Do Smart Cities Grow Faster?

Previous studies have found a strong positive correlation between human capital, measured as the share of the adult population with a college degree, and population growth in metropolitan statistical areas (MSA) in the U.S. In this paper, I corroborate that the human capital-growth connection is indeed statistically significant, although much weaker than previously thought. The evidence suggests that the main reason behind this bias lies on endogeneity issues that have not been thoroughly addressed in the literature. In particular, omitting lagged MSA growth in regressions of current MSA growth on human capital overestimates the impact of skills by 100 per cent. Given that past growth has been shown to be one of the main drivers of current MSA growth (Glaeser 1994a), omitting the former variable in growth-education regressions would bias our human capital estimates upwards. Upon further examination, however, I show that MSA-specific fixed effects explain away the alleged impact of past on current growth. This suggests that the individual characteristics of the city that made it grow in the first place, and not lagged MSA growth per se, are what drives future MSA growth. Yet, even after accounting for these MSA-specific fixed effects, the impact of human capital on MSA growth does not disappear: my estimates suggest that a decadal increase of 10 per cent in the share of the adult population with a college degree translates into a rise of between 3 and up to 5 per cent in the MSA population growth rate during the same period. Finally, instrumental variable regressions strongly support the direction from skills to growth, abating potential reverse causality concerns.human capital, urban growth, skills, education, population changes

Do Smart Cities Grow Faster?

Previous studies have found a strong positive correlation between human capital, measured as the share of the adult population with a college degree, and population growth in metropolitan statistical areas (MSA) in the U.S. In this paper, I corroborate that the human capital-growth connection is indeed statistically significant, although much weaker than previously thought. The evidence suggests that the main reason behind this bias lies on endogeneity issues that have not been thoroughly addressed in the literature. In particular, omitting lagged MSA growth in regressions of current MSA growth on human capital overestimates the impact of skills by 100 per cent. Given that past growth has been shown to be one of the main drivers of current MSA growth (Glaeser 1994a), omitting the former variable in growth-education regressions would bias our human capital estimates upwards. Upon further examination, however, I show that MSA-specific fixed effects explain away the alleged impact of past on current growth. This suggests that the individual characteristics of the city that made it grow in the first place, and not lagged MSA growth per se, are what drives future MSA growth. Yet, even after accounting for these MSA-specific fixed effects, the impact of human capital on MSA growth does not disappear: my estimates suggest that a decadal increase of 10 per cent in the share of the adult population with a college degree translates into a rise of between 3 and up to 5 per cent in the MSA population growth rate during the same period. Finally, instrumental variable regressions strongly support the direction from skills to growth, abating potential reverse causality concerns. Clasificación JEL: R11, J24

A snapshot of antimicrobial resistance in Mexico. Results from 47 centers from 20 states during a six-month period.

AIM:We aimed to assess the resistance rates of antimicrobial-resistant, in bacterial pathogens of epidemiological importance in 47 Mexican centers. MATERIAL AND METHODS:In this retrospective study, we included a stratified sample of 47 centers, covering 20 Mexican states. Selected isolates considered as potential causatives of disease collected over a 6-month period were included. Laboratories employed their usual methods to perform microbiological studies. The results were deposited into a database and analyzed with the WHONET 5.6 software. RESULTS:In this 6-month study, a total of 22,943 strains were included. Regarding Gram-negatives, carbapenem resistance was detected in ≤ 3% in Escherichia coli, 12.5% in Klebsiella sp. and Enterobacter sp., and up to 40% in Pseudomonas aeruginosa; in the latter, the resistance rate for piperacillin-tazobactam (TZP) was as high as 19.1%. In Acinetobacter sp., resistance rates for cefepime, ciprofloxacin, meropenem, and TZP were higher than 50%. Regarding Gram-positives, methicillin resistance in Staphylococcus aureus (MRSA) was as high as 21.4%, and vancomycin (VAN) resistance reached up to 21% in Enterococcus faecium. Acinetobacter sp. presented the highest multidrug resistance (53%) followed by Klebsiella sp. (22.6%) and E. coli (19.4%). CONCLUSION:The multidrug resistance of Acinetobacter sp., Klebsiella sp. and E. coli and the carbapenem resistance in specific groups of enterobacteria deserve special attention in Mexico. Vancomycin-resistant enterococci (VRE) and MRSA are common in our hospitals. Our results present valuable information for the implementation of measures to control drug resistance