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Introduction. Analysis with Employer-Employee Matched Data. Firm Effectson Wages. Individual and firm heterogeneity in compensation: An analysis ofmatched longitudinal employer-employee data for the state of Washington (J.M.Abowd et al.). Determinants of pay in the Italian labor market: Jobs andworkers (P. Casavola et al.). Discrimination or individual effort? Regionalproductivity differentials in a large Italian firm (A. Ichino, P. Ichino).Compensation policies and firm productivity (J.S. Leonard et al.). Technologyand skill upgrading: Results from linked worker-plant data for Finnishmanufacturing (J. Vainiomaki). The impact of a disabling workplace injury onearnings and labor force participation (R.T. Reville). Wage Differentials inFirms. Why are racial and ethnic wage gaps larger for men than for women?Exploring the role of segregation using the new worker-establishmentcharacteristics database (K. Bayard et al.). Employer wage differentials inthe United States and Denmark (S.G. Bronars et al.). Do higher wages reflecthigher productivity? Education, gender and experience premiums in a matchedplant-worker data set (T. Hogeland, T.J. Klette). Sources of earningsdispersion in a linked employer-employee data set: Evidence from Norway (K.G.Salvanes et al.). Firm Effects and Worker Turnover. The employer's wagepolicy and wage turnover (E. Barth, H. Dale-Olsen). Separations at the firmlevel (G.J. van den Berg et al.). On the incidence of layoffs (W.H.J.Hassink). The effect of worker reallocation on the earnings distribution:Longtitudinal evidence from linked data (J. Lane et al.). Past-yearemployment, slow reemployment, and earnings losses: The case of workerdisplacement in France (D.N. Margolis). Econometric Issues Involved inAnalyzing Matched Employer-Employee Data.