scholarly journals Modelling Efficiency Effects in a True Fixed Effects Stochastic Frontier

2018 ◽  
Author(s):  
Satya Paul ◽  
Sriram Shankar
2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Samuel Gamtessa

This study applies the “true fixed effects” panel stochastic frontier methodology to the Canadian KLEMS data set to estimate technical change and technical efficiency in the Canadian manufacturing sector. To account for the endogeneity of capital inputs as well as the possible problems related to omitted variables, a two-stage residual inclusion method is pursued. The first stage is estimated using the dynamic panel GMM method. The results show that Canadian manufacturing industries experienced significant declines in technical efficiencies during the last ten years. This suggests that the observed slowdown in TFP growth during the recent past is partly due to declining technical efficiency.


2017 ◽  
pp. 1-30 ◽  
Author(s):  
THANH PHAM THIEN NGUYEN ◽  
SON HONG NGHIEM

Given considerable changes in the Vietnamese banking environment brought about by significant reforms towards liberalization during the last two decades, this study investigates the evolution of competition and efficiency, compares the competition and efficiency of state-owned banks to joint-stock banks, and then tests the “quiet life” hypothesis in this industry over the period 2000–2014. This study employs the efficiency-adjusted Lerner index (i.e., market power) to capture competition, and the cost efficiency estimated by a Fourier-flexible function stochastic frontier analysis (SFA) to capture bank efficiency. This study firstly finds a slight improvement of competition and cost efficiency in the Vietnamese banking sector over the analysis period. Secondly, there are no significant differences in competition and cost efficiency level between state-owned and joint-stock banks. Thirdly, a positive causality running from competition to cost efficiency is documented, providing evidence of supporting the “quiet life” hypothesis. Finally, positive efficiency effects of the banks’ capital ratio and size are found, while insignificant impacts of the growth of GDP per capita and 2007 global financial crisis were observed. The results are strongly robust to a variety of tests. The findings suggest pro-competition, pro-capitalization and pro-size expansion policies in the Vietnamese banking sector if targeting at improving the cost efficiency of Vietnamese banks.


Author(s):  
Metin Bayrak ◽  
Kadyrbek Sultakeev ◽  
Dastan Aseinov

Although the share of microfinance institutions in financial sector of Transition Economies are increasing, the level of interest rates charged by microfinance institutions are very high than normal bank interest rates. Because in these countries the main reasons of high interest rates are operational cost, funding costs, credit risk, inflation and target profit of MFIs. The main purpose of this paper is to analyze the effect of efficiency on interest rate in microfinance system of sampled transition economies. This study uses MIX data that runs from 2000 to 2014 for transition economies countries. The efficiency of microfinance institutions in sampled transition economies measured by applying Stochastic Frontier Approach. The impact of efficiency on interest rate will be analyzed using fixed effects and random effects panel data models.


Author(s):  
Sanna Mari Hynninen

This paper investigates the technical efficiency of labour market matching taking a stochastic frontierapproach. The data set consists of monthly data from 145 Local Labour Offices (LLOs) in Finland over theperiod 1995/01-2004/09. The true fixed-effects model is utilised in order to separate cross-sectionalheterogeneity from inefficiency. According to the results, there are notable differences in matching efficiencybetween regions, and these differences contribute significantly to the number of filled vacancies. If all regionswere as efficient as the most efficient one, the number of total matches per month would increase by over 10%. If inefficiency had no role in the matching function, the number of matches would increase by almost 24 %.The weight of the composition of the job-seeker stock and other environmental variables in the determinationof matching inefficiency is on average 61 %. In particular, job seekers out of the labour force and highlyeducated job seekers improve technical efficiency in the matching function


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