fixes

Author: Smit-create

lectures/_static/quant-econ.bib

@@ -2518,7 +2518,6 @@ @article{benhabib_wealth_2019
 	volume = {109},
 	issn = {0002-8282},
 	shorttitle = {Wealth {Distribution} and {Social} {Mobility} in the {US}},
-	doi = {10.1257/aer.20151684},
 	abstract = {We quantitatively identify the factors that drive wealth dynamics in the United States and are consistent with its skewed cross-sectional distribution and with social mobility. We concentrate on three critical factors: (i) skewed earnings, (ii) differential saving rates across wealth levels, and (iii) stochastic idiosyncratic returns to wealth. All of these are fundamental for matching both distribution and mobility. The stochastic process for returns which best fits the cross-sectional distribution of wealth and social mobility in the United States shares several statistical properties with those of the returns to wealth uncovered by Fagereng et al. (2017) from tax records in Norway.},
 	language = {en},
 	number = {5},
@@ -2554,7 +2553,6 @@ @article{hog_cycle
 number = {4},
 pages = {842-853},
 doi = {https://doi.org/10.2307/1235116},
-eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.2307/1235116},
 abstract = {Abstract A surprisingly regular four year cycle in hogs has become apparent in the past ten years. This regularity presents an unusual opportunity to study the mechanism of the cycle because it suggests the cycle may be inherent within the industry rather than the result of lagged responses to outside influences. The cobweb theorem is often mentioned as a theoretical tool for explaining the hog cycle, although a two year cycle is usually predicted. When the nature of the hog industry is examined, certain factors become apparent which enable the cobweb theorem to serve as a theoretical basis for the present four year cycle.},
 year = {1960}
 }