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

states and the business cycle abstract we model the us business cycle using a dynamic factor model that identifies common factors underlying fluctuations in state level income and employment growth we find three such common factors each of which is associated with a set of factor loadings that indicate the extent to which each state s economy is related to the national business cycle according to the factor loadings there is a great deal of heterogeneity in the nature of the links between state and national economies in addition to exhibiting geographic patterns the closeness of state economies to the national business cycle is related not only to differences in industry mix but also to non industry variables such as agglomeration and neighbor effects finally we find that the common factors tend to explain large proportions of the total variability in state level business cycles although again there is a great deal of cross state heterogeneity

network models and financial stability abstract systemic risk is a key concern for central banks charged with safeguarding overall financial stability in this paper we investigate how systemic risk is affected by the structure of the financial system we construct banking systems that are composed of a number of banks that are connected by interbank linkages we then vary the key parameters that define the structure of the financial system including its level of capitalisation the degree to which banks are connected the size of interbank exposures and the degree of concentration of the system and analyse the influence of these parameters on the likelihood of knock on defaults first we find that the better capitalised banks are the more resilient is the banking system against contagious defaults and this effect is non linear second the effect of the degree of connectivity is non monotonic i e initially a small increase in connectivity increases the contagion effect but after a certain threshold value connectivity improves the ability of a banking system to absorb shocks third the size of interbank liabilities tends to increase the risk of knock on default even if banks hold capital against such exposures fourth more concentrated banking systems are shown to be prone to larger systemic risk all else equal in an extension to the main analysis we study how liquidity effects interact with banking structure to produce a greater chance of systemic breakdown we finally consider how the risk of contagion might depend on the degree of asymmetry tiering inherent in the structure of the banking system a number of our results have important implications for public policy which this paper also draws out

sulfur dioxide control by electric utilities what are the gains from trade title iv of the 1990 clean air act amendments caaa established a market for transferable sulfur dioxide so2 emission allowances among electric utilities this market offers firms facing high marginal abatement costs the opportunity to purchase the right to emit so2 from firms with lower costs and this is expected to yield cost savings compared to a command and control approach to environmental regulation this paper uses econometrically estimated marginal abatement cost functions for power plants affected by title iv of the caaa to evaluate the performance of the so2 allowance market specifically we investigate whether the much heralded fall in the cost of abating so2 compared to original estimates can be attributed to allowance trading we demonstrate that for plants that use low sulfur coal to reduce so2 emissions technical change and the fall in prices of low sulfur coal have lowered marginal abatement cost curves by over 50 percent since 1985 the flexibility to take advantage of these chan

the propagation of regional recessions this paper develops a framework for inferring common markov switching components in a panel data set with large cross section and time series dimensions we apply the framework to studying similarities and dierences across u s states in the timing of business cycles we hypothesize that there exists a small number of cluster designations with individual states in a given cluster sharing certain business cycle characteristics we nd that although oil producing and agricultural states can sometimes experience a separate recession from the rest of the united states for the most part dierences across states appear to be a matter of timing with some states entering recession or recovering before others jel c11 c32 e32

common trends and common cycles the existence of a serial correlation common feature among the first differences of a set of i 1 variables implies the existence of a common cycle in the beveridge nelson stock watson decomposition of those variables a test for the existence of common cycles among cointegrated variables is developed the test is used to examine the validity of the common trend common cycle structure implied by flavin s excess sensitivity hypothesis and campbell and mankiw s mixture of rational expectations and rule of thumb hypothesis for consumption and income linear independence between the cointegration and the cofeature vectors is exploited to decompose consumption and income into their trend and cycle components copyright 1993 by john wiley sons ltd

estimating the impact of rural investments in nepal abstract as a largely rural society most people in nepal still depend upon agriculture as their major livelihood strategy therefore it is important to improve the allocation efficiency of limited public expenditures to promote agricultural growth and poverty reduction however evaluating the returns of public investment is limited by methodological challenges we use hedonic and panel data methods to examine the returns to different types of rural public investments including roads irrigation and extension advice the use of diverse identification strategies reduces the risk of using a narrower set of results driven primarily by a particular methodology we find that rural roads and irrigation are one of the most productive public expenditures according to the benefit cost ratio calculations though the magnitudes of these ratios depend on methodology

oil shocks and financial systemic stress international evidence abstract by conducting a structural var analysis on the financial systemic stress in 20 countries this paper provides international evidence that oil structural shocks impact not only stress in individual financial markets but also their connectedness the oil structural shocks explain a large fraction of the variation in the connectedness among various financial markets the effect of oil structural shocks on financial systemic stress is largely dependent on the origins of oil price changes and a country s net oil export position in most oil importing economies financial systemic stress is negatively impacted by supply and aggregate demand shocks and positively impacted by oil market specific demand shocks opposite patterns are detected in oil exporting economies the effects of the spillovers are asymmetrically related with market conditions during normal periods more risks are spilled over from the oil market to financial systems but during financial crises the opposite occurs in periods of financial crises and oil price collapses there is noticeable contagion between the oil market and financial systems

estimating bilateral exposures in the german interbank market is there a danger of contagion abstract credit risk associated with interbank lending may lead to domino effects where the failure of one bank results in the failure of other banks not directly affected by the initial shock recent work in economic theory shows that this risk of contagion depends on the precise pattern of interbank linkages we use balance sheet information to estimate a matrix of bilateral credit relationships for the german banking system and test whether the breakdown of a single bank can lead to contagion we find that in the absence of a safety net there is considerable scope for contagion that could affect a large proportion of the banking system the financial safety net in this case institutional guarantees for saving banks and cooperative banks considerably reduces but does not eliminate the danger of contagion even so the failure of a single bank could lead to the breakdown of up to 15 of the banking system in terms of assets

monopolistic competition as a foundation for keynesian macroeconomic models a general equilibrium macroeconomic model based on monopolistic competition is presented the model exhibits a traditional multiplier in the short run but due to free entry the multiplier disappears in the long run by construction all agents are fully rational the keynesian results are a consequence of the assumption of monopolistic competition which creates a divergence between optimal private behavior and optimal social behavior

when micro prudence increases macro risk the destabilizing effects of financial innovation leverage and diversification by exploiting basic common practice accounting and risk management rules we propose a simple analytical dynamical model to investigate the effects of microprudential changes on macroprudential outcomes specifically we study the consequence of the introduction of a financial innovation that allows reducing the cost of portfolio diversification in a financial system populated by financial institutions having capital requirements in the form of value at risk var constraint and following standard mark to market and risk management rules we provide a full analytical quantification of the multivariate feedback effects between investment prices and bank behavior induced by portfolio rebalancing in presence of asset illiquidity and show how changes in the constraints of the bank portfolio optimization endogenously drive the dynamics of the balance sheet aggregate of financial institutions and thereby the availability of bank liquidity to the economic system and systemic risk the model shows that when fin

complementarities and comovements short run interindustry comovement may be due either to common shocks or to complementarities that progagate shocks across sectors this paper assesses the importance of input output linkages aggregate activity spillovers and local activity spillovers to comovement in postwar u s manufacturing i find that input output linkages and local activity spillovers are important to comovement while aggregate activity spillovers are not important i find that complementarities are important to aggregate volatility even after i remove observable aggregate shocks from the data local spillovers are particularly important explaining between 15 and 36 percent of manufacturing employment volatility the importance of local spillovers stems from the fact that industries that cluster together in space also comove through time contrary to the marshallian idea that industries with negatively correlated fluctuations should cluster together in order to stabilize local demand

employment fluctuations in u s regions and industries the roles of national region specific and industry specific shocks this study quantifies the roles of national region specific and industry specific shocks in aggregate employment fluctuations in u s regions and industries variation among the growth rates of major regions and industries is decomposed into unobserved national region and industry specific components the results reject the view that any heterogeneity in regional fluctuations is attributable to differences in industry composition after controlling for industry mix effects roughly 40 of the variance of the cyclical innovation in any region s growth rate is particular to that region in addition region specific shocks appear to propagate across regions over time

stability of the world trade web over time an extinction analysis abstract the world trade web wtw is a weighted network whose nodes correspond to countries while edge weights reflecting the value of imports and or exports between countries in this paper we introduce to this macroeconomic system the notion of extinction analysis a technique often used in the analysis of ecosystems for the purpose of investigating the robustness of this network in particular we subject the wtw to a principled set of in silico knockout experiments akin to those carried out in the investigation of food webs but suitably adapted to this macroeconomic network informed by results in network theory as well as studies of contagion in economic networks we seek to understand the role of connectance in the robustness of the system we interpret increasing connectance as one aspect of a move towards globalization and liberalized trade policy broadly our experiments confirm two conjectures first that the wtws are robust yet fragile networks robust to random failures but fragile under targeted attack second that growing connectance has both positive and negative impacts on robustness more specifically we find that increasing connectance corresponds to increasing robustness for small shocks but to decreasing robustness in the face of large cascading shocks up to the system this yields evidence in support of the view that globalization as witnessed by increasing connectance increases the ability of a system to absorb shock up until a certain size whereupon the shock overwhelms the system and sparks a broader contagion we anticipate that experiments and measures like these can play an important role in the evaluation of the stability of economic systems

a network analysis of the italian overnight money market the objective of this paper is to analyse the network topology of the italian segment of the european overnight money market through methods of statistical mechanics applied to complex networks we investigate differences in the activities of banks of different sizes and the evolution of their connectivity structure over the maintenance period the main purpose of the analysis is to establish the potential implications of the current institutional arrangements on the stability of the banking system and to assess the efficiency of the interbank market in terms of absence of speculative and preferential trading relationships

sources of fluctuations in the boston economy abstract vector autoregression models are constructed in an attempt to isolate structural disturbances which may have had an influence on aggregate or sectoral fluctuations in the boston economy the alleged role of defense spending in the massachusetts miracle appears to be slight except for some particular sectors the upturn appears to have been created by non defense technology shocks and the subsequent downturn by factors idiosyncratic to the boston economy and external demand shocks

household level effects of electricity on income abstract this paper studies the effect of electricity on income using the nepal living standards survey iii nlssiii carried out in the years 2010 11 to account for endogeneity issues we use a two stage probit least squares 2spls model we find that causality runs both ways that is income explains whether a household is connected to electricity but also a household being connected to electricity has a very large and significant effect on income

overlapping portfolios contagion and financial stability abstract we study the problem of interacting channels of contagion in financial networks the first channel of contagion is counterparty failure risk this is captured empirically using data for the austrian interbank network the second channel of contagion is overlapping portfolio exposures this is studied using a stylized model we perform stress tests according to different protocols for the parameters we study neither channel of contagion results in large effects on its own in contrast when both channels are active at once bankruptcies are much more common and have large systemic effects

stability analysis of financial contagion due to overlapping portfolios abstract common asset holdings are widely believed to have been the primary vector of contagion in the recent financial crisis we develop a network approach to the amplification of financial contagion due to the combination of overlapping portfolios and leverage and we show how it can be understood in terms of a generalized branching process this can be used to compute the stability for any particular configuration of portfolios by studying a stylized model we estimate the circumstances under which systemic instabilities are likely to occur as a function of parameters such as leverage market crowding diversification and market impact although diversification may be good for individual institutions it can create dangerous systemic effects and as a result financial contagion gets worse with too much diversification there is a critical threshold for leverage below it financial networks are always stable and above it the unstable region grows as leverage increases note that our model assumes passive portfolio management during a crisis however we show that dynamic deleveraging during a crisis can amplify instabilities the financial system exhibits robust yet fragile behavior with regions of the parameter space where contagion is rare but catastrophic whenever it occurs our model and methods of analysis can be calibrated to real data and provide simple yet powerful tools for macroprudential stress testing

the effect of the interbank network structure on contagion and common shocks abstract this paper proposes a dynamic multi agent model of a banking system with central bank banks optimize a portfolio of risky investments and riskless excess reserves according to their risk return and liquidity preferences they are linked via interbank loans and face stochastic deposit supply comparing different interbank network structures it is shown that money centre networks are more stable than random networks evidence is provided that the central bank stabilizes interbank markets in the short run only systemic risk via contagion is compared with common shocks and it is shown that both forms of systemic risk require different optimal policy responses

the impact of agricultural extension and roads on poverty and consumption growth in fifteen ethiopian villages this article investigates whether public investments that led to improvements in road quality and increased access to agricultural extension services led to faster consumption growth and lower rates of poverty in rural ethiopia estimating an instrumental variables model using generalized methods of moments and controlling for household fixed effects we find evidence of positive impacts with meaningful magnitudes receiving at least one extension visit reduces headcount poverty by 9 8 percentage points and increases consumption growth by 7 1 percentage points access to all weather roads reduces poverty by 6 9 percentage points and increases consumption growth by 16 3 percentage points these results are robust to changes in model specification and estimation methods

the role of international factors in the business cycle a multi country study abstract empirical research has been conducted on the various theories of the business cycle over many countries however very little research has attempted to undertake a multi country disaggregate investigation into the sources of output change this paper decomposes fluctuations in industry output in a particular country into 1 a nation specific shock 2 an industry specific shock 3 a common shock and 4 an idiosyncratic factor using a dynamic factor analysis state space approach the paper finds that the industry specific impulse explains a significant but small part of the variance of the forecast error this provides limited support for the disaggregated real business cycle paradigm

basel iii capital surcharges for g sibs are far less effective in managing systemic risk in comparison to network based systemic risk dependent financial transaction taxes in addition to constraining bilateral exposures of financial institutions there exist essentially two options for future financial regulation of systemic risk first regulation could attempt to reduce the financial fragility of global or domestic systemically important financial institutions g sibs or d sibs as for instance proposed by basel iii second it could focus on strengthening the financial system as a whole by reducing the probability of large scale cascading events this can be achieved by re shaping the topology of financial networks we use an agent based model of a financial system and the real economy to study and compare the consequences of these two options by conducting three computer experiments with the agent based model we find that re shaping financial networks is more effective and efficient than reducing financial fragility capital surcharges for g sibs could reduce systemic risk but they would have to be substantially larger than those specified in the current basel iii proposal in order to have a measurable impact this would cause a loss of efficiency

measuring network systemic risk contributions a leave one out approach abstract the aim of this paper is to propose a new network measure of systemic risk contributions that combines the pair wise granger causality approach with the leave one out concept this measure is based on a conditional granger causality test and consists of measuring how far the proportion of statistically significant connections in the system breaks down when a given financial institution is excluded we analyse the performance of our measure of systemic risk by considering a sample of the largest banks worldwide over the 2003 2018 period we obtain three important results first we show that our measure is able to identify a large number of banks classified as global systemically important banks g sibs by the financial stability board fsb second we find that our measure is a robust and statistically significant early warning indicator of downside returns during the last financial crisis finally we investigate the potential determinants of our measure of systemic risk and find similar results to the existing literature in particular our empirical results suggest that the size and the business model of banks are significant drivers of systemic risk

what is the minimal systemic risk in financial exposure networks abstract we quantify how much systemic risk can be eliminated in financial contract networks by rearranging their network topology by using mixed integer linear programming financial linkages are optimally organized whereas the overall economic conditions of banks such as capital buffers total interbank assets and liabilities and average risk weighted exposure remain unchanged we apply the new optimization procedure to 10 snapshots of the austrian interbank market where we focus on the largest 70 banks covering 71 of the market volume the optimization reduces systemic risk measured in debtrank by about 70 showing the huge potential that changing the network structure has on the mitigation of financial contagion existing capital levels would need to be scaled up by a factor of 3 3 to obtain similar levels of debtrank these findings underline the importance of macro prudential rules that focus on the structure of financial networks the new optimization procedure allows us to benchmark actual networks to networks with minimal systemic risk we find that simple topological measures like link density degree assortativity or clustering coefficient fail to explain the large differences in systemic risk between actual and optimal networks we find that if the most systemically relevant banks are tightly connected overall systemic risk is higher than if they are unconnected

how strong is co movement in employment over the business cycle evidence from state sector data abstract this study measures the extent of co movement in employment across states and sectors at business cycle frequencies the strength of co movement is quantified using the cohesion measure developed by croux forni and reichlin rev econ statist 83 2001 232 the data indicate that cohesion is generally positive for the state sector pairs although the distributions mass around relatively low values the results suggest that cohesion has risen over time and that cohesion increases with spatial aggregation evidence reveals that the measured degree of co movement is sensitive to the chosen periodicity of the data and that there is much greater cohesion across states for a given sector than across different sectors within a state an investigation into the sources of cross state variation in cohesion reveals that important determinants include the share of state employment in manufacturing the different effects of monetary policy actions on each state s employment and the degree of sectoral diversity within a state

sectoral shocks and metropolitan employment growth abstract in this paper we study the sources of industry employment growth in each of five metropolitan statistical areas msas the objective is to understand the relative importance of aggregate disturbances versus local sectoral shocks in generating observed employment fluctuations at the msa level the empirical evidence presented in this paper derives from structural vector autoregressions svars estimated for each of the five msas estimations use monthly employment data covering nine one digit industrial categories for the period 1951 1 1999 8 as well as two variables that capture the influences of aggregate i e national shocks on msas we find that within msa industry shocks explain considerably more of the forecast error variance in industry employment growth than do aggregate shocks sectoral shocks account for between 87 and 94 of the 36 month ahead forecast error variance among individual local sectors shocks to msa specific government manufacturing and service sector employment growth are the predominate sources of variability

inventories and the propagation of sectoral shocks this paper contrasts the dynamic properties of an imperfectly competitive economy with a representative agent real business cycle model for both economies inventories are the important dynamic linkage the predictions of these models with regards to the comovement of employment across sectors may differ empirical evidence on the comovement of employment over the business cycle is consistent with the model of imperfect competition with inventory holdings copyright 1990 by american economic association

geographic poverty traps a micro model of consumption growth in rural china how important are neighbourhood endowments of physical and human capital in explaining diverging fortunes over time for otherwise identical households in a developing rural economy to answer this question we develop an estimable micro model of consumption growth allowing for constraints on factor mobility and externalities whereby geographic capital can influence the productivity of a household s own capital our statistical test has considerable power in detecting geographic effects given that we control for latent heterogeneity in measured consumption growth rates at the micro level we find robust evidence of geographic poverty traps in farm household panel data from post reform rural china our results strengthen the equity and efficiency case for public investment in lagging poor areas in this setting copyright 2002 john wiley sons ltd

the sources of sectoral fluctuations in metropolitan areas abstract employment growth rates for 25 industries in the philadelphia metropolitan area are decomposed into national industry metropolitan and idiosyncratic sources which are estimated from a semistructural vector autoregression the standard shift share model is shown to be a restricted version of this constructed system and that these restrictions are not in fact met for nearly all industries the idiosyncratic shock is found to account for most of the variation in growth rates

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

real business cycles in this paper we demonstrate how certain very ordinary economic principles lead maximizing individuals to choose consumption production plans that display many of the characteristics commonly associated with business cycles our explanation is entirely consistent with i rational expectations ii complete current information iii stable preferences iv no technological change v no long lived commodities vi no frictions or adjustment costs vii no government viii no money and ix no serial dependence in the stochastic elements of the environment we also provide a completely worked out example of the type of artificial economy we have in mind the time series properties of the example exhibit some major features of observed business cycles although this type of model may not be capable of explaining all of the regularities in actual business cycles we believe that it provides a useful well defined benchmark for assessing the relative importance of factors e g monetary disturbances

regional income dynamics abstract this paper uses time series techniques to explore interregional links in regional per capita income growth the study examines annual data for the period 1929 to 1990 for the eight bureau of economic analysis bea regions impulse response functions and variance decompositions from an estimated structural vector autoregression reveal that important and highly persistent interregional spillovers exist moreover these spillovers tend to be geographically dispersed

variation in employment growth in canada the role of external national regional and industrial factors this article investigates the effect of external national and sectoral shocks on canadian employment fluctuations at the national industrial and provincial levels we assume that employment growth in each industry province pair depends on u s growth lagged canadian growth at the national industrial and provincial levels an aggregate shock and shocks specific to each industry province and industry province pair we estimate that the u s and canadian shocks account for two thirds and a quarter respectively of aggregate variation sectoral shocks account for only one tenth of aggregate variation but represent 30 of the variation from canadian sources