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Languages : en
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Author: Yang Su Park
Publisher:
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Category :
Languages : en
Pages : 176
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Author: Philip A. Klein
Publisher: Routledge
ISBN: 131549227X
Category : Business & Economics
Languages : en
Pages : 253
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This "Festschrift" honours Geoffrey H. Moore's life-long contribution to the study of business cycles. After some analysts had concluded that business cycles were dead, renewed economic turbulence in the 1970s and 1980s brought new life to the subject. The study of business cycles now encompasses the global economic system, and this work aims to push back the frontiers of knowledge.
Author: Hammad Qureshi
Publisher:
ISBN:
Category : Autoregression (Statistics)
Languages : en
Pages : 97
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Abstract: This dissertation examines theoretical and empirical topics in macroeconomic dynamics. A central issue in macroeconomic dynamics is understanding the sources of business cycle fluctuations. The idea that expectations about future economic fundamentals can drive business cycles dates back to the early twentieth century. However, the standard real business cycle (RBC) model fails to generate positive comovement in output, consumption, labor-hours and investment in response to news shocks. My dissertation proposes a solution to this puzzling feature of the RBC model by developing a theoretical model that can generate positive aggregate and sectoral comovement in response to news shocks. Another key issue in macroeconomic dynamics is gauging the performance of theoretical models by comparing them to empirical models. Some of the most widely used empirical models in macroeconomics are level vector autoregressive (VAR) models. However, estimated level VAR models may contain explosive roots, which is at odds with the widespread consensus among macroeconomists that roots are at most unity. My dissertation investigates the frequency of explosive roots in estimated level VAR models using Monte Carlo simulations. Additionally, it proposes a way to mitigate explosive roots. Finally, as macroeconomic datasets are relatively short, empirical models such as autoregressive models (i.e. AR or VAR models) may have substantial small-sample bias. My dissertation develops a procedure that numerically corrects the bias in the roots of AR models. This dissertation consists of three essays. The first essay develops a model based on learning-by-doing (LBD) that can generate positive comovement in output, consumption, labor-hours and investment in response to news shocks. I show that the one-sector RBC model augmented by LBD can generate aggregate comovement in response to news shock about technology. Furthermore, I show that in the two-sector RBC model, LBD along with an intratemporal adjustment cost can generate sectoral comovement in response to news about three types of shocks: i) neutral technology shocks, ii) consumption technology shocks, and iii) investment technology shocks. I show that these results hold for contemporaneous technology shocks and for different specifications of LBD. The second essay investigates the frequency of explosive roots in estimated level VAR models in the presence of stationary and nonstationary variables. Monte Carlo simulations based on datasets from the macroeconomic literature reveal that the frequency of explosive roots exceeds 40% in the presence of unit roots. Even when all the variables are stationary, the frequency of explosive roots is substantial. Furthermore, explosion increases significantly, to as much as 100% when the estimated level VAR coefficients are corrected for small-sample bias. These results suggest that researchers estimating level VAR models on macroeconomic datasets encounter explosive roots, a phenomenon that is contrary to common macroeconomic belief, with a very high frequency. Monte Carlo simulations reveal that imposing unit roots in the estimation can substantially reduce the frequency of explosion. Hence one way to mitigate explosive roots is to estimate vector error correction models. The third essay proposes a numerical procedure to correct the small-sample bias in autoregressive roots of univariate AR(p) models. I examine the median-bias properties and variability of the bias-adjusted parameters relative to the least-squares estimates. I show that the bias correction procedure substantially reduces the median-bias in impulse response functions. Furthermore, correcting the bias in roots significantly improves the median-bias in half-life, quarter-life and up-life estimates. The procedure pays a negligible-to-small price in terms of increased standard deviation for its improved median-bias properties.
Author: Francis X. Diebold
Publisher: Princeton University Press
ISBN: 0691219583
Category : Business & Economics
Languages : en
Pages : 438
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This is the most sophisticated and up-to-date econometric analysis of business cycles now available. Francis Diebold and Glenn Rudebusch have long been acknowledged as leading experts on business cycles. And here they present a highly integrative collection of their most important essays on the subject, along with a detailed introduction that draws together the book's principal themes and findings. Diebold and Rudebusch use the latest quantitative methods to address five principal questions about the measurement, modeling, and forecasting of business cycles. They ask whether business cycles have become more moderate in the postwar period, concluding that recessions have, in fact, been shorter and shallower. They consider whether economic expansions and contractions tend to die of "old age." Contrary to popular wisdom, they find little evidence that expansions become more fragile the longer they last, although they do find that contractions are increasingly likely to end as they age. The authors discuss the defining characteristics of business cycles, focusing on how economic variables move together and on the timing of the slow alternation between expansions and contractions. They explore the difficulties of distinguishing between long-term trends in the economy and cyclical fluctuations. And they examine how business cycles can be forecast, looking in particular at how to predict turning points in cycles, rather than merely the level of future economic activity. They show here that the index of leading economic indicators is a poor predictor of future economic activity, and consider what we can learn from other indicators, such as financial variables. Throughout, the authors make use of a variety of advanced econometric techniques, including nonparametric analysis, fractional integration, and regime-switching models. Business Cycles is crucial reading for policymakers, bankers, and business executives.
Author: Matthew Alan Talbert
Publisher:
ISBN:
Category :
Languages : en
Pages : 266
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Chapters one and two of the dissertation investigate the effects of political disagreement on macroeconomic outcomes. I introduce a model of governments with heterogeneous preferences over the composition of consumption between private and public goods alternating in power. Unable to commit to future policies, the party in power has incentive not only to shape consumption according to their preferences but also to manipulate the future state faced by successive governments to influence the decisions of future policy makers. Alternating governments give rise to political business cycles; fluctuations in economy-wide variables due to the political system. Political business cycles help explain the divergence in outcomes of economic variables across countries with different levels of political disagreement and political stability. The first chapter adapts a real business cycle model to include political shocks in addition to the productivity shocks. This is motivated by a key puzzle in the business cycle literature: for emerging economies the volatility of consumption is higher than the volatility of output, a feature of the data that is not explained by standard theory. The goal of this chapter is not only to replicate the data but to understand how consumption responds to political shocks differently than shocks to productivity. This model is also able to recreate endogenously the high level of volatility in government expenditure observed in the data. The model can explain up to 29% of the variation in the relative volatility of consumption across countries. Chapter two focuses on a similar model in the presence of debt instead of capital to develop a positive theory for fiscal policy (debt, expenditure, and deficits) over the business cycle to compare to historical observation. I find that political shocks are important to understand observed U.S. data moments. Chapter three investigates the welfare effects of tax-deferred retirement accounts (similar to Traditional IRAs in the US). I find that such accounts increase aggregate welfare as well as increasing economy-wide inequality. I find from an aggregate welfare perspective the optimal contribution limit for IRAs is to not have a contribution limit.
Author: Thomas F. Cooley
Publisher: Princeton University Press
ISBN: 9780691043234
Category : Business & Economics
Languages : en
Pages : 452
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This introduction to modern business cycle theory uses a neoclassical growth framework to study the economic fluctuations associated with the business cycle. Presenting advances in dynamic economic theory and computational methods, it applies concepts to t
Author: Robert J. Barro
Publisher: New York : Academic Press
ISBN: 9780120795505
Category : Business & Economics
Languages : en
Pages : 375
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Author: Chung-Eun Lee
Publisher:
ISBN:
Category :
Languages : en
Pages : 154
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Author: Ramon Y. Moreno
Publisher:
ISBN:
Category :
Languages : en
Pages : 456
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