financial crises and economic recovery cross country heterogeneity and cross sectional dependence abstract this paper estimates the impulse responses of output to financial crises using a local projections panel estimator that accounts for cross country heterogeneity and cross sectional dependence using a long span of data 1870 2016 for a group of 17 advanced economies we show that once we control for unobserved common factors and parameter heterogeneity in the panel there is strong evidence of economic recovery within the first 10 years after a financial crisis

agricultural land elasticities in the united states and brazil the elasticity of aggregate supply is one key to understanding the degree to which policy induced increases in demand for biofuel feedstocks or agricultural co2 offsets will result in higher prices or expanded supply in this paper we report land supply elasticities for the united states and brazil estimated directly from the observed changes in cropland and estimated changes in expected returns the resulting aggregate implied land use elasticities with respect to price are quite inelastic in the united states and more elastic in brazil 0 007 0 029 and 0 382 0 895 respectively however with pasture land included in brazil implied elasticities become much less inelastic 0 007 0 245

commodity price shocks and civil conflict evidence from colombia how do income shocks aect armed con ict theory suggests two op posite eects if labor is used to appropriate resources violently higher wages may lower con ict by reducing labor supplied to appropriation this is the opportunity cost eect alternatively a rise in contestable income may increase violence by raising gains from appropriation this is the rapacity eect our paper exploits exogenous price shocks in inter national commodity markets and a rich dataset on civil war in colombia to assess how dierent income shocks aect con ict we examine changes in the price of agricultural goods which are labor intensive and natural resources which are capital intensive we focus on coee and oil the two largest exports we nd that a sharp fall in coee prices in the 1990s increased violence dierentially in regions growing more coee by lower ing wages and the opportunity cost of joining armed groups in contrast a rise in oil prices increased violence dierentially in the oil region by in creasing municipal revenue siphoned through rapacity this pattern holds in several other agricultural and natural resource sectors providing robust evidence that price shocks aect con ict in opposite directions depending on the factor intensity of the commodity

the impact of the 2008 financial crisis on dynamic productivity growth of the spanish food manufacturing industry an impulse response analysis the emergence of a financial crisis is an event that can impact the fortunes of nearly all economic agents the focus here is on the 2008 financial crisis and how firms productivity growth was impacted by this crisis in the years that followed this article focuses on dynamic productivity growth and its components using a firm level data set of spanish meat processing dairy processing and oils and fats firms the impulse response analysis shows that the impact of the crisis on dynamic productivity growth is negative and persistent in the oils and fats industry initially positive but then negative in the meat processing industry and positive in the dairy processing industry the observed magnitudes of change in indicator are between 2 and 5 for oils and fats industries and of 1 in both dairy and meat industries our analysis further confirms that firms size is an important factor in explaining how crisis impacts dynamic productivity growth and its components while we find only slight evidence regarding the firms experience in the market

on identification of bayesian dsge models this article is concerned with local identification of individual parameters of dynamic stochastic general equilibrium dsge models estimated by bayesian methods identification is often judged by a comparison of the posterior distribution of a parameter with its prior however these can differ even when the parameter is not identified instead we propose two bayesian indicators of identification the first follows a suggestion by poirier of comparing the posterior density of the parameter of interest with the posterior expectation of its prior conditional on the remaining parameters the second examines the rate at which the posterior precision of the parameter gets updated with the sample size using data simulated at the parameter point of interest for an increasing sequence of sample sizes t for identified parameters the posterior precision increases at rate t for parameters that are either unidentified or are weakly identified the posterior precision may get updated but its rate of update wi

farming or fighting agricultural price shocks and civil war in africa this article links lower economic returns in the labor intensive agricultural sector to a higher risk of armed conflict at the local level it argues that income shocks followed by rising unemployment and lower wages in the rural economy facilitate rebel recruitment and strengthen civilian support for rebel movements focusing on africa the article introduces a location specific measure of changes to the value of local agricultural output by combining sub national crop production maps with data on movements in global agricultural prices the results show that negative changes to the local agricultural price index significantly and substantially increase the risk of violent events

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

estimating the degree of market integration existing tests of spatial market integration are commonly based on statistical criteria without an explicit link to an economic model of price determination this article proposes new measures of market integration defined directly in terms of a well known spatial price determination model and develops an econometric methodology for estimating these measures due to the intractability of the conditional density function of prices we use indirect inference to estimate the model parameters and market integration measures the methodology is illustrated with simulated data and is applied to soybean price data for the united states brazil and the eu copyright 2008 oxford university press

the distributional effects of capital account liberalization abstract episodes of account liberalization increase the gini measure of inequality based on panel data estimates for 149 countries from 1970 to 2010 these episodes are also associated with a persistent increase in the share of income going to the top we investigate three channels through which these impacts could occur first the impact of liberalization on inequality is stronger where credit markets lack depth and financial inclusion is low positive impacts of liberalization on poverty rates also vanish when financial inclusion is low second the impact on inequality is also stronger when liberalization is followed by a financial crisis third liberalization seems to alter the relative bargaining power of firms and workers the labor share of income falls in the aftermath of capital account liberalization

distributional and efficiency impacts of increased us gasoline taxes we examine the impacts of increased us gasoline taxes in a model that links the markets for new used and scrapped vehicles and recognizes the consider able heterogeneity among households and cars household choice parameters derive from an estimation procedure that integrates individual choices for car ownership and miles traveled we find that each cent per gallon increase in the price of gasoline reduces the equilibrium gasoline consumption by about 0 2

testing for indeterminacy an application to u s monetary policy reply this paper considers a prototypical new keynesian model in which the equilibrium is undetermined if monetary policy is passive the likelihood based estimation of dynamic equilibrium models is extended to allow for indeterminacies and sunspot fluctuations we construct posterior weights for the determinacy and indeterminacy region of the parameter space and estimates for the propagation of fundamental and sunspot shocks according to the estimated model u s monetary policy post 1982 is consistent with determinacy whereas the pre volcker policy is not we find that before 1979 indeterminacy substantially altered the propagation of shocks

a commodity price process with a unique continuous invariant distribution having infinite mean we present a model of a storable commodity with a price process different from those usually associated with agricultural commodities or exhaustible resources this model has positive probability of zero output for consumption equal to zero price is infinite in any initial period with finite price the path of expected prices conditional on current information approaches infinity at a rate determined by the cost of storage and the variance also approaches infinity price is expected to fall with probability one in finite time successive price realizations are always correlated storage remains strictly positive and expected consumption exceeds a strictly positive bound there is a continuous limiting invariant distribution of price with infinite mean k

international commodity prices growth and the outbreak of civil war in sub saharan africa to learn more about the effect of economic conditions on civil war we examine whether sub saharan civil wars are more likely to start following downturns in the international price of countries main export commodities the data show a robust effect of commodity price downturns on the outbreak of civil wars we also find that sub saharan countries are more likely to see civil wars following economic downturns in their main oecd export destinations

financial crises output losses and the role of structural reforms financial crises take a heavy toll on output growth we assess the role of structural reforms in reducing the output losses resulting from financial crises across advanced economies emerging and developing economies and low income developing economies we also revisit the role of macroeconomic policies in this context the impact of crises on output growth differs between types of crises and economies thus warranting sample splits along these lines some but not all reforms and policies help to reduce the output losses of crises in the medium term highlighting the need not to overgeneralize the effectiveness of reforms and policies further research is warranted to further explore the heterogeneity in the impact of financial crises on output growth and to better understand when and how specific structural reforms and macroeconomic policies can mitigate the output costs of financial crises jel e32 e44 e63 g28 o47

oil and the macroeconomy since world war ii all but one of the u s recessions since world war ii have been preceded typically with a lag of around three fourths of a year by a dramatic increase in the price of crude petroleum this does not mean that oil shocks caused these recessions evidence is presented however that even over the period 1948 72 this correlation is statistically significant and nonspurious supporting the proposition that oil shocks were a contributing factor in at least some of the u s recessions prior to 1972 by extension energy price increases may account for much of post opec macroeconomic performance

the myth of economic recovery the case of crises in neighboring countries abstract although there is evidence that there are economic spillovers from neighboring countries to the domestic economy there has been lack of effort to discover the persistence of these effects using panel data for a large set of countries i ask whether the effect of crises in neighboring countries on the domestic output is long lasting i show that different sorts of political and financial crises in neighboring countries have a highly persistent impact on the domestic output with no evidence for recovery

withstanding financial crises would trade partners help or hurt abstarctthis article provides new empirical evidence on the losses of real activity caused by various financial shocks spillover effects due to foreign trade linkages deserve special attention to this end we estimate a modify auto regressive process and a seemingly unrelated regression equations estimator is used to account for the dependency of one s country growth on its trade weighted partners growth we run estimations on a set of currency collapses banking crises and sovereign defaults in 49 advanced and developing countries from 1978 to 2011 the trade weighted foreign demand effect mitigated the economic downturn following a banking or a sovereign debt crisis in all countries while only the advanced ones benefited from it after a currency collapse trade based spillover effects make banking crises more costly in the developing countries in those that liberalize their financial account it contrasts with what is observed during currency or sovereign debt crises

the interpretation of instrumental variables estimators in simultaneous equations models with an application to the demand for fish in markets where prices are determined by the intersection of supply and demand curves standard identification results require the presence of instruments that shift one curve but not the other these results are typically presented in the context of linear models with fixed coefficients and additive residuals the first contribution of this paper is an investigation of the consequences of relaxing both the linearity and the additivity assumption for the interpretation of linear instrumental variables estimators without these assumptions the standard linear instrumental variables estimator identifies a weighted average of the derivative of the behavioural relationship of interest a second contribution is the formulation of critical identifying assumptions in terms of demand and supply at different prices and instruments rather than in terms of functional form specific residuals our approach to the simultaneous equations problem and the average derivative interpretation of instrumental variables estimates is illustrated by estimating the demand for fresh whiting at the fulton fish market strong and credible instruments for identification of this demand function are available in the form of weather conditions at sea

explaining the african food riots of 2007 2008 an empirical analysis abstract a sharp escalation in worldwide commodity prices precipitated the global food crisis of 2007 2008 affecting the majority of the world s poor causing protests in developing countries and presenting policymakers with the challenge of simultaneously addressing hunger poverty and political instability these food price shocks fomented violent civil responses in some countries but not others offering a unique opportunity to assess the factors that contributed to these disturbances we explore this question empirically with specific reference to africa where food riots occurred in at least 14 countries by examining the socio economic and political conditions facing african countries we attempt to answer why only some countries in africa witnessed food riots in late 2007 and early 2008 while others did not our empirical analysis demonstrates that higher levels of poverty as proxied by the human poverty index restricted access to and availability of food urbanization a coastal location more oppressive regimes and stronger civil societies are associated with a higher likelihood of riots occurring we also examine three country cases egypt mozambique niger which represent different circumstances and responses to the food crisis and identify specific factors that were associated with food protests in each case our study highlights the importance of pro poor policies and investments and improved governance in addressing the problems facing the poor and in helping secure political stability as the frequency and variability of natural disasters increase in response to climate change such policies can serve to protect the poor from the debilitating consequences of the resulting shocks

rising food prices food price volatility and social unrest can food prices cause social unrest throughout history riots have frequently broken out ostensibly as a consequence of high food prices using monthly data at the international level this article studies the impact of food prices food price levels as well as food price volatility on social unrest because food prices and social unrest are jointly determined data on natural disasters are used to identify the causal relationship flowing from food price levels to social unrest results indicate that for the period 1990 2011 food price increases have led to increases in social unrest whereas food price volatility has not been associated with increases in social unrest these results are robust to alternative definitions of social unrest to using real or nominal prices to using commodity specific price indices instead of aggregated price indices to alternative definitions of the instrumental variable to alternative definitions of volatility and to controlling for non food related social unrest

prediction with misspecified models many decision makers in the public and private sectors routinely consult the implications of formal economic and statistical models in their work especially in large organizations and for important decisions there are often competing models of course no model under consider ation is a literal representation of reality for the purposes at hand more succinctly no model is true and different models focus on different aspects of the relevant environment this fact can often be supported by formal econometric tests concluding that the models at hand are indeed misspecified in various dimensions there are well developed practical bayesian procedures with solid theoretical foundations for combining competing models in decisionmaking geweke 2005 section 1 5 but these procedures all condition on one of the models under consideration being true non bayesian model selection procedures may be less formal but proceed under the same maintained hypothesis this leads to the common situation in which decision makers are left to balance informally the various predictions and decisions that are formal consequences of competing economic and statistical models in this circumstance serious attention is typically granted to the implications of models to which formal econometric procedures assign very little credence the approach taken here draws on a literature long established in statistics and recently emerging in econometrics that dispenses with the condition that one of the models under consider ation is true in its place it substitutes a log scor

measuring the sensitivity of parameter estimates to estimation moments we propose a local measure of the relationship between parameter estimates and the moments of the data they depend on our measure can be computed at negligible cost even for complex structural models we argue that reporting this measure can increase the transparency of structural estimates making it easier for readers to predict the way violations of identifying assumptions would affect the results when the key assumptions are orthogonality between error terms and excluded instruments we show that our measure provides a natural extension of the omitted variables bias formula for nonlinear models we illustrate with applications to published articles in several fields of economics

international business cycles the authors estimate a dynamic two country model in which economic fluctuations are driven by a worldwide supply shock country specific supply shocks and relative fiscal money and preference shocks identification is achieved using only long run restrictions based on a theoretical model the main results are 1 supply shocks particularly country specific ones are very important in generating international business cycles and 2 although the post 1973 flexible exchange rate period has been inherently more volatile there are no differences in transmission properties of economic disturbances across exchange rate regimes for the endogenous variables they focus on copyright 1993 by american economic association

international business cycles world region and country specific factors the paper investigates the common dynamic properties of business cycle fluctuations across countries regions and the world we employ a bayesian dynamic latent factor model to estimate common components in macroeconomic aggregates output consumption and investment in a 60 country sample covering seven regions of the world the results indicate that a common world factor is an important source of volatility for aggregates in most countries providing evidence for a world business cycle we find that region specific factors play only a minor role in explaining fluctuations in economic activity we also document similarities and differences across regions countries and aggregates jel f41 e32 c11 c32

the impact of food prices on conflict revisited abstractstudies that examine the impact of food prices on conflict usually assume that all changes in international food prices are exogenous shocks for individual countries or local areas by is

incentives work getting teachers to come to school we use a randomized experiment and a structural model to test whether monitoring and financial incentives can reduce teacher absence and increase learning in india in treatment schools teachers attendance was monitored daily using cameras and their salaries were made a nonlinear function of attendance teacher absenteeism in the treatment group fell by 21 percentage points relative to the control group and the children s test scores increased by 0 17 standard deviations we estimate a structural dynamic labor supply model and find that teachers respond strongly to financial incentives our model is used to compute cost minimizing compensation policies jel i21 j31 j45 o15

state capacity conflict and development the absence of state capacities to raise revenue and to support markets is a key factor in explaining the persistence of weak states this paper reports on an ongoing project to investigate the incentive to invest in such capacities the paper sets out a simple analytical structure in which state capacities are modeled as forward looking investments by government the approach highlights some determinants of state building including the risk of external or internal conflict the degree of political instability and dependence on natural resources throughout we link these state capacity investments to patterns of development and growth

are output fluctuations transitory according to the conventional view of the business cycle fluctuations in output represent temporary deviations from trend the purpose of this paper is to question this conventional view if fluctuations in output are dominated by temporary deviations from the natural rate of output then an unexpected change in output today should not substantially change one s forecast of output in say five or ten years our examination of quarterly postwar united states data leads us to be skeptical about this implication the data suggest that an unexpected change in real gnp of 1 percent should change one s forecast by over 1 percent over a long horizon

a simple competitive model with production and storage we study a rational expectations partial equilibrium model of a market for a single storable commodity whose output each period is a function of previous period effort on production and a realization of a shock that affects equally all producers i he final demand is non random and depends only on each period s price risk neutral producers make production and storage decisions based on forecasts of future price distributions existence of equilibrium is proved and for the case of i i d shocks several comparative statics results are established as well as the existence and stability of a unique stationary distribution and whose output at each period is a multiplicative function of previous period s planting and of the realization of a shock that affects equally all producers the final demand for this good is non random and depends only on this period s price this describes approximately markets for agricultural products which are not traded internationally and where most of the price uncertainty stems from supply shocks risk neutral producers make their decisions based on forecasts of future price distributions and of known cost functions of storage and production to maximize their discounted profits in order to close the model an assumption on how such price forecasts are made is needed we assume that agents make equilibrium forecasts i e that their forecast is common and that when producers act taking the forecasted prices as given they make decisions that yield the forecasted prices as equilibrium prices this is of course what has been sometimes called rational expectations the assumption of equilibrium expectations and the presence of risk neutral pro ducers will imply that the equilibrium variables may be obtained by considering a related market surplus maximization problem 1 this places strong restriction on the stochastic process of equilibrium prices for the case where the basic shocks are assumed to be independently and identically distributed over time one may thus show that equilibrium prices are a function of a certain state variable the total stocks kept from last period plus this period s output and this allows us to derive properties of equilibrium solutions our main results concerning this case are a storage is a non increasing function of price and expected production a non decreasing one b the elasticity of expected future prices with respect to today s prices is positive and less than one c this elasticity is non constant being zero for high enough prices d the price process follows a renewal process if prices are low

the time varying volatility of macroeconomic fluctuations we investigate the sources of the important shifts in the volatility of us mac roeconomic variables in the postwar period to this end we propose the esti mation of dsge models allowing for time variation in the volatility of the structural innovations we apply our estimation strategy to a large scale model of the business cycle and find that shocks specific to the equilibrium condition of investment account for most of the sharp decline in volatility of the last two decades jel c51 e32

commodity prices and unit root tests price theory suggests that commodity prices should be stationary series yet tests for unit roots rather frequently imply that these prices are not stationary this seeming inconsistency is investigated by applying alternative specifications of unit root tests to prices of corn soybeans barrows and gilts and milk the preponderance of evidence suggests that nominal prices do not have unit roots but the results are sensitive to the specification of the test equation accounting for a structural change that shifts the mean appears to be an important issue in unit root tests

measuring prior sensitivity and prior informativeness in large bayesian models abstract in large bayesian models such as modern dsge models it is difficult to assess how much the prior affects the results this paper derives measures of prior sensitivity and prior informativeness that account for the high dimensional interaction between prior and likelihood information the basis for both measures is the derivative matrix of the posterior mean with respect to the prior mean which is easily obtained from markov chain monte carlo output we illustrate the approach by examining posterior results in the small model of lubik and schorfheide 2004 and the large model of smets and wouters 2007

effects of international food price shocks on political institutions in low income countries evidence from an international food net export price index we examine the effects of variations in the international food prices on political institutions in low income countries our empirical analysis exploits that the economic impact of changes in the international food prices differs across countries depending on whether countries are net food importers or exporters we construct an international food net export price index that captures this heterogeneity our panel fixed effects analysis yields that in low income countries within country variations in the international food net export price index are significantly negatively related to democratic institutions we further explore the mechanisms driving this relationship along the economic and the conflict dimensions

the transmission mechanism of credit support policies in the euro area abstract we use an original monthly dataset of 131 banks to examine the effectiveness and transmission mechanism of the eurosystem s credit support policies in the wake of the banking and sovereign debt crisis first we show that these policies were indeed succesful in stimulating the credit flow of banks to the private sector second we find support for the bank lending view of monetary transmission specifically the policies had a greater impact on loan supply of banks that were more constrained to obtain unsecured external funding i e small banks size effect banks with less liquid balance sheets liquidity effect banks that depended more on wholesale funding retail effect and low capitalized banks capital effect the role of bank capital was however ambiguous besides the above favorable direct effect on loan supply lower levels of bank capitalization at the same time mitigated the size retail and liquidity effects of the policies the drag on the other channels was even dominant i e better capitalized banks responded on average more to the credit support policies of the eurosystem as a result of more favourable size retail and liquidity effects

the economic origins of conflict in africa we study the impact of global food price shocks on local violence across africa in food producing areas higher prices reduce conflict over the control of territory factor conflict and increas

when does government debt crowd out investment summary we examine when government debt crowds out investment for the us economy using an estimated new keynesian model with detailed fiscal specifications and accounting for monetary and fiscal policy interactions whether investment is crowded in or out in the short term depends on policy shocks triggering debt expansions higher debt can crowd in investment for cutting capital tax rates or increasing government investment contrary to the conventional view no systematic relationships between real interest rates and investment exist explaining why reduced form regressions are inconclusive about crowding out at longer horizons distortionary financing is important for the negative investment response to debt copyright 2013 john wiley sons ltd

on the use of holdout samples for model selection researchers often hold out data from the estimation of econometric models to use for external validation however the use of holdout samples is suboptimal from a bayesian perspective which prescribes using the entire sample to form posterior model weights this paper examines a possible rationale for the use of holdout samples data inspired modifications of structural models are likely to lead to an exaggeration of model fit the use of holdout samples can in principle set an incentive for the modeler not to exaggerate model fit

farm acreage shocks and crop prices an svar approach to understanding the impacts of biofuels the last 10 years have seen tremendous expansion in biofuels production particularly in corn ethanol in the united states at the same time that commodity prices e g corn have experienced significant spikes while supporters claim that biofuels are renewable and carbon friendly concerns have been raised about their impacts on land use and food prices this paper analyzes how us crop prices have responded to shocks in acreage supply these shocks can be thought of as a shock to the residual supply of corn for food using a structural vector auto regression framework we examine shocks to a crop s own acreage and to total cropland this allows us to estimate the effect of dedicating cropland or non crop farmlands to biofuels feedstock production a negative shock in own acreage leads to an increase in price for soybeans and corn our calculations show that increased corn ethanol production during the boom production year 2006 2007 explains approximately 27 of the experienced corn price rise

before it gets better the short term employment costs of regulatory reforms the article exploits long time series of industry level data in a group of oecd countries to analyze the short term labor market effects of reforms that lower barriers to entry and dismissal costs estimates show that both policies induce non negligible transitory employment losses the strength of these effects varies depending on the underlying industry and labor market structure and on cyclical conditions the employment cost of deregulation is higher in economic downturns and negligible in good times these findings prove robust to a set of specification and sensitivity checks and are confirmed after standard reverse causality and falsification tests

is economic recovery a myth robust estimation of impulse responses we estimate the impulse response function irf of gdp to a banking crisis using an extension of the local projections method we demonstrate that though robust to misspecifications of the data generating process this method suffers from a hitherto unnoticed bias which increases with the forecast horizon we propose a correction to this bias and show through simulations that it works well applying our corrected local projections estimator to the data from a panel of 99 countries observed between 1974 and 2001 we find that an average banking crisis yields a gdp loss of just under 10 in 10 years with little sign of recovery like the original local projections method our extension of it is widely applicable

assessing the impact of a school subsidy program in mexico using a social experiment to validate a dynamic behavioral model of child schooling and fertility this paper uses data from a randomized social experiment in mexico to estimate and validate a dynamic behavioral model of parental decisions about fertility and child schooling to evaluate the effects of the progresa school subsidy program and to perform a variety of counterfactual experiments of policy alternatives our method of validation estimates the model without using post program data and then compares the model s predictions about program impacts to the experimental impact estimates the results show that the model s predicted program impacts track the experimental results our analysis of counterfactual policies reveals an alternative subsidy schedule that would induce a greater impact on average school attainment at similar cost to the existing program

are government spending multipliers greater during periods of slack evidence from 20th century historical data a key question that has arisen during recent debates is whether government spending multipliers are larger during periods of slack some researchers and policymakers have argued that while government spending multipliers are estimated to be modest on average they might become greater during times when resources are underutilized auerbach and gorodnichenko 2012 forthcoming henceforth ag test this hypothesis and find larger multipliers dur

what to expect when you re calibrating measuring the effect of calibration on the estimation of macroeconomic models abstract i propose two measures of the impact of calibration on the estimation of macroeconomic models the first quantifies the amount of information introduced with respect to each estimated parameter as a result of fixing the value of one or more calibrated parameters the second is a measure of the sensitivity of parameter estimates to perturbations in the calibration values the purpose of the measures is to show researchers how much and in what way calibration affects their estimation results by shifting the location and reducing the spread of the marginal posterior distributions of the estimated parameters such analysis is often appropriate since macroeconomists do not always agree on whether and how to calibrate structural parameters in macroeconomic models the methodology is illustrated using the models estimated in smets and wouters 2007 and schmitt grohe and uribe 2012

policy regimes policy shifts and u s business cycles abstract using an estimated dsge model with monetary and fiscal policy interactions and allowing for equilibrium indeterminacy we find that a passive monetary and passive fiscal policy regime prevailed in the pre volcker period this gave rise to self fulfilling beliefs and unconventional transmission mechanisms of policy shifts unanticipated increases in interest rates increased inflation and output while unanticipated increases in lump sum taxes decreased inflation and output we show that had the monetary policy regime of the post volcker era been in place pre volcker inflation volatility would have been lower by 25 and the rise of inflation in the 1970s would not have occurred

the effects of systemic banking crises in the inter war period abstract this paper examines the time profile of the impact of systemic banking crises on gdp and industrial production using a panel of 24 countries over the inter war period and compares this to the post war experience of these countries we show that banking crises have effects that induce medium term adjustments on economies focussing on an eight year horizon it is clear that the negative effects of systemic banking crises last over the entirety of this time horizon the effect has been identified for gdp and industrial production the adverse effect on the industrial sector stands out as being substantially larger in magnitude relative to the macroeconomic effect comparing the results across long run historical periods for the same selection of countries and variables identifies some differences that stand out the short term macroeconomic impact effects are much larger in the post war period suggesting that the propagation channels of shocks operate at a faster pace in the more recent period moreover the time profile of effects differs suggesting that modern policies may be modulating the temporal shape of the response to banking crises shocks however the broad magnitude of the adverse effect of banking crises remains comparable across these time periods

world supply and demand of food commodity calories between the summers of 2006 and 2008 corn prices more than tripled from roughly 2 50 bushel to nearly 8 00 bushel prices for rice soybeans and wheat rose by similar or greater amounts the exceptionally large and unanticipated rise in prices was attributed to many factors including 1 ethanol subsidies 2 commensurately rising oil prices 3 unexpectedly large demand growth from china and india and 4 weatherrelated factors such as drought in australia while some have argued that the commodity price boom much like earlier housing and stock market booms were due to a

the harrod balassa samuelson hypothesis real exchange rates and their long run equilibrium the harrod balassa samuelson hypothesis frictionless perfectly competitive traded goods markets justify thinking of purchasing power parity ppp as the main driver of exchange rates in the long run but differences in the traded non traded sectors of economies tend to be persistent and affect movements in local price levels in ways that upset the ppp balance the underpinning of the harrod balassa samuelson hypothesis hbs this paper uses panel data techniques on a broad collection of countries to investigate the long run properties of the ppp hbs equilibrium using novel local projection methods for cointegrated systems these semi parametric methods isolate the long run behavior of the data from contaminating factors such as frictions not explicitly modelled and thought to have effects only in the short run absent the short run effects we find that the estimated speed of reversion to long run equilibrium is much higher in addition the hbs effects means that the real exchange rate is converging not to a steady mean but to a slowly to a moving target the common failure to properly model this effect also biases the estimated speed of reversion downwards thus the so called

propagation mechanisms for government spending shocks a bayesian comparison the inability of a simple real business cycle model to predict a rise in consumption in response to increased government expenditures observed in many empirical studies has stimulated the development of alternative theories of government spending shocks using the bayesian approach we evaluate the quantitative performance of five extant models and find that neither of the considered transmission mechanisms for government spending helps improve the fit of the baseline model moreover we find that consumption decreases in all estimated models in response to a rise in government spending

non linear effects of tax changes on output the role of the initial level of taxation this paper estimates the effect of worldwide tax changes on output following the narrative approach developed for the united states by romer and romer 2010 the analysis uses a novel dataset on value added taxes for 51 countries 21 industrial and 30 developing for the period 1970 2014 to identify 96 tax changes it then uses contemporaneous economic records to classify such changes as endogenous or exogenous to current or prospective economic conditions in line with theoretical distortionary and disincentive based arguments and using only exogenous tax changes the main finding is that the effect of tax changes on output is highly non linear the tax multiplier is essentially zero under relatively low moderate initial tax rate levels and more negative as the initial tax rate and the size of the change in the tax rate increase based on a global sample these novel non linear findings suggest that the recent consensus pointing to large negative tax multipliers in industrial countries particularly in europe e g alesina favero and giavazzi 2015 i is not a robust empirical regularity and ii is mainly driven by high initial tax rates in these countries the paper also shows that the bias introduced by misidentification of tax shocks critically depends on the procyclical or countercyclical nature of endogenous tax changes the relevance of the arguments is evaluated both for the novel global sample and for romer and romer s u s dataset

economic costs of alternative monetary policy responses to speculative currency attacks abstract the outcome of a speculative attack on the foreign exchange rate can be classified into three cases i immediate depreciation of the nominal exchange rate ii successful defense or iii failed defense this paper explores which of these outcomes yields the lowest cost in terms of output and unemployment in the short and medium run ex ante the outcome of a speculative attack is uncertain therefore the appropriate response of monetary authorities to a speculative attack depends on the cost of an immediate depreciation compared with that of the expected outcome of a currency defense our empirical analysis focuses on a sample of 73 emerging and developing countries over the 1960 2011 period our results indicate that an immediate depreciation is the policy response that is associated with a lower expected output loss and unemployment in the short run and it tends to be expansionary in the medium run a defense if successful entails insignificant costs in the short run but unlike an immediate depreciation a successful defense is not expansionary in the medium run if a defense fails large output losses and an increase in unemployment ensue at least in the short run

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

local identification in dsge models abstract the issue of identification arises whenever structural models are estimated lack of identification means that the empirical implications of some model parameters are either undetectable or indistinguishable from the implications of other parameters therefore identifiability must be verified prior to estimation this paper provides a simple method for conducting local identification analysis in linearized dsge models estimated in both full and limited information settings in addition to establishing which parameters are locally identified and which are not researchers can determine whether the identification failures are due to data limitations such as lack of observations for some variables or whether they are intrinsic to the structure of the model the methodology is illustrated using a medium scale dsge model

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

dynamic fuel price pass through evidence from a new global retail fuel price database abstract we estimate the dynamic effects of crude oil price shocks on retail fuel prices the pass through using the local projection approach of jorda 2005 using a novel monthly dataset of retail fuel prices in 162 countries over the period from 2000 1 to 2014 12 we find that i retail gasoline prices respond positively to crude oil price shocks but the responses vary across regions and income groups ii there is also some variation across country groups in the persistence of the effects of crude oil price shocks on retail gasoline prices and iii declines in crude oil prices lead to smaller effects on retail gasoline prices than increases in crude oil prices pointing to an asymmetry in the fuel price pass through

identifying supply and demand elasticities of agricultural commodities implications for the us ethanol mandate we present a new framework to identify supply elasticities of storable commodities where past shocks are used as exogenous price shifters in the agricultural context past yield shocks change inventory levels and futures prices of agricultural commodities we use our estimated elasticities to evaluate the impact of the 2009 renewable fuel standard on commodity prices quantities and food consumers surplus for the four basic staples corn rice soybeans and wheat prices increase 20 per cent if one third of commodities used to produce ethanol are recycled as feedstock with a positively skewed 95 percent confidence interval that ranges from 14 to 35 per cent jel q11 q16 q42 q48

oil prices and inflation dynamics evidence from advanced and developing economies abstract we study the impact of fluctuations in global oil prices on domestic inflation using an unbalanced panel of 72 advanced and developing economies over the period from 1970 to 2015 we find that a 10 increase in global oil inflation increases on average domestic inflation by about 0 4 percentage points on impact with the effect vanishing after two years and being similar between advanced and developing economies we also find that the effect is asymmetric with positive oil price shocks having a larger effect than negative ones the impact of oil price shocks however has declined over time due in large part to a more credible monetary policy and less reliance on energy imports we further examine the transmission channels of oil price shocks on domestic inflation during the recent decades by making use of a monthly dataset from 2000 to 2015 the results suggest that the share of transport in the cpi basket and energy subsidies are the most robust factors in explaining cross country variations in the effects of oil price shocks during the period