Applying digital analysis to detect fraud: an empirical analysis of US marine industry

Firms have tendency to window dress their financial statements by reporting earnings to achieve reference points represented by N × 10 ^k . Such practice of reporting rounded earnings is likely due to (1) firms may believe that investors perceive a reported earnings of $1.99 million to be significantly less than $2.0 million; and/or (2) contracts between firms and stakeholders are likely to express earnings in round numbers. Auditors have employed more sophisticated digital analysis such as Benford's law, as part of their fraud detection processes. This study investigated the window dressing behaviour among firms in the US marine industry. The findings of the study suggest that window dressing is a significant practice among the marine firms. However, the extent of the pervasiveness of such behaviour is less severe among marine firms than among all publicly-listed firms in the entire US economy, suggesting that the quality of financial statements of marine companies is higher than the overall population of public companies.     

The CUSUM of squares test for the stability of regression models with non-stationary regressors

In this paper, we propose a modified CUSUM of squares test in time series regression models with a non-stationary regressor and show that the limiting distribution of this test is the sup of the absolute value of a Brownian bridge.     

从成就测试卷分析看大学英语教学考试质量

本文通过对某高校英语专业05级学生期末试卷的分析发现:此类教学考试在质量上存在一定问题.大学英语教学考试质量应引起高校英语教师的充分关注,否则,此类教学考试中学生的英语成绩就难于客观和公正.     

Loss of efficiency in regression analysis due to irrelevant variables: A generalization

This note extends the specification error analysis of irrelevant variables in a regression model. It is shown that the loss of efficiency in estimating relevant regression coefficient is directly related to the magnitudes of the canonical correlations between the sets of relevant and irrelevant variables.     

A wavelet-based panel unit-root test in the presence of an unknown structural break and cross-sectional dependency,with an application of purchasing power parity theory in developing countries

This article introduces two different non-parametric wavelet-based panel unit-root tests in the presence of unknown structural breaks and cross-sectional dependencies in the data. These tests are compared with a previously suggested non-parametric wavelet test, the parameteric Im-Pesaran and Shin (IPS) test and a Wald type of test. The results from the Monte Carlo simulations clearly show that the new wavelet-ratio tests are superior to the traditional tests both in terms of size and power in panel unit-root tests because of its robustness to cross-section dependency and structural breaks. Based on an empirical Central American panel application, we can, in contrast to previous research (where bias due to structural breaks is simply disregarded), find strong, clear-cut support for purchasing power parity (PPP) in this developing region.     

The sensitivity of the RESET tests to disturbance autocorrelation in regression analysis

This paper investigates the sensitivity of the RESET tests, proposed by Ramsey (1969) and modified by Thursby and Schmidt (1977), to disturbance autocorrelation in regression analysis. Porter and Kashyap (1984) show that RESET is not robust to autocorrelated disturbance when there is a highly autocorrelated regressor in the model. We show that RESET is sensitive to disturbance autocorrelation even when the regressors are not autocorrelated. We explain the findings of Thursby (1979) and Porter and Kashyap (1984) as well as our result by showing that a spurious correlation between the regressor and the disturbance is responsible for the serious size distortion of the RESET tests. First version received: June 1999/Final version received: November 2000     

A simple panel stationarity test in the presence of serial correlation and a common factor

This paper develops a simple test à la Pesaran (2007) for the null hypothesis of stationarity in heterogeneous panel data with cross-sectional dependence in the form of a common factor in the disturbance. We also allow for serial correlation.     

A test for the presence of central bank intervention in the foreign exchange market with an application to the Bank of Canada

In this article, a general nonlinear simultaneous equations framework for the econometric analysis of models of intervention in foreign exchange markets by central banks in response to deviations of exchange rates from target levels is proposed. The instrumental variables estimation of possibly nonlinear response functions and tests of intervention, when the functional form may be nonlinear, asymmetric, and may contain unknown shape parameters, is considered. The methodology applies techniques developed for testing in the presence of nuisance parameters unidentified under a null hypothesis to a nonlinear simultaneous equations model. The results of an empirical analysis of stabilization activity of the Bank of Canada, for the period from 1953 to 2009, with regard to the Canada–U.S exchange rate are reported here. A nonlinear specification is found necessary to capture activity after 1998.     

On the use of better measured proxies in regression analysis

Improving the measurement of mismeasured regressors may cause the inconsistency in least-square coefficient estimators to rise. An explanation for this result is provided and a more comprehensive summary of the data that is free of this problem is proposed.     

上海证券市场弱式有效性的统计检验

有效市场假说是现代金融理论中最重要也是最有争议的概念之一,其中研究最多、争议最大的是市场的弱式有效性。本文运用上证综合指数（2003年1月2日-2006年12月29日）日数据,对上海证券市场的弱式有效性进行了三种统计检验,序列相关性检验、单位根检验和随机游程检验,单位根检验得出上海证券市场尚未达到弱式有效,然而序列相关性检验和随机游程检验的结果显示上海证券市场已经达到弱式有效,由于单位根检验的必要而非充分性,本文认为可以认为上海证券市场已基本上达到弱式有效。     

A guide to the computation of stationarity tests

In this paper we compare ways of computing stationarity tests. We show that whereas some of the procedures recommended lead to inconsistency of the tests, it is still possible to compute a test with good properties in finite sample in terms of empirical size and power. The guidance suggested in the paper is illustrated by testing for the purchasing power parity hypothesis in some developed countries.

Market equilibrium in the presence of green consumers and responsible firms: A comparative statics analysis

This paper analyzes how the interaction between green consumers and responsible firms affects the market equilibrium. The main result is that a higher degree of responsibility of consumers and/or firms may both increase and decrease the total abatement and the social welfare. In general an increment in the degree of CSR of a firm entails an increase of its total clean-up and a reduction of the aggregate abatement of its rival. When the rival firm has a high degree of CSR this second effect is stronger than the first and total abatement falls down. At the same time, when the degree of consciousness of consumers and/or firms is very high, responsible firms overprovide environmental quality: in such case a further increment in the level of social responsibility of a market actor may trigger an increase of firms’ total clean-up but a reduction in social welfare.     

Forecasting nonlinear economic time series: A simple test to accompany the nearest neighbor approach

This paper is based on a recent nonparametric forecasting approach by Sugihara, Grenfell and May (1990) to improve the short term prediction of nonlinear chaotic processes. The idea underlying their forecasting algorithm is as follows: For a nonlinear low-dimensional process, a state space reconstruction of the observed time series exhibits spatial correlation, which can be exploited to improveshort term forecasts by means of locally linear approximations. Still, the important question of evaluating the forecast perfomance is very much an open one, if the researcher is confronted with data that are additionally disturbed by stochastic noise. To account for this problem, a simple nonparametric test to accompany the algorithm is suggested here. To demonstrate its practical use, the methodology is applied to observed price series from commodity markets. It can be shown that the short term predictability of the best fitting linear model can be improved upon significantly by this method.     

Bayesian analysis of periodic unit roots in the presence of a break

A Bayesian testing approach for a periodic unit root in quarterly and monthly data is presented. Further a Bayesian test is introduced to test for unit roots at (non)seasonal spectral frequencies. All procedures admit one structural break in the periodic trend function, where the occurrence of a break and the associated timing are treated as additional model parameters. A Bayesian model averaging (BMA) approach is proposed and power functions of the tests are computed. Overall the results indicate that the BMA periodic unit root test exhibits favourable test properties even in small samples. In an empirical application the presented testing procedures are used to test for (non)seasonal forms of unemployment persistence among OECD countries.     

Monetary policy rules and directions of causality: A test for the euro area

Abstract

Using a VAR model in first differences with quarterly data for the euro zone, the study aims to ascertain whether decisions on monetary policy can be interpreted in terms of a “monetary policy rule” with specific reference to the so-called nominal GDP targeting rule (Hall and Mankiw, 1994 Granger, C.W.J. “Investigating Causal Relations by Econometric Models and Cross-Spectral Methods.” Econometrica, 1969, 37 (3), 424–438.[Crossref], [Web of Science ®] , [Google Scholar]; McCallum, 1988 McCallum, B. “Nominal GDP Targeting”, Shadow Open Market Committee, October 21, 2011. [Google Scholar]; Woodford, 2012 Taylor, J.B., Williams, J.C. “Simple and Robust Rules for Monetary Policy”, NBER Working Paper No. 15908, April, 2010. [Google Scholar]). The results obtained indicate a causal relation proceeding from deviation between the growth rates of nominal gross domestic product (GDP) and target GDP to variation in the three-month market interest rate. The same analyses do not, however, appear to confirm the existence of a significant inverse causal relation from variation in the market interest rate to deviation between the nominal and target GDP growth rates. Similar results were obtained on replacing the market interest rate with the European Central Bank refinancing interest rate. This confirmation of only one of the two directions of causality does not support an interpretation of monetary policy based on the nominal GDP targeting rule and gives rise to doubt in more general terms as to the applicability of the Taylor rule and all the conventional rules of monetary policy to the case in question. The results appear instead to be more in line with other possible approaches, such as those based on post Keynesian analyses of monetary theory and policy and more specifically the so-called solvency rule (Brancaccio and Fontana, 2013 ———. Macroeconomics, 2nd ed., Pearson Education Company, ch. 30. [Google Scholar], 2015 Brancaccio, E. The Central Banker as “Regulator” of Conflict. In G. Fontana and M. Setterfield (eds.), Macroeconomic Theory and Macroeconomic Pedagogy. Basingstoke: Palgrave Macmillan, 2009, 295–308.[Crossref] , [Google Scholar]). These lines of research challenge the simplistic argument that the scope of monetary policy consists in the stabilization of inflation, real GDP, or nominal income around a “natural equilibrium” level. Rather, they suggest that central banks actually follow a more complex purpose, which is the political regulation of the financial system with particular reference to the relations between creditors and debtors and the related solvency of economic units.     

Validation of the Bowel Function Index to detect clinically meaningful changes in opioid-induced constipation

Abstract

Objective: The Bowel Function Index (BFI) is a clinician-administered, patient-reported, 3-item questionnaire to evaluate opioid-induced constipation in cancer and non-cancer chronic pain patients. The objective of the present analysis was to evaluate the psychometric characteristics of the BFI using data from clinical studies of oral prolonged release (PR) oxycodone/naloxone.

Methods: OXN2401 was a multicenter, controlled, randomized, double-blind, parallel-group study including oral PR oxycodone combined with oral PR naloxone as well as oral PR oxycodone combined with corresponding naloxone placebo. OXN3401 and OXN3001 were 12-week multicenter, controlled, randomized, double-blind, parallel-group studies of a fixed combination of oral PR oxycodone/naloxone versus PR oxycodone. In addition, a placebo group was included in study OXN3401. BFI psychometric characteristics (reliability, reproducibility, convergent/known groups validity, and responsiveness) were evaluated.

Results: Demographic data (n=985) were comparable and analyses indicated a high degree of internal consistency (Cronbach's alpha >0.7). Change of less than 5 points in BFI was indicative of high reproducibility. Correlations between BFI item and total scores to stool frequency were statistically significant and in the low-to-moderate range (OXN2401 –0.23 to –0.29, p < 0.001; OXN3401 range –0.26 to –0.40, p < 0.001; OXN3001 –0.14 to –0.15, p < 0.05). Data indicate that a BFI score change of ≥12 points represents a clinically meaningful change in constipation.

Limitations: This publication for validation of BFI only includes data from three clinical trials. However, another publication of an additional specifically designed cross-sectional validation study is in preparation.

Conclusion: The BFI is a valid and reliable instrument for the assessment of opioid-induced constipation in chronic pain patients. Psychometric analyses from clinical trials support the BFI's psychometric properties.     

For whom the reductions count: A quantile regression analysis of class size and peer effects on scholastic achievement

In this paper the controversial educational topic of class size reduction is addressed. Controlling for a large number of observable characteristics and potential endogeneity in the class size variable, an educational production function is estimated using a quantile regression technique. The “conventional wisdom” that class size reduction is a viable means to increase scholastic achievement is discounted. Rather, the results point towards a far stronger peer effect through which class size reduction may play an important role. Due to heterogeneity in the newly identified peer effect, class size reduction is shown to be a potentially regressive policy measure.     

A more general class of biased estimators of the co-efficients in linear regression

In a recent paper, Ullah and Ullah (1978) proposed a class of biased estimators, namely double k-class (k₁, k₂) for the coefficients in a linear regression model. Even though, this set of estimators contains James and Stein (1961) as a special case, in its present form, it does not contain the ridge type estimators. The aim of this note is to extend Ullah and Ullah set of estimators and then establish a relationship with the various operational ridge estimators. The conditions under which the extended set of estimators dominates the ordinary least squares estimator are analyzed.     

Empirical analysis of the monetary policy transmission through interest rate channel in China

With the deregulation of interest rates in China, the interest rate channel of monetary policy transmission is becoming more and more important. Firstly, this paper makes empirical studies on the transmission mechanism in China represented by the conventional interest rate channel of monetary policy transmission by using the Granger causality test. The result shows that there is no causality neither between investment expenditure and the market interest rate nor between household consumption and the market interest rate, which suggests that the transmission of monetary policy in China is impeded. Then the reasons from three aspects including interest rate liberalization, asset-backed securitization and household consumption behavior are analyzed.