Mutual fund insurance

During the 1970's, mutual fund insurance was sold in the U.S. by the Harleysville and Prudential Insurance Companies. This paper examines the valuation and demand for this insurance. It illustrates that because of its design, for many plausible combinations of model parameters, a competitive premium need not exist for the Harleysville contract. A competitive premium will always exist for the Prudential policy, however the value is directly related to the age of the purchaser. Harleysville charged the same premium to all funds and therefore was subject to adverse selection. Evidence of this effect is provided by illustrating that the demand for the insurance was directly related to its competitive market value.     

Interstate switched access demand analysis

The breakup of the Bell System in 1984 led to the adoption by the Federal Communications Commission of a system of tariff charges that are paid to local exchange carriers by business and residential telephone subscribers, and interexchange carriers such as AT&T. These charges are designed to recover the costs associated with providing access to the public switched network to complete interstate calls. This system is known as the FCC Access Charge Plan. Flat-rate fees, named Subscriber Line Charges, are imposed on telephone subscribers, while usage-based charges are billed to interexchange carriers. These are called Carrier Common Line and Traffic Sensitive rates. Since CCL and TS rates are based on network usage, forecasts of switched access demand are required to set them properly.This paper presents an econometric model of interstate switched access demand developed and utilized by AT&T to produce forecasts of 1988 demand in connection with the Annual 1988 Access Tariff Filings. The model is estimated in a state-level pooled cross-sectional time-series framework, with dynamics introduced via polynomial distributed lags on price and income. It represents an extension of the econometric demand model developed and used by the FCC a year earlier to determine a reasonable forecast of 1987 Carrier Common Line switched access demand. Estimated demand elasticities and forecasts are provided. The model forecasts are also compared to those from other models.     

Stochastic generalizations of demand systems with an application to telecommunications

Systems of demand equations are considered for at least two reasons. First, they offer a theoretical completeness, and second, they embody a number of restrictions which lead to a more parsimonious specification concerning the number of parameters. As it turns out, the quantity and quality of the data are often such that the demand systems considered are not restrictive enough in the sense that large numbers of parameters still remain which cannot be estimated with ‘great precision’. Paradoxically, the restrictions that are considered are often rejected by the data.In this paper we propose a system of random coefficient telecommunications demand equations in a panel data framework. These equations correspond to alternative ways (which have different costs) of placing a call. The system is formulated in such a way that it incorporates the homogeneity condition, as well as stochastic versions of the symmetry and weak separability restrictions. The stochastic versions are given in terms of moments and so they do not have to hold in each individual case. Under certain conditions they reduce to their deterministic counterparts. Finally, we empirically implement the model and compare the results to what they would be in a corresponding deterministic framework.     

Factors Affecting Farmers’ Participation in Agri‐environmental Measures: A Northern Italian Perspective

Agri‐environmental measures play an important role in Italian rural areas, as shown by the financial commitment to the Rural Development programmes. However, in contrast with other European Union (EU) countries, policy‐makers still have limited experience on how farmers approach environmental incentive schemes. This paper casts new light on this issue from a northern Italian perspective. The rationale of the farmers’ decision‐making process is explored using two multinomial models. The first explains the probability of non‐participation or participation in one of three specific agri‐environmental measures. The model outcomes show that labour‐intensive farming types and high dependency of household income on farming activity constrain farmers’ participation, whereas previous experience, easy‐to‐implement environmentally friendly farm practices and adequate compensation of extra costs encourage participation. The second model explores the effect of farmers’ attitudes and beliefs on their predispositions towards participation in any of the schemes. The results highlight that, besides income factors, the farm's future in the business, and the relationship with neighbouring farmers and their opinions on environmentally friendly practices all have significant effects on adoption of agri‐environmental measures. The paper concludes by suggesting that farmers’ attitudes and beliefs, as well as the local behavioural influences, have to be taken into account when designing and communicating agri‐environmental measures.     

Full-Time and Part-Time Work and the Gender Wage Gap

Using hourly and weekly wages from the Canadian Labour Force Survey from 2000 until 2018, workers were separated into full-time and part-time and the following striking observation was documented. The overall gender wage gap is larger than either the full-time pay gap or the part-time pay gap, even after controlling for detailed personal and job characteristics. This result is a consequence of two findings: (i) part-time wages are lower than full-time wages, and (ii) the majority of part-time workers are women. In aggregation, this brings down the average female wage, leading to a larger aggregate gender wage gap. This was further linked to a differential selection by gender into full-time and part-time work, with women of higher earnings potential being overrepresented in the pool of part-time workers, resulting in no gender pay gap in the part-time worker category. Policies targeted at encouraging full-time employment for women should therefore reduce the gender wage gap.

     

Labor productivity growth: disentangling technology and capital accumulation

How much of the convergence in labor productivity that we observe in manufacturing is due to convergence in technology versus convergence in capital-labor ratios? To shed light on this question, we introduce a nonparametric counterfactual decomposition of labor productivity growth into growth of the capital-labor ratio (K/L), technological productivity (TEP) and total factor productivity (TFP). Our nonparametric specification enables us to model technology allowing for heterogeneity across all relevant dimensions (i.e. countries, sectors and time). Using data spanning from the 1960s to the 2000s, covering 42 OECD and non OECD countries across 11 manufacturing sectors, we find TEP and TFP to account for roughly 46 and ?6% of labor productivity growth respectively, on average. While technological growth at the world level is driven primarily by the US and a handful of other OECD countries, we find strong evidence of convergence in both technology and capital-labor ratios. Interestingly, very few of the usual growth determinants are found to enhance the process of technological catching-up.     

Multivariate saddlepoint tests on the mean direction of the von Mises–Fisher distribution

This article provides P values for two new tests on the mean direction of the von Mises–Fisher distribution. The test statistics are obtained from the exponent of the saddlepoint approximation to the density of M-estimators, as suggested by Robinson et al. (Ann Stat 31:1154–1169, 2003). These test statistics are chi-square distributed with asymptotically small relative errors. Despite the high dimensionality of the problem, the proposed P values are accurate and simple to compute. The numerical precision of the P values of the new tests is illustrated by some simulation studies.     

MEASURING PRODUCTIVITY

Abstract Quantifying productivity is a conditio sine qua non for empirical analysis in a number of research fields. The identification of the measure that best fits with the specific goals, as well as being data driven, is currently complicated by the fact that an array of methodologies is available. This paper provides economic researchers with an up‐to‐date overview of issues and relevant solutions associated with this choice. Methods of productivity measurement are surveyed and classified according to three main criteria: (i) macro/micro; (ii) frontier/non‐frontier and (iii) deterministic/econometric.     

Panel data and descriptor for energy econometrics – an efficiency,resilience and innovation analysis

Quality & Quantity - The work at hand presents a new extensive panel dataset for energy economics, econometrics and policy. The referred dataset is made of 5000 observations circa, including 6...