Estimating Models of On-the-Job Search Using Record Statistics

Wage Growth Due to Human Capital Accumulation and Job Search: A Comparison between the United States and Germany

“…Altonji and Shakatko (1987), Abraham and Farber (1987), and Altonji and Williams (2005), in contrast, found much smaller returns to tenure. My finding that aggregate wage growth and general human capital accumulation account for most of the within-job wage growth for U.S. high school dropouts and graduates is consistent with results reported by Connolly and Gottschalk (2006) and Barlevy (2003). In line with my findings for Germany, Dustmann and Meghir (2006) found larger returns to tenure for low-skilled workers than for apprentices; Dustmann and Pereirra (2005) also concluded that returns to tenure are close to zero for apprentices.…”

On-the-Job Search, Productivity Shocks and the Individual Earnings Process

“…39 This, together with the fact that the transitory component v t+1 of the new wage obtained by a job mover is independent of the past transitory component v t in the previous job, has the particular implication that wage gains for job-to-job changers are independent of the number of offers raised in the past, or of the number of past job changes. Barlevy (2003) finds empirical support for such independence using NLSY data in a different (search) context.…”

“…As a consequence, estimation of these models tends to mostly rely on the cross-sectional dimension of the data, leaving aside the question of individual earnings dynamics. 5 Yet search models are inherently dynamic and have strong predictions about the process followed by individual wages over time. What little attention has been paid to those predictions has lead to the conclusion that, in the absence of individual-level shocks, job search models fail to accommodate the observed downward wage flexibility.…”

Optimal assignment of resources to strengthen the weakest link in an uncertain environment

“…, X n } in order statistics when X i 's follow, respectively, the Bernoulli and standard power distributions (Balakrishnan and Nevzorov 2003). Similarly, E(R) * = 1 1−(1−p) n , E(R) * = nβ nβ−1 , and E(R) * = √ πα 2 √ n in Theorems 3, 4, and 5, Pin et al (2002) Nuclear power plant maintenance Tidström (2004) Analysis of voting behavior Degan (2004) (Standard) Power Supply chain coordination Cachon (2002) Financial engineering van Dorp and Kotz (2002) Labor economics Barlevy (2003) Geometric Healthcare industry Carnahan et al (2006) Housing market Huang and Palmquist (2001) Quality control charts Ranjan et al (2003) (Standard) Pareto Automobile insurance Cohen (2003) Marketing Research Miller and Liu (2006) Satellite communications Jiang and Leung (2003) Rayleigh Budget forecasting Lee et al (1997) Image Processing Kuruoglu and Zerubia (2004) Solar energy engineering Moriarty et al (2002) respectively, if the probability distributions of the same family share a common parameter. These, too, coincide with the respective expected values of X (1) = Min{X 1 , X 2 , .…”