John C. Ham

New York University

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Lara Shore‐Sheppard

Williams College

JŠ

Jan Švejnar

Columbia University

Daniela Iorio

University of Bologna

Xianghong Li

Shijiazhuang Tiedao University

Katherine Terrell

Ross School

John H. Kagel

The Ohio State University

Michelle Sovinsky Goeree

University of Mannheim

Robert Lalonde

Université de Lorraine

Michelle Sovinsky

University of Mannheim

Serkan Ozbeklik

Claremont McKenna College

Cooperative Institutions

National Bureau of Economic Research

University of Southern California

Southern California University for Professional Studies

York University

University of Maryland, College Park

IZA - Institute of Labor Economics

University of Michigan–Ann Arbor

University of California, Berkeley

University of Toronto

New York University

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Two-stage estimation of structural labor supply parameters using interval data from the 1971 canadian census

Journal of Econometrics (1984)

John C. Ham Chêng Hsiao

Interval estimation

Interval data

10.1016/0304-4076(84)90076-9

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Citations (20)

Three empirical essays on constraints in the labor market

University Microfilms International eBooks (1980)

John C. Ham

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The role of cognitive ability and personality traits for men and women in gift exchange outcomes

Experimental Economics (2016)

Emel Filiz‐Ozbay John C. Ham John H. Kagel Erkut Özbay

Agreeableness

Pooling

10.1007/s10683-016-9503-2

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Citations (18)

Personality traits and Bulimia Nervosa

RePEc: Research Papers in Economics (2016)

John C. Ham Daniela Iorio Michelle Sovinsky

Bulimia Nervosa is a detrimental eating disorder that impacts millions of women. We examine the role played by socioeconomic factors and personality traits in bulimic behavior. Using data on eating disordered behavior from the National Heart, Lung, and Blood Institute Growth and Health Study, we present results showing that personality traits are significant determinants of bulimic behavior, even after controlling for race and class. This finding suggests that policies based on both the SES characteristics and the personality traits will be more effective for targeting those at risk.

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Correcting for Seam Bias when Estimating Discrete Variable Models, with an Application to Analyzing the Employment Dynamics of Disadvantaged Women in the SIPP 1

John C. Ham Xianghong Li Lara Shore‐Sheppard

Disadvantaged

Omitted-variable bias

Dynamics

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Citations (9)

Loan Demand: An Empirical Anaylsis Using Micro Data

The Review of Economics and Statistics (1987)

John C. Ham Arie Melnik

10.2307/3473041

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Citations (48)

The Hausman test and weak instruments

Journal of Econometrics (2010)

Jinyong Hahn John C. Ham Hyungsik Roger Moon

Endogeneity

Hausman test

Instrumental variable

Explanatory power

Variables

10.1016/j.jeconom.2010.09.009

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Citations (103)

Novelty, Knowledge Spillovers and Innovation: Evidence from Nobel Laureates

RePEc: Research Papers in Economics (2017)

John C. Ham Bruce A. Weinberg

Using a new identification strategy and unique, rich data on Nobel laureates, we show that being in new or multiple locations, as measures of exposure to novel combinations of ideas, and the number of other local important innovators, all increase the probability that eventual Nobel laureates begin their Nobel prize winning work. Strikingly, and consistent with our identifying assumptions, we find that none of these measures increase the probability of doing Nobel prize winning work. Our results strongly suggest that spillovers affect the generation of ideas, and help us understand the weak spillover effects previously estimated in the economics literature.

Spillover effect

Identification

Affect

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Citations (3)

Variation in Employment Growth in Canada: the Role of External, National, Regional and Industrial Factors

Joseph G. Altonji John C. Ham

Variation (astronomy)

Regional variation

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Citations (2)

Estimating the Effect of Training on Employment and Unemployment Durations: Evidence From Experimental Data

National Bureau of Economic Research (1991)

John C. Ham Robert Lalonde

Using data from a social experiment, we estimate the impact of training on the duration of employment and unemployment spells for AFDC recipients. Although an experimental design eliminates the need to construct a comparison group for this analysis, simple comparisons between the average durations or the transition rates of treatments' and controls' employment and unemployment spells lead to biased estimates of the effects of training. We present and implement several econometric approaches that demonstrate the importance of and correct for these biases. For the training program studied in the paper, we find that it raised employment rates because employment durations increased. In contrast, training did not lead to shorter unemployment spells.

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Citations (1)