RJVs in product innovation and cartel stability

Abstract. We characterise the interplay between firms' decision in product development undertaken through a research joint venture (RJV), and the nature of their ensuing market behaviour. Participant firms in an RJV face a trade-off between saving the costs of product innovation by developing similar products to one another, e.g., by sharing most of the basic components of their products, and investing higher initial efforts in product innovation in order to develop more distinct products. We prove that the more the firms' products are distinct and thus less substitutable, the easier their collusion is to sustain in the marketing supergame, either in prices (Bertrand) or in quantities (Cournot). This gives rise to a non-monotone dependence of firms' product portfolio upon their intertemporal preferences. Received: 1 October 1998 / Accepted: 14 December 2002 We thank the seminar audience at Centre for Industrial Economics, University of Copenhagen, where all three authors were affiliated at the time we presented the first draft of this paper, and also the two anonymous referees for Review of Economic Design for their detailed comments. The usual disclaimer applies.     

Following in Your Parents’ Footsteps? Empirical Analysis of Matched Parent–Offspring Test Scores*

In this article, we explore whether an intergenerational relationship exists between the reading and mathematics test scores, taken at age 7, of a cohort of individuals born in 1958 and the equivalent test scores of their offspring measured in 1991. Our results suggest that how the parent performs in reading and mathematics during their childhood is positively related to the corresponding test scores of their offspring as measured at a similar age. The results further suggest that the effect of upbringing is mainly responsible for the intergenerational relationship in literacy, although genetic effects seem more relevant with respect to numeracy.     

The family gap in wages: What wombmates reveal

We shed new light on the effects of having children on hourly wages by exploiting access to data on the entire population of employed same-sex twins in Denmark. Our second contribution is the use of administrative data on absenteeism; the amount of hours off due to holidays and sickness. Our results suggest that childbearing reduces female hourly wages but the principal explanation is in fact mothers’ higher levels of absence. We find a positive wage premium for fathers.     

Quasi-structural estimation of a model of childcare choices and child cognitive ability production

This article evaluates the effects of maternal vs. alternative care providers’ time inputs on children’s cognitive development using the sample of single mothers in the National Longitudinal Survey of Youth. To deal with the selection problem created by unobserved heterogeneity of mothers and children, we develop a model of mother’s employment and childcare decisions. We then obtain approximate decision rules for employment and childcare use, and estimate these jointly with the child’s cognitive ability production function. To help identify our selection model, we take advantage of the plausibly exogenous variation in employment and childcare choices of single mothers generated by the variation in welfare rules across states and over time created by the 1996 welfare reform legislation and earlier State waivers.     

Further results on projection-based inference in IV regressions with weak,collinear or missing instruments

We study a general family of Anderson–Rubin-type procedures, allowing for arbitrary collinearity among the instruments and endogenous variables. Using finite-sample distributional theory, we show that the proposed procedures, besides being robust to weak instruments, are also robust to the exclusion of relevant instruments and to the distribution of endogenous regressors. A solution to the problem of computing linear projections from general possibly singular quadric surfaces is derived and used to build finite-sample confidence sets for individual structural parameters. The importance of robustness to excluded instruments is studied by simulation. Applications to the trade-growth relationship and to education returns are presented.     

A unified theory of structural change

This paper uses dynamic general equilibrium and computational methods, inspired by the multi-sector growth model structure in Stephen Turnovsky's work, to develop a theory that unifies two of the traditional explanations of structural change: sector-biased technical change and non-homothetic preferences. The theory is based on an overlapping-generations growth model with endogenous technical change and non-homothetic preferences. An expanding-variety setup with two different R&D technologies, agricultural, and non-agricultural, is employed. The analysis, based on numerical simulations, shows that the biased technical change hypothesis finds most support in the data. It also points to production-side specific factors, such as asymmetries in cross-sector knowledge spillovers, as explanatory factors of the bias in technical change.     

National Estimates of Gross Employment and Job Flows from the Quarterly Workforce Indicators with Demographic and Industry Detail

The Quarterly Workforce Indicators (QWI) are local labor market data produced and released every quarter by the United States Census Bureau. Unlike any other local labor market series produced in the US or the rest of the world, QWI measure employment flows for workers (accession and separations), jobs (creations and destructions) and earnings for demographic subgroups (age and gender), economic industry (NAICS industry groups), detailed geography (block (experimental), county, Core-Based Statistical Area, and Workforce Investment Area), and ownership (private, all) with fully interacted publication tables. The current QWI data cover 47 states, about 98% of the private workforce in those states, and about 92% of all private employment in the entire economy. State participation is sufficiently extensive to permit us to present the first national estimates constructed from these data. We focus on worker, job, and excess (churning) reallocation rates, rather than on levels of the basic variables. This permits a comparison to existing series from the Job Openings and Labor Turnover Survey and the Business Employment Dynamics Series from the Bureau of Labor Statistics (BLS). The national estimates from the QWI are an important enhancement to existing series because they include demographic and industry detail for both worker and job flow data compiled from underlying micro-data that have been integrated at the job and establishment levels by the Longitudinal Employer-Household Dynamics Program at the Census Bureau. The estimates presented herein were compiled exclusively from public-use data series and are available for download.     

Dynamic factors in the presence of blocks

Macroeconometric data often come under the form of large panels of time series, themselves decomposing into smaller but still quite large subpanels or blocks. We show how the dynamic factor analysis method proposed in Forni et al. (2000), combined with the identification method of Hallin and Liška (2007), allows for identifying and estimating joint and block-specific common factors. This leads to a more sophisticated analysis of the structures of dynamic interrelations within and between the blocks in such datasets, along with an informative decomposition of explained variances. The method is illustrated with an analysis of a dataset of Industrial Production Indices for France, Germany, and Italy.     

Identification and estimation of Gaussian affine term structure models

This paper develops new results for identification and estimation of Gaussian affine term structure models. We establish that three popular canonical representations are unidentified, and demonstrate how unidentified regions can complicate numerical optimization. A separate contribution of the paper is the proposal of minimum-chi-square estimation as an alternative to MLE. We show that, although it is asymptotically equivalent to MLE, it can be much easier to compute. In some cases, MCSE allows researchers to recognize with certainty whether a given estimate represents a global maximum of the likelihood function and makes feasible the computation of small-sample standard errors.     

Wage inequality, technology and trade: 21st century evidence

This paper describes and explains some of the principal trends in the wage and skill distribution in recent decades. Increases in wage inequality started in the US and UK at the end of the 1970s, but are now widespread. A good fraction of this inequality trend is due to technology-related increases in the demand for skilled workers outstripping the growth of their supply. Since the early 1990s, labor markets have become more polarized with jobs in the middle third of the wage distribution shrinking and those in the bottom and top third rising. I argue that this is because computerization complements the most skilled tasks, but substitutes for routine tasks performed by middle wage occupations such as clerks, leaving the demand for the lowest skilled service tasks largely unaffected. Finally, I argue that technology is partly endogenous, for example it has been spurred by trade with China. Thus, trade does matter for changes in the labor market, but through a different mechanism than conventionally thought.