Explaining efficiency in municipal services providers

This paper considers the provision of some important municipal services and applies the non-parametric double bootstrap Simar and Wilson (J Econ 136(1):31–64, 2007) model based on a truncated-regression to estimate the effect of a group of relevant factors, which include the political sign of the governing party and the type of management, on robust DEA (Data Envelopment Analysis) estimates. Previous conditions, like separability, must hold for meaningful first- stage efficiency estimates and second-stage regression. After some confusion in the literature, Simar and Wilson (J Prod Anal 36(2):205–218, 2011b) clarify that their work of 2007 actually defines a statistical model where truncated (but not censored, i.e., Tobit, not Ordinary Least Square) regression yields a consistent estimation of model features. They demonstrate that conventional, likelihood-based approaches to inference are invalid, and they develop a bootstrap approach that yields valid inference in second stage regressions when these are appropriate. The results reveal a significant relation between efficiency and all the variables analysed and that municipalities governed by progressive parties are more efficient.     

Asymmetric Price Effects of Competition

When price dispersion is prevalent, a relevant question is what happens to the whole distribution of equilibrium prices when the number of firms changes. Using data from the gasoline market in the Netherlands, we find, first, that markets with N competitors have price distributions that first‐order stochastically dominate the price distributions in markets with N+1 firms. Second, the effect of competition is stronger for the medium to upper percentiles of the price distribution. Finally, consumer gains from competition are larger for relatively well‐informed consumers. To account for these empirical patterns, we extend Varian's [1980] model by allowing for richer heterogeneity in consumer price information.     

THE CHOICE OF MODEL IN THE CONSTRUCTION OF INDUSTRY COEFFICIENTS MATRICES

Kop Jansen and ten Raa's (1990) characterization of product-by-product input–output tables was adopted by the United Nations (1993). Recent OECD and several EU funded projects, however, used industry-by-industry tables, which raises comparable issues concerning their construction. We show how their two main construction models are instances of the transfer principle, with alternative assumptions on the variation of input–output coefficients across product markets. We augment the theory by formulating desirable properties for industry tables and investigate the so-called fixed product and fixed industry sales structure models, which are used by statistical institutes. The fixed industry sales structure model is shown to be superior from an axiomatic point of view.     

Durbin’s random substitution and conditional Monte Carlo

Durbin (Biometrika 48:41–55, 1961) proposed a method called random substitution, by which a composite problem of goodness-of-fit can be reduced to a simple one. In this paper we provide a method of finding the p-value of any test statistic, for a composite goodness-of-fit problem, based on the simulation of a large number of conditional samples, using an analog of Durbin’s proposal in a reverse-type application. We analyze a Bayesian chi-square test proposed in Johnson (Ann Stat 32:2361–2384, 2004) which relies on a single randomization and relate it with Durbin’s original method. We also review a related proposal for conditional Monte-Carlo simulation in Lindqvist and Taraldsen (Biometrika 92:451–464, 2005) and compare it with our procedure. We show our method in a non-group example introduced in Lindqvist and Taraldsen (Biometrika 90:489–490, 2003).     

The determinants of cognitive and non-cognitive educational outcomes: empirical evidence in Spain using a Bayesian approach

This article aims to extend the literature about the role played by socio-economic and family background in educational outcomes by comparing the determinants of two different dimensions of educational output: academic achievement and non-cognitive traits. To do this, we explore the information provided by a self-report survey developed specifically for the purpose of this research. This will provide us with an innovative measure of non-cognitive performance based on particular personal traits, such as responsibility, effort, motivation and critical capacity, as well as a common measure of cognitive proficiency. We use a Bayesian approach to estimate the potential influence of multiple individual and family variables on both dimensions of educational output. From our results, we find that, despite some similarities, there are several important divergences with regard to some socio-economic variables that have been traditionally considered to be the most influential determinants of academic achievement which do not appear to have a significant impact on non-cognitive outcomes.     

More equal but not so fair: an analysis of Brazilian income distribution from 1995 to 2009

This study measures unfair inequality in Brazil between 1995 and 2009. To achieve that, we used the statistical tool developed by Almås et al. (J Public Econ 95:488–499, 2011) and the concept of “responsibility-sensitive” fairness proposed by Bossert (Math Soc Sci 29:1–17, 1995), Konow (J Econ Behav Organ 31(1):13–35, 1996) and Cappelen and Tungodden (Fairness and the proportionality principle, Discussion paper SAM 31/2007. Norwegian School of Economics and Business Administration, 2007). The results indicate that the fairness level in Brazil remained unchanged throughout the analyzed period.     

How collateral laws shape lending and sectoral activity

We demonstrate the central importance of creditors’ ability to use movable assets as collateral (as distinct from immovable real estate) when borrowing from banks. Using a unique cross-country micro-level loan data set containing loan-to-value ratios for different assets, we find that loan-to-values of loans collateralized with movable assets are lower in countries with weak collateral laws, relative to immovable assets, and that lending is biased toward the use of immovable assets. Using sector-level data, we find that weak movable collateral laws create distortions in the allocation of resources that favor immovable-based production and investment. An analysis of Slovakia's collateral law reform confirms our findings.     

Differential uncertainties and risk attitudes between conventional and organic producers: the case of Spanish arable crop farmers

The growing importance of economic factors in farmers' decisions to go organic has raised interest in characterizing the economic behavior of organic versus conventional farms. In general, published analyses so far have not considered differential uncertainties, abilities to control production risk, and farmers' risk preferences between conventional and organic practices when comparing these techniques. Our article attempts to assess this issue. We use a model of farmer decision under risk to analyze the differential values between organic and conventional Spanish arable crop farms and to assess the incentives for adoption of organic practices. Results show that organic and conventional farms do have different production risks as well as different aversions to risk. Organic price premiums and subsidies are found to be powerful instruments to motivate adoption of organic techniques.     

The Effects of Extrinsic Cues on Olive Oil Price in Brazil

Over the past two decades, world olive oil consumption registered an impressive growth. Although olive oil consumption remains concentrated in the main producer countries surrounding the Mediterranean Sea (“traditional” markets), it is also growing rapidly in many other countries all over the world, where olive oil is still largely perceived as a novelty food (“nontraditional” markets). This study focuses on the Brazilian market of olive oil, which is one of the most important nontraditional markets in terms of both its dimension and growth rates. A hedonic price model has been used to evaluate whether, and to what extent, extrinsic cues impact on the retail price of olive oil. Data were collected via direct observation of several e-shops where Brazilian consumers could purchase olive oil. Results show that the retail price of olive oil is highly influenced by extrinsic cues such as branding, labeling, and packaging.     

Integrating spatial dependence into Stochastic Frontier Analysis

An approach to incorporate spatial dependence into stochastic frontier analysis is developed and applied to a sample of 215 dairy farms in England and Wales. A number of alternative specifications for the spatial weight matrix are used to analyse the effect of these on the estimation of spatial dependence. Estimation is conducted using a Bayesian approach and results indicate that spatial dependence is present when explaining technical inefficiency.