The Impact of International Trade on Central Bank Efficiency: An Application of DEA and Tobit Regression Analysis

Dar, Qaiser Farooq; Ahn, Young-Hyo; Dar, Gulbadin Farooq

doi:10.19139/soic-2310-5070-1077

Cited by 8 publications

(7 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When measuring efficiency, regression analysis uses a single optimization for all observations, whereas DEA uses a series of optimizations, one for each unit under evaluation. This divides the units into two as efficient and inefficient and instead of fitting a trendline in the center of the dataset as regression analysis does, it creates a reference set of units for the inefficient ones as a measure of improvement (Dar et al , 2021). These benefits of DEA make it an appropriate method for efficiency evaluation in the apparel retail industry.…”

Section: Introductionmentioning

confidence: 99%

Evaluating retail efficiency using DEA and AHP: a case in the Turkish apparel retail industry

Okur

Ercan

2022

JFMM

View full text Add to dashboard Cite

PurposeThe purpose of this study is to propose a comprehensive efficiency evaluation approach to measure the efficiency of the retailers and to determine the relative importance of a wide variety of apparel retail-specific factors that support efficiency.Design/methodology/approachThe first stage of the proposed approach is the measurement of the relative efficiency of the apparel retailers by using data envelopment analysis (DEA) for identifying the best practice frontier and determination of the improvement ratios. The second stage is the prioritization of the factors that are important in the apparel retail efficiency using analytical hierarchy process (AHP).FindingsThe findings of the study revealed that the quantitative criteria to be considered for efficiency through input minimization and output maximization were “number of employees” and “profit before tax,” respectively, however, focusing on output maximization was found to be more critical. In addition, it was seen that the most important qualitative components of efficiency were satisfied customers, qualified staff and branding.Practical implicationsThe managerial actors in the apparel retail industry can be alerted for new strategic actions to adopt best practices or take precautions for future inefficiencies with the help of the results obtained. The customized hierarchical structure allows determining the priority areas that need to be focused on for increasing the performance of apparel retailers.Originality/valueIn this study, DEA and AHP were combined to build a comprehensive efficiency evaluation approach in the apparel retail industry for the first time in the literature. Thus, both qualitative and quantitative variables that are important in apparel retail efficiency were put forward and evaluated. The originality of the hierarchical structure in AHP was its customization to the apparel retail industry.

show abstract

Section: Introductionmentioning

confidence: 99%

Evaluating retail efficiency using DEA and AHP: a case in the Turkish apparel retail industry

Okur

Ercan

2022

JFMM

View full text Add to dashboard Cite

show abstract

“…This implies that the censored values here simulate an unverified value of the underlying latent variable which, would be less than zero. The latent variable Yi* will found as a normally distributed random variable, following traditional linear regression models (Brown & Dunn, 2011;Dar et al, 2021). However, the Tobit model admits that the observed random variable Yi defined, according to Brown and Dunn (2011).…”

Section: Censored Regression and Tobit Regression Modelmentioning

confidence: 99%

“…The Tobit model is then Yi* =XTiβ + ui, where the error ui will have a normal distribution. This implies that Yi* will also present a normal distribution (Brown & Dunn, 2011;Dar et al, 2021). The two conditional forms are of primary importance (Boarnet & Wang, 2019;Brown & Dunn, 2011).…”

mentioning

confidence: 99%

Effects of Unemployment on Economic Sectors: A Proposal for Behavior Analysis with Brazilian Municipalities

Silva,

Araújo

2023

IJEF

View full text Add to dashboard Cite

Although determined municipal public policies focus on the unemployment rate, to understand its determinants, one must assess how the main employment sectors in the country work, and how they affected by unemployment. In view of these facts, it is possible to raise the following research question: what is the influence of the main employment sectors on the unemployment present in Brazilian municipalities? Thus, this research will aim to analyze the effects of unemployment in the main employment sectors in Brazil. The study used data from 5.631 Brazilian municipalities, performing quantitative descriptive analysis procedures, in addition to the development of a linear regression model and a Tobit regression model. The Services sector appears with a positive highlight in relation to the others. Mineral Extractivism, on the other hand, presented a worrying unemployment estimate, being the sector that suffers the greatest impact in relation to unemployment. Among the economic sectors that also presented worrying coefficients are the Transformation industry (0.80) and Business (0.77). The results presented in the research can serve as a basis for decision-making, not only for public sector managers, but also for managers in the private sector.

show abstract

“…Two-stage DEA network models use different inputs and outputs according to the type of efficiency which they are measuring. Two-stage analysis in the literature also includes efficiency analyses with a regression model [24][25][26][27][28][29][30][31].…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating Bank Efficiency in the West Balkan Countries Using Data Envelopment Analysis

Horvat

Milenković²,

Dudić³

et al. 2022

Mathematics

View full text Add to dashboard Cite

The financial systems of the West Balkan countries are mainly based on banks. For an efficient financial system, it is of immense importance that the banks operating in it do so with high levels of efficiency. Furthermore, efficiency is needed when it comes to involving banking institutions in the financial flows in order to maintain sustainability of the financial construction. The aim of this paper is to determine whether there is a difference in efficiency between the considered countries and thus to show which changes the decisionmakers have to make in order to improve the efficiency of their banking systems. We analyze data from the revised financial statements of all banks operating in Albania, Bosnia and Herzegovina, Montenegro, North Macedonia and Serbia for the period from 2015 to 2019, using loans and investment as input variables and interest income, non-interest income and net income as output variables. The results obtained from the output-oriented DEA model with a variable return to scale have shown higher efficiency levels in North Macedonia, Bosnia and Herzegovina and Montenegro, while Serbia and Albania show lower efficiency. The individual analyses have shown that in order to improve efficiency levels, improvement is needed more in the correction of the investment amounts then in loan placements.

show abstract

The Impact of International Trade on Central Bank Efficiency: An Application of DEA and Tobit Regression Analysis

Cited by 8 publications

References 29 publications

Evaluating retail efficiency using DEA and AHP: a case in the Turkish apparel retail industry

Evaluating retail efficiency using DEA and AHP: a case in the Turkish apparel retail industry

Effects of Unemployment on Economic Sectors: A Proposal for Behavior Analysis with Brazilian Municipalities

Evaluating Bank Efficiency in the West Balkan Countries Using Data Envelopment Analysis

Contact Info

Product

Resources

About