Human capital is increasingly believed to play an important role in the growth process, however, adequately measuring its stock remains controversial. In this paper three general approaches to measurement are identified; cost-based, income-based and educational stock-based. This survey focuses on the first two approaches and provides a critical review of the theories and their applications to data from a range of countries. Particular emphasis is placed upon the work of Fraumeni (1989, 1992) and some new results for New Zealand based upon their approach are also presented.
The economies of the former Soviet Bloc experienced large declines in output during the decade of transition which began with the collapse of the Soviet Union in 1991. Yet there are many reasons to believe that measured output and official deflators provide a poor proxy for the change in real living standards in transition economies. This paper uses the Engel curve methodology developed by Hamilton [Hamilton, B. 2001. "Using Engel's Law to Estimate CPI Bias" American Economic Review 91 (3): 619-630] to examine changes in real living standards in Russia during the transition period and to provide an estimate of how much the official Russian CPI has overstated consumer inflation. We also examine changes in consumer durables, home production, and subjective well-being to further evaluate changes in living standards. Our findings indicate that CPI bias has caused a substantial understatement of the growth performance of the Russian economy during the transition. Even just allowing household final consumption to be deflated with bias, we find that the level of real per capita GDP in 2001 may be understated by up to 30% compared with using a bias-corrected deflator. Our analysis of consumer durables, home production, and subjective well-being supports the conclusion that the decline in living standards has been substantially less than what is inferred by looking at official statistics on real output.
The economies of the former Soviet Bloc experienced large declines in output during the decade of transition which began with the collapse of the Soviet Union in 1991. Yet there are many reasons to believe that measured output and official deflators provide a poor proxy for the change in real living standards in transition economies. This paper uses the Engel curve methodology recently developed by Hamilton (2001) and Costa (2001) to examine changes in real living standards in Russia during the transition period and to provide an estimate of how much the official Russian CPI has overstated consumer inflation. We also examine changes in consumer durables, home production, and subjective well-being to further evaluate changes in living standards. Our findings indicate that CPI bias has caused a substantial understatement of the growth performance of the Russian economy during the transition. Even just allowing household final consumption to be deflated with bias, we find that the level of real per capita GDP in 2001 may be understated by up to thirty percent compared with using a bias-corrected deflator. Our analysis of consumer durables, home production, and subjective well-being supports the conclusion that the decline in living standards has been substantially less than what is inferred by looking at official statistics on real output.
Many developing countries lack spatially disaggregated price data. Some analysts use "no-price" methods by using a food Engel curve to derive the deflator as that needed for nominally similar households to have equal food shares in all regions and time periods. This method cannot be tested in countries where it is used as a spatial deflator since they lack suitable price data. In this paper, data from Vietnam are used to test this method against benchmarks provided by multilateral price indexes calculated from repeated spatial price surveys. Deflators from a food Engel curve appear to be a poor proxy for deflators obtained from multilateral price indexes. To the extent that such price indexes reliably compare real living standards over time and space, these results suggest that estimates of the level, location, and change in poverty and inequality would be distorted if the Engel method deflator was used in their stead.
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