Agglomeration and fair wages

Abstract.  This paper implements a fair wage constraint into an analytically tractable core-periphery agglomeration model. This enables us to study the role of imperfect labour markets for the pattern of agglomeration. In the short run, a marginal increase in fair wage preferences leads to an unambiguous compression of the national factor price differential between skilled and unskilled labour, involving an increase in the unemployment rate of unskilled workers. In the long run, this mechanism renders full dispersion of an unstable equilibrium already at higher trade costs than in perfect labour markets. There is a tendency for fair wage preferences to enforce agglomeration.     

THE REDISTRIBUTIVE IMPACT OF ALTERNATIVE INCOME MAINTENANCE SCHEMES: A MICROSIMULATION STUDY USING SWISS DATA

Taking a benchmark scenario, the current situation in Switzerland, and using a microsimulation technique, we compare the effectiveness of various income maintenance schemes for reducing inequality and poverty. A full negative income tax allowance designed to eliminate poverty is shown to reduce income inequality most drastically. An integrated federal linear tax rate of 62 percent is required to make it viable. Aggregate work hours are reduced by approximately 10 percent and average disposable income falls by 9.3 percent under such circumstances. A participation income restricted to adults in employment and covering 50 percent of subsistence costs is however shown to result in an unambiguous social welfare improvement over the current situation in Switzerland.     

Changing of the guards: New coaches in Austria’s premier football league

Professional team sports provide an ideal real world experiment to explore the effect of top executive replacement due to the availability of excellent performance data. This paper investigates how replacing the coach affects the performance of football teams. Analyzing almost 2,000 matches of the Austrian premier football league by ordinal (probit) regression techniques we find that a new coach tends to enhance team performance in home matches but to weaken it in away matches. However, neither of these effects turns out to be statistically significant. Nevertheless, the much discussed coach effect—ousting an underperforming coach in order to improve team performance at least temporarily—may make sense despite the costs involved by providing stronger ex-ante incentives for effort.

Spatial targeting of payments for environmental services: A tool for boosting conservation benefits

Payments for environmental services (PES) have become an increasingly popular market-based instrument to translate external, non-market environmental services into financial incentives for landowners to preserve the ecosystems that provide the services. However, lack of spatial differentiation in the targeting mechanism may lead to efficiency losses. Addressing this challenge, we construct an applied site selection tool, which takes into account three variables that vary in space: environmental services provided, risks of losing those services, and participation costs. Using data from Costa Rica's Nicoya Peninsula, we empirically test the tool's potential to increase the financial efficiency of the forest-focused PES program in place. Results show that, given a fixed budget, efficiency increases radically if per hectare payments are aligned to landowners' heterogeneity in participation costs, involving opportunity, transaction and direct costs of protection, respectively. Selecting sites based on environmental service potential also moderately increases efficiency. Overall additionality could in the best case be doubled, but remains generally limited due to current low deforestation risks prevailing in Costa Rica. To take advantage of the high efficiency potentials of flexible payments, we propose inverse auction systems as a cost-effective approach for the determination of micro-level participation costs.     

IMF’s assistance: Devil’s kiss or guardian angel?

This paper contributes to the debate on the efficacy of IMF’s catalytic finance in preventing financial crises. Extending Morris and Shin (J Int Econ 70: 161–177, 2006), we consider that the IMF’s intervention policy usually exerts a signaling effect on private creditors and that several interventions in sequence may be necessary to avert an impending crisis. Without the IMF’s signaling ability, our results state that repeated intervention is required to bail out a country, whereby additional assistance may induce moral hazard on the debtor side. Contrarily, if the IMF exerts a strong signaling effect, one single intervention suffices to avoid liquidity crises.      

The Icahn Manifesto

The title of this opening chapter in the author's new book on activist investors refers to Carl Icahn's solution to the “agency” problem faced by the shareholders of public companies in motivating corporate managers and boards to maximize firm value. During the 1960s and '70s, U.S. public companies tended to be run in ways designed to increase their size while minimizing their financial risk, with heavy emphasis on corporate diversification. Icahn successfully challenged corporate managers throughout the 1970s and 1980s by buying blocks of shares in companies he believed were undervalued and then demanding board seats and other changes in corporate governance and management. This article describes the evolution of Icahn as an investor. Starting by investing in undervalued, closed‐end mutual funds and then shorting shares of the stocks in the underlying portfolio, Icahn was able to get fund managers either to liquidate their funds (giving Icahn an arbitrage profit on his long mutual fund/short underlying stocks position) or take other steps to eliminate the “value gap.” After closing the value gaps within the limited universe of closed‐end mutual funds, Icahn turned his attention to the shares of companies trading for less than his perception of the value of their assets. As the author goes on to point out, the strategy that Icahn used with such powerful effect can be traced to the influence of the great value investor Benjamin Graham. Graham was a forceful advocate for the use of shareholder activism to bring about change in underperforming—and in that sense undervalued—companies. The first edition of Graham's investing classic, Security Analysis, published in 1934, devoted an entire chapter to the relationship between shareholders and management, which Graham described as “one of the strangest phenomena of American finance.”     

Choosing and using payment instruments: evidence from German microdata

Germans are still very fond of using cash. Of all direct payments transactions in 2008, cash accounted for an astounding 82 % in terms of number and for 58 % in terms of value. With a dataset that combines transaction information with survey data on payment behaviour of German consumers, we shed light on how individuals decide on their cash usage. We employ a two-stage empirical framework which jointly explains payment card ownership and the use of cash. Our results indicate that cash usage is compatible with systematic economic decision making. Consumers decide on the adoption of payment cards and then use available payment media according to transaction characteristics, the relative costs of cash and card usage, socio-demographic characteristics and their assessment of payment instruments’ characteristics. Importantly, older consumers use significantly more cash than younger consumers. We show that this difference in payment behaviour is not attributable to age as such but largely to differences in the characteristics of older and younger consumers. This suggests that the high cash intensity of older consumers cannot fully be attributed to the role of habit or to their slow adoption to new payment technologies.     

Energy Consumption and Bitcoin Market

Asia-Pacific Financial Markets - This paper is the first empirical paper to study the relationship between Bitcoin energy consumption and its market. Using the variance decompositions in...     

Interpretable machine learning for real estate market analysis

Machine Learning (ML) excels at most predictive tasks but its complex nonparametric structure renders it less useful for inference and out-of sample predictions. This article aims to elucidate and enhance the analytical capabilities of ML in real estate through Interpretable ML (IML). Specifically, we compare a hedonic ML approach to a set of model-agnostic interpretation methods. Our results suggest that IML methods permit a peek into the black box of algorithmic decision making by showing the web of associative relationships between variables in greater resolution. In our empirical applications, we confirm that size and age are the most important rent drivers. Further analysis reveals that certain bundles of hedonic characteristics, such as large apartments in historic buildings with balconies located in affluent neighborhoods, attract higher rents than adding up the contributions of each hedonic characteristic. Building age is shown to exhibit a U-shaped pattern in that both the youngest and oldest buildings attract the highest rents. Besides revealing valuable distance decay functions for spatial variables, IML methods are also able to visualise how the strength and interactions of hedonic characteristics change over time, which investors could use to determine the types of assets that perform best at any given stage of the real estate investment cycle.     

The Role of Non-Binding Pledges in Social Dilemmas with Mitigation and Adaptation

Environmental and Resource Economics - This study presents experimental results on the role that non-binding pledges have on the ability of groups to manage a threat of probabilistic group damages...