The anatomy of the aggregate labor supply elasticity

We show that the aggregate Frisch elasticity of labor supply can greatly exceed the corresponding individual-level parameter, and we illustrate the “anatomy” of the former in terms of intensive and extensive margins. The methodology consists of using micro data from the PSID to construct a panel of individuals and an aggregate time series obtained by aggregating these individuals each year. These two data sets represent exactly the same sample at different levels of aggregation, and we use them to identify the parameters of two distinct MaCurdy-type micro and macro equations. We find a micro elasticity of about 0.1 and a much larger macro elasticity that ranges from 1.1 to 1.7. There is no conflict between the two estimates: the micro one reflects only the intensive margin while the macro one reflects, in addition, the much more volatile extensive margin. Furthermore, aggregation of only continuously employed individuals allows us to provide a reliable estimate of the intensive margin elasticity in the range 0.3–0.4. This implies an extensive margin elasticity in the range 0.8–1.4. These findings suggest that micro evidence is not a benchmark for assessing how large the Frisch elasticity of labor supply should be in a model of the aggregate economy.     

Regional and sectoral dynamics of the Dutch staffing labor cycle

This study analyzes the dynamic characteristics of staffing employment across different business sectors and across different geographical regions in The Netherlands. We analyze a micro data set of the market leader of the Dutch staffing employment market, i.e. Randstad. We apply the dynamic factor model to extract common information out of a large data set and to isolate business cycle frequencies with the aim of forecasting staffing and total employment. We identify regions and sectors whose cyclical developments lead the staffing labor cycle at the country level. The dynamic factor model exploits these leading characteristics at the disaggregate level to forecast the country aggregate. Finally, both dynamic and static factors turn out to be predictive summary statistics of the micro data set when employed to forecast total employment at the country level.     

Animal spirits and the composition of innovation in a lab-equipment R&D model with transition

We study the effect of animal spirits on the composition of aggregate R&D, the consumption level and economic growth in a tournament model of horizontal and vertical R&D. By considering a full lab-equipment specification, the model predicts a positive effect of animal spirits on the balanced-growth-path (BGP) level of per-capita consumption without impacting on economic growth and on aggregate vertical R&D. However, transition is slower under “waves of enthusiasm”, implying a longer period in which growth rates are higher than the BGP level. An economy that is subject to expectations shocks then converges at a time-varying speed. On average over time, transition is longer but less “painful”—i.e., with higher per-capita consumption levels—than otherwise.     

INDUSTRIAL AND AGGREGATE MEASURES OF PRODUCTIVITY GROWTH IN CHINA, 1982–2000

We estimate productivity growth for 33 industries covering the entire Chinese economy using a time series of input–output tables covering 1982–2000. Capital input is measured using detailed investment data by asset and labor input uses demographic information from household surveys. We find a wide range of productivity performance at the industry level. We then show how these industry growth accounts may be consistently aggregated to deliver a decomposition of aggregate GDP growth. For the 1982–2000 period aggregate TFP growth was 2.5 percent per year; decelerating from a rapid rate in the early 1980s to negative growth during 1994–2000. The main source of growth during the 1982–2000 period was capital accumulation, with a small negative contribution from the reallocation of factors across industries.     

Real Wages,Demand and Employment in the UK 1921–1938: A Disaggregated Analysis

This paper uses the Layard and Nickell model of the labour market to examine the determinants of employment at a sectoral level for the interwar UK economy. Sectoral level data permits examination of the differing responses to changes in the determinants of employment. Estimation of employment functions indicates significant elasticities with respect to aggregate demand variables across a wide range of sectors but less support for a negative real wage effect, particularly in those industries responsible for major losses in employment. The evidence is therefore more consistent with the low-aggregate-demand explanation of labour market behaviour than it is with the high-real-wage hypothesis.     

The income–pollution relationship and the role of income distribution: An analysis of Swedish household data

The main purpose of this study is to analyze the relationship between pollution and income at household level. The study is motivated by the recent literature emphasizing the importance of income distribution for the aggregate relation between pollution and income. The main findings from previous studies are that if the individual pollution–income relationship is non-linear, then aggregate pollution for, say, a whole country, will depend not only on average income, but also on how income is distributed. To achieve our objective we formulate a model for determining the choice of consumption of goods in different types of household. Furthermore we link the demand model to emission functions for various goods. The theoretical analysis shows that without imposing very restrictive assumptions on preferences and the emission functions, it is not possible to determine a priori the slope or the curvature of the pollution–income relation. The empirical analysis shows that, given the model used, the pollution–income relation has a positive slope in Sweden and is strictly concave for all three pollutants under study (CO₂, SO₂, NO_x), at least in the neighbourhood of the observed income for an average household. We also show that altering the prevailing income distribution, holding average income constant, will affect aggregate emissions in the sense that an equalization of incomes will give rise to an increase in emissions. One implication is then that the development of aggregate pollution due to growth depends not only on the income level, but also on how growth is distributed.     

FROM INDIVIDUAL TO AGGREGATE LABOR SUPPLY: A QUANTITATIVE ANALYSIS BASED ON A HETEROGENEOUS AGENT MACROECONOMY*

At the aggregate level, the labor‐supply elasticity depends on the reservation‐wage distribution. We present a model economy where workforce heterogeneity stems from idiosyncratic productivity shocks. The model economy exhibits the cross‐sectional earnings and wealth distributions that are comparable to those in the micro data. We find that the aggregate labor‐supply elasticity of such an economy is around 1, greater than a typical micro estimate.     

The cost of labor adjustment: Inferences from the gap

This paper studies the aggregate implications of micro-level labor adjustment costs. Caballero and Engel [Caballero, R., Engel, E., 1993. Microeconomic adjustment hazards and aggregate dynamics. Quarterly Journal of Economics 108, 313–358] find a dependence of aggregate employment growth on the cross sectional distribution of “employment gaps.” This paper uses those results as moments in an indirect inference procedure to infer the underlying labor adjustment costs. We specify a dynamic optimization problem at the plant level, allowing for both convex and non-convex adjustment costs. Consistent with evidence at the micro level, our findings indicate that non-convex adjustment costs are necessary to match these aggregate moments.     

ARE COOPERATIVES MORE PRODUCTIVE THAN INVESTOR‐OWNED FIRMS? CROSS‐INDUSTRY EVIDENCE FROM PORTUGAL

We analyse empirically whether cooperatives and investor‐owned firms differ in terms of productive efficiency. Using rich Portuguese panel data covering a wide range of industries, we apply two different empirical approaches to estimate potential differences in productive efficiency. The results from our benchmark random‐effects model show that cooperatives are significantly less productive, on average, than investor‐owned firms, both at the aggregate level and for most of the industries considered. However, the results derived from a System‐GMM approach, which is our preferred empirical strategy, are much less conclusive, and we cannot conclude that cooperatives are generally less efficient that investor‐owned firms. With either approach, though, we find no evidence that cooperatives are more productive than investor‐owned firms in any industry.     

Hans Singer's model of the severity of recessions

This paper draws attention to the innovative but neglected workof Hans Singer on the dynamics of unemployment. Influenced byKeynes, in the late 1930s Singer enquired into the relationshipbetween the inflow into unemployment—resulting primarilyfrom (involuntary) separations from employment—and thesize of the resultant fluctuations in the level of unemployment.His focus was on the determinants of the severity—measuredin terms of how far unemployment rises—of recessions.We illustrate his approach by looking at quarterly data forthe claimant count and its associated inflow and outflow inthe UK over the period 1989–2003, a period which includesone major recession episode. In addition to drawing attentionto Singer's ideas, the paper also extends his model by takinginto account recent empirical evidence on the behaviour of oneof the key variables in his model. We argue that, with thisextension, Singer's elegant and parsimonious model of unemploymentdynamics is a useful complement to Keynes's ideas on the fluctuationsin aggregate demand and output, and is of contemporary relevance.     

On the distributional effects of income in an aggregate consumption relation

Abstract .  In this paper we analyse the influence of characteristics of the income distribution in modelling aggregate consumption expenditure. We model the aggregate consumption relation of a heterogeneous population, using a statistical distributional approach of aggregation, and apply it to UK-Family Expenditure Survey data. A bootstrap test based on a non-parametric estimation methodology, which accounts for the presence of continuous and discrete variables, suggests that the mean and the dispersion of the income distribution significantly influence aggregate consumption expenditure. Also, the parameters of the aggregate relation are time varying. These findings have implications for constructing empirically sound models of aggregate consumption expenditure.     

Trade Elasticities

Conventional aggregate trade elasticity estimates hardly vary across countries. We introduce an aggregate elasticity that is implied by theory: It is the value that equates the welfare gains from trade as implied by one‐ and multi‐sector versions of the model in Arkolakis et al. (American Economic Review, 102 (2012):94–130). These estimates are predicated on sector‐level values for trade elasticites, which we provide at three‐digit levels for 28 developed and developing countries. The values for this aggregate elasticity vary greatly across countries, and they do so because of countries' patterns of production and because a given sector‐level elasticity displays considerable cross‐country heterogeneity.     

Heterogeneous productivity shocks,elasticity of substitution and aggregate fluctuations

We use a Dixit-Stiglitz setting to show that aggregate productivity fluctuations can be generated through changes in the dispersion of firms’ productivity. When the elasticity of substitution among goods is larger than one, an increase in the dispersion raises aggregate productivity because firms at the top of the distribution produce most of output. When the elasticity is smaller than one, an increase in the dispersion reduces aggregate productivity because firms at the bottom of the distribution use most of inputs. We use individual firm level data from Spanish manufacturing firms to test the relationship between the dispersion of firms’ productivity and aggregate productivity. The estimated coefficients are consistent with the predictions of the model: we find that an increase in the coefficient of variation of firms productivity of 1% increases aggregate productivity by 0.16% in sectors with an elasticity of substitution larger than one while the same increase in the standard deviation reduces aggregate productivity by 0.36% in sectors with an elasticity of substitution smaller than one.     

Dissertation abstract: Contribution to a public good - Theoretical analysis and experimental evidence

The work undertook is located between Public Economic Theory and Experimental Economics. The object of the thesis consists in analysing the aggregate behavior and the individual heterogeneity in a voluntary contribution game. The thesis defended here is that overcontribution in comparison to the Nash equilibrium of the game, can not be explained neither by judgement errors, nor by the information on the individual behaviour of the members in a one given group. The level of contribution observed remains nevertheless inferior to the one simulated using the E.W.A. learning model. The dissertation is composed of three parts and six chapters. The first chapter expresses the various theoretical mechanisms of production of a public good, while the second one presents an overview of the experimental literature using voluntary contribution mechanisms. The second part carries on the introduction of an interior solution in a public good game in order to distinguish an explanation of overcontribution in terms of mistakes or strategies. While chapter three presents the most important works in literature that use an interior solution, the fourth chapter constitutes a personal contribution consisting in an experiment with an interior optimum. Our main result is that individuals contribute a constant part of their social optimum and that overcontribution is not explained by error. We test then the simple learning model R.L. using the observed data on the aggregate level. This model predicts well the observed behaviour. The third part is composed of two experiments where the environment of players is modified. We introduce in chapter five promises as cheap talk and find that they increase contributions at the aggregate level. In chapter six, various conditions of information on individual contributions are tested. The parameter tested is the level of information on “neighbours” contributions given to players. One of the treatments presents full information about individual contributions of the members of the group, while this information is incomplete in the other treatments. Our results show that information has no effect on the level of contribution. We simulate then the EWA learning model both at the aggregate and the individual levels and compare the simulated data to the experimental one. These simulations predict a level of contribution that is higher that the one observed in the experiment. JEL Classification C91, C92, H41 Dissertation Committee: Alan Kirman (Ph.D. Advisor), Université d’Aix-Marseille III Marie-Claire Villeval (Chair), GATE, Lyon, France Jordi Brandts, Universitat Autonoma Barcelona, Spain Charles Noussair, Emory University, Alanta, GA, U.S.A. Sylvie Thoron, GREQAM & Université du Var, France Marc Willinger, Université de Montpellier I, France     

Financial market frictions in a model of the Euro area

We build a model of the euro area incorporating financial market frictions at the level of firms and households. Entrepreneurs borrow from financial intermediaries in order to purchase business capital, in the spirit of the “financial accelerator” literature. We also introduce two types of households that differ in their degree of time preference. All households have preferences for housing services. The impatient households are faced with a collateral constraint that is a function of the value of their housing stock. Our aim is to provide a unified framework for policy analysis that emphasises financial market frictions alongside the more traditional model channels. The model is estimated by Bayesian methods using euro area aggregate data and model properties are illustrated with simulation and conditional variance and historical shock decomposition.     

An Evaluation of Unemployment Policy in Australia Using the Range of Equilibria

The major failures of macroeconomic policy in the last 40 years are the huge increases in unemployment and inflation in the 1970s and the persistence for 25 years of the former. This article uses econometric estimates of a model of the range of equilibria for Australia for the period 1965:4 to 2003:3 to evaluate the role of macroeconomic policies in these failures. Our analysis distinguishes the roles of aggregate supply policies and aggregate demand policies. We conclude from our analysis that macroeconomic outcomes would have been better over this period had monetary policy been guided by a hierarchical inflation target, which is to be set so as to achieve the highest level of activity subject to satisfying the inflation target.     

Does policy reform promote FDI in developing economies? a firm-level simulation approach

How do policy reforms for foreign investors in developing economies affect inward foreign direct investment? Using a firm heterogeneity model calibrated to match data on Japanese multinational firms, we simulate how multinationals respond to a decline in investment procedure days. We find that such policy reforms in investment procedures significantly increase the aggregate entries and sales of multinational firms in developing economies, with the more pronounced impact at the extensive margin than at the intensive margin. At the firm level, declining entry costs encourage more productive firms to invest in a wider range of markets although such impacts are modest for the most productive firms that already penetrate many markets. The impacts on foreign sales per multinational firm are less clear-cut in magnitude across productivity levels in part because falling entry costs directly increase multinational entry to developing economies, but only indirectly encourage their existing production in these markets.     

The aggregate labor market effects of the Swedish Knowledge Lift program

The Swedish adult education program known as the Knowledge Lift (1997–2002) was unprecedented in its size and scope, aiming to raise the skill level of large numbers of low-skill workers. This paper evaluates the potential effects of this program on aggregate labor market outcomes. This is done by calibrating an equilibrium search model with heterogeneous worker skills using pre-program data and then forecasting the program impacts. We compare the forecasts to observed aggregate labor market outcomes after termination of the program.     

Two‐level CES Production Technology in the Solow and Diamond Growth Models*

The two‐level CES aggregate production function—that nests a CES into another CES function—has recently been used extensively in theoretical and empirical applications of macroeconomics. We examine the theoretical properties of this production technology and establish existence and stability conditions of steady states under the Solow and Diamond growth models. It is shown that in the Solow model the sufficient condition for a steady state is fulfilled for a wide range of substitution parameter values. This is in sharp contrast with the two‐factor Solow model, where only an elasticity of substitution equal to one is sufficient to guarantee the existence of a steady state. In the Diamond model, multiple equilibria can occur when the aggregate elasticity of substitution is lower than the capital share. Moreover, it is shown that for high initial levels of capital and factor substitutability, the effect of a further increase in a substitution parameter on the steady state depends on capital–skill complementarity.     

The information content of regional employment data for forecasting aggregate conditions

We consider whether disaggregated data enhance the efficiency of aggregate employment forecasts. We find that incorporating spatial interaction into a disaggregated forecasting model lowers the out-of-sample mean squared error from a univariate aggregate model by 70% at a two-year horizon.