Measuring technical efficiency and shadow price of water pollutants for the leather industry in India: a directional distance function approach

Journal of Regulatory Economics - This paper measures the cost of reducing pollution from the Kanpur leather industry which is a prime source of pollution in India’s largest river basin of...     

Shadow prices of $$\hbox {CO}_{2}$$ emissions at US electric utilities: a random-coefficient,random-directional-vector directional output distance function approach

We estimate the shadow prices of \(\hbox {CO}_{2}\) emissions of electric utilities in the US over the period from 2001 to 2014, using a random-coefficient, random-directional-vector directional output distance function (DODF) model. The main feature of this model is that both its coefficients and directional vector are allowed to vary across firms, thus allowing different firms to have different production technologies and to follow different growth paths. Our Bayes factor analysis indicates that this model is strongly favored over the commonly used fixed-coefficient DODF model. Our results obtained from this model suggest that the average annual shadow price of \(\hbox {CO}_{2}\) emissions ranges from $61.62 to $105.72 (in 2001 dollars) with an average of $83.12. The results also suggest that the firm-specific average shadow price differs significantly across electric utilities. In addition, our estimates of the shadow price of \(\hbox {CO}_{2}\) emissions show an upward trend for both the sample electric utilities as a whole and the majority of the individual sample electric utilities.     

Technical efficiency of European railways: a distance function approach

This study has two principal objectives. The first objective is to measure and compare the performance of European railways. The second objective is to illustrate the usefulness of econometric distance functions in the analysis of production in multioutput industries, where behavioural assumptions such as cost minimization or profit maximization, are unlikely to be applicable. Using annual data on 17 railways companies during 1988–1993, multioutput distance functions are estimated using corrected ordinary least squares (COLS). The resulting technical efficiency estimates range from 0.980 for the Netherlands to 0.784 for Italy, with a mean of 0.863. The distance function results are also compared with those obtained from single-output production functions, where aggregate output measures are formed using either total revenue or a Tornqvist index. The results obtained indicate substantial differences in parameter estimates and technical efficiency rankings, casting significant doubt upon the reliability of these single-output models, particularly when a total revenue measure is used to proxy aggregate output.     

Comparing competition and collusion: a numerical approach

Summary. Collusion is a serious problem in many procurement auctions. In this research, I study a model of first price sealed bid procurement auctions with asymmetric bidders. I demonstrate that the equilibrium to the model is unique and describe three algorithms that can be used to compute the inverse equilibrium bid functions. I then use the computational algorithms to compare competitive and collusive bidding. The algorithms are useful for structural estimation of auction models and for assessing the damages from bid-rigging. Received: January 14, 2000; revised version: February 28, 2001     

Slack-based directional distance function in the presence of bad outputs: theory and application to Vietnamese banking

In this paper we extend the slack-based directional distance function introduced by Färe and Grosskopf (Eur J Oper Res 200(1):320–322, 2010) to measure efficiency in the presence of bad outputs and illustrate it through an application on data of Vietnamese commercial banks. We also compare results from the slack-based directional distance function relative to the directional distance function, the enhanced hyperbolic efficiency measure (Färe et al. in Rev Econ Stat 71(1):90–98, 1989) and the Farrell-type technical efficiency and confirm that it has greater discriminative power.     

Comparing abnormal accruals models: a non-parametric approach

The purpose of this study is to compare the distribution of discretionary accruals produced by the Standard and Modified Jones models using a non-parametric approach. Evidence is provided that discretionary accruals produced by the two models have an almost identical distribution. Moreover, it is found that whether or not an intercept is included in the model produces more intra-distribution mobility than the use of the standard or the modified version of the model.     

Shadow directional distance functions with bads: GMM estimation of optimal directions and efficiencies

Because of its greater flexibility, the directional distance function (DDF) has been employed with increasing frequency to estimate multiple-input and multiple-output production, where inputs and outputs can be good or bad. However, typically researchers make three restrictive assumptions. First, they assume a direction of movement of firm production toward the frontier. Second, they assume that actual quantities of inputs and outputs are allocatively or price efficient. Third, they assume exogeneity of all inputs and all outputs, except for the normalized one. The first contribution of this paper is to include parameters to estimate optimal directions which correspond to the firm’s profit-maximizing (PM) position. The second contribution is to generalize the DDF to a shadow-quantity DDF. This entails adding distortion parameters to each input and output quantity of the DDF, creating shadow quantities. To estimate the shadow quantities and the structural parameters, we form the shadow DDF system, which includes the shadow DDF and all the first-order price equations from the shadow-PM problem. These include prices for bad inputs and bad outputs, where we approximate their missing prices for use in their first-order price equations. The third contribution is that we estimate the shadow DDF system using a Generalized Method of Moments approach, where all variables are potentially endogenous. This approach is simpler than the Bayesian one employed in Atkinson et al. (Estimating efficient production with bad inputs and outputs using latent prices and optimal directions. Working paper, University of Georgia, Athens, 2016), which estimated shadow prices and optimal directions. Using the same data set, both sets of results are qualitatively very similar, although they differ somewhat quantitatively.     

US deficit sustainability revisited: a multiple structural change approach

In this article we re-examine the long-run sustainability of US budget deficits, using Bai and Perron's multiple structural change approach. While the deficit would have been weakly sustainable over the full sample (1947:1–2005:3), strong sustainability would appear only between January 1982 and February 1996.     

US inflation and output since the 1970s: a P-star approach

US inflation and output developments since the 1970s are considered using the P-star model and the VAR-based Diebold–Yilmaz spillover index approach. Shocks to monetary variables explain a substantial share of US GDP deflator inflation shocks over time, particularly in the late 1980s and early 1990s but also in recent years, a time when quantitative easing was employed by the Federal Reserve. Monetary factors, and not oil shocks, underlie price developments in the 1970s and early 1980s. Monetary shocks’ influence on oil prices has become noticeably stronger over the past ten years or so, supporting the greater attention being paid of late to the impact of the monetary environment on commodity markets. Shocks to the velocity-of-money variable affect output developments, with the exception of the 1970s and early 1980s when inflation shocks and, to a lesser extent, oil inflation shocks dominate the cross-variance share of output gap shocks. After the Volcker disinflation, the influence of both inflation and oil price shocks on the output gap wane and those of velocity gap shocks increase.     

US monetary policy shocks and the Chinese economy: a GVAR approach

Using a global vector auto regressive (GVAR) methodology, this article examines the impact of US monetary policy shocks on China’s major macroeconomic indicators. Our analysis reveals that a positive shock to the US money supply growth rate initially increases China’s inflation rate but after some time this effect completely disappears. This shock also raises China’s short-term interest rate and the Chinese currency appreciates against the US dollar. A positive shock to the US short-term interest rate increases China’s short-term interest rate but the real output growth and inflation rates decline and the Chinese currency appreciates.     

Comparing new Keynesian models in the Euro area: a Bayesian approach

This paper estimates and compares four versions of the sticky price New Keynesian model for the Euro area using a Bayesian approach. We find that the average duration of price contracts is between two and four quarters, while the average duration of wage contracts is estimated to be below two quarters. Both mechanisms of price and wage indexation are not important when autocorrelated price markup shocks are introduced in the model. These results are in stark contrast to Smets and Wouters (2003): when we use their priors, our estimated posterior distributions are similar to theirs, but the models’ fit to the data is worse. We are thankful to the Econometric Modelling Unit at the European Central Bank for providing us with the Euro area data. We also thank two anonymous referees for helpful suggestions. The views expressed in this paper are those of the authors and do not necessarily reflect the views of Caixa d’Estalvis i Pensions de Barcelona (“la Caixa”).     

Outsourcing and firm productivity: a production function approach

This paper is aimed at analyzing the relationship between outsourcing and productivity. Specifically, this paper deals with outsourcing at the firm level and focuses on the role of contracting out of manufacturing activities. I obtain new insights on this topic, mainly using a precise measure for outsourcing and analyzing differences across industries. Using an unbalanced panel of Spanish manufacturing firms, I estimate a production function depending on traditional inputs (labor, capital, and materials) and an index of production subcontracting. I find that for manufacturing as a whole, outsourcing intensity has a positive effect on productivity, showing an elasticity of output with respect to outsourcing around 0.15. When analyzing industry level results, I find that outsourcing intensity has a positive effect on productivity, mainly for firms belonging to light industries.     

Testing the effectiveness of the French work-sharing reform: a forecasting approach

The macroeconomic impact of the French work-sharing reform of 2000 (a reduction of standard working hours in combination with wage subsidies) is analysed. Using a vector error correction model (VECM) for several labour market variables, as well as inflation and output, out-of-sample forecasts for 2000/2001 are produced. A comparison of these forecasts – which serve as a benchmark simulation without structural shifts – to the realized values (with shifts) suggests significant beneficial employment effects of the policy mix. Other shifts were absent and thus cannot explain the outcome. Output, productivity, hourly labour costs, and inflation are only transitorily affected or not at all.     

Income inequalities for recently graduated French workers: a multilevel modeling approach

This paper presents a simultaneous study of the impact of gender, occupational and localization inequalities on the earnings of higher education graduates. The framework draws on both individual level (i.e., pertaining to the individual elements of groups) and aggregate level (i.e., pertaining to the group as a whole) data under a single specification. To take into account the selection process for employment, our multilevel model uses the Heckman two-step procedure. Occupational Groups (OG) are found to capture around 40 % of the wage heterogeneity, whereas Employment Area (EA) nests capture less than 10 %. Higher wages are offered to young workers in (1) OG dominated by seniors and (2) OG dominated by men. These group characteristics also influence gender inequalities: there is a higher wage penalty for women in (1) OG dominated by men and (2) OG dominated by senior workers. In contrast to gender inequality, immigrant inequalities manifest closer links to EA.     

中美信用制度建设的比较和建议

市场经济是契约经济，契约产生预期效果的基础是信用，信用产品是维系市场经济正常运行的特效商品。我国现在处于计划经济向市场经济的转型时期，还存在信用的缺失。本文通过对中国和美国信用体系的比较，并借鉴美国信用体系的优点，得出了如何加快我国建立信用体系的建议。     

Opening the box: Comparing EU and US scientific output by scientific field

Recent reports suggest that, during the 1990s, the EU15 overcame the US in scientific output. This paper provides a comprehensive comparative analysis of the evolution of the EU15 and US scientific output and impact throughout the 1990s, looking at publications and impact trends by scientific field. Results show that changes in scientific production for the two blocks are driven by particular scientific fields which grew or declined at a fast rate during the decade. Throughout this period, the EU15 had eight fields of science, corresponding to a 13% of the total papers published, growing at a rate faster than 10% in relation to world average, while the US had only four fast growing fields, representing 6% of its total output. The situation was exactly reversed for the decline, with the US having more than doubled the number of scientific fields when compared to the EU15 declining at a rate faster than 10%. Despite this recent trend, the US maintains a distant leadership in impact across all scientific fields. A detailed analysis of the EU15 countries shows some convergence in terms of outputs and impact, but considerable differences among countries remain. These reflect the evolution, not only of their science, technology and higher education systems, but also their integration in the international science system.     

Burden of breast cancer with brain metastasis: a French national hospital database analysis

Abstract

Objective:

Incidence of breast cancer with brain metastases (BCBM) is increasing, especially among patients over-expressing HER2. Epidemiology on this sub-type of cancer is scarce, since cancer registries carry no information on the HER2 status. A retrospective database analysis was conducted to estimate the burden of BCBM, especially among HER2-positive patients in a secondary objective.

Methods:

Patients with a new diagnosis of BCBM carried out between January and December 2008 were identified from the national hospital database using the International Disease Classification. Patients receiving a targeted anti-HER2 therapy were identified from the national pharmacy database. Hospital and pharmacy claims were linked to estimate the burden of HER2-positive patients. Data on hospitalizations were extracted to describe treatment patterns and healthcare costs during a 1-year follow-up. Predictors of treatment cost were analyzed through multi-linear regression analysis.

Results:

Two thousand and ninety-nine BCBM patients were identified (mean age (SD)?=?57.8 (13.6)), of whom 12.2% received a targeted anti-HER2 therapy; 79% of patients had brain metastases associated with extracranial metastases, and the attrition rate reached 82%. Patients received mostly palliative care (47.4%), general medical care (40.6%), and chemotherapy (35.0%). The total annual hospital cost of treatment was 8,426,392€, representing a mean cost of 22,591€ (±14,726) per patient, mainly influenced by extracranial metastases, surgical acts, and HER2-overexpression (p?<?0.0001).

Conclusions:

The database linkage of hospital and pharmacy claims is a relevant approach to identify sub-type of cancer. Chemotherapy was widely used as a systemic treatment for breast cancer rather than for local treatment of brain metastases whose morbi-mortality remains high. The variability of treatment costs suggests clinical heterogeneity and, thus, extensive individualization of protocols.     

Forecasting the probability of US recessions: a Probit and dynamic factor modelling approach

Abstract Quantifying the probability of U.S. recessions has become increasingly important since August 2007. In a data‐rich environment, this paper is the first to apply a Probit model to common factors extracted from a large set of explanatory variables to model and forecast recession probability. The results show the advantages of the proposed approach over many existing models. Simulated real‐time analysis captures all recessions since 1980. The proposed model also detects a significant jump in the next six‐month recession probability based on data up to November 2007, one year before the formal declaration of the recent recession by the NBER.