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

This paper reviews 20 years' worth of empirical evidence on the 'spatial mismatch' hypothesis. After briefly surveying the relevant models from urban and labour economics and recent trends in employment and population suburbanisation, the empirical evidence on spatial effects is examined. This literature includes evidence on the effects of residential segregation, residential suburbanisation and employment suburbanisation, and direct measures of 'access' (such as travel times). The most recent evidence suggests that spatial mismatch is relevant for explaining black/white employment differences, though the magnitudes of these effects remain unclear.

The Spatial Mismatch Hypothesis: What Has the Evidence Shown?:

In this paper I investigate the use of different search methods by unemployed youth. I present a job search model which shows that search method choices should be related to their costs and expected productivities, as well as other factors such as nonwage income and wage offer distributions. I then present empirical evidence on the use of these methods and their effects on employment outcomes. These results show that the most frequently used search methods, which are friends and relatives and direct applications without referral, are also the most productive in generating job offers and acceptances. Econometric evidence then shows that the number of methods used is affected by factors which presumably reflect market opportunities as well as income sources and needs. While the use of specific search methods respond differently to these factors, they are chosen in a manner which generates positive average effects on employment outcomes for those who use them. The results are thus consistent with the search model presented here.

Search Method Use by Unemployed Youth

What Employers Want: Job Prospects for Less-Educated Workers

Although the debate over Affirmative Action is both high-profile and high-intensity, neither side's position is based on a well-established set of research findings. Economics provides an extensive, well-known literature on which to draw regarding the existence and extent of labor market discrimination against women and minorities, although views may often conflict, and a less extensive but also well-known literature on the effects of Affirmative Action on the employment of women or minorities. However, research by economists provides much less evidence and even less of a consensus on the question of whether Affirmative Action improves or impedes efficiency or performance, which is perhaps the key economic issue in the debate over Affirmative Action. This review focuses on all of these issues regarding Affirmative Action, but the major focus is on the efficiency/performance question. All in all, the evidence suggests to us that it may be possible to generate Affirmative Action programs that entail relatively little sacrifice of efficiency. Most importantly, there is at this juncture very little compelling evidence of deleterious efficiency effects of Affirmative Action. This does not imply that such costs do not exist, nor that the studies we review have captured the overall welfare effects of Affirmative Action. It does imply, though, that the empirical case against Affirmative Action on the grounds of efficiency is weak at best.

Assessing Affirmative Action

This article presents a search model which shows that search method choices should be related to their costs and expected productivities as well as to nonwage income and wage offer distributions. The empirical evidence then shows that the most frequently used search methods (i.e., friends and relatives and direct applications without referral) are also the most productive in generating offers and acceptances. The number of methods used is affected by factors that presumably reflect opportunities as well as income sources and needs. Specific methods are chosen in a manner that generates positive average effects on outcomes for those using them.

/pdf/search-method-use-by-unemployed-youth-1nqu96x8g5.pdf

Harry J. Holzer

Papers

The Spatial Mismatch Hypothesis: What Has the Evidence Shown?:

Search Method Use by Unemployed Youth

What Employers Want: Job Prospects for Less-Educated Workers

Assessing Affirmative Action

Search Method Use by Unemployed Youth