Essays in Econometrics and Macroeconomics
Essays in Econometrics and Macroeconomics
|dc.description.abstract||From a global perspective, this dissertation illustrates the consequences of choosing a particular balance between completeness and manageability in terms of model building, both in the field of macroeconomics and econometrics. Each of the three chapters shows that there are potentially dramatic consequences of taking into account, in a manageable way, additional and – with respect to the question at hand – essential layers of reality. In particular, in terms of econometric theory, Chapter 1 demonstrates that considerably more precise estimates within a dynamic factor model are obtainable by employing simple two-step estimators taking into account additional features of the data-generating process. Chapter 2, furthermore, considers a macroeconomic model featuring labor market frictions. It highlights the important consequences for equilibrium allocations and optimal monetary policy when altering the central aspect of the wage determination mechanism, so that it is consistent with empirical evidence. Finally, Chapter 3 presents an empirical investigation, studying the effects of fiscal policy on the macroeconomy. In this regard, it demonstrates the importance of allowing for particular features of the information structure as well as of distinguishing certain subcomponents of the fiscal variables, which might have different macroeconomic effects as implied by economic theory. As a result, we can illustrate that while at a certain level of abstraction, the findings of different approaches in the literature seem to be in conflict with each other, at another level the antagonism vanishes.|
More specifically, Chapter 1 considers efficient estimation of dynamic factor models. A simple two-step estimation procedure is suggested to obtain efficient estimates in the presence of both heteroskedasticity and autocorrelation. Interestingly, with respect to the factors, it is only potential heteroskedasticity which has to be taken into account, whereas for the loadings the relevant aspect is just autocorrelation. While, as we show, the feasible two-step PC-GLS estimator is asymptotically as efficient as the estimator that (locally) maximizes the full approximate likelihood function, small sample gains may be obtained by iterating the two-step estimator. This is indeed reflected in the results of our extensive Monte Carlo investigation. Moreover, we also document the superior performance of the two-step PC-GLS estimator compared to standard PC.
Chapter 2 studies optimal monetary policy using a simple New-Keynesian model featuring labor market frictions, heterogeneous wage setting, as well as markup shocks. Replacing the typically used uniformly rigid wage by a form of wage heterogeneity consistent with the data, has profound effects on the policy implications of this model. In particular, the sizable short-run inflation unemployment trade-off, which is present in the original setup, disappears. This results despite the fact that the original setup is just slightly changed and even though the model features an economy-wide average wage which is still rigid. As an overall rigid real wage is typically employed to address the so-called unemployment volatility puzzle, I follow suggestions in the literature with respect to an alternative mechanism and introduce markup shocks as additional driving forces into the model. While a short-run inflation unemployment trade-off indeed arises in this setup, optimal policy is nevertheless characterized by an overriding focus on inflation stabilization.
In light of the conflicting empirical results concerning the effects of fiscal policy on the macroeconomy and the potentially important role of fiscal policy anticipation in this regard, Chapter 3 investigates the response of private consumption to fiscal shocks within an SVAR framework, explicitly taking into account fiscal foresight. A new empirical approach is suggested, designed to align the information sets of the private agents and the econometrician, which allows us to avoid the problems of standard VARs. A simulation experiment based on a theoretical model featuring (imperfect) fiscal foresight documents the ability of the approach, in contrast to a standard VAR, to correctly capture macroeconomic dynamics. This result is even robust to deviations from the underlying informational assumptions of the expectation augmented VAR. The subsequent application to real life data indicates that it is indeed important in empirical work to allow for anticipation of fiscal policy. Moreover, it shows that it is crucial to distinguish subcomponents of total government expenditure which might have different macroeconomic effects according to economic theory. By distinguishing government defense and non-defense spending, it is possible to reconcile the results of the narrative and SVAR approaches to the study of fiscal policy effects.
|dc.subject.ddc||300 Sozialwissenschaften, Soziologie, Anthropologie|
|dc.title||Essays in Econometrics and Macroeconomics|
|dc.type||Dissertation oder Habilitation|
|dc.publisher.name||Universitäts- und Landesbibliothek Bonn|
|ulbbnediss.affiliation.name||Rheinische Friedrich-Wilhelms-Universität Bonn|
|ulbbnediss.fakultaet||Rechts- und Staatswissenschaftliche Fakultät|
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