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Hamid NoghaniBehambari

Texas Tech University, Economics, Department Member
This paper aims to assess the effects of industrial pollution on infant mortality between the years 1850-1940 using full count decennial censuses. In this period, US economy experienced a tremendous rise in industrial activity with... more
This paper aims to assess the effects of industrial pollution on infant mortality between the years 1850-1940 using full count decennial censuses. In this period, US economy experienced a tremendous rise in industrial activity with significant variation among different counties in absorbing manufacturing industries. Since manufacturing industries are shown to be the main source of pollution, we use the share of employment at the county level in this industry to proxy for space-time variation in industrial pollution. Since male embryos are more vulnerable to external stressors like pollution during prenatal development, they will face higher likelihood of fetal death. Therefore, we proxy infant mortality with different measures of gender ratio. We show that the upswing in industrial pollution during late nineteenth century and early twentieth century has led to an increase in infant mortality. The results are consistent and robust across different scenarios, measures for our proxies, and aggregation levels. We find that infants and more specifically male infants had paid the price of pollution during upswing in industrial growth at the dawn of the 20th century. Contemporary datasets are used to verify the validity of the proxies. Some policy implications are discussed.
This paper studies the effect of air temperature on the transmission of COVID-19 in the U.S. using daily observations across counties. This study uses various ordinary least squares (OLS) models with a comprehensive set of fixed effects... more
This paper studies the effect of air temperature on the transmission of COVID-19 in the U.S. using daily observations across counties. This study uses various ordinary least squares (OLS) models with a comprehensive set of fixed effects to overcome unobserved heterogeneity issues across counties as well as the generalized method of moments (GMM) estimators as dynamic models to address endogeneity issue. Our main results indicate that an increase of one degree in temperature is associated with a reduction of 0.041 cases per 100,000 population at the county-level. We run several robustness tests and all the models confirm the impact of temperature on COVID-19 confirmed new cases. These results help policymakers and economists in optimizing decisions and investments to reduce COVID-19 new cases.
This paper explores the potential benefit of enforcements in Child Support policies to child mortality rates. Exploiting the sharp changes in Child Support laws across states and over the years 1975-1993, we find that adoption of a full... more
This paper explores the potential benefit of enforcements in Child Support policies to child mortality rates. Exploiting the sharp changes in Child Support laws across states and over the years 1975-1993, we find that adoption of a full set of policies reduces the child death rate by 23% relative to the mean. The results are robust across multiple subsamples and a variety of specifications. Three potential mechanisms of impact include better health utilization during the prenatal period, improved birth outcomes, and moving toward better-quality health insurance for children.
Research Interests:
This paper studies the effect of air temperature on the transmission of COVID-19 in the U.S. using daily observations across counties. This study uses various ordinary least squares (OLS) models with a comprehensive set of fixed effects... more
This paper studies the effect of air temperature on the transmission of COVID-19 in the U.S. using daily observations across counties. This study uses various ordinary least squares (OLS) models with a comprehensive set of fixed effects to overcome unobserved heterogeneity issues across counties as well as the generalized method of moments (GMM) estimators as dynamic models to address endogeneity issue. Our main results indicate that an increase of one degree in temperature is associated with a reduction of 0.041 cases per 100,000 population at the county-level. We run several robustness tests and all the models confirm the impact of temperature on COVID-19 confirmed new cases. These results help policymakers and economists in optimizing decisions and investments to reduce COVID-19 new cases.
In this paper, we investigate the relationship between the unemployment rate and suicide rate using data from all provinces of Iran and over the years 2009-2015. We exploit the variations in national industry-specific labor demand changes... more
In this paper, we investigate the relationship between the unemployment rate and suicide rate using data from all provinces of Iran and over the years 2009-2015. We exploit the variations in national industry-specific labor demand changes and province-level industry-composition as plausibly exogenous shocks to the province-level employment growth. Using a 2SLS-IV approach, we find that a 1 percentage point increase in the unemployment rate is associated with 0.72 and 0.68 higher incidences of suicide attempt and death per 100,000 population, respectively. Although both OLS and 2SLS-IV approach reveals consistent and statistically significant results, the marginal effects of the 2SLS-IV approach are larger, implying that Endogeneity issues underbias the OLS results of the relationship between unemployment rates and suicide rates.