The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.

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Econometric Analysis of Cross Section and Panel Data

This paper comprehensively examined the linkages between systems of High Performance Work Practices and firm performance. Results based on a national sample of nearly one thousand firms indicate that these practices have an economically and statistically significant impact on both intermediate outcomes (turnover and productivity) and short- and long-term measures of corporate financial performance. Support for the predictions that the impact of High Performance Work Practices is in part contingent on their interrelationships and links with competitive strategy was limited.

https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID1803666_code1640113.pdf?abstractid=1803666&mirid=5&type=2

The Impact of Human Resource Management Practices on Turnover, Productivity, and Corporate Financial Performance

This study comprehensively evaluated the links between systems of High Performance Work Practices and firm performance. Results based on a national sample of nearly one thousand firms indicate that these practices have an economically and statistically significant impact on both intermediate employee outcomes (turnover and productivity) and short- and long-term measures of corporate financial performance. Support for predictions that the impact of High Performance Work Practices on firm performance is in part contingent on their interrelationships and links with competitive strategy was limited. The impact of human resource management (HRM) policies and prac

/pdf/the-impact-of-human-resource-management-practices-on-hesrlz2jwc.pdf

The Impact Of Human Resource Management Practices On Turnover, Productivity, And Corporate Financial Performance

This paper considers causal inference and sample selection bias in nonexperimental settings in which (i) few units in the nonexperimental comparison group are comparable to the treatment units, and (ii) selecting a subset of comparison units similar to the treatment units is difficult because units must be compared across a high-dimensional set of pre-treatment characteristics. We discuss the use of propensity score-matching methods, and implement them using data from the National Supported Work experiment. Following LaLonde (1986), we pair the experimental treated units with nonexperimental comparison units from the CPS and PSID, and compare the estimates of the treatment effect obtained using our methods to the benchmark results from the experiment. For both comparison groups, we show that the methods succeed in focusing attention on the small subset of the comparison units comparable to the treated units and, hence, in alleviating the bias due to systematic differences between the treated and compariso...

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Propensity score-matching methods for nonexperimental causal studies

Part 1 Unemployment in the model of balanced growth: the labour market long-run equilibrium and balanced growth adjustment dynamics. Part 2 further ananlysis of the labour market: search intensity and job advertising.

Equilibrium Unemployment Theory

In this paper I provide some evidence on the question of whether the behavior of unemployed young blacks, whose reservation wages are relatively high and whose jobless spells are very lengthy, reflect rational maximizing choices. To do this, I use a simple income-maximizing job search model to imply employment probabilities and various elasticities which are compared to those which are actually observed for young blacks.The results show that, for reasonable discount rates, the employment probabilities implied by income-maximization are consistent with those observed for young blacks. The elasticities of reservation wages with respect to nonwage income that are implied by income-maximizing are also consistent with those estimated econometrically for this group. This was true despite the many assumptions embodied in this model whose validity fora sample of low-income youth is highly questionable.The evidence thus suggests that young blacks are making economically rational choices by choosing high reservation wages and lengthy spells without jobs.

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On the Rationality of Black Youth Unemployment

In this article, I review what we know about the impacts of felony convictions and incarceration on later employment and earnings, particularly for those under community supervision. I then discuss what employers and public policymakers can do to improve these outcomes. First, I review the basic empirical facts on the employment and earnings of returning citizens, various hypotheses that could explain these facts, and the available evidence that support those hypotheses. Second, I review why people under community supervision may have either similar or different employment outcomes from those of returning citizens more broadly. Third, I consider the perspectives of employers and why it might be in their interests to reduce hiring penalties associated with earlier incarceration (especially in tight labor markets). Fourth, I consider what we know about policies to reduce these penalties and improve outcomes. In sum, I argue that both moral and economic arguments exist for a general reduction of hiring penalties that would improve employment outcomes.

Harry J. Holzer

Papers

On the Rationality of Black Youth Unemployment

Why Do People under Community Supervision Work and Earn So Little? And What Can Policy Do to Increase Their Employment and Earnings?

Technology and Workforce Readiness : Implications for Skills Training and the Economy

Reducing Poverty the Democratic Way