Timothy G Conley
Biographic Data
| ID | 5847671 |
|---|---|
| NAME | Timothy G Conley |
| GIVEN NAMES | Timothy G |
| FAMILY NAME | Conley |
| SIGNATURE | CONLEY T G |
| AFFILIATIONS | University of Chicago |
| ORCID | 0009-0006-7520-3330 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 26 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1994 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 3 |
Social Interactions, Mechanisms, and Equilibrium
We develop and estimate a model of student study time choices on a social network. The model is designed to exploit unique data in the Berea Panel Study. Study time data allow us to quantify an intuitive mechanism for academic social interactions: own study time may depend on friend study time in a heterogeneous manner. Social network data allow us to embed study time and resulting academic achievement in an estimable equilibrium framework. We de…
Plausibly Exogenous
Instrumental variable (IV) methods are widely used to identify causal effects in models with endogenous explanatory variables. Often the instrument exclusion restriction that underlies the validity of the usual IV inference is suspect; that is, instruments are only plausibly exogenous. We present practical methods for performing inference while relaxing the exclusion restriction. We illustrate the approaches with empirical examples that examine t…
Inference with “Difference in Differences” with a Small Number of Policy Changes
In difference-in-differences applications, identification of the key parameter often arises from changes in policy by a small number of groups. In contrast, typical inference assumes that the number of groups changing policy is large. We present an alternative inference approach for a small (finite) number of policy changers, using information from a large sample of nonchanging groups. Treatment effect point estimators are not consistent, but we …
Learning about a New Technology
This paper investigates the role of social learning in the diffusion of a new agricultural technology in Ghana. We use unique data on farmers' communication patterns to define each individual's information neighborhood. Conditional on many potentially confounding variables, we find evidence that farmers adjust their inputs to align with those of their information neighbors who were surprisingly successful in previous periods. The relationship of …
A Spatial Analysis of Sectoral Complementarity
This paper presents a spatial econometric method for characterizing productivity comovement across sectors of the U.S. economy. Input-output relations provide an economic distance measure that is used to characterize interactions between sectors, as well as conduct estimation and inference. We construct two different economic distance measures. One metric implies that two sectors are close to one another if they use inputs of other industrial sec…
Socio‐economic distance and spatial patterns in unemployment
This paper examines the spatial patterns of unemployment in Chicago between 1980 and 1990. We study unemployment clustering with respect to different social and economic distance metrics that reflect the structure of agents' social networks. Specifically, we use physical distance, travel time, and differences in ethnic and occupational distribution between locations. Our goal is to determine whether our estimates of spatial dependence are consist…
Social Learning Through Networks
Metadata only record
GMM estimation with cross sectional dependence
Nativity and Wealth in Mid-Nineteenth-Century Cities
This article uses evidence from the manuscripts of the 1860 federal census to analyze the wealth of adult males in Boston, New York, Chicago, and Indianapolis. Previous multivariate analyses of wealth from the census have been flawed by reliance on ordinary least squares; we instead use quantile regression. Immigrants fared considerably better in the Midwest than the East: immigrants in the midwestern cities held more wealth than their eastern co…
Quantile Regression Analysis of Censored Wealth Data
(1994). Quantile Regression Analysis of Censored Wealth Data. Historical Methods: A Journal of Quantitative and Interdisciplinary History: Vol. 27, No. 4, pp. 149-165
Nativity and Wealth in Mid-Nineteenth-Century Cities
This article uses evidence from the manuscripts of the 1860 federal census to analyze the wealth of adult males in Boston, New York, Chicago, and Indianapolis. Previous multivariate analyses of wealth from the census have been flawed by reliance on ordinary least squares; we instead use quantile regression. Immigrants fared considerably better in the Midwest than the East: immigrants in the midwestern cities held more wealth than their eastern co…
Quantile Regression Analysis of Censored Wealth Data
(1994). Quantile Regression Analysis of Censored Wealth Data. Historical Methods: A Journal of Quantitative and Interdisciplinary History: Vol. 27, No. 4, pp. 149-165
A Spatial Analysis of Sectoral Complementarity
This paper presents a spatial econometric method for characterizing productivity comovement across sectors of the U.S. economy. Input-output relations provide an economic distance measure that is used to characterize interactions between sectors, as well as conduct estimation and inference. We construct two different economic distance measures. One metric implies that two sectors are close to one another if they use inputs of other industrial sec…
Quantile Regression Analysis of Censored Wealth Data
(1994). Quantile Regression Analysis of Censored Wealth Data. Historical Methods: A Journal of Quantitative and Interdisciplinary History: Vol. 27, No. 4, pp. 149-165
Nativity and Wealth in Mid-Nineteenth-Century Cities
This article uses evidence from the manuscripts of the 1860 federal census to analyze the wealth of adult males in Boston, New York, Chicago, and Indianapolis. Previous multivariate analyses of wealth from the census have been flawed by reliance on ordinary least squares; we instead use quantile regression. Immigrants fared considerably better in the Midwest than the East: immigrants in the midwestern cities held more wealth than their eastern co…
GMM estimation with cross sectional dependence
Social Learning Through Networks
Metadata only record
Socio‐economic distance and spatial patterns in unemployment
This paper examines the spatial patterns of unemployment in Chicago between 1980 and 1990. We study unemployment clustering with respect to different social and economic distance metrics that reflect the structure of agents' social networks. Specifically, we use physical distance, travel time, and differences in ethnic and occupational distribution between locations. Our goal is to determine whether our estimates of spatial dependence are consist…
A Spatial Analysis of Sectoral Complementarity
This paper presents a spatial econometric method for characterizing productivity comovement across sectors of the U.S. economy. Input-output relations provide an economic distance measure that is used to characterize interactions between sectors, as well as conduct estimation and inference. We construct two different economic distance measures. One metric implies that two sectors are close to one another if they use inputs of other industrial sec…
Learning about a New Technology
This paper investigates the role of social learning in the diffusion of a new agricultural technology in Ghana. We use unique data on farmers' communication patterns to define each individual's information neighborhood. Conditional on many potentially confounding variables, we find evidence that farmers adjust their inputs to align with those of their information neighbors who were surprisingly successful in previous periods. The relationship of …
Inference with “Difference in Differences” with a Small Number of Policy Changes
In difference-in-differences applications, identification of the key parameter often arises from changes in policy by a small number of groups. In contrast, typical inference assumes that the number of groups changing policy is large. We present an alternative inference approach for a small (finite) number of policy changers, using information from a large sample of nonchanging groups. Treatment effect point estimators are not consistent, but we …
Plausibly Exogenous
Instrumental variable (IV) methods are widely used to identify causal effects in models with endogenous explanatory variables. Often the instrument exclusion restriction that underlies the validity of the usual IV inference is suspect; that is, instruments are only plausibly exogenous. We present practical methods for performing inference while relaxing the exclusion restriction. We illustrate the approaches with empirical examples that examine t…
Social Interactions, Mechanisms, and Equilibrium
We develop and estimate a model of student study time choices on a social network. The model is designed to exploit unique data in the Berea Panel Study. Study time data allow us to quantify an intuitive mechanism for academic social interactions: own study time may depend on friend study time in a heterogeneous manner. Social network data allow us to embed study time and resulting academic achievement in an estimable equilibrium framework. We de…
Econometrics (9 works) · Economics (9 works) · Mathematics (8 works) · Statistics (8 works) · Computer Science (4 works) · Estimator (3 works) · Geography (3 works) · Sociology (3 works) · Spatial and Panel Data Analysis (3 works) · Advanced Causal Inference Techniques (2 works)