An input-output approach to the estimation of employment requirements in Europe

This study reports the results of an attempt to analyse the employment requirements per one million dollars of final demand on the basis of an input-output model, in which the standard technology matrix is partitioned into domestic and import input coefficient matrices for twelve European countries. International comparisons of employment requirements indicate that the labour productivity is higher for high income countries while employment requirements per one million dollars of final demand is less closely associated with the size of the country. Our results demonstrate that the total employment requirements estimated on the basis of the total input coefficients matrix or the domestic coefficients matrix retain the same ordinal ranking of the sectors. For developing countries, where the data are not available for domestic and import coefficients matrix separately, the methodology of estimating employment requirements (per unit of final demand) through total coefficients matrix may be adopted since our experience indicates that ranking of the sectors in terms of labour productivity is not altered between two approaches for twelve European countries.     

The future employment impacts of industrial robots : An input-output approach

An input-output framework is employed to estimate the indirect as well as direct effects of industrial robots on employment by industry sector and occupation. Net employment impacts are defined as the combined effects of the production and the use of industrial robots under the assumption that the demand for goods produced with this new technology is unaffected. These employment effects are estimated as the difference between a base economy (1977) and the same economy with an additional robot-producing sector and given (1990) stocks of robots installed in manufacturing industries. Six scenarios are defined by alternative levels of Robotics sector output and installed robots. The results show that job displacement is 4.5 to 6.2 times greater than job creation, that under the most extreme scenario the aggregate net job loss is 718,000, about 0.7 percent of total 1984 employment, and that the growth occupations (engineers) are highly skilled and white-collar while the declining occupations (welders, painters, machine operators, laborers) are relatively low skilled and blue-collar.     

A differential approach to input-output analysis

The differential production theory approach is applied to input-output analysis under the assumption that each industrial sector behaves as a homothetic cost-minimizing firm. This yields substitution terms which take a simple form under input independence.     

Income growth and atmospheric pollution in Spain: An input-output approach

The relationships between economic growth and environmental pressures are complex. Since the early nineties, the debate on these relationships has been strongly influenced by the Environmental Kuznets Curve hypothesis, which states that during the first stage of economic development environmental pressures increase as per capita income increases, but once a critical turning point has been reached these pressures diminish as income levels continue to increase. However, to date such a delinking between economic growth and emission levels has not happened for most atmospheric pollutants in Spain. The aim of this paper is to analyse the relationship between income growth and nine atmospheric pollutants in Spain. In order to obtain empirical outcomes for this analysis, we adopt an input-output approach and use NAMEA data for the nine pollutants. First, we undertake a structural decomposition analysis for the period 1995-2000 to estimate the contribution of various factors to changes in the levels of atmospheric emissions. And second, we estimate the emissions associated with the consumption patterns of different groups of households classified according to their level of expenditure.     

Regional economic development and environmental repercussions: An environmental input-output approach

This study attempts to examine issues related to the existing adverse relationship between regional economic development and natural environment protection. For doing so, a regional environmental input-output model for the region of central Macedonia in northern Greece is constructed in order to quantify the direct and indirect undesirable negative effects of the production process in the natural environment. The results suggest that there is a considerable trade-off between economic development and environmental deterioration which should be taken into account when policy decisions are made. This paper benefitted from comments by the participants of the Forty-Seventh International Atlantic Economic Conference, Vienna, Austria, March 16–23, 1999.     

International oligopoly,barriers to outsourcing and domestic employment

In this paper we analyze the impact of barriers to outsourcing on domestic employment in an oligopolistic context. We show that although an outsourcing tax makes domestic labour cheaper, its employment effect is ambiguous due to strategic considerations. Analyzing international policy interdependence, we also show that, although a unilateral tax (subsidy) by a country must raise its domestic employment, this may be counterproductive in a Nash policy equilibrium. Finally, both a credit crisis and increased product differentiation tend to worsen the employment effects of an outsourcing tax. Our central findings are robust to both Bertrand and Cournot modes of competition.     

Price dynamics in an input-output model: An alternative approach

The suggested approach is developed, on the basis of firms' markup behaviour, in terms of current prices making value coefficients change as the effects of the initial price rise spread through the economy.     

Trade,structure and linkages in Costa Rica: An input-output approach

Input-output tables for Costa Rica are used first to assess the country's trade performance; it is argued that trade with the rest of Central America has produced a Costa Rican comparative advantage in consumer durables. The paper then uses the input–output tables to examine the economy's structure, which is shown to be block triangular. Finally, measures of linkages are derived from the tables and a critique of the growth-inducing linkage mechanism is presented.     

The role of uncertainty in forecasting employment by skill and industry

We show that the macroeconomic uncertainty series from Jurado, Ludvigson, and Ng (2015) contains information to forecast employment. The results indicate that the uncertainty measure is weak at forecasting the skilled labour but significantly carries forecasting information on the unskilled labour. The forecasting information increases if the sample is restricted to construction and manufacturing industries. Using rolling regressions to conduct a simulated out-of-sample forecasting exercise, we find that the uncertainty measure contains forecasting information for the unskilled labour in those industries for two quarters ahead. By providing detailed information about the forecasting power of uncertainty by skill and industry, this study will be helpful in designing more efficient labour market policies.     

The minimum wage, employment, and the AS-IF methodology: A forecasting approach to evaluating the minimum wage

Out-of-sample employment forecasts for 33 U.S. industries which are likely to be sensitive to the federal minimum wage are, more often than not, more accurate when information about the minimum wage is not taken into account. This is true even in instances where this information improves wage forecasts. When employment forecasts conditional on the minimum wage are better, the improvement is typically small. These results are invariant to the number of workers previously making less than the new minimum wage, and to the value of the minimum wage relative to industry average wages. First version received: August 1999/Final version received: July 2000     

An adaptive approach to forecasting three key macroeconomic variables for transitional China

The macroeconomic forecasts for emerging economies often suffer from the constraints of instability and limited data. In light of these constraints, we propose the use of a local autoregressive (LAR) model with a data-driven estimation window, i.e., a local homogenous interval, that is adaptively identified to strike a balance between information efficiency and stability. When applied to three key macroeconomic variables of China, the LAR model substantially outperforms the alternative models for various forecast horizons of 3 to 12 months, with forecast error reductions of between 4% and 64% for the IP growth, and between 1% and 68% for the inflation rate. The one-quarter ahead performance of the LAR model matches that of a well-known survey forecast. The patterns of the identified local intervals also coincide with the characteristic evolution of the gradual reforms and monetary policy shifts in China. In short, the LAR model is suitable for not only forecasting, but also the real-time monitoring of the effects of regime and policy changes in emerging economies.     

A new approach to modeling waste in physical input-output analysis

It is important to treat waste properly in physical input-output analysis and a series of publications discussed this topic in this journal recently. In this paper, we propose a new approach to deal with physical input-output table (PIOT) measured in a single mass unit, by which the structure of PIOT need not be changed. The new approach yields consistent and reasonable results. It not only is simpler than the existing approaches but also can reflect the physical reality of economic systems. We first discuss and clarify the concept of different kinds of inputs and outputs of economic systems. We then present the details of the new approach. During the process we define a new multiplier, which builds a bridge between the total input and the final demand in PIOT, just like the traditional Leontief inverse in MIOT. We select the three-sector PIOT for Germany 1990 as a case study to show the validity of the new approach. Finally, we prove the equivalence between the new approach, Suh's approach and Dietzenbacher's approach and the equivalence of non-waste part and waste part multiplier of the new approach and Dietzenbacher's approach.     

A general equilibrium approach to wage bargaining and employment

This paper attempts to capture the effects of cyclical fluctuations in business activity on factor prices and employment levels in a two-sector model with wage bargaining.     

How productivity and domestic output are related to exports and foreign output in the case of Sweden

In this paper we examine the relationships between two sets of three variables: Swedish real exports, Swedish real GDP, and foreign real GDP in one set; and Swedish real exports, Swedish total factor productivity, and foreign real GDP in the other set. The foreign real GDP facing Sweden is proxied by total OECD real GDP minus Sweden's real GDP. Multivariate tests for integration and cointegration show that the variables in each model are cointegrated. We also perform Granger causality tests on these variables in our examination using the Toda-Yamamoto procedure. We discover bi-directional causality between Swedish real exports and Swedish real GDP (or Swedish total factor productivity). Foreign real GDP is shown to Granger cause Swedish real exports, but no significant causation of foreign real GDP on either domestic GDP or total factor productivity was found. A change in foreign real GDP thus appears to affect Swedish output and productivity only indirectly, through changes in Swedish exports. JEL classification:F41, F43, C30, C32     

An environmental assessment of future production-related technological change: 1970–2000 (An input-output approach)

This paper develops a technique, or model, to systematically assess the environmental impact of specific technological changes forecast to occur over this and the next two decades. The core of the model is a dynamic technical coefficient matrix of a large input-output model. The technological change considered is that which affects the coefficients of this matrix and thus the distribution of material inputs over time into the various sectors of the U.S. economy. An environmental assessment of this production-related technological change is achieved through a submodel that registers production residuals on an industry basis for 14 waste categories.     

Foreign-exchange distribution in Yugoslavia's new planning system: An input-output approach

Under the new planning system in Yugoslavia, the foreign-exchange earnings of the final exporter should be shared by all the producing units that contributed to the production of the exported goods or services. A method of calculating the contributions of the various producing sectors to a country's exports is developed. This method makes use of the value-added/gross-output ratios of individual sectors and the Leontief inverse matrix. The analysis is extended to an examination of the balance-of-trade effects of exports.     

A medium-N approach to macroeconomic forecasting

This paper considers methods for forecasting macroeconomic time series in a framework where the number of predictors, N, is too large to apply traditional regression models but not sufficiently large to resort to statistical inference based on double asymptotics. Our interest is motivated by a body of empirical research suggesting that popular data-rich prediction methods perform best when N ranges from 20 to 40. In order to accomplish our goal, we resort to partial least squares and principal component regression to consistently estimate a stable dynamic regression model with many predictors as only the number of observations, T, diverges. We show both by simulations and empirical applications that the considered methods, especially partial least squares, compare well to models that are widely used in macroeconomic forecasting.     

Operating efficiency and output insensitive employment contracts for capital management

Summary This paper considers a problem in which an agent is hired to manage a capital investment and subsequently receives private information regarding the productivity of the capital investment. The capital manager must decide whether to invest capital supplied by the firm (the principal), or to divert these investment funds to perquisite consumption. If the manager decides to invest, the manager must then select the level of operating efficiency (productivity) of the capital investment, this latter choice being unobservable and constrained by the (maximal) productivity of the investment. In this setting we demonstrate that the optimal employment contract, from the perspective of the firm hiring the manager, is the contract whichminimizes the dependence of the manager's compensation on firm output. This contract pays the manager a fixed wage whenever output from the investment exceeds the wage and provides the manager with all of the projects rents whenever output falls below this level. Thus, we provide a setting in which fixed wage contracts are the optimal incentive contract even when agents are risk neutral and contracts can be costlessly written on future output.We would like to thank the participants in the Princeton Economics and Finance Workshop and the Ohio State University Finance Workshop for their comments on an earlier draft of this paper. The second author gratefully acknowledges the research support of the Georgia State College of Business Administration Research Council.     

Exogenous information and input-output updating: An evaluation

Input-output coefficients' intertemporal instability, costs, and time lags involved in the construction of survey-based tables necessitate employment of nonsurvey updating techniques. Analysts, however, may want to include exogenous information in the updating process. The issue, then, is whether this inclusion ameliorates or aggravates the results. This paper attempts to assess the wisdom of incorporating exogenous information into the updating procedure. First, using the naive, RAS, and LaGrangian techniques, the 1966 table of the former Soviet Union was updated to 1972. Next, treating the top 10 percent largest 1972 coefficients as exogenous estimates, the remaining coefficients were updated via the same three methods. Comparison of the results indicates that exogenous determination of the largest coefficients does not change the methods' rankings while yielding substantial improvements in the forecasts. This paper was presented at the Forty-Sixth International Atlantic Economic Conference, Boston, MA, October 8–11, 1998.     

Forecasting Nevada gross gaming revenue and taxable sales using coincident and leading employment indexes

This article provides out-of-sample forecasts of Nevada gross gaming revenue (GGR) and taxable sales using a battery of linear and non-linear forecasting models and univariate and multivariate techniques. The linear models include vector autoregressive and vector error-correction models with and without Bayesian priors. The non-linear models include non-parametric and semi-parametric models, smooth transition autoregressive models, and artificial neural network autoregressive models. In addition to GGR and taxable sales, we employ recently constructed coincident and leading employment indexes for Nevada’s economy. We conclude that the non-linear models generally outperform linear models in forecasting future movements in GGR and taxable sales.