Structural approaches to vector autoregressions

Vector autoregression

Interpreting Permanent Shocks to Output When Aggregate Demand May Not be Neutral in the Long Run

This paper studies Blanchard and Quah’s (1989) statistical model of permanent and transitory shocks to output using a set of arguably more plausible structural assumptions. Economists typically motivate this statistical model by assuming aggregate demand shocks have no long-run effect on the level of output. Many economic theories are, however, inconsistent with that assumption. We reinterpret this statistical model assuming a positive shock to aggregate supply lowers the price level and in the long run raises output while a positive shock to aggregate demand raises the price level. No assumption is made about the long-run output effect of aggregate demand. Based on these assumptions, we show that a puzzling finding from the empirical literature implies that a positive (negative) aggregate demand shock had a long-run positive (negative) effect on the level of output in a number of pre-World War I economies.vector autoregression, identification restrictions, moving average representations, aggregate demand and supply theory, permanent and transitory shock decomposition

What's so Great about the Great Moderation? A Multi-Country Investigation of Time-Varying Volatilities of Output Growth and Inflation

Changes in volatility of output growth and inflation are examined for eight countries with at least 140 years of uninterrupted data. Time-varying parameter vector autoregressions are used to estimate standard deviations of each variable. Both volatilities rise quickly with World War I and its aftermath, stay relatively high until the end of World War II, and then drop rapidly until the mid- to late 1960s. This Postwar Moderation typically yields the largest decline in output growth volatilities. For all countries, volatilities of both output growth and inflation fall more during this Postwar Moderation than during the Great Moderation, and often the difference is huge. Both volatilities typically reach their lowest levels following the Great Moderation. The Great Moderation often counteracts an increase in volatility that took place in the 1970s, particularly for inflation. In nearly all the countries in our sample, the recent financial crisis has eliminated the stability gains associated with the Great Moderation, and sometimes it has even eroded gains made during the Postwar Moderation. Periods in which a fixed exchange rate system was widespread are associated with relatively low volatilities for both variables. Based on our structural VAR identification, permanent shocks to output account for nearly all of the fluctuations in the volatility of output growth while shocks that have only a temporary effect on output explain most of the fluctuations in inflation volatility. These last two findings suggest that changes in the volatility for each variable are primarily driven by a fundamentally different type of disturbance.The Great Moderation, The Postwar Moderation, stochastic volatility, permanent-transitory shock decompositions, Markov Chain Monte Carlo, structural vector autoregressions.

The Time Varying Effects of Permanent and Transitory Shocks to Real Output

Annual changes in volatility of U.S. real output growth and inflation are documented in data from 1870 to 2009 using a time varying parameter VAR model. Both volatilities rise quickly with World War I and its aftermath, stay relatively high until the end of World War II and drop rapidly until the mid to late-1960s. This Postwar Moderation represents the largest decline in volatilities in our sample, much greater than the Great Moderation that began in the 1980s. Fluctuations in output growth volatility are primarily associated with permanent shocks to output while fluctuations in inflation volatility are primarily accounted for by temporary shocks to output. Conditioning on temporary shocks, inflation and output growth are positively correlated. This finding and the ensuing impulse responses are consistent with an aggregate demand interpretation for the temporary shocks. Our model suggests aggregate demand played a key role in the changes in inflation volatility. Conversely, the two variables are negatively correlated when conditioning on permanent shocks, suggesting that these disturbances are associated primarily with aggregate supply. Our results suggest that aggregate supply played an important role in output volatility fluctuations. Most of the impulse responses support an aggregate supply interpretation of permanent shocks. However, for the pre-World War I period, we find that at longer horizons a permanent increase in output is generally associated with an increase in the price level that is frequently statistically significant. This evidence suggests aggregate demand may have had a long-run positive effect on output during the pre-World War I period.The Great Moderation, stochastic volatility, permanent-transitory decompositions, Markov Chain Monte Carlo, structural vector autoregressions.

Greater Moderations

We decompose a 219 year sample of U.S. real output data into permanent and transitory shocks. We find reductions in volatility of output growth and inflation, starting in the mid 1980s, consistent with the “Great Moderation” noted by many others. More importantly, we find periods of even more substantial reduction in volatilities. Output growth and inflation volatilities fell by 60% and 76%, respectively, from shortly after World War II until the mid 1960s. We label this period the Postwar Moderation. Also, the largest reduction in inflation volatility occurred during the Classical Gold Standard period. Results from our empirical model suggest that aggregate supply shocks account for most of the changes in output growth volatility while aggregate demand shocks account for most of the changes in inflation volatility. The timing of the Postwar Moderation, which began almost immediately after passage of the Employment Act of 1946, suggests that policy played a crucial role in this period’s impressive decline in volatilities.The Great Moderation, stochastic volatility, structural VAR

Toward a Bias Corrected Currency Equivalent Index

Measuring the economic stock of money, defined to be the present value of current and future monetary service flows, is a difficult asset pricing problem, because most monetary assets yield interest. Thus, an interest yielding monetary asset is a joint product: a durable good providing a monetary service flow and a financial asset yielding a return. The currency equivalent index provides an elegant solution, but it does so by making strong assumptions about expectations of future monetary service flows. These assumptions cause the currency equivalent index to exhibit significant downward bias. In this paper, we propose an extension to the currency equivalent index that will correct for a significant amount of this bias.Currency equivalent index, monetary aggregation, money stock

NEEMIS : text of governors presentation of October 6, 1975

Prepared in association with the Alfred P. Sloan School of ManagementThis is the text of a presentation given to the six New England governors on November 7, 1975. The presentation focused on explaining how the New England Energy Management Information System (NEEMIS) has helped the region, what it is, how it will continue to help the region, what unique technology made it possible, what shall be done in the future, and a demonstration of one application

Impact of Strategic Alignment on IT Outsourcing Success in a Complex Service Setting

Improved conceptual and methodological understanding of strategic alignment is essential for better IT outsourcing decisions. This research will investigate how strategically well aligned ITO investments can lead to improved performance and greater competitive advantage. The strategic alignment literature is dominated by a focus on strategy formulation at a single point in time. In contrast, little is known about how strategic alignment is enacted in the choices managers make over time, and in particular, as it applies to IT outsourcing decisions in complex service settings. To address this situation we: (1) develop a novel dynamic alignment model that links espoused and enacted strategies, (2) operationalize strategy as a set of strategic decisions around capabilities, and (3) apply a range of novel methods to measure the decisions managers make

Structural inference with long-run recursive empirical models

This paper investigates conditions under which a long-run recursive model can be used to identify a structure. Economists frequently employ this type of empirical model. I define the class of long-run partially recursive structures. If an economic system is a member of this class, then certain long-run recursive empirical models will obtain some of the structural impulse response functions. This sufficient condition for a structure is first shown in a vector autoregression. A well-known example from the literature is used to illustrate this particular class of structures and to present some useful applications of the result. Then the result is shown in models of cointegrated time series. Necessary conditions for a long-run recursive model to identify structure are addressed in the conclusion