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CPS2245 Azrie Tamjis
               capture  inefficiency.    is  assumed  to  be  drawn  from  a  half-normal
               distribution with mean zero and variance  . , can be estimated by using the
               conditional  mean  of  inefficiency  term,  given  the  composed  error  term,  as
               proposed  by  Jondrow  et  al.  (1982)  and  derive  the  log-likelihood  for
                                                                                       2
               inefficiency, which is expressed in terms of the two variance parameters,  =
                                                                                   2
                       2
                +   capturing the variance of the composed error term  =  / , which
                                                                               2
                 2
               measures the fraction of inefficiency relative to statistical noise. Moreover, 
               can be used to measure the level of inefficiency of banks. For instance, if  is
               equal to 0, it indicates that there is no inefficiency based on the production
               function imposed. On the other hand, if  is more than 0, it indicates that
               inefficiency  is  present.  In  the  past,  most  studies  using  SFA  were  directed
               towards inefficiency prediction and this inefficiency is commonly measured
               using  technical  efficiency  (TE).  Equation  3  exhibits  the  common  output-
               orientated measure of TE using the ratio of observed output to corresponding
               frontier output, which can be written as (Coelli et al., 2005):

                                                                      exp( +  − )


                   where TE is technical efficiency of i-th bank at time t,  is the observed
               output and exp ( + ) is the corresponding frontier output. As mentioned
               earlier, TE has a value between 0 and 1, in which TE derives from the output of
               i-th bank relative to a fully-efficient bank’s output, located on the estimated
               frontier curve that utilises the same input vector (Coelli et al, 2005).
                   Cost-efficiency  indicates  how  close  a  bank’s  cost  is  to  that  of  a  best-
               practice bank, which produces the same outputs using the same technology.
               The variable costs of the cost function rely on: the prices of variable inputs, the
               amount  of  variable  outputs,  fixed  netputs  (or  exogenous  factors)  (if  any),
               random errors, and inefficiency (Berger and Mester 1997). The cost-efficiency
               of a bank is measured using the observed bank’s total cost, relative to the total
               cost of a bank on the estimated frontier. Hence, the cost function is described
               as:
                                      ln  = (, , , , ) + ln  + ln     (4)

                   where ln  is the natural logarithm of the observed bank’s total cost, ()
               is the cost frontier’s functional form,  is the vector of input prices,  is the
               vector of outputs,  denotes the vector of control variables (if any) and 
               represents the vector of environmental variables (if any). These control  and
               environmental  variables are included in the cost function to capture the
               heterogeneity effects of cost-efficiency.  is the parameters to be estimated.
               The term ln  +   is treated as a composite error term, where ln  is the
               inefficiency term: a non-negative and one-sided error component that follows


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