Unobserved variables in archival research: Achieving both theoretical and statistical identification

Miller, James W.; Balthrop, Andrew; Davis‐Sramek, Beth; Richey, R. Glenn

doi:10.1111/jbl.12358

Cited by 6 publications

(2 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, to the extent that reported effects can be convincingly attributed to theoretical mechanisms (Astbury & Leeuw, 2010;Bunge, 1997) that should operate in other settings, there is confidence that the results generalize (J.W. Miller, 2023b;J. Miller et al, 2023).…”

mentioning

confidence: 75%

Investigating the dynamic and contingent effects of the US import air freight market throughout the phases of the COVID‐19 disruption

Kulpa,

Miller,

Thomas

2024

Transp. j.

View full text Add to dashboard Cite

Air freight is a fast and reliable mode of transportation in global supply chains. Because of its speed and reliability, air freight has been argued to help firms respond to supply chain disruptions. Yet, the literature lacks a quantitative analysis that examines the dynamics of air freight demand throughout the phases of a disruption as well the moderating factors that influence air freight demand throughout these phases. Drawing on the microanalytic view of property rights theory applied to the dynamics of air freight demand during the COVID‐19 disruption, the study hypothesizes that importers adjust air freight demand based on considerations of demand and lead time uncertainty and that these dynamics will be contingent on heterogeneous product characteristics. Specifically, the study hypothesizes that air freight demand will increase more for products used as intermediate inputs, and that products, regardless of their value, will have higher air freight demand during the large surge in demand after reopening from the initial COVID‐19 lockdowns. The hypotheses are tested using archival import data and other publicly available sources with panel regression models that include product and quarter fixed effects. The study finds support for these hypotheses.

show abstract

mentioning

confidence: 75%

Investigating the dynamic and contingent effects of the US import air freight market throughout the phases of the COVID‐19 disruption

Kulpa,

Miller,

Thomas

2024

Transp. j.

View full text Add to dashboard Cite

show abstract

“…In other words, firm age serves as a proxy for the working of one or more mechanisms. As our archival data prevent us from isolating any one specific mechanism's operation (Miller & Kulpa, 2022), we describe the multiple, complementary mechanisms that we expect bring about the hypothesized predictions to offer a more comprehensive, coherent theory (Miller et al., 2023). We adopt this theorizing approach as it follows best practices for studying the role of the passage of time shaping empirical relations in SCM research (Miller, Ganster, et al., 2018).…”

Section: Theory and Hypothesesmentioning

confidence: 99%

Job gain and job loss dynamics in the truck transportation industry

Miller,

Phares,

Burks

2024

J of Business Logistics

View full text Add to dashboard Cite

Every year, roughly 27% of all jobs in the truck transportation sector (NAICS 484) are reshuffled across motor carriers as existing carriers grow or shrink, new entrants begin operations, and existing firms exit. We take a first look at job gain and job loss dynamics in truck transportation, with a special emphasis on the roles of carrier age and job gain and loss dynamics in the manufacturing sector, the source for most trucking ton‐miles. In doing so, we draw on and extend theory in both supply chain management and economics. We test our predictions using archival administrative data covering 1995 through 2019 from the Census Bureau's Business Dynamics Statistics program that tracks the universe of truck transportation firms with employees. Results from fitting a series of mixed effects models provide strong evidence that job gain and job loss dynamics at trucking firms decline rapidly as carriers age. We further find these age‐related dynamics are moderated by employment dynamics in the manufacturing sector. Robustness testing shows job gains and losses dynamics in manufacturing are more predictive than the same dynamics in the distribution sector (wholesaling, retailing, and warehousing). We discuss implications of these findings for theory and practice.

show abstract

Shedding light on truck driver supply and demand: Heterogeneous state‐level recovery of trucking employment following the COVID‐19 employment shock

Phares,

Miller,

Burks

2024

Transp. j.

View full text Add to dashboard Cite

Is there a long‐term systemic shortage of truck drivers? We throw light on the underlying context—the demand for and supply of truck drivers—by investigating why states within the contiguous United States showed vastly different rates of recovery of state‐level truck transportation payrolls for May 2020–December 2021 following the negative employment shock brought about by COVID‐19 lockdowns in April 2020. We focus on heterogeneity in the industries that create demand for trucking services: state‐level natural resource extraction, warehousing, and container port activity. We create a state‐level archival data set of truck transportation establishment payrolls from the Quarterly Census of Employment and Wages, which we combine with other archival sources. We test our hypotheses via discontinuous growth curve models estimated using the mixed effects modeling framework. We find states that saw greater declines in natural resource extraction activity had much slower growth in trucking payrolls for May 2020–December 2021, whereas states that saw more warehousing activity growth or were home to large container ports saw faster growth in trucking payrolls. Our work extends theories regarding labor market dynamics in truck transportation and factor market rivalry, in addition to having important implications for managers and policy makers.

show abstract

Unobserved variables in archival research: Achieving both theoretical and statistical identification

Cited by 6 publications

References 43 publications

Investigating the dynamic and contingent effects of the US import air freight market throughout the phases of the COVID‐19 disruption

Investigating the dynamic and contingent effects of the US import air freight market throughout the phases of the COVID‐19 disruption

Job gain and job loss dynamics in the truck transportation industry

Shedding light on truck driver supply and demand: Heterogeneous state‐level recovery of trucking employment following the COVID‐19 employment shock

Contact Info

Product

Resources

About