The Wage Dynamics of Internal Migration within the United States

Using an extended panel of data from the National Longitudinal Survey of Youth 1979 (NLSY79), this study demonstrates that young interstate migrants receive significant positive returns to geographic mobility. Pecuniary returns generally accumulate over a five year period following migration, during which migrants experience superior wage growth vis-a-vis non-migrants. Fixed-effects estimates suggest that migrants collect a post-migration wage premium of nearly 5 percent. Because fixed-effects estimation accounts for correlation between migration and unobservable individual-specific characteristics (typically referred to as "ability"), the positive effect of migration on wages can not be explained by the hypothesis that the migrant sample are drawn from the upper tail of the ability distribution.Geographic Mobility; Migrant; Migration; Mobility; Wage

The urban wage growth premium: sorting or learning?

This paper is concerned with the urban wage premium and addresses two central issues about which the field has not yet reached a consensus: first, the extent to which sorting of high ability individuals into urban areas explains the urban wage premium and second, whether workers receive this wage premium immediately, or through faster wage growth over time. Using a large panel of worker-level data from Britain, we first demonstrate the existence of an urban premium for wage levels, which increases in city size. We next provide evidence of a city size premium on wage growth, but show that this effect is driven purely by the increase in wage that occurs in the first year that a worker moves to a larger location. Controlling for sorting on the basis of unobservables we find no evidence of an urban wage growth premium. Experience in cities does have some impact on wage growth, however. Specifically, we show that workers who have at some point worked in a city experience faster wage growth than those who have never worked in a city

The Empirics of Agglomeration Economies

We propose an integrated framework to discuss the empirical literature on the local determinants of agglomeration effects. We start by presenting the theoretical mechanisms that ground individual and aggregate empirical specifications. We gradually introduce static effects, dynamic effects, and workers' endogenous location choices. We emphasise the impact of local density on productivity but we also consider many other local determinants supported by theory. Empirical issues are then addressed. Most important concerns are about endogeneity at the local and individual levels, the choice of a productivity measure between wage and TFP, and the roles of spatial scale, firms' characteristics, and functional forms. Estimated impacts of local determinants of productivity, employment, and firms' locations choices are surveyed for both developed and developing economies. We finally provide a discussion of attempts to identify and quantify specific agglomeration mechanisms

The price of mobility

This paper addresses the question concerning the price of geographic mobility in various labour market and migration scenarios. Pivotal points are expected mobility premiums which are sufficient to tip the scales in favour of moving to a geographically distinct location. These premiums are first derived within a theoretical model, accounting not only for location-specific amenity levels or labour market conditions, but also for heterogeneous personality traits and preferences. Derived hypotheses demonstrate that—in presence of heterogeneous psychic costs or adjustment capabilities—expected mobility premiums can remain distinctly positive even in an unemployment scenario. Furthermore, adjustment capabilities are to a large extent related to earlier mobility experiences, implying that labour mobility is partially learnable

PREDICTING THE RANDOM: UNDERSTANDING ISLAMIST LONE WOLF TERRORISM

Although Islamist lone wolf terrorism seems to be defined by its very randomness, the actors themselves can be predictable. This thesis examines four case studies of seemingly disparate terrorist attacks conducted by Islamist lone wolf actors and identifies seven specific commonalities that contribute to an increased potential for self-radicalization. Furthermore, it examines stochastic violence in the context of 21st century jihad. Today the lone wolf is the weapon of the stochastic terrorist. The four case studies are 1) Pulse nightclub in Orlando, Florida, 2016; 2) Soldier Readiness Processing Center, Fort Hood, Texas, 2009; 3) Bastille Day, Nice, France, 2016; and 4) San Bernardino, California, 2015. The seven commonalities are 1) engrossment in radical messaging/propaganda on the internet; 2) first- or second-generation immigrant; 3) reduction of personal effects/finances; 4) affinity with extremist group(s); 5) rapid shift in beliefs or mosque attendance; 6) withdrawal from, or absence of, family/friends/romantic relationships; and 7) sexuality (repression or guilt).Major, United States ArmyMajor, United States ArmyApproved for public release. distribution is unlimite

EFFECTS OF TWO PURINES, AN ALKYLATING AGENT, AND THEIR COMBINATIONS ON THE REGENERATION BLASTEMA OF TRITURUS VIRIDESCENS DORSALIS (HARLAN).

Abstract not availabl

SOCRATIC EPISTEME IN TWO PLAYS OF EURIPIDES: THE MEDEA AND HIPPOLYTUS.

Abstract not availabl