Social Learning in Beauty‐Contest Games

We study the impact of social learning on the depth of reasoning in an experimental beauty‐contest game. Naive advice and observation of others' decisions as two forms of social learning trigger faster convergence to the equilibrium. We find that subjects who receive advice outperform uninformed subjects permanently, whereas subjects who observe others' past behavior before making their decision only have a temporary advantage over uninformed subjects. A series of control‐treatments and simulations indicate that the latter result is due to subjects failing to make the most out of observing others.     

Marcos M. López de Prado: Machine learning for asset managers

Financial Markets and Portfolio Management -     

Market Liberalization,Regulatory Uncertainty,and Firm Investment

This paper analyzes the effects of regulatory uncertainty regarding labor costs on investment in a liberalized market. We distinguish between the external investment margin (market entry) and the internal investment margin (technology), and establish that regulatory uncertainty affects these margins differently, encouraging market entry, but discouraging technological investment. As a consequence, the impact of regulatory uncertainty on competition in liberalized markets is a combination of these two countervailing forces.     

A Test of Strategic Trade Policy in the Semiconductor Industry: The Impact of Japanese Policy on U.S. Firms

This paper analyzes a multinational corporation that may use tax evasion and profit shifting as a means to minimize tax liabilities. Our main finding is that profit shifting may occur even when tax rates are the same across countries. This will be the case whenever there is a tax differential in effective tax rates resulting from differences in tax enforcement. In this context, profit shifting occurs to enable tax evasion in a country where tax enforcement is less harsh. Moreover, for a given differential in tax rates, differences in tax enforcement may either accentuate or dampen profit shifting. Importantly, the predictions regarding the direction of profit shifting that would result in our set-up may contrast sharply with those of the preceding literature.     

NAIRU Estimates for Germany: New Evidence on the Inflation–Unemployment Tradeoff

Meaningful estimates of the non‐accelerating inflation rate of unemployment (NAIRU) within a Phillips curve framework require an identified tradeoff between inflation and unemployment. However, observations of inflation and unemployment are equilibrium points giving rise to a simultaneity problem. We assess conventional identifying assumptions in the literature on the German NAIRU in a general bi‐variate equations system of inflation and unemplyoment. We use a data‐driven method for identification based on shifts in the relative volatility of shocks to unemployment and inflation to identify the tradeoff for Germany. Our results support models which estimate a contemporaneous effect of unemployment on inflation and those which model inflation and unemployment jointly.     

Correcting for the Missing Rich: An Application to Wealth Survey Data

It is a well‐known criticism that if the distribution of wealth is highly concentrated, survey data are hardly reliable when it comes to analyzing the richest parts of society. This paper addresses this criticism by providing a general rationale of the underlying methodological problem as well as by proposing a specific methodological approach tailored to correcting the arising bias. We illustrate the latter approach by using Austrian data from the Household Finance and Consumption Survey. Specifically, we identify suitable parameter combinations by using a series of maximum‐likelihood estimates and appropriate goodness‐of‐fit tests to avoid arbitrariness with respect to the fitting of the Pareto distribution. Our results suggest that the alleged non‐observation bias is considerable, accounting for about one quarter of total net wealth in the case of Austria. The method developed in this paper can easily be applied to other countries where survey data on wealth are available.     

How to invest over the life cycle: Insights from theory

We analyse the state of the art in the field of life cycle portfolio choice, a recent strand of the literature on intertemporal portfolio selection. Life cycle models are designed to identify optimal savings and portfolio policies over the lifetime of investors. They can help to improve pension schemes by showing how these could be specifically tailored to the individual employee’s circumstances to overcome the ‘one-size-fits-all’ philosophy still prevailing in parts of the mandatory retirement savings system. To facilitate comparison, we first describe set-up, solution method and characteristic results for a basic model and then derive a general framework to classify existing contributions. We highlight the models’ strengths and weaknesses and assess their ability to resolve existing portfolio puzzles. Lessons from the literature are summarized and promising areas for further research identified. JEL classifications G11, D14, D91, H55     

Job Creation and Job Destruction in a Regulated Labor Market: The Case of Austria

We study Austrian job reallocation in the period of 1978 to 1998, using a large administrative dataset where we correct for spurious entries and exits of firms. We find that on average 9 out of 100 randomly selected jobs were created within the last year, and that about 9 out of randomly selected 100 jobs were destroyed within the next year. Hence, the magnitude of Austrian job flows seems to be comparable to other countries, similar to the well-known results of Davis et al. (1996) for the United States. Job reallocation appears to be driven primarily by idiosyncratic shocks. However, job creation increases significantly during cyclical upswings whereas job destruction rises in downturns. We also find substantial persistence of job creation and destruction. The pronounced pattern of job reallocation rates falling with firm size and age continues to hold when we use a set of controls. Finally, we show that – controlling for sector and firm size composition – Austrian job reallocation rates are only half the rates for the U.S. This result is not surprising given the impact of tighter regulation and labor law in Austria.     

Do Foreign Firms Transfer Gender Norms in the Labour Market? Evidence from Sub-Saharan Africa

Closing the gender gaps in economic opportunities is crucial for boosting economic growth and the empowerment of women. In this paper, we study how foreign firms contribute in reducing gender disparities in the labour market by transferring the gender norms of their country of origin to the affiliates in the host countries. We use cross sectional data on foreign firms located in 19 Sub Saharan Africa countries in 2010 by UNIDO. We find that firms coming from more gender equal countries employ more female workers in their affiliates. This effect is more relevant for the highly skilled female workers.     

On the power of indicators: how the choice of fuel poverty indicator affects the identification of the target population

In light of the creation of the EU Energy Poverty Observatory (EPOV) in January 2018 and the increase in debates on how fuel poverty is measured, we propose a critical analysis of fuel poverty indicators and demonstrate that choosing a given indicator is central to the identification of the fuel-poorpopulation.

First, we conducted an inter-indicator analysis to show how profiles of fuel-poor households vary depending on the indicator selected. We designed a multidimensional approach based on a multiple correspondence analysis and a hierarchical and partitioning clustering analysis to study characteristics of fuel-poor households. We highlight the difficulty of identifying a fuel-poor ‘typical profile’ and show that the composition of the population depends on the choice of the indicator.

Second, we applied an intra-indicator analysis using two objective expenditure-based indicators with thresholds. In particular, we conducted a sensitivity analysis based on a logit model including variables describing household and dwelling characteristics. We show that the profiles of fuel-poor households as well as the drivers of fuel poverty vary considerably with the chosen threshold level.Given these findings, we stress the need to review how we currently rely on conventional fuel poverty indicators to identify target groups and give some recommendations.