Worker flows, job flows and unemployment in a matching model

Standard matching models of unemployment generate far too little volatility in unemployment and vacancies relative to the variation in the shock variables. Shimer (2005) showed that in US data the vacancy-to-unemployment ratio is about 26 times more volatile than the standard model predicts. He identified the flexibility of wages as the key issue and triggered a heated debate on possible improvements of the core model to accommodate these empirical facts. In this paper, we first document Shimer's facts for the UK and find them to be qualitatively similar to US facts. We then develop and calibrate a model based on the Mortensen and Pissarides approach that increases the volatility of the v/u ratio 20-fold compared to the standard framework. The key features of our model relate to the job creation decision by firms and the search options of workers. We allow these to search whilst employed, and firms to re-advertise jobs that have been quit from. This leads us to use a different job creation process, whereby potential vacancies, or job ‘ideas’, arise at a finite rate per period over a range of idiosyncratic productivities. Calibrating the model to UK data, we show that it delivers volatility in unemployment and vacancies much closer to, though still not as large as, that observed for the UK, whilst retaining the standard wage determination process.     

Existence of Nash networks in one-way flow models

This paper addresses the existence of Nash equilibria in one-way flow models in a number of different settings. In these models players form costly links with other players and obtain resources from them through the directed path connecting them. We find that heterogeneity in the costs of establishing links plays a crucial role for the existence of Nash networks. The paper also provides conditions for the existence of Nash networks in models where costs and values of links are heterogeneous. We would like to thank an anonymous referee for useful suggestions. We would also like to thank Hans Haller and participants at the AEA Meetings 2007 for helpful comments. Sudipta Sarangi acknowledges the support of NSF grant HSD-0527315 and the hospitality of CREUSET, Jean Monnet University.     

Graphical causal models and VARs: an empirical assessment of the real business cycles hypothesis

This paper assesses the empirical plausibility of the real business cycle view that shocks to real variables are the dominant sources of economic fluctuations and that monetary policy shocks play an insignificant role in determining the behavior of real variables. I reconsider the vector autoregressive model of King et al. (Am Econ Rev 81:819–840, 1991), but propose an alternative identification method, based on graphical causal models. This method selects the contemporaneous causal structure using the information incorporated in the partial correlations among the residuals. The residuals orthogonalization which follows and the study of the impulse response functions confirm the results of King et al. (Am Econ Rev 81:819–840, 1991): permanent productivity shocks are not the dominant sources of aggregate fluctuations in US economy. I would like to thank Peter Spirtes, Marco Lippi, and Clark Glymour for helpful comments on early versions of the paper. I am also grateful to Valentina Corradi for providing me with an updated version of the King et al. (1991) data set. The usual disclaimer applies.     

Job and worker flows in high adjustment cost settings

This paper analyses the relationship between the size of adjustment costs and the intensity of labor market flows. I argue that high adjustment costs inhibit adjustment to temporary shocks, leaving adjustment to long-lived shocks unchanged. Worker turnover is also reduced because of the negative impact that adjustment costs have on churning.Received: January 2002, Accepted: November 2002, JEL Classification: J23, J63I am grateful to the FCT for funding this research (research grant Praxis/PCSH/C/CEG/13/96), and to Pedro Portugal, Daniel Hamermesh and two anonymous referees for helpful comments on earlier versions of this paper. I thank the Department of Statistics at the Ministry of Labor for providing the data. CETE is supported by the FCT.     

Trade liberalization,the exchange rate and job flows in Brazil

Brazil underwent a large trade liberalization process in the 1990s. Over the period, manufacturing employment decreased significantly, generating public debate on the need to revert liberalization. This paper aims to identify the actual effect of trade liberalization on employment, separating it from exchange rate movements using a gross job flow approach. Our novel dataset covers all sectors and formally registered enterprises, and we use new sector specific exchange rate data. Our estimates suggest that greater openness reduce jobs through increased job destruction, with no effect on job creation, but the exchange rate matters also. Depreciations expand the number of jobs in manufacturing by increasing creation, with no effect on destruction.     

Knowledge flows and the geography of networks: A strategic model of small world formation

This paper aims to demonstrate that the strategic approach to link formation can generate networks that share some of the main structural properties of most real social networks. For this purpose, we introduce a spatialized variation of the Connections model [Jackson, M.O., Wolinsky, A., 1996. A strategic model of social and economic networks. Journal of Economic Theory 71, 44–74] to describe the strategic formation of links by agents who balance the benefits of forming links resulting from imperfect knowledge flows against their costs, which increase with geographic distance. We show, for intermediate levels of knowledge transferability, clustering occurs in geographical space and a few agents sustain distant connections. Such networks exhibit the small world property (high clustering and short average relational distances). When the costs of link formation are normally distributed across agents, asymmetric degree distributions are also obtained.     

Production and Employment Impacts of Biotechnology —Input-output Analysis for Germany

Biotechnology is often regarded as a key technology with high potential for far-reaching social, environmental and economic impacts. Among others, the development and diffusion of biotechnology may have considerable economic effects on production and employment. This paper analyses the economic impacts of different prospective diffusion paths of biotechnology in some major application fields for Germany. Bottom-up technology information from the literature, expert judgements and explicit scenario assumptions for various impact factors are combined and integrated in an input-output framework to calculate direct and indirect production and employment effects. The impact on net production and employment differs greatly between the different application sectors and depends on the respective importance of the various impact mechanisms. The indirect economic effects are rather high and exceed the direct economic effects. These findings show the importance of a bottom-up approach as well as the consideration of the indirect economic effects for appropriate analyses of the impact of biotechnology.     

Public goods in directed networks

We study the provision of a public good in a social network where links are directed, i.e., the information flows one way. Our results relate, through stochastic dominance, the equilibrium outcome of such a process with the out-degree distribution of the network.     

Input-output separability in production models and its structural consequences

Separability of inputs and outputs in a multioutput technology is analyzed in this paper.     

Capital flows,real exchange rate,and growth constraints in Mexico

Besides its well‐known problem of slow economic growth, Mexico’s recent evolution features both a sharp rise in the import‐intensity of economic activity – which may have tightened an external constraint on growth – and a persistent real appreciation of the peso – which may have created a profitability constraint. Adopting the approach of gap models and growth diagnostics, the paper contrasts the relevance of the external and the profitability constraints in Mexico after trade liberalization in the mid‐1980s. Although the trade deficit was pro‐cyclical, the three recent episodes of GDP growth acceleration were not accompanied by pressures in the foreign exchange market. Moreover, error correction models show that investment was highly responsive to the real exchange rate but largely unresponsive to foreign capital flows. The evidence supports the conclusion that investment was deterred by the low profitability of an uncompetitive real exchange rate, rather than by the external constraint.     

Technological change and path dependence: a co-evolutionary model on a directed graph

In this paper, I model technological change as an evolutionary process of generation and selection of economic activities in a highly path-dependent fashion. There are two key features of our approach. The first is that economic activities are conceived as points of a directed graph and endowed with a corresponding notion of technological distance which determines both the probability of invention of any new activity and the cost of learning it. The second feature is that agents are assumed rational and taken to choose optimally from among the available activities, given the status quo and the associated learning costs. In such a context, we focus on two economies that start off technologically close and evolve side by side with some extent of technological diffusion across them. It is shown that alternative assumptions on the speed of diffusion may have drastically different implications for the evolution of the process. I then argue that this theoretical analysis helps provide some insight on existing empirical evidence; in particular, on the conditions under which relative stagnation or technological catch-up may arise and become consolidated among different economies.     

Proof of global stability,transitional dynamics,and international capital flows in a two-country model of innovation and growth

Global stability properties of dynamic two-country models can be easily studied in the case of perfect international capital flows. With internationally constant relative productivities, balanced-growth path values for factor prices will hold on any path leading to the balanced-growth path unless one country experiences a period of no innovation. Innovation rates converge in the case of perfect international knowledge spillovers but long-run consumption levels and trade patterns are path-dependent. GDP per capita is predicted to converge slowly despite the presence of perfect international capital markets and no explicit inclusion of adjustment costs. The trade balance of the rich country is initially positive but after some time turns into a deficit.     

Input-output subsystems and pollution: An application to the service sector and CO2 emissions in Spain

The analysis of input-output subsystems provides a useful tool for studying the productive structure of the different sectors of an economy. In this paper we develop this analysis to the study of the CO₂ emissions associated to the group of branches of the service sector. The decomposition of the total production of the services subsystem allows us to decompose the CO₂ emissions into five different components (own, demand volume, feed-back, internal and spill over components). From the results obtained, we can highlight the different roles played by the different branches of services. Transport activities are the services with the highest level of the direct emissions generated in the production of the sector. These activities are required by the other sectors of the economy to a greater degree than they are for their own final demand. Therefore, the production sold to other sectors causes more emissions than its own final demand. However, in the case of other service activities, direct and indirect emissions related to final demand are much more important, due to the strong pull effect of service activities on other activities of the economy. In this respect, Wholesale and retail trade, Hotels and restaurants, Real estate, renting and business activities, and Public administration services should be highlighted. These services receive scarce attention in the design of policies aimed at reducing emissions, but are notably responsible for the major increase in emissions experienced in recent years.     

DCF模型中自由现金流量的合理估算

投资理财已成时尚的当今社会，人们更关注所投资的企业的价值。DCF模型作为评估企业价值的一种主流方法，已被广泛运用于实践。但现实中的问题是，DCF模型被滥用、泛用现象严重，特别是在估算企业价值的重要驱动因素-FCF时评估者的主观随意性太大，从而影响到价值结果的客观性。本文着重阐述了对FCF的分析、理解、合理选择和估算时应注意的重要问题。以期在评估实践中能起到一定的指导作用。     

Evaluating innovation networks in emerging technologies

Interorganisational innovation networks are increasingly important for innovation in emerging technology fields. The performance of such networks can have a large impact on the future development of emerging technologies. A useful framework for the evaluation of innovation networks however does not yet exist. In this paper, such a framework is developed, using elements of the social network analysis literature and the resource-based view. This framework is subsequently applied to compare two policy-driven innovation networks: 1) the Center for Translational Molecular Medicine; and 2) the BioMedical Materials program. Based on this first empirical exploration of the framework implications for management and further policy development are formulated.     

投入产出模型在规划环评中的应用探讨

本文首先介绍了适用于规划环评的两种投入产出模型,然后探讨了其在规划环境影响评价中的应用,并重点分析了其应用的技术路线,同时指出在应用时需要加以注意的几个问题.     

Pitfalls in the modeling of labor market flows: a reappraisal

ABSTRACT

We discuss the relevance of the internationally adopted methodology for modelling labour market flows and comparing labour market flexibility. This is based on a two-state labour market model that neglects inactivity and uses aggregate stock data to derive transition rates. Traditionally, the results suggest that continental European labour markets are inflexible and unable to adjust quickly to aggregate demand or supply shocks compared with their Anglo-Saxon counterparts. This evidence has driven us to gain a better understanding of the relevance of such a modelling approach and critically discuss its main methodological hypothesis. We relax its assumptions by including inactivity and by using flow data for the period 2010–2017. We compare the results thus obtained with transition rates derived using a three-state labour market model for France, Italy, Spain and the United Kingdom. These countries represent the institutional settings of continental Europe on the one hand and Anglo-Saxon nations on the other. The implied transition rates are much higher, even in continental Europe, when inactivity is considered, thus suggesting that conclusions derived using an incomplete representation of the labour market are misleading. Inactivity therefore plays a crucial role and its inclusion provides a more exhaustive picture of labour mobility.     

The effect of shocks to labour market flows on unemployment and participation rates

This article presents an analysis of labour market dynamics, in particular of flows in the labour market and how they interact and affect the evolution of unemployment rates and participation rates, the two main indicators of labour market performance. Our analysis has two special features. First, apart from the two labour market states – employment and unemployment – we consider a third state – out of the labour force. Second, we study net rather than gross flows, where net refers to the balance of flows between any two labour market states. Distinguishing a third state is important because the labour market flows to and from that state are quantitatively important. Focusing on net flows simplifies the complexity of interactions between the flows and allows us to perform a dynamic analysis in a structural vector-autoregression framework. We find that a shock to the net flow from unemployment to employment drives the unemployment rate and the participation rate in opposite directions while a shock to the net flow from not in the labour force to unemployment drives the rates in the same direction.     

Property rights and information flows: a simulation approach

With the growth of the information economy, the proportion of knowledge-intensive goods to total goods is constantly increasing. Lessig (The future of ideas: the fate of the commons in a connected world. Vintage, New York 2001) has argued that IPRs have now become too favourable to existing producers and that their ‘winner-take-all’ characteristics are constraining the creators of tomorrow. In this paper we look at how variations in IPRs regimes might affect the creation and social cost of new knowledge in economic systems. Drawing on a conceptual framework, the Information Space or I-Space to explore how the uncontrollable diffusibility of knowledge relates to its degree of structure, we deploy an agent-based modelling approach to explore the issue of IPRs. We take the ability to control the diffusibility of knowledge as a proxy measure for an ability to establish property rights in such knowledge. Second, we take the rate of obsolescence of knowledge as a proxy measure for the degree of turbulence induced by different regimes of technical change. Then we simulate the quantity and cost to society of new knowledge under different property right regimes.

A prototype model of the foreign exchange market of Canada: Forecasting capital flows and exchange rates

A balance-of-payments structural model of the foreign exchange market of Canada, endogenizing capital flows, the spot and forward exchange rates and the entities of the monetary sector, is developed using quarterly data for 1971–81. The capital flows have been disaggregated into ten categories and the exchange rates of the Canadian dollar have been analysed against five major currencies. While the model does not adhere strictly to purchasing power or interest rate parity, it does recognize them and it also incorporates other economic fundamentals, expectations and risk. Government interventions, although generated endogenously, are quantified implicitly and globally. The model tracks the post-Bretton Woods in-sample experience and generates ex post predictions reasonably well.