Inequality does cause underdevelopment: Insights from a new instrument

Consistent with the provocative hypothesis of Engerman and Sokoloff [Engermann, Stanley and Kenneth Sokoloff (1997), “Factor Endowments, Institutions, and Differential Paths of Growth Among New World Economies: A View from Economic Historians of the United States,” in Stephen Haber, ed. How Latin America Fell Behind, Stanford CA: Stanford University Press., Sokoloff, Kenneth L. and Stanley L. Engerman (2000), Institutions, Factor Endowments, and Paths of Development in the New World, Journal of Economic Perspectives v14, n3, 217–32.], this paper confirms with cross-country data that agricultural endowments predict inequality and inequality predicts development. The use of agricultural endowments –specifically the abundance of land suitable for growing wheat relative to that suitable for growing sugarcane – as an instrument for inequality is this paper's approach to problems of measurement and endogeneity of inequality. The paper finds inequality also affects other development outcomes – institutions and schooling –which the literature has emphasized as mechanisms by which higher inequality lowers per capita income. It tests the inequality hypothesis for development, institutional quality and schooling against other recent hypotheses in the literature. While finding some evidence consistent with other development fundamentals, the paper finds high inequality to independently be a large and statistically significant barrier to prosperity, good quality institutions, and high schooling.     

Determinants of patent value: Insights from a simulation analysis

This paper contributes to understanding the determinants of patent value. By drawing on a real options approach, we develop a theoretical model of patent value, which explicitly considers the uncertainty about future value. On this basis, we rely on Monte Carlo simulations with data from a case study in a large chemical firm to estimate patent value according to our model. In the simulation analyses, we compare an R&D project with patent protection and the same project without patent protection. The difference of the values of the two projects is the surplus in profit that may be expected from having a patent covering the project. This surplus is regarded as the value that is directly attributable to the patent. The results of the simulation analyses indicate that the development costs and expected net cash flows of a patent-protected project are higher than of an unpatented project. The higher net cash flows outgrow the increased development costs, and patent value is positive. However, this value is smaller than the overall project value of the patent-protected R&D project.     

Inequality within generation: Evidence from France

Intra-generational inequalities focus on the distributions within age groups. On the basis of French household income surveys carried out from 1996 to 2014, the Gini coefficient and D9/D1 inter-decile ratio were calculated so as to evaluate intra-generational income inequality before and after redistribution by the tax and welfare system. Age-Cohort-Period models were then estimated in order to disentangle age and generation effects. Over a life cycle, intra-generational inequality displays a hump-shaped curve peaking at age 55–59. This inequality is significantly lower among the youngest, whichever inequality indicator is used, and among the oldest, when measured by the inter-decile ratio. Comparison of pre- and post-redistribution income reveals that the tax and welfare system particularly reduces inequality among the young. Intra-generational inequality measured by the Gini coefficient increases significantly from one generation to the next. Measured by the inter-decile ratio, the increase is considerable for the gross income of those generations born from the 1970s on. However, the tax and welfare system has compensated for this increase, because analysis of the inter-decile ratio applied to disposable income shows no significant difference between generations.     

Argentina's Feeble Recovery: Insights from a Real Business Cycle Approach

Abstract

Argentina’s GDP increased 30% between 2002 and 2005, prompting optimistic assessments that the country had finally left behind its secular stagnation. However, this strong performance followed a sharp decline in economic activity and therefore could be the manifestation of a bounce‐back effect with no lasting impact on Argentina’s mediocre long‐term growth rates. The paper examines this conjecture with the quantitative discipline imposed by a Real Business Cycle methodology and concludes that the 2002–05 expansion was not only a rebound, but also considerably weaker than the model predicts, a finding not consistent with upbeat views about the country’s long‐term prospects.     

When does a developing country use new technologies?

We develop a model of optimal pattern of economic development that is first rooted in physical capital accumulation and then in technical progress. We study an economy where capital accumulation and innovative activity take place within a two sector model. The first sector produces a consumption good using physical capital and non skilled labor. Technological progress in the consumption sector is driven by the research activity that takes place in the second sector. Research activity which produces new technologies requires technological capital and skilled labor. New technologies induce an endogenous increase of the total factor productivity of the consumption sector. Physical and technological capital are not substitutable while skilled and non skilled labor may be substitutable. We show that under conditions about the adoption process of new technologies, the optimal strategy for a developing country consists in accumulating physical capital first; postponing the importation of technological capital to the second stage of development. This result is due to a threshold effect from which new technologies begin to have an impact on the productivity of the consumption sector. However, we show that once a certain level of wealth is reached, it becomes optimal for the economy to import technological capital to produce new technologies. The authors would like to thank the participants to the seminar of GREDEG, especially Richard Arena, Flora Bellone, Jean-Luc Gaffard and Jacques Ravix, and also the participants to a seminar at European University Institute. We are also grateful to the referees for their very thoughtful remarks and criticisms. Cuong Le Van started writing this joint paper with Olivier Bruno and Benoit Masquin in 2005, in GREDEG.     

Food security in Kenya: Insights from a household food demand model

This paper evaluates the household food security situation in Kenya in terms of access to food. We apply a quadratic almost ideal demand system (QUAIDS) model to nationally representative household survey data from Kenya, and estimate and interpret price and expenditure elasticities as indicators of household sensitivity to market shocks. Our estimation results show positive expenditure elasticities, close to unity, while all compensated and uncompensated own-price elasticities are negative and smaller in magnitude. A complementary welfare analysis shows high compensated variations in the long run, ranging between 34% and 131% across food groups. This suggests that rising relative food costs have led to deterioration of the food security situation in Kenya, and the most severely affected households seem to be those that rely on informal markets and reside in rural areas. To improve food security, targeted income support could be a more effective policy than price support, given the much higher estimated expenditure elasticities.     

Intergovernmental grants as a tactical instrument: empirical evidence from Swedish municipalities

Are grants to Swedish municipalities tactical, that is, do parties use these in order to get elected? In this paper, the theoretical model of Lindbeck and Weibull and Dixit and Londregan is tested, using panel data on 255 Swedish municipalities for the years 1981–1995. The empirical implication of the theory is that groups with many swing voters will receive larger grants than other groups. In the paper, a new method of estimating the number of swing voters is proposed and used. The results support the hypothesis that intergovernmental grants are used in order to win votes.     

Inequality in National Inter-Generational Transfers: Evidence from Colombia

Public transfers are designed with the idea of reducing poverty and inequality among specific population groups. The National Transfers Account methodology suggests the use of household head education (HHE) as a poverty proxy in the construction of profiles by socio-economic status. Considering the higher levels of inequality in developing countries, we construct and check inequality and intergenerational transfers using an alternative measure based on variables not endogenous to the underlying idea of intergenerational transfers: a Multidimensional Quality of Life Index (MQLI). We apply the methodology to a developing country, Colombia, and show that inequality and disparities in intergenerational transfers are best understood when using the MQLI.     

Inequality and Saving: Further Evidence from Integrated Economies

Renewed attention to inequality and saving has arisen owing to their pronounced implications for global imbalances and financial crises. We show that the relationship between saving and inequality is negative if savers' funds are borrowed by spending households for consumption as in the USA, but positive if saving is allocated through financial systems to investing firms for production as in China. This theoretical result is largely consistent with empirical evidence found from these two increasingly integrated economies and other related countries by estimating panel‐data models. The policy implication is that inequality must be reduced in order to increase saving in the USA and other Organisation for Economic Co‐operation and Development (OECD) countries and to boost consumption in China and other parts of emerging Asia.     

Trade and Rural-Urban Income Inequality: Evidence from China

Using the provincial panel data from 1978 to 2007, this paper makes an empirical analysis of the relationship between international trade and rural-urban income inequality in China. The results show that international trade has a fundamental impact on rural-urban income inequality. For the whole country, the development of international trade from 1978 to 2007 enlarged the rural-urban income gap. During the three different periods (defined in section 3.3), the impact was also noticeable in terms of extent, direction and significance respectively at the national and regional levels. During the three periods, the relationship has an inverted “U” shape for China as a whole, central China and western China, but for eastern China the relationship has a “U” shape. At the same time, exports and imports have different influences on the rural-urban income gap in China, the influences were also different across regions; and the imports has had a more significant influence on these regions than exports has had.     

Trade Liberalization and Wage Inequality: Evidence from India

We evaluate empirically the impact of the dramatic 1991 trade liberalization in India on the industry wage structure. The empirical strategy uses variation in industry wage premiums and trade policy across industries and over time. In contrast to most earlier studies on developing countries, we find a strong, negative, and robust relationship between changes in trade policy and changes in industry wage premiums over time. The results are consistent with liberalization‐induced productivity increases at the firm level, which get passed on to industry wages. We also find that trade liberalization has led to decreased wage inequality between skilled and unskilled workers in India. This is consistent with the magnitude of tariff reductions being relatively larger in sectors with a higher proportion of unskilled workers.     

Sectoral Structure and Change: Insights from Marx

ABSTRACT

At the time of Marx’s birth two centuries ago, the Industrial Revolution was well underway, and the economic and social changes which it wrought formed the backdrop to Marx’s own ideas. The advanced economies of the world were then industrialising, yet today most countries are deindustrialising. What light can a Marxist analysis shed on sectoral structure, sectoral specificity and sectoral change in the early 21st century? A Marxist approach is distinctive and valuable in how it approaches these sectoral issues, and the following interrelated aspects are discussed here: classifying activities in the first instance according to position in the circuit of capital rather than by sectors; a non-phenomenological approach to classifying activities; a non-physicalist conception of commodities; underscoring the extent of intra-sectoral heterogeneity; recognising the importance of manufacturing and of industrialisation; and implications for analysing changes in sectoral structure.     

Inequality and criminality revisited: further evidence from Brazil

The objective of this study is to shed light on the determinants of criminality rates in Brazil. A panel data model was estimated using Brazilian states’ data. Our main result suggests that income inequality plays an important role in the determination of the crime rate. Furthermore, there are evidence suggesting that both unemployment and urbanization rates are positively related to crime. Based on a GMM approach we find the existence of an “inertial effect” on criminality. Besides that, the GMM results show that public security spending is effective in reducing criminality rates. Contrary to the common wisdom, we could not find evidence that poverty increases violent crimes. Finally, we have evidence that income inequality Granger causes crime, but not the reverse.     

Income Inequality and Economic Growth: Evidence from American Data

While most cross-country studies find a negative relationship between income inequality and economic growth, studies that use panel data suggest the presence of a positive relationship between inequality and growth. This paper uses a cross-state panel for the United States to assess the relationship between inequality and growth. Using both standard fixed effects and GMM estimations, this paper does not find evidence of a positive relationship between inequality and growth but finds some evidence in support of a negative relationship between inequality and growth. The paper, however, shows that the relationship between inequality and growth is not robust and that small differences in the method used to measure inequality can result in large differences in the estimated relationship between inequality and growth.     

Inequality of opportunity and mass incidents: Evidence from China

This paper is one of the first to quantitatively analyse the relationship between inequality of opportunity and social stability in the context of China. Utilizing Census data of 2005 and the data of recorded mass incidents, we find a positive and robust correlation between inequality of opportunity and the outbreak of mass incidents. Amongst different types of mass incidents, inequality of opportunity displays the most significant correlation with those involving the government and the public. We also identify the lack of trust and higher unemployment as two potential channels through which inequality of opportunity exerts impacts on the happening of mass incidents.     

How Inequality Affects Trust in Institutions: Evidence from Indonesia

Trust is an important ingredient to improve economic performance and people's welfare by alleviating market failures caused by imperfect information, costly enforcement, or coordination failures. Using the World Values Survey 2018, we estimate the impact of village and district levels inequality on trust in institutions in Indonesia. We find that higher village level inequality has a negative effect only on trust in strangers, while higher district level inequality reduces trust in television, the press, the central government, the courts, and the police. The implication points to the importance of keeping inequality at the aggregate level in check to maintain people's trust in social, political and state institutions.     

Austrian theories of entrepreneurship: Insights from complexity theory

This paper examines various Austrian theories of entrepreneurship through the lens of complexity theory, more specifically via the concept of a dancing fitness landscape. Problems in many fields (including economics) can be characterized as attempting to find the highest peak on a fitness landscape (which corresponds to an efficient or optimal resource allocation). A rugged fitness landscape is one characterized by many peaks and troughs, while a dancing fitness landscape is one where the peaks and troughs change over time due either to exogenous or endogenous activity. I argue that several key disagreements among Austrian economists can be better understood through the metaphor of a fitness landscape. The implications of this insight for various branches of Austrian economics are also considered. This study is timely as radical Austrian views are starting to percolate into business schools leading to increased debate among management scholars about the precise nature of the entrepreneurial process (Chiles et al. 2007; Sarasvathy and Dew 2008; Alvarez et al. 2010).