Technology shocks around the world

This article investigates the effects of a permanent technology shock on labor input in the major seven developed countries. The recent empirical literature which uses Structural Vector Autoregressions (SVAR) with long-run restrictions has argued that technology shocks lead to a persistent and significant decline in employment in most of the G7 countries. We claim that the international transmission of shocks prevents the use of existing SVAR models, but also suggests alternative specifications to properly uncover their effects. We show in a quantitative two-country model that a measure of labor productivity aggregated across countries is more immune to persistent, if not permanent, shocks and allows to accurately identify the responses of the labor input to a technology shock. Using labor productivity at the G7 aggregate level, we find that the response of employment changes critically in most of the major seven developed countries.     

Labor Market Dynamics and the Business Cycle: Structural Evidence for the United States*

We use a 12‐dimensional VAR to examine the aggregate effects of two structural technology shocks and two policy shocks. For each shock, we examine the dynamic effects on the labor market, the importance of the shock for labor market volatility, and the comovement between labor market variables and other key aggregate variables in response to the shock. We document that labor market indicators display “hump‐shaped” responses to the identified shocks. Technology shocks and monetary policy shocks are important for labor market volatility but the ranking of their importance is sensitive to the VAR specification. The conditional correlations at business cycle frequencies are similar in response to the four shocks, apart from the correlations between hours worked, labor productivity and real wages. To account for the unconditional correlations between these variables, a mixture of shocks is required.     

Employment responses to aggregate and sectoral technology shocks

This paper investigates the responses of sectoral employment in US manufacturing to a technology shock by its type: aggregate or sectoral. In order to distinguish between aggregate and sectoral shocks, we construct independent VAR models for identifying each shock separately: a factor-augmented vector autoregression (FAVAR) for aggregate shocks and a sectoral SVAR for sectoral shocks. Our aggregate model in particular extends the conventional small-scale VAR to the FAVAR framework of Bernanke et al. (2005) so that it can address the potential bias from omitted variables. The main findings are as follows: most industries exhibit negative employment responses to an aggregate technology shock while exhibiting positive responses to a sectoral technology shock. By comparing our FAVAR framework with Chang and Hong’s (2006) small-scale VAR, we show that applying the FAVAR results in significant differences in the estimated responses to an aggregate technology shock. Real rigidities (such as slow diffusion of new technology or frictional labor reallocation), rather than nominal rigidities (such as sticky prices), are crucial in accounting for the cross-industry difference in employment responses. In particular, the slow diffusion of new technology is closely related to the sluggish response of sectoral employment.     

SHOULD WE CARE ABOUT THE COMPOSITION OF TAX‐BASED STIMULUS PACKAGES?

We investigate the effects of tax policy shocks on the U.S. economy over the 1972:3–2008:4 period within a structural vector autoregressive (SVAR) framework. Disaggregating tax shocks suggests that the positive output multipliers documented for total taxes by the previous literature are present only for indirect tax innovations. We also show that both labor and corporate taxes have similar effects on output, with labor tax multipliers being slightly larger in magnitude. The positive and negative responses of inflation following respectively corporate and labor tax shocks imply that former shocks work through aggregate supply, whereas the latter work predominantly through aggregate demand. (JEL C32, E62, H20)     

The sovereign spread in Asian emerging economies: The significance of external versus internal factors

This paper investigates the dynamic relations between external factors, domestic macroeconomic factors with sovereign spreads, debt to GDP ratio, etc. in Asian emerging countries. First, we develop a theoretical model that determines the equilibrium debt level, probability of default and sovereign spread and draw empirical implications. We then employ a Structural Vector Autoregression (SVAR) model to investigate empirically how the spread of sovereign debt is influenced over time by both external and domestic factors. The empirical results show that variations in sovereign spreads are mainly driven by external shocks, with the term structure of US interest rate and the global risk aversion having the most important role. The findings also indicate that shocks from the US have a direct effect on sovereign spread and an indirect effect via domestic macroeconomic fundamentals. Finally, the evidence produced validates the presence of some response patterns of sovereign spread to the external shocks.     

Can Habit Formation Be Reconciled with Business Cycle Facts?

Many asset pricing puzzles can be explained when habit formation is added to standard preferences. We show that utility functions with a habit then gives rise to a puzzle of consumption volatility in place of the asset pricing puzzles when agents can choose consumption and labor optimally in response to more fundamental shocks. We show that the consumption reaction to technology shocks is too small by an order of magnitude when a utility includes a consumption habit. Moreover, once a habit in leisure is included, labor input is counterfactually smooth over the cycle. In the case of habits in both consumption and leisure, labor input is even countercyclical. Consumption continues to be too smooth. Journal of Economic Literature Classification Numbers: E13, E21, E32.     

Real options or disaster risk? Distinguishing uncertainty effects on investment

ABSTRACT

Motivated by the fact that uncertainty shocks are a countercyclical phenomenon, this article takes a deeper look at the nature of uncertainty shocks in times of crisis and its effect on the real economy. We distinguish between volatility and disaster risk shocks and specify the consequences of these shock specifications on investment decisions. We first analyse the different impact of both shocks within a real options framework. Our theoretical results show that the effects of the two shocks are different, especially concerning disinvestment and the mid-term investment response. Second, we perform structural vector autoregression (SVAR) estimations on different country data sets. The SVAR estimations confirm our theoretical hypothesis: countries more prone to states of disaster do not show the usual real option pattern of investment to an uncertainty shock.     

Foreign official purchases of U.S. treasuries and mortgage rates

This paper investigates the effects of foreign official purchases of U.S. treasuries on mortgage rates from January 1985 to June 2007 using a proxy structural vector autoregression (SVAR) model, where shocks to foreign official inflows to treasuries are identified by their correlation with foreign exchange interventions. Although mortgage rates significantly decrease in response to positive shocks to foreign official purchases of U.S. treasuries, these shocks only explain a small fraction of the variation in the U.S. mortgage rate.     

Structural correlation decompositions for business cycle analysis

This note demonstrates a decomposition of correlations into contributions of structural shocks. The method is useful for analysis of complex models that can be expressed as linear state-space models, e.g., DSGE, SVAR or dynamic factor models.     

Korean inflation during the US military administration of 1945-1948: a further analysis

This paper investigates the dynamic process of Korean inflation under the US military administration using a structural vector autoregression (SVAR) incorporating cointegration relations among the variables. The results show that government expenditure shocks are primarily responsible for price movements together with money demand shocks having noticeable short-run impacts. The study also shows that government expenditure shocks are the most important source of fluctuations in each of the other variables investigated. The paper concludes that a reform of fiscal and monetary system is necessary to stop the sustaining process of inflation as well as fluctuations in other macro-variables.     

A business cycle model with variable capacity utilization and demand disturbances

We develop a dynamic general-equilibrium model with demand (preference) shocks, estimated using Hall's (J. Labour Economics 15 (1997) 223) residual, that replicates U.S. business cycles well, at least compared to the real business cycle models. The key factor is cyclical capital utilization, which is based on imperfect competition, slow adjustments in capital stock, and fixed requirement of labor input. We also demonstrate theoretically that a representative-agent economy with preference shocks could be viewed as the reduced form of a heterogeneous-agents economy with incomplete markets. Specifically, a heterogeneous-agents economy with incomplete markets is aggregated into a representative-agent economy with preference shocks. This result would provide a microeconomic foundation for preference shock models. It is also shown that a shock to marginal utility of consumption and a shock to marginal disutility of labor have different effects.     

我国供给和需求冲击的区域差异效应研究——基于结构VAR的分析

本文根据Blanchard and Quah发展的结构VAR技术,将影响中国沿海和内陆地区实际GDP与通货膨胀率的冲击分解为供给和需求冲击。估算结果发现,沿海和内陆地区供给冲击的同步性较高但呈下降趋势,需求冲击的同步性弱于供给冲击,不过呈提高趋势,但由于区域协调而降低了其短期内的同步性。根据累积脉冲响应函数和预测误差方差分解结果,实际GDP和价格水平波动的绝大部分分别来自于供给和需求冲击,需求层面的区域协调对缩小区域差距无济于事,反而引致内陆地区的价格波动。各地区对供给和需求冲击反应的差异,使得在宏观调控和区域协调方面产生效率和区域平等、需求管理型宏观政策有效性和区域平等的两难困境。破解之道在于从影响区域反应差异的因素入手,提高内陆地区实际产出对内陆地区正向供给、需求冲击的反应强度和降低沿海需求冲击对内陆地区的负效应。     

HOW IMPORTANT ARE TERMS‐OF‐TRADE SHOCKS?

According to conventional wisdom, terms‐of‐trade shocks represent a major source of business cycles in emerging and poor countries. This view is largely based on the analysis of calibrated business‐cycle models. We argue that the view that emerges from empirical structural vector autoregression (SVAR) models is strikingly different. We estimate country‐specific SVARs using data from 38 countries and find that terms‐of‐trade shocks explain less than 10% of movements in aggregate activity. We then estimate key structural parameters of a three‐sector business‐cycle model country by country and find a disconnect between the importance assigned to terms‐of‐trade shocks by theoretical and SVAR models.     

Macroeconomic shocks and stock market returns: the case of Korea

This study examines the effects of macroeconomic shocks on key macro variables, including stock market returns in Korea, using the structural vector autoregression (SVAR) model. We suggest a three-variable SVAR model incorporating inflation, output growth and stock returns. We adopt a nonzero z-ratio restriction for the long-run identifying assumption to allow for economically meaningful relationships among variables. While our results support the negative (positive) relation of demand (supply) shocks to stock returns, we also find that demand shocks influence stock market variance more significantly than supply shocks do. The sub-period analysis finds that global market fluctuations during the global financial crisis have relatively little effect on Korean stock market performance. We also examine a generalized five-variable model that includes the foreign exchange rate and interest rate, confirming the results from the three-variable case.     

Non-Traded Goods and Real Exchange Rate Fluctuations: A Structural VAR Analysis

Real exchange rate variance decompositions indicate that only a small fraction of real exchange rate movements can be attributed to changes in the relative price between traded and non-traded goods. This paper argues that those exercises, by ignoring the nature of the shocks behind real exchange rate changes, may be inadequate to measure the relative importance of non-traded goods prices. Instead, it proposes using a structural vector autoregression (SVAR) model to study the effects of shocks to the relative supply and relative demand for non-traded goods on the real exchange rate. The SVAR model is identified via long-run restrictions and is estimated for a group of advanced economies. The results indicate that for some countries, relative supply shocks can be a significant source of real exchange rate fluctuations.     

Observed expectations,news shocks,and the business cycle

This paper exploits information from the term structure of survey expectations to identify news shocks in a DSGE model with rational expectations.We estimate a structural business-cycle model with price and wage stickiness. We allow for both unanticipated and anticipated components (“news”) in each structural disturbance: neutral and investment-specific technology shocks, government spending shocks, risk premium, price and wage markup shocks, and monetary policy shocks.We show that the estimation of a standard DSGE model with realized data obfuscates the identification of news shocks and yields weakly or non-identified parameters pertaining to such shocks. The identification of news shocks greatly improves when we re-estimate the model using data on observed expectations regarding future output, consumption, investment, government spending, inflation, and interest rates - at horizons ranging from one-period to five-periods ahead.The news series thus obtained largely differ from their counterparts that are estimated using only data on realized variables. Moreover, the results suggest that the identified news shocks explain a sizable portion of aggregate fluctuations. News about investment-specific technology and risk premium shocks play the largest role, followed by news about labor supply (wage markup) and monetary policy.     

Real business cycles, sticky wages or sticky prices? The impact of technology shocks on US manufacturing

In this paper, we examine empirically the predictions of a range of theoretical models which give a prominent role to technology shocks in explaining business cycles. To this end, we estimate (4-digit SIC) industry-level VAR models for US manufacturing using real output, the real wage and utilization corrected measures of technology and labor input. Our results support both sticky-wage DGE and RBC models over sticky-price DGE models. Moreover, they cast some doubt on the importance of technology shocks as propulsive mechanism for business cycles at the industry level.     

Sources of business fluctuations: Financial or technology shocks?

Despite the widespread belief that technology shocks are the main source of business fluctuations, recent empirical studies indicate that in the absence of financial frictions, a shock to the marginal efficiency of investment is the main source and is closely related to financial conditions for investment. We incorporate a financial accelerator mechanism and two types of financial shocks to the external finance premium and net worth in a dynamic stochastic general equilibrium model with shocks to the marginal efficiency of investment, the investment-good price markup, and the rates of neutral and investment-specific technological changes. This model is estimated using eleven US time series that include data on loan, net worth, the loan rate, and the relative price of investment. Our estimation results show that the (non-stationary) neutral and investment-specific technology shocks primarily drive output and investment fluctuations, while the external finance premium shock plays an important role for investment fluctuations. This financial shock induced substantial falls and subsequent sharp hikes in the external finance premium and caused boom–bust cycles over the past two decades.     

Sectoral and Aggregate Technology Shocks:Is There a Relationship?

We analyze sector-specific shocks in productivity and demand in 19 manufacturing sectors of the Austrian economy. Based on a structural vector autoregressive model (SVAR) with long-run restrictions developed by Galí (1999) we extract technology and non-technology shocks from sectoral and aggregate data. We study their patterns and relationship by means of a principal components analysis and find a close association of sectoral and macroeconomic non-technology shocks but only a very weak association for technology shocks. Impulse response analysis indicates that for almost all manufacturing sectors as well as the aggregate Austrian economy productivity growth rates experience an immediate increase due to positive technology shocks while hours worked decline. Thereby we confirm Galís results on the level of Austrian manufacturing industries. From regression analysis, we find that our shocks are closely associated to employment growth and output growth but not to investment growth and that the reaction is different for the aggregate economy and manufacturing industries.JEL codes: D24, E23, E32, O30We thank Werner Müller and the participants of the 2004 conference of the Austrian Economic Association (NOeG) for helpful comments. We would like to thank an anonymous referee for many helpful comments that led to a substantial improvement of the paper. The usual disclaimer applies. This research project was supported by a research Grant (Project Nr. 9800) of the Jubiläumsfonds der Österreichische Nationalbank (OeNB).     

供求冲击与中国的产业波动

甄别供给与需求冲击在我国各次产业波动中的地位和作用,是有效制定宏观管理政策,特别是产业政策的重要前提条件.本文借鉴修正后的两变量SVAR模型对我国各次产业波动中的供求冲击进行了分析.蛄果发现,供给冲击比需求冲击在我国各次产业产出波动的形成中发挥着更为重要的作用,这在第二产业中体现得最为明显,其次是第三产业,最后是第一产业;在第一产业中,供给冲击对价格水平波动的影响更大,而在第二、第三产业中,需求冲击比供给冲击具有更高的相对方差贡献率.