AN EMPIRICAL ANALYSIS OF CHILD CARE DEMAND IN SWITZERLAND

ABSTRACT ** :  This paper analyzes the demand of Swiss families for child care facilities. A choice experiment is used to study the effects of the facilities' characteristics as well as socio-economic factors on the selected child care mode. The experimental data are analyzed using a discrete choice model with multinomial logit specification. The results suggest that the demand for extra-familial day care could be considerably higher than that observed from the actual choices constrained by insufficient provision of affordable day care. The price, access, and the quality of service as well as parents' income and education have important impacts on the choice of the mode of care.     

Exclusive Dealing: Investment Promotion May Facilitate Inefficient Foreclosure

This paper studies a model whereby exclusive dealing (ED) can both promote investment and foreclose a more efficient supplier. Since ED promotes the incumbent seller's investment, the seller and the buyer realize a greater surplus from bilateral trade under exclusivity. Hence, the parties involved may sign an ED contract that excludes a more efficient entrant in circumstances where ED would not arise absent investment. The paper therefore invites a more cautious attitude towards accepting possible investment promotion arguments as a defense for ED.     

Acquisition of Information and Share Prices: An Empirical Investigation of Cognitive Dissonance

Abstract. This paper deals with the determinants of agents' acquisition of information. Our econometric evidence shows that the general index of Italian share‐prices and the series of Italy's financial newspaper sales are cointegrated, and the former series Granger‐causes the latter, thereby giving support to the cognitive dissonance hypothesis: (non‐professional) agents tend to buy the newspaper when share prices are high and not to buy it when share prices are low. Instead, we do not find support for the hypothesis that the agents acquire information in order to trade in the stock market: we find no relationship between quantities exchanged in the market and newspaper sales, nor between stock market volatility and newspaper sales.     

Time and Risk Diversification in Real Estate Investments: Assessing the Ex Post Economic Value

Welfare gains to long-horizon investors may derive from time diversification that exploits nonzero intertemporal return correlations associated with predictable returns. Real estate may thus become more desirable if its returns are negatively serially correlated. While it could be important for long-horizon investors, time diversification has been mostly investigated in asset menus without real estate and focusing on in-sample experiments. This article evaluates, ex post, the out-of-sample gains from diversification when equity real estate investment trusts (REITs) belong to the investment opportunity set. We find that diversification into REITs increases both the Sharpe ratio and the certainty equivalent of wealth for all investment horizons and for both classical and Bayesian (who account for parameter uncertainty) investors. The increases in Sharpe ratios are often statistically significant. However, the out-of-sample average Sharpe ratio and realized expected utility of long-horizon portfolios are frequently lower than that of a one-period portfolio, which casts doubt on the value of time diversification.     

ECONOMIES OF SCALE AND SCOPE IN POSTAL OUTLETS UNDER CONSIDERATION OF UNOBSERVED HETEROGENEITY

ABSTRACT: We analyze economies of scale and scope in Swiss Post's post offices and franchised postal agencies under consideration of different underlying production technologies and unobserved factors using a latent class model. The results confirm the existence of unobserved heterogeneity and of increasing economies of scale and scope in the Swiss Post's outlet network.     

Modeling hard and soft facts for SMEs: Some international evidence

This paper asks how well the use of quantitative and qualitative variables can improve the assessment of companies' creditworthiness and how this result can be influenced by the economic and financial peculiarities of countries. We harden qualitative variable measures to model soft information aimed at scoring microfirms, small, and medium‐sized firms. The structural survey covers Germany, Italy, and the UK in a sample of about 17 thousand companies observed during the financial crisis. Soft facts are determined within the balanced scorecard framework in order to find out the impact of customers, business processes, learning and growth, and financial perspectives. Our findings show that credit models integrating soft variables optimize the risk estimation, but estimates are country‐specific and should be tailored to the characteristics of each economic system.     

Alternative econometric implementations of multi-factor models of the U.S. financial markets

This paper analyzes the empirical performance of two alternative ways in which multi-factor models with time-varying risk exposures and premia may be estimated. The first method echoes the seminal two-pass approach introduced by Fama and MacBeth (1973). The second approach is based on a Bayesian latent mixture model with breaks in risk exposures and idiosyncratic volatility. Our application to monthly, 1980–2010 U.S. data on stock, bond, and publicly traded real estate returns shows that the classical, two-stage approach that relies on a nonparametric, rolling window estimation of time-varying betas yields results that are unreasonable. There is evidence that most portfolios of stocks, bonds, and REITs have been grossly over-priced. On the contrary, the Bayesian approach yields sensible results and a few factor risk premia are precisely estimated with a plausible sign. Predictive log-likelihood scores indicate that discrete breaks in both risk exposures and variances are required to fit the data.     

Global networks of trade and bits

Considerable efforts have been made in recent years to produce detailed topologies of the Internet, but so far these data have been overlooked by economists. In this paper, we suggest that such information could be used to characterize both the size of the digital economy and outsourcing at country level. We analyse the topological structure of the network of trade in digital services (trade in bits) and compare it with the more traditional flow of manufactured goods across countries. To perform meaningful comparisons across networks with different characteristics, we define a stochastic benchmark for the number of connections among each country-pair, based on hypergeometric distribution. Original data are filtered so that we only focus on the strongest, i.e. statistically significant, links. We find that trade in bits displays a sparser and less hierarchical network structure, which is more similar to trade in high-skill manufactured goods than total trade. Moreover, distance plays a more prominent role in shaping the network of international trade in physical goods than trade in digital services.     

Investments in worker health and production: Evidence from Vietnam

In manufacturing industries, occupational health and safety measures ensure better working conditions for employees, which may influence their productivity. We study the impact of investments undertaken by small and medium enterprises in Vietnam in mitigating indoor pollution (including air quality improvements, heat and noise protection as well as lighting) on firm-level gross output and value added. We find that the amount invested by the firm in health has a significant positive effect on both outcomes. Given historically poor working conditions in Vietnam, policy implications relate to incentivizing and enabling firms to undertake such investments, on both moral and economic grounds.