Purpose – The purpose of this paper is to validate the Endogenous Growth Model by examining the impacts of Human Capital (HK) and Foreign Direct Investment (FDI) on economic growth in ten countries from Commonwealth of Independent States (CIS). Design/methodology/approach – For empirical investigation, a linear regression model based on growth theory and panel data set covering the time-period from 1993 to 2011 are used. Fixed and random effects models are applied. On the basis of the Hausman test, the fixed effects model has been preferred over the random effects model. Findings – The results support the hypothesis of the study by confirming that HK development is critical for economic growth. Similarly, FDI has been found to have a facilitating role in promoting growth in the former Soviet Republics now comprising Central Asian independent economies. This is despite of the fact that there are country-specific differences across CIS. Practical implications – The findings suggest that investment climate in the host countries must be enriched through suitable policies. Improved domestic conditions not only enhance the performance of multinational corporations but also allow host economies to reap greater benefits of FDI inflows. Moreover, the findings demonstrate that investment in both education and health are indispensable. Therefore, improved levels of education and health should be the primary objective running concurrently with other factors in order to stimulate economic growth. Originality/value – The choice of CIS has been made because very little research has been found for the region particularly in the area of economic growth despite strong evidence of commonality in terms of landlocked geographical layout and economic and political structures of these economies. The region has gained importance gradually after independence of these states; and it has started to attract foreign funds in the shape of FDI only recently. Thus, there is a need to evaluate the future prospects pertaining to the importance of FDI and HK on growth performance of these economies and will insistently contribute to the literature.

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A near-consensus position in modern macroeconomics is that policy rules have greater advantage over discretion in improving economic performance. For developing countries in particular, simple instrument rules appear to be feasible options as pre-requisites since more sophisticated targeting rules are generally lacking. Using Pakistan’s data, this study has attempted to estimate the Taylor rule and use it as monetary policy strategy to simulate the economy. Our results indicate that the State Bank of Pakistan (SBP) has not been following the Taylor rule. In fact, the actual policy has been an extreme deviation from it. On the other hand, counterfactual simulation confirms that macroeconomic performance could have been better in terms of stability of inflation and output, had the Taylor rule been adopted as monetary policy strategy. The study also establishes that further gains are possible if the parameter values of the rule are slightly modified. JEL classification: E47, E31, E52 Keywords: Taylor Rule, Macroeconomic Performance, Counterfactual Simulation

This paper estimates the short-run performance of IPOs issued on the

Ever since the pioneering work on human capital modeling by Becker (1964) and Mincer (1974), estimation of earning potential and wage differentials in terms of differences in human capital endowments has been a favourite topic of research throughout the world. The empirical evidence has established, may be beyond doubt, that low returns are usually associated with low-level of human capital possessed by economic agents. Using appropriate controls for innate abilities, education, experience and training as primary determinants of human capital, the residual differential in wages among differentiated groups (on the basis of gender, race, and region) has often been characterised as discrimination [Blinder (1973) and Oaxaca (1973)]. The empirical estimation made further advances when the issue of sample selection bias was also settled by Heckman (1980). More recently the focus of research has shifted from differentials measured at the conditional mean (average) value to measurement at different points of wage distribution to test the ‘glass ceiling and sticky floor’ hypothesis.1 Some of the studies where quantile regression approach of Koenker and Bassett (1978) and Buchinsky (1998) has been adopted include Bjorklund and Vroman (2001), Dolado and Llorens (2004), and Albrecht, Vuuren, and Vroman (2004). On the basis of this research, the glass ceiling hypothesis has received fair amount of empirical support in much of the developed world. On the other hand, the sticky floor hypothesis has only been observed in some of the countries located in the southern Europe. The focus of present study is on Pakistan with three main objectives. First, to investigate if analysis at the conditional mean is sufficient to explain wage differential or an extensive work covering different points of wage distribution is required to have proper insight to the issue. This would, in turn, enable us to determine which of the two hypotheses, i.e., the glass ceiling or the sticky floor, is prevalent in the country? For this purpose, gender wage differentials at different quantiles, i.e., 10th, 25th, median,

Econometric models are generally constructed for a specific country on the assumption that national economies are independent. In reality, this is not the case. In this paper, we have constructed prototype linkage econometric models for Pakistan, India, Bangladesh and Sri Lanka, These models are linked to each other through foreign-trade equations to explore possibilities of fruitful economic cooperation among these four countries Policy simulations, carried out to highlight the pay-off of specific policies in terms of the stated objective, show that, given the resolve of these countries to extend the area of collaboration, the prospects are by no means dim. There is also the extra bonus that the growth of GNP in the region will also be helped by mutual economic co-operation. The need for conscious policy decisions to this effect has been underscored.

Monetary policy which until recently aimed at targeting monetary aggregates has quietly given way to adjusting interest rates. Most of the Central Banks now focus on money reaction function that directly targets inflation or price level. This paper examines the way monetary policy is being conducted in the four major South Asian economies, namely, Bangladesh, India, Pakistan and Sri Lanka. The analysis is based on a variant of the Taylor rule framework. Using quarterly data over the period 1990Q1 to 2012Q4, the study finds that the monetary authorities in India, Pakistan and Sri Lanka have accommodated some degree of inflationary pressure, whereas Bangladesh has continuously smoothened interest rate while setting its monetary policy. Besides pursuing a mild monetary policy stance against inflation, India, Pakistan and Sri Lanka are also giving importance to foreign interest rate and real exchange rate movements to justify their relevance in monetary policy setting. However, the same has not been found to be true for Bangladesh. JEL Classification: E52, E58, E60 Keywords: Monetary Policy Rule, Central Banks, SAARC Countries

Why do factors of production, especially the labour, migrate from one region or sector to another? This question, which remains fundamental to economic and human resource development, has been a major topic among researchers. While considerable progress has been made in developing a theoretical model of migration, the empirical verification of this model using individual level data has remained unresolved. With the availability of Population, Labour Force, and Migration (PLM) Survey data, this paper attempts to develop a model of internal migration in Pakistan, to serve as a guiding paradigm to write down a model for meaningful estimation. Keeping in line with the literature, three types of variables have been identified as the possible determinants of migration. These variables relate to the possession of human capital, commitment to job and place of residence, and cost-related factors. After controlling for other variables, it was observed that, in general, migrants were selective especially in terms of age, education, and choice of occupation. These findings are consistent with the evidence from other developing countries.