The NAIRU reconsidered: why labour market deregulation may raise unemployment

According to the mainstream theory of equilibrium unemployment, persistent unemployment is caused mainly by ‘excessive’ labour market regulation, whereas aggregate demand, capital accumulation and technological progress have no lasting effect on unemployment. We show that the mainstream non‐accelerating inflation rate of unemployment (NAIRU) model is a special case of a general model of equilibrium unemployment, in which aggregate demand, investment and endogenous technological progress do have long‐term effects. It follows that labour market deregulation does not necessarily reduce steady‐inflation unemployment. Theoretically, if the decline in real wage growth claims owing to deregulation is smaller than the ensuing decline in labour productivity growth and in the warranted real wage growth, then in that case steady‐inflation unemployment may increase. Empirical evidence for 20 Organisation for Economic Cooperation and Development (OECD) countries (1984–1997) indicates that the impact of labour market deregulation on OECD unemployment is zero, and possibly negative (causing a higher rate of unemployment).     

Embodied Technological Change,Learning‐by‐doing and the Productivity Slowdown*

The productivity slowdown in the US economy since the first oil shock has recently been associated with a larger decline rate of the relative price of equipment investment and a smaller rate of disembodied technical change. We set up a growth model in which learning‐by‐doing is the engine of both embodied and disembodied technological progress. A shift in the relative efficiency of learning‐by‐doing from the consumption to the investment sector is shown to imply a technological reassignment consistent with the above‐mentioned evidence. This result derives from the interaction between the obsolescence costs inherent in embodiment and the learning‐by‐doing engine.     

A Schumpeterian model of equilibrium unemployment and labor turnover

This paper constructs a general equilibrium model of equilibrium unemployment by combining an endogenous growth model with a variant of equilibrium search theory. The analysis offers two explanations for the causes of widening wage gap between skilled and less-skilled labor, and rising unemployment rate among the less skilled: technological change in the form of an increase in the size of innovations or skilled labor saving technological change in R&D activity. In addition, the model identifies two distinct effects of faster technological progress on the aggregate unemployment rate. First, it increases the rate of labor turnover and therefore increases the aggregate unemployment rate – the creative destruction effect. Second, it creates R&D jobs, which offer workers complete job security, and consequently reduces the aggregate unemployment rate – the resource reallocation effect.     

技术进步对我国产出失业关系的影响分析

最近十几年来,我国经济出现了高增长和高失业并存的现象。可分劳动动态随机一般均衡模型模拟结果表明,技术进步促进了产出增长,同时也促进了就业增长,但对就业增长的促进作用明显小于对产出增长的促进作用,同时与技术进步相伴的资本投入也对劳动起到了替代作用。在经济活动人口不断增加的背景下,技术进步对产出和就业增长影响的不对称性,是我国高增长和高失业并存的重要原因。     

Migrants as second-class workers in urban China? A decomposition analysis

In urban China, urban resident annual earnings are 1.3 times larger than long-term rural migrant earnings as observed in a nationally representative sample in 2002. Using microsimulation, we decompose this difference into four sources, with particular attention to path-dependence and statistical distribution of the estimated effects: (1) different allocation to sectors that pay different wages (sectoral effect); (2) hourly wage disparities across the two populations within sectors (wage effect); (3) different working times within sectors (working time effect); and (4) different population structures (population effect). Although sector allocation is extremely contrasted, with very few migrants in the public sector and very few urban residents working as self-employed, this has no clear impact on earnings differentials, because the sectoral effect is not robust to the path followed for the decomposition. The second main finding is that the population effect is robust and significantly more important than wage or working time effects. This implies that the main source of disparity between the two populations is pre-market (education opportunities) rather than on-market.     

Decomposition of inter-regional poverty gap in India: a spatial approach

This paper examines the impact of various socio-economic factors on consumption in rural West Bengal, an eastern state of India, using a regression-based technique reformulated in a spatial framework. The difference of incidences of poverty (head count ratios) in two parts (North and South) of rural West Bengal is then decomposed using the familiar Oaxaca decomposition methodology into an aggregate characteristics effect, which is interpreted as a resource effect and an aggregate coefficients effect, which is interpreted as an efficiency effect. An important observation from the present analysis is that the poorer North Bengal has a scarcity in terms of availability of characteristics (resources) compared to that in South Bengal and the resource scarcity in North Bengal is the dominant factor causing the poverty gap between the two parts of West Bengal. Thus, attention needs to be paid to North Bengal with respect to enhancement of important policy variables like education level, Government aid, and employment opportunities.     

Economic growth, international trade and air pollution: A decomposition analysis

This study analyzes the impact of economic growth and international trade on the level of air pollution. This is done by the estimation of the Structural Equation Model with two factors describing the structure of economic activity and air pollution intensity. It is further assumed that there is causal link between these two factors and that they are influenced by per capita income, international trade intensity and the Freedom House Index.The estimation results suggest that in the developing countries analyzed both international trade and per capita income lead to changes in the structure of economic activity and - as a consequence - to the increase in air pollution. In addition, the estimation results suggest that the impact of economic growth on air pollution intensity varies between the developing and developed countries. In the developing countries, this impact occurs through the change of the structure of economic activity, while in the developed countries, this impact is mainly direct and occurs through the sum of the scale effect and income effect. The positive sign of this impact suggests the dominance of the scale effect over the income effect.     

The strategy of manipulating joint decision-making

We study a model of strategic persuasion based on the theory of cheap talk, in which a better-informed agent manipulates two decision-makers’ joint decision on alternative proposals. With the heterogeneity of two decision-makers’ value of the outside option, only the decision-maker with the better outside option is critical in determining whether communication is truthful, overselling, or ineffective.     

Technological unemployment in industrial countries

Using annual data on 21 industrial countries from the period 1985 to 2009 and a large number of controls, this paper empirically analyzes the impact of technological change on unemployment. As proxy for technological change, it uses the ratio of triadic patent families to population. According to the regression results, an increase in technological change substantially increases unemployment over 3 years. There is no long-term effect, though. The results are robust to both endogeneity and numerous variations in specifications. They support theoretical contributions according to which faster technological progress may increase unemployment, at least during a transition period.     

Perpetual growth,the labor share,and robots

ABSTRACT

The recent literature on the economic effects of machine learning, robotization and artificial intelligence suggests that there may be an upcoming wave of substitution of human labor by machines. We argue that these new technologies may lead to so-called perpetual growth, i.e. growth of per capita income with a non-progressing state of technology. We specify an exact parameter threshold beyond which perpetual growth emerges, and argue that ongoing technological change may bring the threshold in reach. We also show that in a state of perpetual growth, factor-eliminating technological progress reduces the role of labor in the production process and that this leads to a rising wage rate but ever-declining share of wage income. We present simulation experiments on several policy options to combat this inequality, including a universal basic income as well as an option in which workers become owners of ‘robots’.     

Carbon leakage revisited: unilateral climate policy with directed technical change

Using a stylized theoretical model, we argue that current economic analyses of climate policy tend to over-estimate the degree of carbon leakage, as they abstract from the effects of induced technological change. We analyse carbon leakage in a two-country model with directed technical change, where only one of the countries enforces an exogenous cap on emissions. Climate policy induces changes in relative prices, that cause carbon leakage through a terms-of-trade effect. However, these changes in relative prices also affect the incentives to innovate in different sectors. This leads to a counterbalancing induced-technology effect, which always reduces carbon leakage. We therefore conclude that the leakage rates reported in the literature may be too high, as these estimates neglect the effect of price changes on the incentives to innovate.      

Embodiment, productivity, and the age distribution of capital

An important theme in modern research on productivity has been that technological progress may be embodied in capital in the sense that traditional measures of TFP growth reflect unmeasured improvements in the quality of capital inputs as well as pure disembodied technological progress. It is commonly believed that an implication of this embodiment hypothesis is that there should be a negative relationship between measured TFP and the age of the measured capital stock. This paper presents empirical evidence which suggests that an increase in the age of the capital stock is actually associated with higher TFP growth. This surprising result may be due to the presence of a mis-measurement normally overlooked in this literature: With mis-measured improvements in capital quality, the usual depreciation rates used to construct empirical capital stocks are incorrect for growth accounting. This effect dominates the usual average age effect.     

Is Embodied Technology the Result of Upstream R&D? Industry-Level Evidence

This paper provides an exploratory analysis of whether data on the research and development (R&D) spending directed at particular technological/product fields can be used to measure industry-level capital-embodied technological change. Evidence from the patent literature suggests that the R&D directed at a product, as the main input into the “innovation” production function, is proportional to the value of the innovations in that product. I confirm this hypothesis by showing that the decline in the relative price of a good is positively correlated with the R&D directed at that product. The hypothesis implies that the technological change, or innovation, embodied in an industry's capital is proportional to the R&D that is done (“upstream”) by the economy as a whole on each of the capital goods that a (“downstream”) industry purchases. Using R&D data from the National Science Foundation, I construct measures of capital-embodied R&D. I find they have a strong effect on conventionally measured total-factor productivity growth, a phenomenon that seems to be due partly to the mismeasurement of quality change in the capital stock and partly to a positive correlation between embodied and disembodied technological change. Finally, I find the cross-industry variation in empirical estimates of embodied technological change accord with the cross-industry variation in embodied R&D. Journal of Economic Literature Classification Number: O3.     

THE IMPACT OF TFP GROWTH ON STEADY‐STATE UNEMPLOYMENT*

Theoretical predictions of the impact of total factor productivity (TFP) growth on unemployment are ambiguous, and depend on the extent to which new technology is embodied in new jobs. We evaluate a model with embodied and disembodied technology, capitalization, and creative destruction effects. In econometric estimates with a panel of industrial countries we find a large negative impact of TFP growth on unemployment, which implies that embodied technology and creative destruction play no role in the steady‐state dynamics of unemployment. Capitalization effects explain some of the estimated impact but a part remains unexplained.     

Total factor productivity and R&D capital in the spanish economy, 1965–1980

A formal model of productivity growth and technical progress is presented. The model takes into account embodied and disembodied technical progress as explanatory variables. The slowdown in productivity growth for the Spanish economy after 1972 is explained for 92% by the decline in the rate of growth of technical progress originated from domestic R&D and technology imports.     

The Dynamics of Technological Unemployment*

This article compares the short‐ and long‐run effects of technological progress on employment. It presents a simple model of frictional unemployment capturing the negative creative destruction effects of technological change on employment. In the long run, faster technological change accelerates job obsolescence, which reduces the equilibrium level of employment. But it is also shown to have short‐run positive and potentially important effects on employment. This tends to partially reconcile the ‘‘Schumpeterian'’ view of the effects of technological change on labor markets with facts such as the response of most OECD unemployment rates to the 1970s productivity slowdown.     

Induced technological change and the attractiveness of CO2 abatement policies

This paper investigates the significance of induced technological change (ITC) for the attractiveness of CO₂ abatement policies. We use analytical and numerical general equilibrium models in which technological change results from profit-maximizing investments in R&D. We show that carbon abatement policies have very different impacts on R&D across industries, and do not necessarily raise the economy-wide rate of technological progress. Focusing only on the sectors with positive R&D impacts can lead to substantial underassessment of the GDP costs of CO₂ abatement policies. The presence of ITC implies lower costs of achieving a given abatement target, but it implies higher gross costs (costs before netting out environment-related benefits) of a given carbon tax. Gross costs depend importantly on the efficiency of R&D markets prior to the introduction of CO₂ policies.     

The effectiveness of international knowledge spillover channels

Using panel data from 16 Organization for Economic Cooperation and Development (OECD) countries for the period 1981–2000, we examine the significance of international knowledge spillovers through inward and outward foreign direct investment (FDI), intermediate goods imports, and a disembodied direct channel. Knowledge spillovers through the disembodied direct channel are approximated by using a measure of technological proximity and patent citations between countries. Using estimation models that reflect recent developments in non-stationary panel data econometrics, we show that international knowledge spillovers through inward FDI and the disembodied direct channel are significant and robust. In contrast, outward FDI and imports of intermediate goods are not conducive to international knowledge spillovers.     

Long run trends in unemployment and labor force participation in urban China

Unemployment rates in countries across the world are strongly correlated with GDP. China is an unusual outlier from the pattern, whose official government statistics show abnormally low, and suspiciously stable, unemployment rates relative to its GDP. This paper reports estimates of China’s unemployment rate for its local urban Hukou population using a more reliable, nationally representative dataset for that population than in prior work, and which spans a longer period of history than in the past literature. The unemployment rates we calculate differ dramatically from those supplied in official data and are much more consistent with what is known about key historical developments in China’s labor market. The rate averaged 3.7% in 1988–1995, when the labor market was highly regulated and dominated by state-owned enterprises, but rose sharply during the period of mass layoff from 1995 to 2002, reaching an average of 9.5% in the subperiod from 2002 to 2009. The rates were even higher when demographic composition is held fixed. We can also calculate labor force participation rates, which are not available in official statistics at all. We find that they declined throughout the whole period, particularly in 1995–2002 when the unemployment rate increased most significantly. We also find that the impacts of these changes fell most heavily on the unskilled (women, those with less education, and younger individuals). Finally, estimates of unemployment and labor force participation rates are also provided for all urban residents, including migrants without local urban Hukou, and show the same patterns of change over time.     

Technology Shocks and Job Flows

We consider a version of the Solow growth model where technological progress can be investment specific or investment neutral. The labour market is subject to search frictions, and the existing productive units may fail to adopt the most recent technological advances. Technological progress can lead to the destruction of technologically obsolete jobs and cause unemployment. We calibrate the model to replicate the high persistence that characterizes the dynamics of firms' neutral technology and the frequency of firms' capital adjustment. We find that neutral technological advances increase job destruction and job reallocation and reduce aggregate employment. Investment-specific technological advances reduce job destruction, have mild effects on job creation, and are expansionary. Hence, neutral technological progress prompts Schumpeterian creative destruction, while investment-specific technological progress operates essentially as in the standard neoclassical growth model. Using structural VAR models, we provide support to the key dynamic implications of the model.