No open-access location is known for this record yet.
No open-access location is known for this record yet.
R esearchers have devoted considerable attention to understanding and overcoming a number of methodological concerns needed to obtain an unbiased estimate of the degree of intergenerational mobility. Solon (1992) and Zimmerman (1992) highlight measurement errors associated with the use of annual as opposed to longer-term measures of earnings; Jenkins (1987), Reville (1995), and Grawe (2001b) point to related problems associated with the age at which parents and children are observed; and countless studies using multiple data sets have attempted to find “the number” that best estimates intergenerational mobility in earnings and income. But a new line of literature seeks to move beyond strict measurement in an effort to better understand the transmission of economic status. Even if estimates are biased, if the biases are similar across groups or across time, then the results may yet be useful. For instance, Couch and Lillard in Chapter 8 look for cross-country differences in regression non-linearities and the authors of Chapters 5 and 6 examine trends in mobility estimates over time. In fact, as Grawe and Mulligan (2002) discuss, an entire literature has developed to determine the extent to which credit constraints affect intergenerational correlations. This chapter joins this endeavor, addressing several largely unexplored questions. The first is perhaps the most basic: what exactly is meant when an economy is said to be open or to exhibit equality of opportunity?
Loading…
Stored only when both papers are in the corpus — 146 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.