Quantitative effects of heterogeneity in dynamic macroeconomics

The thesis studies quantitative implications of the real business cycle models with heterogeneous agents. The questions I ask are: First, Can the studied models not only replicate the aggregate time series facts but also the distributions of individual quantities such as consumption, hours worked, i...

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Bibliographic Details
Main Author: Maliar, Lilia
Other Authors: Ravn, Morten O.
Format: Doctoral Thesis
Language:English
Published: Universitat Pompeu Fabra 1999
Subjects:
33
Online Access:http://hdl.handle.net/10803/7599
http://nbn-resolving.de/urn:isbn:978-84-694-3940-1
id ndltd-TDX_UPF-oai-www.tdx.cat-10803-7599
record_format oai_dc
collection NDLTD
language English
format Doctoral Thesis
sources NDLTD
topic Macroeconomia
33
spellingShingle Macroeconomia
33
Maliar, Lilia
Quantitative effects of heterogeneity in dynamic macroeconomics
description The thesis studies quantitative implications of the real business cycle models with heterogeneous agents. The questions I ask are: First, Can the studied models not only replicate the aggregate time series facts but also the distributions of individual quantities such as consumption, hours worked, income, wealth observed in the micro data? Second, Does incorporating heterogeneity enhance the aggregate performance of the representative consumer models? To simplify the characterization of the equilibria in the models, I use results from aggregation theory. The thesis is composed of three chapters, each of which can be read independently. A l l chapters are joint with Serguei Maliar. The first chapter analyzes the predictions of a heterogeneous agents version of the model by Kydland and Prescott (1982). I calibrate and solve the model with eight heterogeneous agents to match the aggregate quantities and the distributions of productivity and wealth in the U.S. economy. I find that the model can generate the distributions of consumption and working hours which are consistent with patters observed in the data. I show that incorporating the heterogeneity helps to improve on the model's predictions with respect to labor markets. In particular, unlike a similar representative agent setup, the heterogeneous model can account for the Dunlop-Tarshis observation of weak correlation between productivity and hours worked. The second chapter constructs a heterogeneous agents version of the indivisible labor model by Hansen (1985) with search and home production. I calibrate and solve the model with five agents to replicate aggregate quantities and differences in productivity across agents in the U.S. economy. The model does reasonably well at reproducing cyclical behavior of the macroeconomic aggregates. At the individual level, it can account for the stylized facts that more productive individuals (i) enjoy a higher employment rate, (ii) have a lower volatility of employment, (iii) spend less time working at home. It is important to emphasize that none of the heterogeneous models with home production existing in the literature has been able to explain fact (ii). The third chapter studies distributive dynamics of wealth and income in a heterogeneous agents version of Kydland and Prescott's (1982) model. I show that imder the assumptions of complete markets and Cobb-Douglas preferences, the evolution of wealth and income distributions in the model can be described in terms of aggregate variables and time-invariant agent-specific parameters. This allows me to characterize explicitly the behavior of such inequality measvures as the coefficient of variation of wealth and income over the business cycle. I test the model's implications by using the time series on the U.K. economy. The predictions are in agreement with the data.
author2 Ravn, Morten O.
author_facet Ravn, Morten O.
Maliar, Lilia
author Maliar, Lilia
author_sort Maliar, Lilia
title Quantitative effects of heterogeneity in dynamic macroeconomics
title_short Quantitative effects of heterogeneity in dynamic macroeconomics
title_full Quantitative effects of heterogeneity in dynamic macroeconomics
title_fullStr Quantitative effects of heterogeneity in dynamic macroeconomics
title_full_unstemmed Quantitative effects of heterogeneity in dynamic macroeconomics
title_sort quantitative effects of heterogeneity in dynamic macroeconomics
publisher Universitat Pompeu Fabra
publishDate 1999
url http://hdl.handle.net/10803/7599
http://nbn-resolving.de/urn:isbn:978-84-694-3940-1
work_keys_str_mv AT maliarlilia quantitativeeffectsofheterogeneityindynamicmacroeconomics
_version_ 1716592880963813376
spelling ndltd-TDX_UPF-oai-www.tdx.cat-10803-75992013-07-11T03:42:29ZQuantitative effects of heterogeneity in dynamic macroeconomicsMaliar, LiliaMacroeconomia33The thesis studies quantitative implications of the real business cycle models with heterogeneous agents. The questions I ask are: First, Can the studied models not only replicate the aggregate time series facts but also the distributions of individual quantities such as consumption, hours worked, income, wealth observed in the micro data? Second, Does incorporating heterogeneity enhance the aggregate performance of the representative consumer models? To simplify the characterization of the equilibria in the models, I use results from aggregation theory. The thesis is composed of three chapters, each of which can be read independently. A l l chapters are joint with Serguei Maliar. The first chapter analyzes the predictions of a heterogeneous agents version of the model by Kydland and Prescott (1982). I calibrate and solve the model with eight heterogeneous agents to match the aggregate quantities and the distributions of productivity and wealth in the U.S. economy. I find that the model can generate the distributions of consumption and working hours which are consistent with patters observed in the data. I show that incorporating the heterogeneity helps to improve on the model's predictions with respect to labor markets. In particular, unlike a similar representative agent setup, the heterogeneous model can account for the Dunlop-Tarshis observation of weak correlation between productivity and hours worked. The second chapter constructs a heterogeneous agents version of the indivisible labor model by Hansen (1985) with search and home production. I calibrate and solve the model with five agents to replicate aggregate quantities and differences in productivity across agents in the U.S. economy. The model does reasonably well at reproducing cyclical behavior of the macroeconomic aggregates. At the individual level, it can account for the stylized facts that more productive individuals (i) enjoy a higher employment rate, (ii) have a lower volatility of employment, (iii) spend less time working at home. It is important to emphasize that none of the heterogeneous models with home production existing in the literature has been able to explain fact (ii). The third chapter studies distributive dynamics of wealth and income in a heterogeneous agents version of Kydland and Prescott's (1982) model. I show that imder the assumptions of complete markets and Cobb-Douglas preferences, the evolution of wealth and income distributions in the model can be described in terms of aggregate variables and time-invariant agent-specific parameters. This allows me to characterize explicitly the behavior of such inequality measvures as the coefficient of variation of wealth and income over the business cycle. I test the model's implications by using the time series on the U.K. economy. The predictions are in agreement with the data.Universitat Pompeu FabraRavn, Morten O.Universitat Pompeu Fabra. Departament d'Economia i Empresa1999-09-08info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10803/7599urn:isbn:978-84-694-3940-1TDX (Tesis Doctorals en Xarxa)enginfo:eu-repo/semantics/openAccessADVERTIMENT. L'accés als continguts d'aquesta tesi doctoral i la seva utilització ha de respectar els drets de la persona autora. Pot ser utilitzada per a consulta o estudi personal, així com en activitats o materials d'investigació i docència en els termes establerts a l'art. 32 del Text Refós de la Llei de Propietat Intel·lectual (RDL 1/1996). Per altres utilitzacions es requereix l'autorització prèvia i expressa de la persona autora. En qualsevol cas, en la utilització dels seus continguts caldrà indicar de forma clara el nom i cognoms de la persona autora i el títol de la tesi doctoral. No s'autoritza la seva reproducció o altres formes d'explotació efectuades amb finalitats de lucre ni la seva comunicació pública des d'un lloc aliè al servei TDX. Tampoc s'autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant als continguts de la tesi com als seus resums i índexs.