Conditional-logit Bayes estimators for consumer valuation of electric vehicle driving range

Range anxiety – consumers’ concerns about limited driving range – is generally considered an important barrier to the adoption of electric vehicles. If consumers cannot overcome these fears it is unlikely that they will consider purchasing an electric car. Hence, a successful introduction of low emission vehicles in the market requires a full understanding of consumer valuation of driving range. By analyzing experimental data on vehicle purchase decisions in California, I derive and study the statistical behavior of Bayes estimates that summarize consumer concerns toward limited driving range. These estimates are superior to marginal utilities as parameters of interest in a discrete demand model of vehicle choice. One of the empirical results is the posterior distribution of the willingness to pay for electric vehicles with improved batteries offering better driving range. Credible intervals for this willingness to pay, as well as both parametric and nonparametric heterogeneity distributions, are also analyzed.     

Taxes,Risk Aversion,and the Size of the Underground Economy

Non‐parametric regression analysis was used to investigate the relationship between the effective tax rate and the relative size of the underground economy, using New Zealand data. The underlying theoretical framework is established, and it suggests an ambiguous prediction regarding the sign of the relationship we are studying. However, our non‐parametric empirical analysis, which also allows for the non‐stationarity of the time‐series data, produces a positive and ‘S‐shaped’ relationship, and this supports earlier empirical studies that imposed such functional forms. The estimated model is used to simulate the effects of hypothetical tax changes on the size of the New Zealand underground economy, and to draw policy conclusions.     

NEW MICROFOUNDATIONS FOR THE AGGREGATE MATCHING FUNCTION*

Empirical studies of the aggregate labor market matching function have favored a Cobb–Douglas functional form, for which there are no microfoundations in the existing literature. I present a new model for the matching process, based on a “telephone‐line” Poisson queuing process, which, unlike other microeconomic approaches, can be integrated directly into standard theoretical search models. This implies a CES matching function, approximately Cobb–Douglas when search costs are approximately linear. The model allows empirical estimates of matching function parameters to be interpreted in terms of the costs and benefits of search.     

A latent dynamic factor approach to forecasting multivariate stock market volatility

This paper proposes a latent dynamic factor model for high-dimensional realized covariance matrices of stock returns. The approach is based on the matrix logarithm and combines common latent factors driven by HAR processes and idiosyncratic autoregressive dynamics. The model accounts for positive definiteness of covariance matrices without imposing parametric restrictions. Simulated Bayesian parameter estimates are obtained using basic Markov chain Monte Carlo methods. An empirical application to 5-dimensional and 30-dimensional realized covariance matrices shows remarkably good forecasting results, in-sample and out-of-sample.     

Factors explaining inter-municipal cooperation in service delivery: a meta-regression analysis

Inter-municipal cooperation is an important public service delivery reform, whose drivers move beyond simple concerns with costs and economic efficiency, to policy issues related to governance structure and spatial context. We conduct a meta-regression analysis based on the existing multivariate empirical literature to explore what factors explain divergence in results in the existing empirical studies. We find strong evidence that fiscal constraints, spatial, and organizational factors are significant drivers of cooperation. Our meta-regressions do not yield results to explain divergence in results on community wealth, economies of scale, or racial homogeneity. More studies on these factors are needed to understand how these factors might affect cooperation. Future theoretical and empirical research should give more attention to spatial and organizational factors to develop a better understanding of factors driving cooperation, and how they differ across local government structures and regions.     

Estimating Coaching Efficiency in Professional Team Sports: Evidence from English Association Football

This study provides a review of the literature on sporting production functions with an emphasis on different input‐output specifications and alternative estimation procedures. Empirical evidence is reported for English association football on the robustness of estimates of coaching efficiency to changes in estimation methods and the definition of team performance and playing talent inputs. A measure of player quality based on predicted start‐of‐season transfer values is developed. It is found that the estimation of coaching efficiency is sensitive to the choice of time‐invariant efficiency models versus time‐varying and inefficiency effects models. It is also found that the results are little affected by different measures of team performance but are highly sensitive to the use of an ex post financial expenditure input measure. Ex ante input measures based on start‐of‐season player characteristics or predicted transfer values are recommended as more appropriate on both theoretical and empirical grounds.     

Applications of robust estimation techniques in demand analysis

Estimates are presented of the demand for tobacco in Italy in the context of a demand system approach. The grouping of goods is based on Varian's non-parametric test for weak separability. The parametric demand model is Banks, Blundell and Lewbel's QUAIDS model, which combines the empirical flexibility of quadratic logarithmic Engel curves with integrability. Estimation is by iterative GMM procedure. The estimates are used in an analysis of welfare-improving tax reforms which incorporates distributional data. The results are discussed with respect to the special features of the Italian tobacco market.     

Dynamic Efficiency with Learning by Doing

This article focuses on the measurement of economic efficiency of firms in an industry in a dynamic framework, where R&D investments and learning experience play critical roles. Dynamic aspects of cost and production efficiency and the impact of capital through learning by doing are developed here in semiparametric forms. The production and cost frontiers estimated here for the US computer industry over the period 1987–98 are robust in the sense that no specific functional form need be assumed. The empirical estimates measure the pattern of level and growth efficiency in the computer industry, which has undergone rapid changes in recent years.     

Efficiency in banking: a meta-regression analysis

One learns two main lessons from studying the great quantity of banking efficiency literature. These lessons regard the heterogeneity in results and the absence of a comprehensive review aimed at understanding the reasons for this variability. Surprisingly, although this issue is well-known, it has not been systematically analyzed before. In order to fill this gap, we perform a Meta-Regression-Analysis (MRA) by examining 1661 efficiency scores retrieved from 120 papers published over the period 2000–2014. The meta-regression is estimated by using the Random Effects Multilevel Model (REML) because it controls for within- and between-study heterogeneity. The analysis yields four main results. First, parametric methods yield lower levels of banking efficiency than nonparametric studies. This holds true even after controlling for the approach used in selecting the inputs and outputs of the frontier. Secondly, we show that banking efficiency is highest when using the value-added approach, followed by estimates from studies based on the intermediation method, whereas those based on the hybrid approach are the lowest. Thirdly, efficiency scores are also determined by the quality of studies and the number of observations and variables used in the primary papers. As far as the effects of sample size, dimension and quality of papers are concerned, there are significant differences in sign and magnitude between parametric and nonparametric studies. Finally, cost efficiency is found to be higher than profit efficiency. Interestingly, MRA results are robust to the potential outliers in efficiency and sample size distributions.     

Substitution Between Private and Public Consumption in Australia*

Large increases in the private sector's savings ratio during a period of rapid growth in the relative size of the public sector has led to the suggestion that substitution between private and public consumption may be an important fcature of the Australian economy (Clements 1979). In this paper, empirical estimates are presented which indicate that no such substitution exists The estimates are derived from a theoretical model of consumption which is based on inter-temporal optimization in a stochastic environment. The estimates also suggest that private sector consumption behaviour is consistent with the joint hypothesis of rational expectations and Ricardian equivalence     

The rebound effect: Microeconomic definitions, limitations and extensions

The rebound effect results in part from an increased consumption of energy services following an improvement in the technical efficiency of delivering those services. This increased consumption offsets the energy savings that may otherwise be achieved. If the rebound effect is sufficiently large it may undermine the rationale for policy measures to encourage energy efficiency.The nature and magnitude of the rebound effect is the focus of long-running dispute with energy economics. This paper brings together previous theoretical work to provide a rigorous definition of the rebound effect, to clarify key conceptual issues and to highlight the potential consequences of various assumptions for empirical estimates of the effect. The focus is on the direct rebound effect for a single energy service — indirect and economy-wide rebound effects are not discussed.Beginning with Khazzoom's original definition of the rebound effect, we expose the limitations of three simplifying assumptions on which this definition is based. First, we argue that capital costs form an important part of the total cost of providing energy services and that empirical studies that estimate rebound effects from variations in energy prices are prone to bias. Second, we argue that energy efficiency should be treated as an endogenous variable and that empirical estimates of the rebound effect may need to apply a simultaneous equation model to capture the joint determination of key variables. Third, we explore the implications of the opportunity costs of time in the production of energy services and highlight the consequences for energy use of improved ‘time efficiency’, the influence of time costs on the rebound effect and the existence of a parallel rebound effect with respect to time. Each of these considerations serves to highlight the difficulties in obtaining reliable estimates of the rebound effect and the different factors that need to be controlled for. We discuss the implications of these findings for econometric studies and argue that several existing studies may overestimate the magnitude of the effect.     

The relationship between childhood obesity and food insecurity: a nonparametric analysis

Childhood obesity and food insecurity are major public health concerns in the United States and other developed countries. Research on the relationship between the two has provided mixed results across a variety of data sets and empirical methods. Common throughout this research, however, is the use of parametric frameworks for empirical analyses. This study moves beyond parametric methods by examining the relationship between childhood obesity and food insecurity among low-income children with nonparametric regression techniques. We examine data from the Child Development Supplement (CDS) of the Panel Study of Income Dynamics (PSID), a nationally representative data set from the US. Consistent with recent work, our parametric analyses indicate that there is no statistically significant relationship between childhood obesity and food insecurity. In contrast, our nonparametric results indicate that the probability of being obese varies markedly with the level of food insecurity being experienced by the child. Moreover, this relationship differs across relevant subgroups including those defined by gender, race/ethnicity and income. Fully understanding the relationship between childhood obesity and food insecurity has significant policy implications.     

Willingness to Pay and Sensitivity to Time Framing: A Theoretical Analysis and an Application on Car Safety

Stated preference (SP) surveys attempt to obtain monetary values for non-market goods that reflect individuals’ “true” preferences. Numerous empirical studies suggest that monetary values from SP studies are sensitive to survey design and so may not reflect respondents’ true preferences. This study examines the effect of time framing on respondents’ willingness to pay (WTP) for car safety. We explore how WTP per unit risk reduction depends on the time period over which respondents pay and face reduced risk in a theoretical model and by using data from a Swedish contingent valuation survey. Our theoretical model predicts the effect to be nontrivial in many scenarios used in empirical applications. In our empirical analysis we examine the sensitivity of WTP to an annual and a monthly scenario. Our theoretical model predicts the effect from the time framing to be negligible, but the empirical estimates from the annual scenario are about 70 % higher than estimates from the monthly scenario.     

Modeling of Income and Indicators of Poverty and Social Exclusion Using the Generalized Beta Distribution of the Second Kind

There are three reasons why estimation of parametric income distributions may be useful when empirical data and estimators are available: to stabilize estimation; to gain insight into the relationships between the characteristics of the theoretical distribution and a set of indicators, e.g. by sensitivity plots; and to deduce the whole distribution from known empirical indicators, when the raw data are not available. The European Union Statistics on Income and Living Conditions (EU‐SILC) survey is used to address these issues. In order to model the income distribution, we consider the generalized beta distribution of the second kind (GB2). A pseudo‐likelihood approach for fitting the distribution is considered, which takes into account the design features of the EU‐SILC survey. An ad‐hoc procedure for robustification of the sampling weights, which improves estimation, is presented. This method is compared to a non‐linear fit from the indicators. Variance estimation within a complex survey setting of the maximum pseudo‐likelihood estimates is done by linearization (a sandwich variance estimator), and a simplified formula for the sandwich variance, which accounts for clustering, is given. Performance of the fit and estimated indicators is evaluated graphically and numerically.     

Do we really understand the age–VSL relationship?

Proposals to apply lower values to risk reductions for older adults have drawn attention to the theoretical and empirical findings describing the relationship between the value of a statistical life (VSL) and age. While the theoretical results are ambiguous and the empirical results mixed, the conclusion that VSL declines with age seems to have gained a status close to one of a professional consensus. This paper questions this rush to consensus by raising analytical and empirical concerns. We focus on the way in which individuals perceive multiple mortality risks and present both analytical and empirical results that are inconsistent with VSL declining with age.     

城市群要素集聚对区域经济效率的增益效应——以哈长城市群为例

借鉴控制系统方法,阐释了城市群要素集聚合理化发展的一般过程,在此框架下提出了通过观测要素集聚程度对经济效率增益作用的方向和强度来判断要素集聚合理性的理论构想。运用DEAMalmquist指数模型,测算了2005—2014年黑龙江和吉林两省的经济效率变动情况,并以此经济效率为被解释变量,以哈长城市群的不同要素集聚程度为解释变量,利用状态空间模型估算了2005—2014年哈长城市群的不同要素集聚程度对其所在区域经济效率提高的增益作用的变化。实证结果充分证实了理论构想的正确性和可操作性。     

ECONOMIC MODELING AND THE FALSE TRADEOFF BETWEEN ENVIRONMENTAL PROTECTION AND ECONOMIC GROWTH

One important element of the current policy debate on what measures should be taken to reduce greenhouse gas emissions is the controversy over the costs of reducing those emissions. "Top-down" macroeconomic and general equilibrium models give much higher estimates of the costs than "bottom-up" models based on microeconomic and engineering data. This paper investigates the causes of the divergence between the two modeling approaches. The conventional top-down models incorporate strong implicit assumptions about maximization, technical progress, and organizational efficiency that predetermine their results. However, these assumptions are questionable on both theoretical and empirical grounds. Economic assessment of policy alternatives would benefit. from analyses that take account of the actual characteristics of business firms and other organizations that emit greenhouse gases in the course of their activities.     

央企高管的职业生涯关注与投资效率*——来自反腐风暴背景下的经验证据

投资效率低下是央企代理问题的一个突出表现。本文以2003-2014年间央企上市公司作为研究对象，探讨了：（1）央企高管职业生涯关注激励对央企投资效率的影响；（2）国家层面的外部监督能否对激励形成替代，缓解非效率投资行为。本文研究发现：央企高管的职业生涯关注激励减弱时，投资效率降低；反腐风暴削弱了激励减弱时的投资过度，但加剧了投资不足。本文对央企高管激励减弱时投资过度与投资不足的形成机理进行分析，为完善央企公司治理、平衡央企激励机制提供参考。     

An international study of persistence in output: Parametric estimates using the data dependent systems approach

This paper parametrically obtains estimates of persistence in output using Pandit's (1977, 1982) Data Dependent Systems approach for modelling autoregressive and moving average processes. The estimates are based on over a century of annual data for the rate of change of output in nine industrialized countries. The sensitivity of estimates to various model selection criteria is examined. While persistence in output is found to be sensitive to model selection criteria, the output of all countries including the United States is found to have a substantial degree of persistence if the ARMA models are chosen according to the Schwarz Bayesian Criterion, but excluding the ARMA models whose moving average roots are near the unit root (which involves pile-up phenomenon). Moreover, the parametric estimates of persistence are shown not to have the known upward bias problem commonly associated with parametric estimates of persistence relative to nonparametric estimates.     

Monetary Expressions of Labour Time and Market Prices: Theory and Evidence from China,Japan and Korea

This article presents estimates of labour values and prices of production following two approaches: the first is based on the classical and Marxian theory of value and distribution; the second on the so-called ‘new solution’ to the ‘transformation problem’ and its variant, the Temporary Single-System Interpretation (TSSI). The major advantage of the latter approach is its simplicity, along with the relatively low data requirements. Our empirical findings from the economies of China, Japan and South Korea suggest that both approaches give estimates of labour values and prices of production which are extremely close to each other as well as to actual market prices. On further examination, however, we conclude that our empirical findings are absolutely consistent with the theoretical requirements of the classical approach and contradict those of the TSSI.