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Article
Publication date: 7 September 2021

Takeshi Sakai, Hideyuki Akai, Hiroki Ishizaka, Kazuyuki Tamura, Hiroaki Ozawa and Yew-Jin Lee

The purpose of this exploratory study was to develop Global Lesson Study (GLS) defined as an international collaborative lesson study through international exchange of…

Abstract

Purpose

The purpose of this exploratory study was to develop Global Lesson Study (GLS) defined as an international collaborative lesson study through international exchange of teachers using ICT. Its purpose is to nurture teachers from different countries with intercultural competence to conduct lesson study.

Design/methodology/approach

We developed an initial program for GLS in the subject of mathematics education between elementary school teachers in Japan and Singapore. The qualitative analysis of activities at each stage of the Pilot GLS was conducted from two perspectives: (1) intercultural competence for lesson study and (2) teacher's competency for subject instruction.

Findings

Through GLS, a new lesson was created that was only possible with discussions from teachers from different locations. It was clarified that GLS was not only useful for training teachers with intercultural competence for lesson study but also has led to the improvement of teacher's competency for subject instruction in mathematics.

Originality/value

The GLS is a new attempt in the sense of developing a high-quality lesson study method for creating new lessons as well as improving qualities and abilities of teachers through international exchange.

Details

International Journal for Lesson & Learning Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2046-8253

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Article
Publication date: 11 May 2012

Tarcisio da Graca and Robert Masson

The purpose of this paper is to demonstrate with real data the enhanced statistical power of a GLS‐based event study methodology that requires the same input data as the…

Abstract

Purpose

The purpose of this paper is to demonstrate with real data the enhanced statistical power of a GLS‐based event study methodology that requires the same input data as the traditional tests.

Design/methodology/approach

The paper uses full sample, subsample and simulated modified sample analyses to compare the statistical power of the GLS methodology with traditional methods.

Findings

The paper finds that it is often the case that traditional tests will not reject the null when a GLS‐based test may (strongly) reject the null. The power of the former is poor.

Practical implications

There are many published event studies where the null is not rejected. This may be because of the phenomenon being tested but it may also be because of the lack of power of traditional estimators. Hence, rerunning them with the authors' more powerful test is likely to reject some currently well‐accepted null hypotheses of no event effect, stimulating new research ideas. Moreover, as individual stocks have become more volatile, the additional power of the authors' methodology to detect abnormal performance for recent and future events becomes even more important.

Originality/value

There are more than 500 event studies in the top finance journals, which can broadly be split into two subgroups: contemporaneous shocks like changes in regulation and non‐contemporaneous events like mergers. GLS contemporaneous modeling of covariances in the former showed little efficiency gains. The paper's GLS modeling of variances for the latter demonstrates potentially huge effects. Practitioners should be skeptical of prior results accepting the null of no event effect and incorporate GLS to be confident of their future findings.

Details

Review of Accounting and Finance, vol. 11 no. 2
Type: Research Article
ISSN: 1475-7702

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Article
Publication date: 15 March 2011

Remko van Hoek, Janet Godsell and Alan Harrison

Guest lecturers (GLs) are a popular mechanism for transferring insights from industry into supply chain programmes. With a scarcity of capable supply chain (SC) talent in…

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Abstract

Purpose

Guest lecturers (GLs) are a popular mechanism for transferring insights from industry into supply chain programmes. With a scarcity of capable supply chain (SC) talent in today's labour market, there is real value in executives contributing to SC programmes at schools and universities. By guest lecturing they can “light the fire” in students about how exciting the field and practice are and how much potential there is in considering a career in SC management. Students on SC programmes can be shown part of the way towards modern SC practice for which there is a real need for more talent. However, it may be difficult to ensure GL effectiveness; it is neither the executive's job nor his/her profession and academics often find it hard to recruit GLs.

Design/methodology/approach

Based on the hands‐on experience of GLs and academics from multiple backgrounds, this paper develops both a framework that can help ensure effective use of the GL, and 11 specific tips and suggestions for recruiting and using GLs in SC programmes.

Findings

It was found that there are more creative ways to use GLs in programmes than typically considered, as well as a wider recruitment of different types of GL than those most commonly sought after and most hard to recruit.

Originality/value

This paper aims to assist educators in curriculum development and to help to ensure that, when executives offer up scarce time and experience, they maximise the impact of their service.

Details

Supply Chain Management: An International Journal, vol. 16 no. 2
Type: Research Article
ISSN: 1359-8546

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Book part
Publication date: 21 November 2014

Badi H. Baltagi, Chihwa Kao and Long Liu

This paper studies test of hypotheses for the slope parameter in a linear time trend panel data model with serially correlated error component disturbances. We propose a…

Abstract

This paper studies test of hypotheses for the slope parameter in a linear time trend panel data model with serially correlated error component disturbances. We propose a test statistic that uses a bias corrected estimator of the serial correlation parameter. The proposed test statistic which is based on the corresponding fixed effects feasible generalized least squares (FE-FGLS) estimator of the slope parameter has the standard normal limiting distribution which is valid whether the remainder error is I(0) or I(1). This performs well in Monte Carlo experiments and is recommended.

Details

Essays in Honor of Peter C. B. Phillips
Type: Book
ISBN: 978-1-78441-183-1

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Article
Publication date: 8 April 2014

Nobuyuki Inamizu, Mitsuhiro Fukuzawa, Takahiro Fujimoto, Junjiro Shintaku and Nobutaka Suzuki

This study aims to describe how a work team adapted to its fluctuated and severe environment by changing from “lean” to “over-lean” mode. To do this, the author…

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Abstract

Purpose

This study aims to describe how a work team adapted to its fluctuated and severe environment by changing from “lean” to “over-lean” mode. To do this, the author investigated the relations among productivity, the vertical division of labor, and group leaders' behavior in a Japanese automobile assembly plant.

Design/methodology/approach

The authors conducted field study at an assembly plant for five months. They collected three plant-level data to investigate the capability of its shop floor: transition of production volume; transition of the number of workers; and productivity. And they collected two types of workforce data: skill map and work shift. Moreover, they videotaped the behavior of group leaders on several days and analyzed them through a time study.

Findings

The work team of this study achieved high productivity even in its tough environment. However, the authors' time study of group leaders showed that the group leaders, who usually engage in some management activities outside of the production line, did many tasks within the line. This indicates the team had a weakness toward the change of team members. Changing to this over-lean mode enabled the team to survive in a short-run, but maintaining the mode has a weakness in enhancing long-term competitiveness.

Originality/value

This study proposes a balance between the two modes is required for organizations if they are to survive their severe and fluctuating environments.

Details

Journal of Organizational Change Management, vol. 27 no. 2
Type: Research Article
ISSN: 0953-4814

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Abstract

Details

Panel Data Econometrics Theoretical Contributions and Empirical Applications
Type: Book
ISBN: 978-1-84950-836-0

Abstract

Details

Panel Data Econometrics Theoretical Contributions and Empirical Applications
Type: Book
ISBN: 978-1-84950-836-0

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Book part
Publication date: 12 December 2003

Badi H. Baltagi, Georges Bresson and Alain Pirotte

In the spirit of White’s (1982) paper, this paper examines the consequences of model misspecification using a panel data regression model. Maximum likelihood, random and…

Abstract

In the spirit of White’s (1982) paper, this paper examines the consequences of model misspecification using a panel data regression model. Maximum likelihood, random and fixed effects estimators are compared using Monte Carlo experiments under normality of the disturbances but with a possibly misspecified variance-covariance matrix. We show that the correct GLS (ML) procedure is always the best according to MSE performance, but the researcher does not have perfect foresight on the true form of the variance covariance matrix. In this case, we show that a pretest estimator is a viable alternative given that its performance is a close second to correct GLS (ML) whether the true specification is a two-way, a one-way error component model or a pooled regression model. Incorrect GLS, ML or fixed effects estimators may lead to a big loss in MSE.

Details

Maximum Likelihood Estimation of Misspecified Models: Twenty Years Later
Type: Book
ISBN: 978-1-84950-253-5

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Article
Publication date: 9 June 2021

Eyup Kadioglu

This study investigates the impact of simultaneously replacing both midday single-price call auction and lunch break with multi-price continuous trading on intraday…

Abstract

Purpose

This study investigates the impact of simultaneously replacing both midday single-price call auction and lunch break with multi-price continuous trading on intraday volatility–volume patterns as well as the intraday volatility–volume nexus.

Design/methodology/approach

The analysis utilises 150 m tick-by-tick transaction data related to 333 stocks traded on Borsa Istanbul Equity Market covering a period of 2 months prior to and following the change. In addition to graphic comparisons, the study uses difference in mean tests, panel-fixed generalized least squares (GLS), panel-random GLS and random-effects linear models with AR(1) disturbance regression estimations.

Findings

The results show that intraday volatility and trading volume form an inverse J-shape and are positively correlated. It is observed that the implementation of the regulation change decreased intraday volatility and increased trading volume. Additionally, the results indicate a negative volatility–liquidity and a positive volume–liquidity relationship, supporting the mixture of distribution hypothesis.

Research limitations/implications

Enhanced market efficiency provides greater opportunity for investment and risk management. Investors can benefit from the findings on the intraday volatility–volume nexus, which is an indicator of informed trading, and regulatory authorities can use volume to oversight volatility.

Originality/value

This very rare regulation change of the simultaneous replacement of the lunch break and midday call auction with continuous trading is investigated in the context of intraday volume and volatility. This study also expands upon some important findings on the volume–volatility nexus for the Turkish Stock Market.

Details

International Journal of Emerging Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-8809

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Book part
Publication date: 19 December 2012

Lee C. Adkins, Randall C. Campbell, Viera Chmelarova and R. Carter Hill

The Hausman test is used in applied economic work as a test of misspecification. It is most commonly thought of as a test of whether one or more explanatory variables in a…

Abstract

The Hausman test is used in applied economic work as a test of misspecification. It is most commonly thought of as a test of whether one or more explanatory variables in a regression model are endogenous. The usual Hausman contrast test requires one estimator to be efficient under the null hypothesis. If data are heteroskedastic, the least squares estimator is no longer efficient. The first option is to estimate the covariance matrix of the difference of the contrasted estimators, as suggested by Hahn, Ham, and Moon (2011). Other options for carrying out a Hausman-like test in this case include estimating an artificial regression and using robust standard errors. Alternatively, we might seek additional power by estimating the artificial regression using feasible generalized least squares. Finally, we might stack moment conditions leading to the two estimators and estimate the resulting system by GMM. We examine these options in a Monte Carlo experiment. We conclude that the test based on the procedure by Hahn, Ham, and Moon has good properties. The generalized least squares-based tests have higher size-corrected power when heteroskedasticity is detected in the DWH regression, and the heteroskedasticity is associated with a strong external IV. We do not consider the properties of the implied pretest estimator.

Details

Essays in Honor of Jerry Hausman
Type: Book
ISBN: 978-1-78190-308-7

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