832 research outputs found
Quality assurance for the ALICE Monte Carlo procedure
We implement the already existing macro,$ALICE_ROOT/STEER /CheckESD.C that is
ran after reconstruction to compute the physics efficiency, as a task that will
run on proof framework like CAF. The task was implemented in a C++ class called
AliAnalysisTaskCheckESD and it inherits from AliAnalysisTaskSE base class. The
function of AliAnalysisTaskCheckESD is to compute the ratio of the number of
reconstructed particles to the number of particle generated by the Monte Carlo
generator.The class AliAnalysisTaskCheckESD was successfully implemented. It
was used during the production for first physics and permitted to discover
several problems (missing track in the MUON arm reconstruction, low efficiency
in the PHOS detector etc.). The code is committed to the SVN repository and
will become standard tool for quality assurance.Comment: 7 pages, 7 figure
Integrated Social-sector Macroeconometric Model for Pakistan
While the traditional neoclassical production model postulates that it is the physical inputs such as private capital, labour, land, and technology that are the key determinants of output and economic development, in recent years, however, the social sector variables are also considered to be critical, particularly for the long-run sustainable growth of the economy. If fact, what has been argued in the form of “new growth theories” is that social variables (e.g., education, health, knowledge, etc.) generate “positive externalities” and, thus, may facilitate and foster the process of economic growth and development. Recently, the World Bank, based on a broad cross-country study, found some very interesting results in the above context. According to the World Development Report (1991): about fifty percent of the factor productivity contribution to output growth comes not from traditional physical inputs (capital, labour and land) but is a residual factor.
What Explains the Current High Rate of Inflation in Pakistan?
One of the most significant developments in the current economic scene in Pakistan has been the sharp increase in the rate of inflation. The annual average rate of increase in the wholesale price index (WPI) during the first seven months (July-January 1994-95) of the current fiscal year has been about 19 percent as opposed to 11.3 percent during the same period last year. A similar increase was also witnessed in the consumer price index (CPI) which accelerated to 13 percent as opposed to 11.1 percent during the previous period. Such a sharp increase in prices in recent months has not only caused alarm in the academic circles but has equally disturbed the country’s chief executive, the Prime Minister. The recent surge of inflation is a matter of serious concern for a variety of reasons. First, Pakistan has been a low-inflation country as it has experienced price stability during the last three decades. The rate of inflation, as measured by an increase in the WPI, averaged 2.6 percent during the 1960s. The components of the WPI, i.e., food, raw materials, manufactures, and fuel and lubricants, also grew by an average rate ranging from 2.0 to 3.4 percent p.a. during then 1960s (see Table 1 for relevant statistics). The rate of inflation crossed the single-digit threshold during the 1970s. The WPI and its components increased at an annual average rate ranging from 12 to 18 percent. The double-digit inflation during the 1970s has been the result of two major oil shocks, a massive devaluation of currency, and devastating floods destroying agricultural crops. Pakistan returned to the fold of the single-digit inflation during the 1980s. The rate of inflation remained at the single-digit level during the first three years of the 1990s with the exception of 1990-91, when the rate of inflation increased to 11.7 percent as a result of the Gulf War. It is only during the outgoing fiscal year and in the current year that the rising inflation is posing a major threat to macroeconomic stability.
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