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This dissertation consists of three essays, which study the implication of financial frictions in business cycles and monetary policy making. The first essay develops a Dynamic Stochastic General Equilibrium (DSGE) model to study how the instability of the banking sector can amplify and propagate business cycles. Model simulations show that in an economic down turn, in addition to credit demand contraction induced by low firm net worth, low bank capital
position can create strong credit supply contraction, and have a quantitatively significant effect on business cycle dynamics. The second essay studies the optimal Taylor-type monetary policy rules based on the model developed in the first chapter and find that with interest rate smoothing, 'leaning against the wind' can significantly dampen the procyclicality of financial distortions, and increase the welfare of the economy. The third chapter examines the role of households frugality in a financial crisis and finds that higher savings by more frugal households provide an important cushion for the fall in private investment funding.
This dissertation introduces in chapter 1 a new comparative approach to model-based research and policy analysis by constructing an archive of business cycle models. It includes many well-known models used in academia and at policy institutions. A computational platform is created that allows straightforward comparisons of models’ implications for monetary and fiscal stabilization policies. Chapter 2 applies business cycle models to forecasting. Several New Keynesian models are estimated on historical U.S. data vintages and forecasts are computed for the five most recent recessions. The extent of forecast heterogeneity for models and professional forecasts is analysed. Chapter 3 extends the forecasting analysis to a long sample and to the evaluation of density forecasts. Weighted forecasts are computed using a variety of weighting schemes. The accuracy of forecasts is evaluated and compared to professional forecasts and forecasts from nonstructural time series methods. Chapter 4 adds a new feature to existing business cycle models. Specifically, a medium-scale New Keynesian model is constructed that allows for strategic complementarities in price-setting. The role of trade integration for monetary policy transmission is explored. A new dimension of the exchange rate channel is highlighted by which monetary policy directly impacts domestic inflation. Chapter 5 tests whether simple symmetric monetary policy rules used in most business cycle models are a sufficient description of reality. I use quantile regressions to estimate policy parameters and find asymmetric reactions to inflation, the output gap and past interest rates.
Both practitioners and academics agree about the importance of price and its direct influenceon consumers’ purchase decision as well as the company profit. In the reality, we rarely see a
single price for a given product. One visit in a store already shows that consumers face many various prices. This strategy of differential prices allows to increase profit but also improves consumers’ situation and increases welfare. A wide range of various price differentiation mechanisms exists on the market which makes price differentiation a very interesting phenomenon. Additionally, market developments constantly allow for new price differentiation applications. In this work, I research a fascinating topic of price differentiation, its various forms
and new application possibilities in changing market areas.
This dissertation consists of four self-contained chapters in the overlapping fields of industrial organization and organizational economics on the topics pricing, careers and supervision. Each chapter is the result of an independent research project. The dissertation analyzes empirical research topics by exploring novel observational data sets. It sheds light on open questions in the economic profession by extending fundamental models on pricing in the first two chapters and by challenging conventional explanations and methods on careers and supervision in the last two chapters.
- Chapter 1:
The first chapter is based on joint work with Steffen Eibelshäuser. It models price competition among brick-and-mortar retailers with business hours. Specifically, we propose a dynamic model of intraday price competition featuring spatial differentiation and firm size heterogeneity. The model makes detailed predictions concerning equilibrium-pricing patterns. When spatial differentiation is high and consumers cannot easily switch between retailers, equilibrium prices are stable at oligopoly levels. When differentiation is low, equilibrium prices fluctuate in cycles. The shapes of the cycles depend on the level of differentiation and on retailers’ reaction times. When reaction times decrease, the number of price cycles increases. In a second step, we apply the model to the German retail gasoline market. Gasoline retailers have been using digital price tags for decades and fast-paced price competition with more than ten price changes per day is no exception. Our model has successfully predicted the emergence of an additional intraday subcycle in April 2017. Moreover, we were able to confirm several detailed predictions concerning the shape of equilibrium price paths and individual firm behavior. Finally, we calibrate the model using a generalized method of moments. The model fits the data remarkably well, with coefficients of determination ranging from 60% to 80%. We use the fitted model to evaluate a number of policy counterfactuals. Restricting price increases results in higher prices and decreased welfare, leading us to conclude that regulation of dynamic markets is highly complex and can easily backfire.
- Chapter 2:
The second chapter analyzes the price-matching policies of two gasoline retailers. Customers of these retailers that are able to provide evidence of competitors posting lower prices have the ability to claim price matches. As shown in the first chapter, the Edgeworth Cycle model rationalizes price fluctuations in the German gasoline retail market. To determine policy interactions in cycling markets, this chapter extends the classical Edgeworth Cycle model by price-matching. The model predicts that price-matching retailers post higher prices and initiate price increases. The price-consulted firm anticipates this strategy, posts lower prices, and provokes the implementing firm to restore the price more frequently. Consulted stations also anticipate earlier price restoration reactions from implementing stations and, thus, provoke restorations earlier. This effect dominates in welfare calculations, such that price matching has positive welfare implications.
The second part of the chapter tests the hypotheses with price data on the German gasoline retail market. The estimation exploits a discontinuity in the policy-affected retailers. Therefore, the analysis disentangles the competitive effects of implementing and price-consulted market participants in comparison to retailers that are not affected. As predicted, the posted average and minimum prices of one implementing retailer and its consulted competitors increase. For the other price-matching retailer, I find reduced prices that contradict the model. The last part of the chapter relates the empirics to static models and shows that the dynamic component provides previously undiscovered insights.
- Chapter 3:
The third chapter is based on joint work with Emmanuelle Auriol and Guido Friebel. It represents the subtopic of careers in this dissertation. Specifically, the chapter provides the first comprehensive data collection analysis of women’s careers in all European research institutions in the field of economics. Using a web-scraping algorithm that constantly accesses position information on institutions’ websites, we collect a novel data set on researchers in Europe. These details entail information on researchers’ gender obtained by the first name and a face recognition. Similar to survey data on U.S. institutions, we identify a leaky pipeline, as women are less likely to become professors than men are. The situation is very heterogeneous across Europe. The gap is substantially larger in Western and Southern Europe than in Central and Eastern Europe. Furthermore, we identify institutions with a higher research output and a better research-ranking having a systematically lower share of females in full professor positions as well as entry-level positions for Ph.D. graduates. Austria, Belgium, Italy, Portugal, and Spain are the drivers for this correlation. All these results are in line with the “leaky pipeline” hypothesis, in which, over the different stages of a career, the attrition of women is higher than the one of men. We show that the cohort hypothesis arguing that the lag effect between the time of Ph.D. completion and the time of promotion to a full professorship is unable to explain the current low number of females.
- Chapter 4:
The fourth and last chapter "What does Mystery Shopping do?" is based on joint work with Sidney Block, Guido Friebel, Matthias Heinz, and Nick Zubanov. It addresses an auditing practice with a yearly U.S.-turnover of 19.5 billion USD in 2016 (European Society for Opinion and Market Research, 2017: Global Market Research 2017). The term mystery represents the key aspect of the tool. During an anonymous visit, so-called mystery shoppers perform certain predefined tasks such as purchasing a product, asking questions, registering complaints, or behaving in a certain way. Following their visit, the shoppers provide detailed reports about their experiences to the evaluated firms. The chapter investigates whether the practice is suitable to determine employees’ pay. Contrary to the general understanding that firms are able to observe service quality and, in turn, can proxy for business success with mystery shopping, we do not observe mystery-shopping evaluations to correlate positively with firm performance. A decomposition of the evaluation reports indicates that mystery-shopping scores are biased and the shopper’s identity explains up to 20% of the score’s variance. Thus, the shopper’s identity has the largest impact out of all observable characteristics. With the results that mystery-shopping scores are noisy and biased, we conclude that they are not suitable for performance pay in the context of our study. In addition, we show that if the number of observations is sufficiently large, aggregated scores relate to business success. The required number of shops per evaluation period must be, however, larger by a factor between 3 and 30 per evaluated subject. Hence, cost advantages of mystery shopping diminish such that the cost benefits to customer assessments could vanish completely. The current methodology, however, may still be useful for other employee-related purposes like monitoring, which is in line with the policies of the considered firms.
Table of Contents – Cumulative Dissertation Thesis German Summary Summary of Analysis Results for German-Speaking Readers Introductory Paper Introduction and Overview of the Dissertation Paper 1 Vykoukal, Jens / Wolf, Martin / Beck, Roman (2009) Services Grids in Industry: On-Demand Provisioning and Allocation of Grid-based Business Services In: Business & Information Systems Engineering (BISE), 1(2), 177-184 Paper 2 Vykoukal, Jens / Setzer, Michael / Beck, Roman (2008) Grid Architecture for Risk Management: A Case Study in a Financial Institution In: Proceedings of the 12th Pacific Asia Conference on Information Systems (PACIS), Suzhou, China Paper 3 Vykoukal, Jens / Pahlke, Immanuel / Beck, Roman (2011) Impact of Grid Assimilation on Operational Agility in Turbulent Environments: An Empirical Investigation in the Financial Services Industry In: Proceedings of the 19th European Conference on Information Systems (ECIS), Helsinki, Finland Paper 4 Vykoukal, Jens / Wolf, Martin / Beck, Roman (2009) Does Green IT Matter? Analysis of the Relationship between Green IT and Grid Technology from a Resource-based View Perspective In: Proceedings of the 13th Pacific Asia Conference on Information Systems (PACIS), Hyderabad, India Paper 5 Vykoukal, Jens (2010) Grid Technology as Green IT Strategy? Empirical Results from the Financial Services Industry In: Proceedings of the 18th European Conference on Information Systems (ECIS), Pretoria, South Africa Paper 6 Vykoukal, Jens / Beck, Roman / Wolf, Martin (2010) Impact of Pressure for Environmental Sustainability on Grid Assimilation: Empirical Results from the Financial Services Industry In: Australasian Journal of Information Systems (AJIS), 17(1), 83-106 Appendix: Publications, Curriculum Vitae
The Indian IT industry has received great attention. Although most studies cover South Indian locations, clustering has rarely been a topic. This study focuses on Bangalore addressing questions related to Bangalore’s successful development and lessons thereof for other regions in and outside India. The approach pertains to economic geography and international business; hypotheses have been developed from a multi-disciplinary literature survey and interview fieldwork in Bangalore. I emphasize human and social capital and networks. While the first chapter delineates cultural foundations of human capital formation, the second and third deal with bonding and bridging social capital (or dense and loose networks), respectively; the fourth is an outlook on future opportunities through intersectoral upgrading. The main hypothesis is that a combination of both forms of social networks - contingent upon sub-sectors – has helped Bangalore developing a successful IT industry. Positive attitudes towards education led to relatively more human capital spawning two positive feedbacks: 1) establishment of national research and educational institutes resulting in large inflows of a diversity of people providing the required setting for creativity and innovation; 2) transnational networks linking to Silicon Valley are dominated by people from South India, allowing for additional knowledge spillovers corroborating the regional clustering.
This dissertation contains three essays on monetary policy, dynamics of the interest rates and spillovers across economies. In the first essay I examine the effects of monetary policy and its interaction with financial regulation within a micro-founded macroeconometric framework for a closed economy with a heterogeneous banking system, facing a period of low interest rates. I analyse the interplay between monetary policy and banking regulation and study the role of agents’ expectations for the effectiveness of unconventional monetary policy tools. In the next essay, I argue that openness is crucial for understanding the dynamics of the term structure. In an empirical application, I show that my model of the term structure fits well the yield curve in-sample and has a sound ability to forecast interest rates out-of-sample. The model accounts for the expectations hypothesis, replicates the forward premium anomaly and reconciles the uncovered interest rate parity implications. The last essay is concerned with the dynamics of co-movement among macroeconomic aggregates and the degree of convergence or decoupling amongst economies. The model includes measures of financial and trade-based interdependencies and incorporates feedback between macroeconomic variables and time-varying weights. The findings point at the importance of asset price movements and financial linkages.
This thesis is concerned with the derivation of new methods for the analysis of nonstationary, cross correlated panels. The suggested procedures are carefully quantified by means of Monte Carlo experiments. Typical applications of the developed methods consist in multi-country studies, with several countries observed over a couple of decades. The empirical applications implemented here are the testing for trends in the investment share in European GDPs and the examination of OECD interest rates. In the first chapter, a panel test for the presence of a linear time trend is proposed. The test is applicable in cross-correlated, heterogeneous panels and it can also be used when the integration order of innovations is unknown, by means of subsampling. In the next chapter a cointegration test having asymptotic standard normal distributiun and not requiring exogeneity assumptions is derived. In panels exhibiting cross-correlation or cointegration, individual test statistics are asymptotically independent, which leads to a panel test statistic robust to dependence across units. The third chapter examines in an econometric context the simple idea of combining p-values from a series of statistical tests and improves its applicability in the presence of cross-correlation. The last chapter applies recent panel techniques to OECD long-term interest rates and differentials thereof, finding only rather week evidence in favor of stationarity when allowing for cross-correlation.
Die Börsenindustrie hat in den vergangenen zwei Jahrzehnten einen signifikanten Wandel durchlaufen - und das nicht nur in Deutschland. Börsen haben schon längst nicht mehr den Charakter vergangener Tage, in denen ihre Mitglieder auf dem Parkett um Aktienpakete und -kurse von inländischen Unternehmen feilschten und an den genossenschaftlich organisierten Handelsplätzen eher eine vertrauliche Clubatmosphäre herrschte. Eine Vielzahl der Börsen hat den Parketthandel abgeschafft, ist selbst an einer Börse gelistet und orientiert sich primär am Shareholder Value und somit an den Interessen einer internationalen Aktionärsbasis. Mittlerweile existieren Börsenplätze, die mehrere Länder umspannen. Der französisch dominierten Euronext kommt hier eine Vorreiterrolle zu. Aber auch andere Börsen, wie die Deutsche Börse und die Schweizer Börse, haben länderübergreifend ihre Derivatehandelsplattformen vereinigt und mit ihrem Jointventure Eurex die umsatzstärkste Derivatebörse der Welt geschaffen. In jüngster Zeit werden nun auch transatlantische Allianzen zwischen amerikanischen und europäischen Börsen angedacht. Sowohl die Strategie der Nasdaq, die bisher eine Sperrminorität von über 25% an der Londoner Börse hält, als auch die der New York Stock Exchange, die eine Fusion mit der Euronext anstrebt, belegen dies. Zudem stehen Börsen mittlerweile in direktem Wettbewerb mit ihren Kunden und ehemaligen Eigentümern, den Finanzintermediären wie Banken und Wertpapierhäuser. Sie konkurrieren um Wertpapieraufträge von Investoren, da Banken nicht mehr jede Order automatisch an sie weiterleiten. Stattdessen versuchen manche Finanzintermediäre, die erhaltenen Investorenaufträge im eigenen Haus mit einer entsprechenden reziproken Order zusammenzuführen, um somit die Geld-Brief Spanne des Wertpapiers als Gewinn einzubehalten. Diese Internalisierung von Auftragsausführungen ist seit einigen Jahren insbesondere in England und Deutschland eine bedeutende Einkommensquelle für Wertpapierhäuser geworden. Gleichzeitig stoßen Börsen immer stärker in Geschäftsbereiche vor, die bislang die Domäne ihrer Kunden repräsentierten. Hier sei der Handel von bestimmten Kreditderivateprodukten genannt, die bisher außerbörslich zwischen großen Wertpapierhäusern gehandelt wurden. Sowohl die Chicago Mercantile Exchange als auch die Eurex planen den Handel dieser Titel auf ihren eigenen Plattformen. Ein weiteres Beispiel ist die vertikale Integration von Wertpapierabwicklungs- und Wertpapierverwahrungsgeschäften. Große internationale Banken wie BNP Paribas, Citigroup und State Street kämpfen hier gegen Börsen um Marktanteile. Wie kam es zu dem hier beschriebenen Wandel? Der entscheidende Katalysator ist der gestiegene Wettbewerbsdruck auf traditionelle Börsen, welcher in vielen Fällen zu einer Umstrukturierung ihrer Organisationsform und Eigentümerstruktur führte. Diese neu ausgerichteten Börsen verstanden sich nun als reguläre, gewinnorientierte Firmen, die nicht mehr in erster Linie ihren Kunden, sondern ihren neuen Eigentümern, den Aktionären, verpflichtet waren. ...