Institution
Federal Reserve Bank of St. Louis
Other•St Louis, Missouri, United States•
About: Federal Reserve Bank of St. Louis is a other organization based out in St Louis, Missouri, United States. It is known for research contribution in the topics: Monetary policy & Inflation. The organization has 203 authors who have published 1650 publications receiving 46084 citations.
Topics: Monetary policy, Inflation, Interest rate, Business cycle, Debt
Papers published on a yearly basis
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TL;DR: In this article, the authors constructed and modified a baseline cash-in-advance model to illustrate the main ideas and showed how limited participation can explain the liquidity effect and nonneutralities of money arising from the distribution effects of monetary policy actions.
Abstract: An exploration of limited participation models reviews the literature and plots some new directions of research in this area. I constructed and modified a baseline cash-in-advance model to illustrate the main ideas. The model shows how limited participation can explain the liquidity effect and nonneutralities of money arising from the distribution effects of monetary policy actions.
23 citations
TL;DR: In this article, the authors estimate Okun's coefficients separately for each U.S. state using an unobserved component framework and find variation of the coefficients across states, and exploit this heterogeneity of Okun coefficients to directly examine the potential factors that shape Okun law, and find that indicators of more flexible labor markets (higher levels of education achievement in the population, lower rate of unionization, and a higher share of non-manufacturing employment) are important determinants of the differences in Okun coefficient across states.
22 citations
TL;DR: In this article, the authors show that imperfect competition can lead to indeterminacy in aggregate output in a standard DSGE model with imperfect competition, and they provide a justification for exogenous variations in desired markups, which play an important role as a source of cost-push shocks in monetary policy literature.
22 citations
TL;DR: This article used a dynastic model of household behavior to estimate and decomposed the correlations in earnings across generations and found that the family and division of labor within the household are the main source of the correlation across generation and not just assorting mating.
Abstract: This paper uses a dynastic model of household behavior to estimate and decomposed the correlations in earnings across generations. The estimate model can explain 75% to 80% of the observed correlation in lifetime earnings between fathers and sons, mothers and daughters, and families across generations. The main results are that the family and division of labor within the household are the main source of the correlation across generation and not just assorting mating. The interaction of human capital accumulation in labor market, the nonlinear return to part-time versus full-time work, and the return parental time investment in children are the main driving force behind the intergenerational correlation in earnings and assortative mating just magnify these forces.
22 citations
TL;DR: The authors construct a model of the consequences of terrorism on trade, where firms in trading nations face different costs arising from domestic and transnational terrorism, using a dyadic dataset in a gr...
Abstract: We construct a model of the consequences of terrorism on trade, where firms in trading nations face different costs arising from domestic and transnational terrorism. Using a dyadic dataset in a gr...
22 citations
Authors
Showing all 214 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| William Easterly | 93 | 253 | 49657 |
| David K. Levine | 66 | 358 | 22455 |
| Lucio Sarno | 65 | 218 | 17418 |
| Paul W. Wilson | 53 | 147 | 18562 |
| Christopher J. Neely | 47 | 201 | 8438 |
| Edward Nelson | 46 | 143 | 7819 |
| David C. Wheelock | 40 | 173 | 6125 |
| Michele Boldrin | 40 | 154 | 8365 |
| Massimo Guidolin | 36 | 230 | 5640 |
| Daniel L. Thornton | 36 | 230 | 5064 |
| Jeremy M. Piger | 34 | 98 | 5997 |
| Howard J. Wall | 34 | 136 | 4488 |
| Michael T. Owyang | 34 | 204 | 3890 |
| Christopher Otrok | 34 | 98 | 7601 |
| Ping Wang | 33 | 241 | 4263 |