Total factor productivity differences: Appropriate technology vs. efficiency

Recent development and growth accounting studies have established that total factor productivity is an important source of cross-country differences in income levels and growth rates. This paper makes two contributions. First, it examines the sensitivity of the development accounting results to the Cobb-Douglas specification of the production function. Second, within the Cobb-Douglas framework, it weighs evidence of the two alternative explanations of total factor productivity differences: the inefficiency view and the appropriate technology view. To accomplish these tasks, the world production frontier is estimated using a nonparametric deterministic approach known as data envelopment analysis. I find that the fraction of income differences explained by physical and human capital increases from 32% to 55% when departing from the Cobb-Douglas assumption. There is also evidence consistent with the appropriate technology view; countries with an inadequate mix of inputs are unable to access the most productive technologies. Moreover, the world technology frontier appears to be shifting out faster at input combinations close to that of the R&D leader. However, inefficiency appears to be the main explanation for low incomes throughout the world; it explains 43% of output variation in 1995, and its importance has increased over time.     

Technical change and total factor productivity growth: The case of Chinese provinces

In the literature technical change (TC) is mostly assumed to be exogenous and specified as a function of the time trend or time dummies. However, some exogenous external factors other than time can also affect TC. In this paper we model TC via time trend (external non-economic) as well as other exogenous (external economic) factors (technology shifters). For this we define technology indices based on the external economic factors and the time trend. The specification of production function is then amended to accommodate these technology indices which are not necessarily separable from the traditional inputs. That is, these technology indices allow for non-neutral shift in the production function. In doing so we are able to decompose TC (a component of TFP change) into two parts. One part is driven by time and the other part is related to producer-specific external economic factors. The latter can further be decomposed into each external economic factors. The empirical model uses panel data on Chinese provinces. We identify a number of key technology shifters and their effect on technical change and TFP growth of provinces are examined.     

Information-consistent learning and shifts in long-run productivity

Recent macroeconomic research has incorporated learning in an inconsistent manner by assuming agents learn with less information than they use in optimization. We present an information-consistent learning framework and illustrate the effects of violating information-consistency.     

Trade and product market policies in upstream sectors and productivity in downstream sectors: Firm-level evidence from China

This paper explores the heterogeneous productivity impact of trade, product market and financial market policies over the last decade in China. The paper makes a critical distinction between downstream and upstream industries, focusing on the indirect effects of regulation in upstream industries on firm performance in downstream manufacturing industries. We identify the differential effect of these policies on firm productivity growth depending on how far incumbents are relative to the technological frontier. Trade and product market reforms are found to deliver stronger gains for firms that are closer to the industry-level technological frontier, while the reverse holds for financial market reforms. The key conclusion that can be derived from the empirical analysis is that further product, trade and financial market reforms would bring substantial gains in China and could therefore speed up the convergence process. Taken at face value, the empirical estimates would imply that aligning product, trade and financial market regulation to the average level observed in OECD countries would bring aggregate manufacturing productivity gains of respectively 9%, 3% and 6.5% after 5 years.     

Social learning,neighborhood effects,and investment in human capital: Evidence from Green-Revolution India

This paper empirically identifies social learning and neighborhood effects in schooling investments in a new technology regime. Social learning implies that learning is most efficient when observed heterogeneity in schooling is greatest. The estimates of learning-investment rule, from farm household panel data at the onset of the Green Revolution in India, show that (i) agents learn about schooling returns from income realizations of their neighbors, and (ii) the speed of learning is high when the variation of schooling is large. Thus, schooling distribution of the parents' generation in a community has externalities to schooling investments in children. Simulations show that the variations in schooling within and across communities generate variations in child enrollment rate and average household income.     

Caste discrimination and transaction costs in the labor market: Evidence from rural North India

This paper is an empirical attempt to quantify caste-based discrimination in the labor market using household data taken from rural North India. In the regression analysis, transaction costs associated with entry into the labor market and reservation wages are estimated simultaneously along with market wages. The estimation results provide evidence of the existence of transaction costs in the labor market and discrimination against backward classes with regard to access to regular employment. In line with previous studies, the results suggest that the achievements of India's reservation policy so far have at best been limited. In addition, a comparison between the estimates from the model employed in this paper and conventional (reduced-form) approaches shows that discrimination in labor market entry is likely to be underestimated in the conventional reduced-form approaches.     

Foreign direct investment in services and manufacturing productivity: Evidence for Chile

This paper examines the impact of substantial foreign direct investment (FDI) inflows in producer service sectors on the total factor productivity (TFP) of Chilean manufacturing firms. Positive effects are obtained in firm fixed effects instrumental variables regressions and show that forward linkages from FDI in services explain 7% of the observed increase in Chile's manufacturing users' TFP. Our findings also suggest that service FDI fosters innovation activities in manufacturing. Moreover, we show that service FDI offers opportunities for laggard firms to catch up with industry leaders.     

Financial liberalization,private investment and portfolio choice: Financialization of real sectors in emerging markets

Using firm level panel data, we analyze the impacts of rates of return gap between financial and fixed investments under uncertainty on real investment performance in three emerging markets, Argentina, Mexico and Turkey. Employing a portfolio choice model to explain the low fixed investment rates in developing countries during the 1990s, we suggest that rather than investing in irreversible long-term fixed investments, firms may choose to invest in reversible short-term financial investments depending on respective rates of returns and the overall uncertainty in the economy. The empirical results show that increasing rates of return gap and uncertainty have an economically and statistically significant fixed investment reducing effect while the opposite is true with respect to financial investments.     

Incomes and Inequality in the Long Run: The Case of German Elderly

Abstract. We use German Sample Survey income data to examine the income distribution for elderly individuals during the period from 1978 to 2003. The elderly population, defined as people of age 55 and older, is decomposed by people resident in the Old and New Federal States. Further, we distinguish between persons receiving old‐age pensions and persons who do not. Inequality estimates are decomposed by income components, and the bootstrap method is used to test for statistical significance of results.