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Author: Yang Su Park
Publisher:
ISBN:
Category :
Languages : en
Pages : 176
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Author: Yang Su Park
Publisher:
ISBN:
Category :
Languages : en
Pages : 176
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: David Currie
Publisher: Routledge
ISBN: 1317377680
Category : Business & Economics
Languages : en
Pages : 360
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Bringing together the proceedings of the 1979 and 1980 annual conferences of the Association of University Teachers of Economics the papers in this volume discuss: the effect of social security on private saving; an analysis of aggregate consumer behaviour; the philosophy and objectives of econometrics and other topics in macroeconomic and econometric analysis.
Author: Chacko George
Publisher:
ISBN:
Category :
Languages : en
Pages : 276
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This dissertation consists of three essays on topics in macroeconomics. In the first chapter, I construct a macroeconomic model with a heterogeneous banking sector and an interbank lending market. Banks differ in their ability to transform deposits from households into loans to firms. Bank size differences emerge endogenously in the model, and in steady state, the induced bank size distribution matches two stylized facts in the data: bigger banks borrow more on the interbank lending market than smaller banks, and bigger banks are more leveraged than smaller banks. I use the model to evaluate the impact of increasing concentration in US banking on the severity of potential downturns. I find that if the banking sector in 2007 was only as concentrated as it was in 1992, GDP during the Great Recession would have declined by 40% less it did, and would have recovered twice as fast. In the second chapter, my co-author and I investigate the impact of firm capacity constraints on aggregate production and productivity when the economy is driven by aggregate and idiosyncratic demand shocks. We are motivated by three observed regularities in US GDP: business cycles are asymmetric, in that large absolute changes in output are more likely to be negative than positive; capacity and capital utilization are procyclical, and increase the procyclicality of measured productivity; the dispersion of firm productivity increases in recessions. We devise a model of demand shocks and endogenous capacity constraints that is qualitatively consistent with these observations. We then calibrate the model to aggregate utilization data using standard Bayesian techniques. Quantitatively, we find that the calibrated model also exhibits significant asymmetry in output, on the order of the regularities observed in GDP. The third chapter explores the role of distance in equilibrium selection. I consider a model economy with multiple steady state equilibria where a high productivity and a low productivity technology are available for use in production. The high productivity technology requires a fixed set up cost for production. Sectors are linked by localized production complementarities. I consider selection under a learning rule in which agents imitate their most successful neighbor. As distance between neighbors decreases, the possible profits from industrialization increase, and the likelihood that the learning rule process converges to a steady state matching the H equilibrium increases. The result suggests that, in the presence of localized technology spillovers, there may be important gains to economic growth from infrastructure development.
Author: David Henry Bowman
Publisher:
ISBN:
Category :
Languages : en
Pages : 230
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Author: Robert J. Barro
Publisher: New York : Academic Press
ISBN: 9780120795505
Category : Business & Economics
Languages : en
Pages : 375
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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: 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: Chung-Eun Lee
Publisher:
ISBN:
Category :
Languages : en
Pages : 154
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Author: Fang Ge
Publisher:
ISBN:
Category :
Languages : en
Pages :
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