Cognitive abilities and income: preliminary evidence from a developing country

Abstract

Purpose Related literature finds that human capital proxied by cognitive abilities is an important antecedent of numerous specific life outcomes. The purpose of this study is to extend existing evidence by investigating the link between cognitive skills and income in Tajikistan. Tajikistan is a landlocked low-income country situated in Central Asia. Its population is 9.1 million people and gross domestic product per capita of US$822. According to the World Bank, Tajikistan has made significant progress in decreasing poverty levels from 83% in 2000 to 29.5% in 2017. Design/methodology/approach The data for this study comes from the 2013 Jobs, Skills and Migration Survey conducted by the World Bank and the German Society for International Cooperation. The main explanatory variable of the study is the cognitive abilities index of the respondents. The survey used item response theory (IRT) approach to estimate the ability of respondents. IRT is a method or a set of statistical frameworks, used to explore assessment item data, such as cognitive abilities assessment data. The wage function was estimated using the ordinary least squares method because the results are easier to interpret (Jencks, 1979; Bowles et al., 2001; Groves, 2006). Findings The baseline results are reported in Table 2. The results in Column 1 demonstrated the link between cognitive abilities and income without control variables (unconditional model). As expected, cognitive abilities are positively and significantly related to income (a1 = 0.0715, p < 0.01). The results from the unconditional model suggest that one standard deviation increase in cognitive abilities is associated with a nearly 17% increase in income. Research limitations/implications However, the study has a number of limitations. First, the dependent variable measures the overall income of the respondent, which includes the profit from other businesses. The survey does not provide data on monthly wages of respondents. Second, the sample may not perfectly represent the overall population of Tajikistan. To partially resolve this issue, this paper re-estimated out results for various sub-samples. Another important limitation of this study is the lack of respondent’s family background, which is an important correlate of human capital and income. Practical implications The results in the study offer preliminary evidence on the link between cognitive abilities and income in Tajikistan. However, the results of the study also suggest that both measures of human capital are positively related to income. Therefore, policymakers in Tajikistan should invest greater resources to health care, education and training programs as cognitive skills can be built in particular in the early stages of the life cycle. Indeed, Tajikistan has a significant potential for economic growth model driven by human capital. According to the World Bank, the adult literacy rate in Tajikistan is 100%, which is significantly above of what is observed in other developing countries. This may imply that the human potential in this country is considerable, and further investment in soft and hard skills would have a positive impact on economic growth. Originality/value This paper offers new evidence on the link between cognitive abilities and income, using data from Tajikistan. First, this paper finds that cognitive abilities are positively and significantly correlated with income. Second, this paper finds that this link remains robust even when this paper control for a large set of personal and job-related characteristics. The results from the unconditional model suggest that one standard deviation increase in cognitive abilities is associated with nearly a 17% increase in income.