicators lead to transitory changes in short term interest rates nonborrowed reserves and the spread between the six month commercial paper rate and the three month treasury bill rate third these findings are generally robust across different narrative based policy indices

the impact of r d on innovation for wind energy in denmark germany and the united kingdom this paper examines the impact of public research and development r d support on cost reducing innovation for wind turbine farms in denmark germany and the united kingdom uk first we survey the literature in this field the literature indicates that in denmark r d policy has been more successful than in germany or the uk in promoting innovation of wind turbines furthermore such studies point out that subsidy induced capacity expansions were more effective in the uk and denmark in promoting cost reducing innovation than in germany the second part of the paper describes the quantitative analysis of the impact of r d and capacity expansion on innovation this is calculated using the two factor learning curve 2flc model in which investment cost reductions are explained by cumulative capacity and the r d based knowledge stock time series data were collected for the three countries and organized as a panel data set the parameters of the 2flc model were estimated focusing on the homogeneity and heterogeneity of the parameters across countries we arrived at robust estimations of a learning by doing rate of 5 4 and a learning by searching rate of 12 6 the analysis underlines the homogeneity of the learning parameters enhancing the validity of the 2flc formulation

monetary policy preferences of individual fomc members a content analysis of the memoranda of discussion the memoranda of discussion provide detailed records of federal open market committee fomc meeting deliberations procedures are developed for coding the textual data in the memoranda and assessing the reliability of those codings the codings are then used in the estimation of parameters of individual fomc members reaction functions data from the 1970 to 1976 period are employed in the estimation in the future similar methods could be used to analyze newly released transcripts of fomc meetings held after 1976

rhetoric and action what are central banks doing before elections central bank rhetoric need not always be followed bycorresponding measures in a number of regressions coveringgermany japan and the u s we examine differences in rhetoricand actual behavior before elections using a standard pbcmodel our results indicate that these three central bankshave not been influenced by electoral consideration in thepolicies they implement but the case of the german bundesbankindicates that it may be helpful to distinguish betweenrhetoric and action

a hierarchical cost learning model for developing wind energy infrastructures renewable energy has been increasingly promoted and used to substitute non renewable fossil fuels which cause negative effects on the environment the taiwan statute for renewable energy development has regulated and promoted renewable energy since 2009 a feed in tariff fit for renewable energy is one of the incentives that the government uses to promote the installation of green power generation facilities the price of the electricity feed in tariff is based on the current and future costs of renewable energy generation when analyzing cost trends for renewable energy installation many researchers use a single factor cost learning curve model however past studies indicate that there are multiple factors affecting the overall cost of installing renewable energy hence this research develops a hierarchical installation cost learning model which considers multiple factors to accurately model and forecast wind energy development this research uses wind power development data from taiwan as a case study we identify the cost factors evaluate the learning effects and compare the hierarchical learning curve model to the basic non hierarchical learning curve model the research results show an improved fit between the hierarchical model and the actual data when compared to the basic learning model the study also provides new insights between the wind power learning progression of taiwan and three countries in europe

financial structure and aggregate economic activity an overview this paper surveys literature that explores the possible links between the financial system and aggregate economic behavior the survey is in two parts the first reviews the traditional work and the second discusses new research copyright 1988 by ohio state university press

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

endogenous technological change and the policy mix in renewable power generation abstract this paper introduces the renewable power generation module which complements large scale macro econometric input output models by introducing technological change endogenously into the model so far technological change in renewable power generation technologies is either set exogenously autonomous energy improving technological change or price induced in economic models introducing endogenous technological change is necessary to adequately analyze not only the direct effects but also the indirect effects on important macro economic indicators such as growth employment welfare and trade as well as their feedback to the electricity sector the development of pv module and wind turbine prices is modeled using learning curves at the global scale i e depending on global capacity installed of each of these technologies national capacity additions in turn depend on global prices national policies and economic development while demand pull policies enhance capacity installations technology push policies do not seem to have a significant direct influence the empirical results confirm the overshooting of pv installations in germany which can be slowed down by introducing degression of feed in tariffs over time

evaluating the causes of cost reduction in photovoltaic modules abstract photovoltaic pv module costs have declined rapidly over forty years but the reasons remain elusive here we advance a conceptual framework and quantitative method for quantifying the causes of cost changes in a technology and apply it to pv modules our method begins with a cost model that breaks down cost into variables that changed over time cost change equations are then derived to quantify each variable s contribution we distinguish between changes observed in variables of the cost model which we term low level mechanisms of cost reduction and research and development learning by doing and scale economies which we refer to as high level mechanisms we find that increased module efficiency was the leading low level cause of cost reduction in 1980 2012 contributing almost 25 of the decline government funded and private r d was the most important high level mechanism over this period after 2001 however scale economies became a more significant cause of cost reduction approaching r d in importance policies that stimulate market growth have played a key role in enabling pv s cost reduction through privately funded r d and scale economies and to a lesser extent learning by doing the method presented here can be adapted to retrospectively or prospectively study many technologies and performance metrics besides cost

asymmetric monetary effects on interest rates across monetary policy stances this paper provides new evidence that the interest rates response to a money supply shock varies across the state of the monetary policy stance the state is assigned to one of the tight neutral and loose regimes based on an estimated policy stance index the results of threshold vector autoregression analysis imply that pure liquidity and expected inflation effects vary across regimes with agents reactions to policy the results exhibit a persistent dominating liquidity effect under the neutral and loose regimes but a reversed liquidity effect after a short lag under the tight regime

optimal policy supports for renewable energy technology development a dynamic programming model abstract policy support has played a significant role in driving the rapid development of renewable energy technologies rets this study constructed a dynamic programming model to derive the optimal policy supports for rets integrating both supply and demand sides the sensitivity of policy performance on the cost and price elasticities of ret diffusion was also analyzed the results show that policy supports could be a main force for ret development in their initial periods in the long run policy makers need to decrease the support level faster than the decrease in ret cost to maintain a high policy efficiency further improving the efficiency of policy is possible considering the influences of technical change on ret development

dynamics of energy technologies and global change technological choices largely determine the long term characteristics of industrial society including impacts on the natural environment however the treatment of technology in existing models that are used to project economic and environmental futures remains highly stylized based on work over two decades at iiasa we present a useful typology for technology analysis and discuss methods that can be used to analyze the impact of technological changes on the global environment especially global warming our focus is energy technologies the main source of many atmospheric environmental problems we show that much improved treatment of technology is possible with a combination of historical analysis and new modeling techniques in the historical record we identify characteristic l such network e ects yield high barriers to entry even for superior competitors these simple observations allow three improvements to modeling of technological change and its consequences for global environmental change one is that the replacement of long lived infrastructures over time has also replaced the fuels that power the economy to yield progressively more energy per unit of carbon pollution from coal to oil to gas such replacement has d they also include endogenous generation of s we show that doing so can yield projections with lessened environmental impacts without necessarily incurring negative e ect on the economy arriving on that path by the year 2100 depends on intervening actions such as incentives to promote greater diversity in technology and lower barriers to entry for new infrastructures that could accelerate historical trends of decarbonization 1999 elsevier science ltd all rights reserved

monetary policy and asymmetric response in default risk abstract in this empirical study monetary tightening is found to significantly raise the default risk on baa bonds absolutely and relative to the default risk on aaa bonds monetary easing however does not have a statistically significant effect on either of these variables

the stock of external sovereign debt can we take the data at face value abstract the stock of sovereign debt is typically measured at face value defined as the undiscounted sum of future principal repayments face values are misleading when debts are issued with different contractual forms or maturities in this paper we construct alternative measures of the stock of external sovereign debt for 100 developing countries from 1979 through 2006 that correct for differences in contractual form and maturity we show that our alternative measures 1 paint a very different quantitative and in some cases also qualitative picture of the stock of developing country external sovereign debt 2 often invert rankings of indebtedness across countries which historically defined eligibility for debt forgiveness 3 indicate that the empirical performance of the benchmark quantitative model of sovereign debt deteriorates by roughly 50 once model consistent measures of debt are used 4 show how the spread of aggregation clauses in debt contracts that award creditors voting power in proportion to the contractual face value may introduce inefficiencies into the process of restructuring sovereign debts and 5 illustrate how countries have manipulated their debt issuance to meet fiscal targets written in terms of face values

regional income fluctuations common trends and common cycles this paper investigates trend and cycle dynamics in per capita income for the major u s regions during the 1956 1995 period cointegration and serial correlation common features information are used in jointly decomposing the series into trend and cycle components we find considerable differences in the volatility of regional cycles controlling for differences in volatility we find a great deal of comovement in the cyclical response for all regions but the far west possible sources underlying differences in regional cycles are explored such as the share of a region s income accounted for by manufacturing defense spending as a proportion of a region s income oil price shocks and the stance of monetary policy somewhat surprisingly we find that the share of manufacturing in a region seems to account for little of the variation in regional cycles relative to national cycles but manufacturing share differentially affects trend growth for four of the seven regions studied

economic analysis of the contribution of photovoltaics to the decarbonization of the power sector abstract an analytical method has been developed for the calculation of the future 2013 2050 reduction of co2 emissions by the deployment of photovoltaic pv systems according to three scenarios from the international energy agency 2ds roadmap and new policies next we have also evaluated the financial extra costs incurred in the implementation of the pv systems which would replace the current traditional power generation systems taking as reference four geographical areas european union united states china and the world s average the established method also allows the comparison of the influence on the extra costs of the actual electricity mix as well as the current electricity prices corresponding to the above regional areas in these calculations we have taken into account several frequently ignored factors like solar cell degradation emissions attributed to the pv systems life cycle and the repowering due to the substitution of the systems after their life time is reached finally the results of this work can be of interest in energy planning policies related to the contribution of pv technologies for the decarbonization of the power generation system

private sector influences on monetary policy in the united states i examine the extent to which the federal reserve s monetary policy actions are correlated with the expressed wishes of private sector lobbying groups i update and extend work by havrilesky 1990 1993 regarding the effect of signals from the banking industry through the federal advisory council fac i also construct a new database containing statements from non financial interest groups i find that monetary policy actions are correlated with signals from non financial groups before 1979 but not after and are correlated with signals from the fac after 1979 but not before i also find that the fed s policy stance more closely matches the preferred stance of the banking industry after 1979

unraveling the photovoltaic technology learning curve by incorporation of input price changes and scale effects in a large number of energy models the use of learning curves for estimating technological improvements has become popular this is based on the assumption that technological development can be monitored by following cost development as a function of market size however recent data show that in some stages of photovoltaic technology pv production the market price of pv modules stabilizes even though the cumulative capacity increases this implies that no technological improvement takes place in these periods the cost predicted by the learning curve in the pv study is lower than the market one we propose that this bias results from ignoring the effects of input prices and scale effects and that incorporating the input prices and scale effects into the learning curve theory is an important issue in making cost predictions more reliable in this paper a methodology is described to incorporate the scale and input prices effect as the additional variables into the one factor learning curve which leads to the definition of the multi factor learning curve this multi factor learning curve is not only derived from economic theories but also supported by an empirical study the results clearly show that input prices and scale effects are to be included and that although market prices are stabilizing learning is still taking place

monetary policy announcements and market interest rates response evidence from china abstract this paper examines the daily responses of market interest rates to three monetary policy announcements in china using the event study approach i find that the interest rate responses to announced changes in the regulated retail interest rate and the required reserve ratio are positive and significant at all maturities of interest rates but smaller at the long end of the yield curve by contrast market interest rates barely respond to the qualitative mpc announcements about the monetary policy stance these findings are robust to alternative econometric methods that correct for potential bias arising from violations of the identification assumption these findings suggest that the pbc should formulate its policy communication in a quantitative way

defining the government s debt and deficit defining the government s debt and deficit although the budget deficit and the public debt feature prominently in political debate and economic research there is no agreement about how they should be measured they can be defined for different sets of public institutions including the nested sets corresponding to central government general government and the public sector and for any definition of government there are many measures of the debt and deficit including those generated by four kinds of accounts cash financial full accrual and comprehensive which can be derived from four nested sets of assets and liabilities each debt and deficit measure says something about public finances but none tells the whole story each is also vulnerable to manipulation and is likely to be manipulated if it is subject to a binding fiscal rule or target narrow definitions of government encourage the shifting of spending to entities outside the defined perimeter of government narrow definitions of debt and deficit encourage operations involving off balance sheets assets and liabilities while broad measures are susceptible to the mismeasurement of on balance sheet assets and liabilities reviewing the literature on these issues the paper concludes that governments should publish several measures of the debt and deficit in a form that clearly reveals their interrelationships

the federal reserve s response to aggregate demand and aggregate supply shocks evidence of a partisan political cycle the orthodox approach to modeling the fed s response to economic conditions is to employ a monetary policy reaction function most reaction functions are estimated by regressing a policy indicator possibly the federal funds rate or a monetary aggregate on variables that describe the state of the economy such as unemployment inflation and growth in output under certain conditions which we discuss below estimated coefficients from a reaction function provide information about the fed s monetary policy priorities moreover extending the model to include election and partisan dummy variables may provide information about the fed s response to political pressures there are two problems with interpreting the coefficients in a standard reaction function as the weights that the fed attaches to its policy objectives first the monetary policy decision may not be represented accurately by an aggregate reaction function one that models the fed as a whole because there are twelve voting members on the fomc chappell havrilesky and mcgregor 10 have recently addressed this issue by employing a disaggregated set of reaction functions the second problem with interpreting reaction function coefficients as the weights the fed places on its policy objectives is that this interpretation implicitly assumes structural stability of the underlying macroeconomy abrams froyen and waud 1 31 acknowledge this shortcoming when they state coefficients from estimated reaction functions do not provide direct information on policymaker utility functions rather than being the solution to an unconstrained optimization dependent only on policymaker preferences reaction functions are the output of a constrained maximization where the constraints are the reduced form equations that characterize