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This paper aims to present recently published resources on information literacy and library instruction through an extensive annotated bibliography of publications covering all library types.

This paper annotates English-language periodical articles, monographs, dissertations and other materials on library instruction and information literacy published in 2017 in over 200 journals, magazines, books and other sources.

The paper provides a brief description for all 590 sources.

The information may be used by librarians and interested parties as a quick reference to literature on library instruction and information literacy.

The first Research in Labor Economics (RLE) volume was published in 1977. Its founding editor, Ronald Ehrenberg, saw the need for high quality substantive research papers in the labor/human resource area. Each volume was to contain “original contributions comparable (or exceeding) those found in leading journals.” The articles were of three genres: (1) results from ongoing or completed important research endeavors, (2) critical survey articles, and (3) symposia on policy related topics (RLE, Vol. 1, p. vii). In 1995, Solomon Polachek took over as series editor. Beginning in 2007 RLE affiliated with the Institute for the Study of Labor (IZA), an international network of about 1,100 labor economists spanning more than 40 countries. Konstantinos Tatsiramos became the IZA coeditor in 2008 after taking over from Olivier Bargain. Finally in 2011 RLE established an editorial board consisting of Orley C. Ashenfelter, Francine D. Blau, Richard Blundell, David Card, Ronald G. Ehrenberg, Richard B. Freeman, Daniel S. Hamermesh, James J. Heckman, Alan B. Krueger, Edward P. Lazear, Christopher A. Pissarides, and Klaus F. Zimmermann. Two are Nobel Laureates and all are top labor economists.

This paper aims to investigate the effect of the COVID-19 pandemic market shock on house pricing, time-on-market (TOM) and probability-of-sale functions using local multiple listing service data from Richmond, Virginia, USA.

The empirical analyses use a two-stage residual inclusion model to simultaneously address endogeneity and nonlinearity in modeling sales price and TOM, and a Heckman two-stage procedure to account for sample selection bias in estimating the probability-of-sale.

The pandemic shock not only directly impacted average home prices, TOM and probability-of-sale, but it also caused the coefficients of some of the factors that influence these metrics to change while others were stable to the exogenous shock of the pandemic. The authors find that coefficients in the hedonic pricing, TOM and probability-of-sale models did not shift instantaneously; instead, the impact evolved over several months at the beginning of the pandemic until stabilization.

The results should be of interest to buyers and sellers of residential properties, agents specializing in residential properties and researchers looking to better capture the impact of exogenous events on housing prices and buyer preferences.

Advances in Econometrics is a series of research volumes first published in 1982 by JAI Press. The authors present an update to the history of the Advances in Econometrics series. The initial history, published in 2012 for the 30th Anniversary Volume, describes key events in the history of the series and provides information about key authors and contributors to Advances in Econometrics. The authors update the original history and discuss significant changes that have occurred since 2012. These changes include the addition of five new Senior Co-Editors, seven new AIE Fellows, an expansion of the AIE conferences throughout the United States and abroad, and the increase in the number of citations for the series from 7,473 in 2012 to over 25,000 by 2022.

The purpose of this paper is to analyze the impact of microfinance programs on the income and food expenditure of farm and nonfarm households in Thailand.

The study employs secondary data from the Thai Socioeconomic Survey (cross-sectional data from 2017 and panel data from 2012 to 2017). The cross-sectional data (2017) include 43,210 households. Panel data from the 2012 and 2017 Socioeconomic surveys (SES surveys) include 4,406 households. The estimation methods include propensity score matching (PSM) and a fixed effect (FE) model.

The result shows that village funds (VFs) have a significant negative impact on income and food expenditure for both farm and nonfarm households. The empirical results reveal that the saving groups for production (SGPs) effects are positively significant in terms of income and food expenditure, but only for farm households. The FE model result also shows that while VFs have a negative impact on income they have a positive impact on food expenditure for farm households. In contrast, SPGs have no impact on both farm and nonfarm households' income and food expenditure.

Farm and nonfarm households require both welfare and microfinance programs. Microfinance programs can only help these households once they have the necessary education. The government should provide social programs and business skills for these households; completion of these courses should be a pre-requisite for accessing microfinance programs.

This study is unique because it reveals the microfinance impact between VFs and SGPs programs so that most low-income and poor people in Thailand can access basic financial services.

Drawing on the dynamic capabilities theory, this paper proposes that supply chain (SC) strategies (i.e. the lean SC and agile SC strategies) will mediate the relationship between big data analytics (BDA) and SC performance. Furthermore, from the perspective of strategic alignment, this study hypothesizes that the effect of the SC strategy on SC performance is differently moderated by the information system (IS) strategy (i.e. the IS innovator and IS conservative strategies).

This study used 159 match-paired questionnaires collected from Chinese firms to empirically test the hypotheses.

Results show the positive direct and indirect impact of BDA on SC performance. Specifically, the lean and agile SC strategies mediate the relationship between BDA and SC performance. Furthermore, the results indicate that the IS innovator and IS conservative strategies differentially moderate the effect of the lean and agile SC strategies on SC performance. Specifically, the IS innovator strategy positively moderates the effect of the agile SC strategy on SC performance. By contrast, the IS conservative strategy positively moderates the effect of the lean SC strategy on SC performance but negatively moderates the effect of the agile SC strategy on SC performance.

This study provides a comprehensive understanding of how SC and IS strategies can help firms leverage BDA to improve SC performance.

Advances in Econometrics is a series of research annuals first published in 1982 by JAI Press. In this paper, we present a brief history of the series over its first 30 years. We describe key events in the history of the volume, and give information about the key contributors: editors, editorial board members, Advances in Econometrics Fellows, and authors who have contributed to the great success of the series.

This paper aims to use the passage of the Italian Gender Diversity Law to help isolate the effects of board gender diversity on firm value by investigating conditions under which such diversity provides greater role-enhancing resources to the board.

This paper used a one-day event study to measure when gender diversity matters to investors. Abnormal returns from Italian firms were used to study investors’ anticipated outcomes of the effect of gender diversity on firm value.

Board gender diversity is financially beneficial especially for firms with a male dual CEO and board chair and with few or no women on board committees and firms that operate in industries with greater levels of competition. Addition of these moderators more than doubles the variance explained. Moreover, the effect of gender is isolated in this study, which examined investor reaction to the expectation of increases in the number of female board members, rather than to specific female appointees.

Determining the conditions when a gender diverse matters to firm value is important for shareholders, policymakers and advocates for gender equality. The findings illustrate precise conditions for stakeholders to make the case for board gender diversity as achieving financial reward, in addition to societal benefit.

The value of a gender diverse board is contingent on the company’s need for diverse resources (e.g. more competition, lack of gender diversity on committees or CEO duality). This paper provides insight as to why prior research linking board gender diversity to firm value finds seemingly contradictory results. Thus, this paper provides useful insights for researchers, boards and legislative bodies.

This paper tests whether employers responded particularly negatively to African American job applicants during the deep U.S. recession that began in 2007. Theories of labor queuing and social closure posit that members of privileged groups will act to minimize labor market competition in times of economic turbulence, which could advantage Whites relative to African Americans. Although social closure should be weakest in the less desirable, low-wage job market, it may extend downward during recessions, pushing minority groups further down the labor queue and exacerbating racial inequalities in hiring. We consider two complementary data sources: (1) a field experiment with a randomized block design and (2) the nationally representative NLSY97 sample. Contrary to expectations, both analyses reveal a comparable recession-based decline in job prospects for White and African American male applicants, implying that hiring managers did not adapt new forms of social closure and demonstrating the durability of inequality even in times of structural change. Despite this proportionate drop, however, the recession left African Americans in an extremely disadvantaged position. Whites during the recession obtained favorable responses from employers at rates similar to African Americans prior to the recession. The combination of experimental methods and nationally representative longitudinal data yields strong evidence on how race and recession affect job prospects in the low-wage labor market.

This study aims to investigate the impact of supply chain concentration (SCC) on corporate research and development (R&D) investment and determine the moderating roles of industry concentration and financing constraints on the relationship between SCC and R&D investment.

The study collected data from Chinese listed companies, used the fixed effects model to test the research hypotheses and further used the two-stage Heckman test and propensity score matching (PSM) to address potential endogeneity issues.

The result reveals a negative impact of SCC on corporate R&D investment. In addition, industry concentration mitigates the negative impact of SCC on corporate R&D investment, but financing constraints strengthen the negative impact.

This study introduces the concept of SCC and empirically tests its effect on R&D investment, further explaining the lack of corporate innovation. This study inspires companies to strengthen SC management and weigh the level of SCC with environmental factors.