SEM modeling with singular moment matrices Part III: GLS estimation

Employing a panel gravity model and Generalized Least Squares (GLS) estimation technique, this study documents the effect of double taxation treaties on the bilateral trade of Vietnam with ASEAN member states, thereby making an extensive comparison with its EU partner countries. Our findings indicate the significant contributions of the tax treaties to Vietnam’s trade performance, not exclusively with ASEAN but also with EU partner countries. Nevertheless, under some circumstances, the conclusion of tax treaties seems ineffective in strengthening export capacity or narrowing trade deficits for Vietnam. This is primarily due to the unidirectional movement of trade associated with tax treaty conditions, viz., imports from the advanced economies into Vietnam. Besides, the role of tax treaties as a dynamism of Vietnam’s export growth remains opaque during recent years.

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Inference with Difference-in-Differences Revisited

Journal of Econometric Methods ◽

10.1515/jem-2017-0005 ◽

2017 ◽

Vol 7 (1) ◽

Cited By ~ 9

Author(s):

Mike Brewer ◽

Thomas F. Crossley ◽

Robert Joyce

Keyword(s):

Monte Carlo ◽

Low Power ◽

Robust Inference ◽

Hypothesis Tests ◽

Difference In Differences ◽

Test Size ◽

Real Effects ◽

Gls Estimation ◽

Correct Size

AbstractA growing literature on inference in difference-in-differences (DiD) designs has been pessimistic about obtaining hypothesis tests of the correct size, particularly with few groups. We provide Monte Carlo evidence for four points: (i) it is possible to obtain tests of the correct size even with few groups, and in many settings very straightforward methods will achieve this; (ii) the main problem in DiD designs with grouped errors is instead low power to detect real effects; (iii) feasible GLS estimation combined with robust inference can increase power considerably whilst maintaining correct test size – again, even with few groups, and (iv) using OLS with robust inference can lead to a perverse relationship between power and panel length.

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Cost of corruption and efficiency in employment of firms: The case in Vietnam

Accounting ◽

10.5267/j.ac.2020.12.018 ◽

2021 ◽

pp. 609-614

Author(s):

Vu Cam Nhung ◽

Lai Cao Mai Phuong

Keyword(s):

Waiting Time ◽

Estimation Method ◽

Least Square ◽

Data Sets ◽

Return On Equity ◽

Average Value ◽

Fixed Assets ◽

Administrative Procedures ◽

Gls Estimation ◽

The Impact

This paper examines the impact of corruption on employers' efficiency in Vietnamese firms. The Generalized Least Square (GLS) estimation method was used for data sets surveyed for Vietnamese firms in 63 localities. The research results show that the unofficial costs in the industry and the total informal costs accounting for 10% or more of revenue will negatively affect the labor efficiency of these enterprises. For costs related to administrative procedures, businesses accept to pay these fees in order to save waiting time and it contributes to increase the efficiency of employers in businesses. In addition to the corruption factor, the study also shows that the number of employees, the location of operation, the average value of fixed assets per employee and the return on equity also affect the efficiency of use. employees in Vietnamese enterprises.

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A Comparative Analysis of the Productivity of Islamic and Conventional Mutual Funds in Indonesia: Data Envelopment Analysis (DEA) and General Least Square (GLS) Approaches

Gadjah Mada International Journal of Business ◽

10.22146/gamaijb.5439 ◽

2012 ◽

Vol 14 (2) ◽

pp. 183 ◽

Cited By ~ 2

Author(s):

M. Shabri Abd. Majid ◽

Hartomi Maulana

Keyword(s):

Data Envelopment Analysis ◽

Mutual Funds ◽

Least Square ◽

Scale Efficiency ◽

Data Envelopment ◽

Efficiency Change ◽

Tfp Growth ◽

Efficiency Measures ◽

Gls Estimation ◽

Unit Trust

This paper is an extended version of our earlier study (Abd. Majid and Maulana 2010) to further re-examine the relative efficiencies of selected Islamic and conventional mutual funds companies in Indonesia during the period 2004 to 2007 and their determinants. To measure their efficiencies, the output-input data consisting of a panel of conventional and Islamic mutual funds companies are empirically examined based on the most commonly used non-parametric approach, namely, Data Envelopment Analysis (DEA). It also attempts to investigate the influence of the mutual funds companies’ characteristicson efficiency measures using the Generalized Least Square (GLS) estimation. The study finds that, on average, the Indonesian mutual funds companies experienced a decrease in Total Factor Productivity (TFP) growth. It is mainly caused by a decline in both efficiency and technical efficiencies, where the efficiency change is largely contributed by the changes in pure efficiency rather than scale efficiency. Additionally, the study also documents that the funds size negatively affects efficiency. This indicates that due to its diseconomies of scale, a larger mutual funds company is less efficient than a smaller funds company. Finally, in comparing the efficiency of the mutual funds companies, the study finds that, on average, the Islamic unit trust companies perform more poorly than their conventionalcounterparts.

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