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Beyond Weltpolitik, self-containment and civilian power : United Germany´s normalizing ambitions
(1999)
In many parts of the world, the centralized grid provides energy to the population only to a limited extent. The electrification for sub-Saharan Africa countries is the lowest in the world, representing half of the world's population withoutelectricity. However, during the last years there has been an increased attention to rural areas in the Global South beyond the centralised grid, especially with respect to improved possibilities of solar power systems. The transition from one dominant form of energy provision to various alternatives includes different dimensions and depends on specific socio-spatial contexts. Energy systems are framed within systems of spatial practices, performed by a variety of involved actors, like consumers, local suppliers, international for-profit companies, international development donors as well as national and regional authorities. As such power systems arealways cause and effect of socio-technical change This study takes the example of Rwanda to analyse the marketization of decentralised energy systems. Based on empirical field work with energy entrepreneurs it combines Post-Colonial Theory with Science and Technology-Studies to theorise the role of energy to the social production of space beyond the grid.
The article discusses the methodology adopted for a cross-linguistic synchronic and diachronic corpus study on indefinites. The study covered five indefinite expressions, each in a different language. The main goal of the study was to verify the distribution of these indefinites synchronically and to attest their historical development. The methodology we used is a form of functional labeling which combines both context (syntax) and meaning (semantics) using as a starting point Haspelmath’s (1997) functional map. In the article we identify Haspelmath’s functions with logico-semantic interpretations and propose a binary branching decision tree assigning each instance of an indefinite exactly one function in the map.
Discussions regarding the planned European Deposit Insurance Scheme (EDIS), the missing third pillar of the European Banking Union, have been ongoing since the Commission published its initial legisla-tive proposal in 2015. A breakthrough in negotiations has yet to be achieved. The gridlock on EDIS is most commonly attributed to moral hazard concerns over insufficient risk reduction harboured on the side of northern member states, particularly Germany, due to the weak state of some other member states’ banking sectors. While moral hazard based on uneven risk reduction is helpful for explaining divergent member-state preferences on the scope of necessary risk reduction, this does not explain preferences on the institutional design of EDIS. In this paper, we argue that contrary to persistent differences on necessary risk reduction, preferences regarding the institutional design of EDIS have become more closely aligned. We analyse how preferences on EDIS developed in the key member states of Germany, France, and Italy. In all sampled countries, we find path-dependent benefits con-nected to the current design of national Deposit Guarantee Schemes (DGS) that shifted preferences of the banking sector or significant subsectors in favour of retaining national DGSs. Overall, given that a compromise on risk-reduction can be accomplished, we argue that current preferences in these key member states provide an opportunity to implement EDIS in the form of a reinsurance system that maintains national DGSs in combination with a supranational fund.
What are the aggregate and distributional consequences of the relationship be-tween an individual’s social network and financial decisions? Motivated by several well-documented facts about the influence of social connections on financial decisions, we build and calibrate a model of stock market participation with a social network that emphasizes the interplay between connectivity and network structure. Since connections to informed agents help spread information, there is a pivotal role for factors that determine sorting among agents. An increase in the average number of connections raises the average participation rate, mostly due to richer agents. A higher degree of sorting benefits richer agents by creating clusters where information spreads more efficiently. We show empirical evidence consistent with the importance of connectivity and sorting. We discuss several new avenues for future research into the aggregate impact of peer effects in finance.
Eine Beteiligung des Managements an Gewinngrößen spielt eine wichtige Rolle bei der Ausrichtung von Managemententscheidungen auf die Ziele der Unternehmenseigentümer. Dieser Beitrag zeigt auf, unter welchen Gewinnermittlungsregeln ein Agent zu optimalen Investitionsentscheidungen motiviert wird, wenn er an den Residualgewinnen beteiligt wird. Dieser Beitrag beschäftigt sich insbesondere mit der Frage, ob zum Zwecke einer optimalen Investitionssteuerung, Fertigerzeugnisse zu Vollkosten oder zu Teilkosten bewertet werden sollen. Vor diesem Hintergrund werden ebenfalls verschiedene Wertansätze für Forderungen auf ihre Anreizwirkungen untersucht.
How might retirees consider deploying the retirement assets accumulated in a defined contribution pension plan? One possibility would be to purchase an immediate annuity. Another approach, called the "phased withdrawal" strategy in the literature, would have the retiree invest his funds and then withdraw some portion of the account annually. Using this second tactic, the withdrawal rate might be determined according to a fixed benefit level payable until the retiree dies or the funds run out, or it could be set using a variable formula, where the retiree withdraws funds according to a rule linked to life expectancy. Using a range of data consistent with the German experience, we evaluate several alternative designs for phased withdrawal strategies, allowing for endogenous asset allocation patterns, and also allowing the worker to make decisions both about when to retire and when to switch to an annuity. We show that one particular phased withdrawal rule is appealing since it offers relatively low expected shortfall risk, good expected payouts for the retiree during his life, and some bequest potential for the heirs. We also find that unisex mortality tables if used for annuity pricing can make women's expected shortfalls higher, expected benefits higher, and bequests lower under a phased withdrawal program. Finally, we show that delayed annuitization can be appealing since it provides higher expected benefits with lower expected shortfalls, at the cost of somewhat lower anticipated bequests. Klassifikation: G22, G23, J26, J32, H55 . January 2004.
Traditional tests of the CAPM following the Fama / MacBeth (1973) procedure are tests of the joint hypotheses that there is a relationship between beta and realized return and that the market risk premium is positive. The conditional test procedure developed by Pettengill / Sundaram / Mathur (1995) allows to independently test the hypothesis of a relation between beta and realized returns. Monte Carlo simulations show that the conditional test reliably identifies this relation. In an empirical examination for the German stock market we find a significant relation between beta and return. Previous studies failed to identify this relationship probably because the average market risk premium in the sample period was close to zero. Our results provide a justification for the use of betas estimated from historical return data by portfolio managers.
Decisions under ambiguity depend on both the belief regarding possible scenarios and the attitude towards ambiguity. This paper exclusively investigates the belief formation and belief updating process under ambiguity, using laboratory experiments. The results show that half of the subjects tend to adopt a simple heuristic strategy when updating beliefs, while the other half seems to partially adopt the Bayesian updates. We recover beliefs, represented by distributions of the priors/posteriors. The recoverable initial priors mostly follow a uniform distribution. We also find that subjects on average demonstrate slight pessimism in an ambiguous environment.
If there is one thing to be learned from David Foster Wallace, it is that cultural transmission is a tricky game. This was a problem Wallace confronted as a literary professional, a university-based writer during what Mark McGurl has called the Program Era. But it was also a philosophical issue he grappled with on a deep level as he struggled to combat his own loneliness through writing. This fundamental concern with literature as a social, collaborative enterprise has also gained some popularity among scholars of contemporary American literature, particularly McGurl and James English: both critics explore the rules by which prestige or cultural distinction is awarded to authors (English; McGurl). Their approach requires a certain amount of empirical work, since these claims move beyond the individual experience of the text into forms of collective reading and cultural exchange influenced by social class, geographical location, education, ethnicity, and other factors. Yet McGurl and English's groundbreaking work is limited by the very forms of exclusivity they analyze: the protective bubble of creative writing programs in the academy and the elite economy of prestige surrounding literary prizes, respectively. To really study the problem of cultural transmission, we need to look beyond the symbolic markets of prestige to the real market, the site of mass literary consumption, where authors succeed or fail based on their ability to speak to that most diverse and complicated of readerships: the general public. Unless we study what I call the social lives of books, we make the mistake of keeping literature in the same ascetic laboratory that Wallace tried to break out of with his intense authorial focus on popular culture, mass media, and everyday life.
As 2021 draws to a close, Covid-19 continues to prevail worldwide. With the proverbial return to normalcy still appearing distant, there is now a tacit acceptance globally that at least for the foreseeable future, we must live with Covid-19. Given that Covid-19 is an infectious disease—which by definition is transmitted from person to person—the continued prevalence of Covid-19 has implications for how local authorities, communities, and individuals around the world will approach public spaces. While it may be premature to assume a so-called coronacene (see Higgins et al. 2020), going into the future our use of public spaces will be overshadowed by the possibility, even if remote, of illness or death by virtue of close proximity to other individuals.
Along with parks and squares, streets and avenues, bazaars constitute ubiquitous public spaces, including in countries of the developing world, such as Armenia and Georgia, our countries of discussion here. Although there is not a clear bifurcation between bazaars and other types of marketplaces, bazaars will usually be comprised of a multitude of nonfranchised, self-owned, small businesses that are variously family-run or rely on family labor. They are usually perceived as chaotic places that lack hygiene (the purportedly unhygienic character of the bazaar was brought to the forefront with the pandemic, given how Covid-19’s origin is widely assumed to be a Wuhan wet market).
In Armenia and Georgia, and indeed, across the former Soviet Union, bazaars are a source of employment for the urban and peri-urban population; they also offer goods at price points attractive to a wide demographic. This working paper builds on the premise that the bazaar is an informal institution. Bazaar traders will typically assemble networks by themselves (with manufacturers and wholesalers, buyers and transporters). These networks will usually vary from one business to another. Also, ownership and rent structures are frequently opaque, and the majority of commercial transactions are in cash, which does not appear in state records. As a consequence, for the state, many small businesses do not exist (Fehlings and Karrar 2016, 2020).
For those of us researching bazaar trading, Covid-19 has given rise to a basic question: How have independent businesses been transformed by the pandemic? This working paper is an attempt to parse this question in light of developments in Armenia and Georgia. In this working paper, we suggest that the Covid-19 pandemic has deepened informality in the bazaar. That being said, we want to underscore that the present discussion is exploratory. Our ethnography remains limited, and we look forward to returning to the field as soon as it is safe to do so.
A novel spatial autoregressive model for panel data is introduced, which incor-porates multilayer networks and accounts for time-varying relationships. Moreover, the proposed approach allows the structural variance to evolve smoothly over time and enables the analysis of shock propagation in terms of time-varying spillover effects.
The framework is applied to analyse the dynamics of international relationships among the G7 economies and their impact on stock market returns and volatilities. The findings underscore the substantial impact of cooperative interactions and highlight discernible disparities in network exposure across G7 nations, along with nuanced patterns in direct and indirect spillover effects.
We estimate a Bayesian vector autoregression for the U.K. with drifting coefficients and stochastic volatilities. We use it to characterize posterior densities for several objects that are useful for designing and evaluating monetary policy, including local approximations to the mean, persistence, and volatility of inflation. We present diverse sources of uncertainty that impinge on the posterior predictive density for inflation, including model uncertainty, policy drift, structural shifts and other shocks. We use a recently developed minimum entropy method to bring outside information to bear on inflation forecasts. We compare our predictive densities with the Bank of England's fan charts.
In this paper we adapt the Hamiltonian Monte Carlo (HMC) estimator to DSGE models, a method presently used in various fields due to its superior sampling and diagnostic properties. We implement it into a state-of-theart, freely available high-performance software package, STAN. We estimate a small scale textbook New-Keynesian model and the Smets-Wouters model using US data. Our results and sampling diagnostics confirm the parameter estimates available in existing literature. In addition, we find bimodality in the Smets-Wouters model even if we estimate the model using the original tight priors. Finally, we combine the HMC framework with the Sequential Monte Carlo (SMC) algorithm to create a powerful tool which permits the estimation of DSGE models with ill-behaved posterior densities.
In this paper we adopt the Hamiltonian Monte Carlo (HMC) estimator for DSGE models by implementing it into a state-of-the-art, freely available high-performance software package. We estimate a small scale textbook New-Keynesian model and the Smets-Wouters model on US data. Our results and sampling diagnostics confirm the parameter estimates available in existing literature. In addition we combine the HMC framework with the Sequential Monte Carlo (SMC) algorithm which permits the estimation of DSGE models with ill-behaved posterior densities.
We study the problem of a policymaker who seeks to set policy optimally in an economy where the true economic structure is unobserved, and policymakers optimally learn from their observations of the economy. This is a classic problem of learning and control, variants of which have been studied in the past, but little with forward-looking variables which are a key component of modern policy-relevant models. As in most Bayesian learning problems, the optimal policy typically includes an experimentation component reflecting the endogeneity of information. We develop algorithms to solve numerically for the Bayesian optimal policy (BOP). However the BOP is only feasible in relatively small models, and thus we also consider a simpler specification we term adaptive optimal policy (AOP) which allows policymakers to update their beliefs but shortcuts the experimentation motive. In our setting, the AOP is significantly easier to compute, and in many cases provides a good approximation to the BOP. We provide a simple example to illustrate the role of learning and experimentation in an MJLQ framework. JEL Classification: E42, E52, E58
Basel III and CEO compensation in banks: pay structures as a regulatory signal : [March 6, 2013]
(2013)
This paper proposes a new regulatory approach that implements capital requirements contingent on managerial compensation. We argue that excessive risk taking in the financial sector originates from the shareholder moral hazard created by government guarantees rather than from corporate governance failures within banks. The idea of the proposed regulation is to utilize the compensation scheme to drive a wedge between the interests of top management and shareholders to counteract shareholder risk-shifting incentives. The decisive advantage of this approach compared to existing regulation is that the regulator does not need to be able to properly measure the bank investment risk, which has been shown to be a difficult task during the 2008-2009 financial crisis.
Bargaining with a bank
(2018)
This paper examines bargaining as a mechanism to resolve information problems. To guide the analysis, I develop a parsimonious model of a credit negotiation between a bank and firms with varying levels of impatience. In equilibrium, impatient firms accept the bank’s offer immediately, while patient firms wait and negotiate price adjustments. I test the empirical predictions using a hand-collected dataset on credit line negotiations. Firms signing the bank’s offer right away draw down their line of credit after origination and default more than late signers. Late signers negotiate price adjustments more frequently, and, consistent with the model, these adjustments predict better ex post performance.