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Vintage capital growth models have been at the heart of growth theory in the 1960s. This research line collapsed in the late 1960s with the so-called embodiment controversy and the technical sophisitication of the vintage models. This chapter analyzes the astonishing revival of this literature in the 1990s. In particular, it outlines three methodological breakthroughs explaining this resurgence: a growth accounting revolution, taking advantage of the availability of new time series; an optimal control revolution, allowing to safely study vintage capital optimal growth models; and a vintage human capital revolution, along with the rise of economic demography, accounting for the vintage structure of human capital similarly to physical capital age structuring. The related literature is surveyed.

Vintage has been a growing trend in clothing recently, leading to major fashion brands launching collections inspired by vintage pieces or luxury haute‐couture houses digging into their archives to revive past designs. Yet, as this market develops, little is known about the profile of the consumer and the motivations to purchase vintage. This paper aims to explore the veracity of a number of assumptions relating to vintage consumption, equating it to the consumption of used, previously owned clothes by nostalgic prone, environmentally‐friendly or value‐conscious consumers.

A quantitative approach including structural equation modeling (SEM) was employed in this research using data collected from 103 women (screened on past second‐hand purchases). Vintage clothes were defined as pieces dating back from the 1920s to the 1980s. Second hand clothes were defined as modern used clothes.

The results show that the main antecedents to vintage consumption are fashion involvement and nostalgia proneness as well as need for uniqueness through the mediation of treasure hunting. In contrast, second‐hand consumption is directly driven by frugality. Eco‐consciousness plays an indirect role through bargain hunting. In essence, the thrill of the hunt is present for vintage and for second hand consumption. Yet, while vintage consumers shop for a unique piece with history, second‐hand consumers shop for a unique piece at a good price. Additionally, the main characteristics of vintage fashion consumers are a higher level of education and higher income whereas age is not directly related to the purchase of vintage pieces.

The paper discusses the relevance of second‐hand stores repositioning as vintage based on vintage and second‐hand consumers' profiles. Also, the need to educate consumers on the role of second‐hand consumption in a pro‐environmental lifestyle is highlighted.

The purpose of this paper is to show how members of a “vintage community of practice” (CoP) – the Multiple Arcade Machine Emulator (MAME) community – recombine old technological knowledge with new technological knowledge. A vintage CoP is a group of aficionados of old technology who keep using it even after superior new technologies have emerged and technological change has taken place. This paper presents mechanisms through which developers and gamers in the MAME community and its subcommunities or hubs select and recombine old and new technology to update old arcade videogames in a format that is playable on current personal computers (PCs).

An inductive single-case exploratory case study was conducted in the MAME community. Semi-structured interviews were conducted with core community members to uncover mechanisms through which old technology-related knowledge (T-RK) was combined with new T-RK to update old versions of arcade video games into software versions that can be played on current PCs. Informant discourses were analyzed using first- and second-order coding methods.

Our data revealed three mechanisms through which community leaders positively impact new and old T-RK recombinations that led to new knowledge creation within the MAME vintage CoP. We named these mechanisms leader mentorship, leader self-development propensity and clustering in the community. Our data also revealed a two-phase knowledge creation process in an open-source software community (OSSC) that supports the MAME community: knowledge selection and knowledge recombination.

The study is limited by the size of the investigated community, so further research should be conducted in multiple vintage CoPs so as to generalize our results.

Our results offer practitioners insights into the internal knowledge creation mechanisms that occur in vintage CoPs. Our findings seek to motivate managers to start collaborating with vintage CoPs to develop products for the niche vintage product markets.

This research is one of the first in the field of vintage communities of practice. It affords understanding of social mechanisms by which old technologies are combined with new ones to give rise to vintage products that suit the needs of niche vintage product markets.

Sets out to discover what makes a great vintage and whether the quality of a wine can be predicted. The ‘en primeur’ market from the 1960's to the early 1990's is reviewed and what the market regards as a quality wine is tested for correlation with longevity. Weather patterns associated with excellent vintages are examined with the conclusion that they occur at random. Vintages of up to ninety years are analysed to establish probability factors and from these factors a pricing method is proposed. Concludes that it should be possible to gain competitive advantage through the use of probability analysis, although this concept should be judged in the long term.

This purpose of this study is to develop actionable marketing insights regarding why consumers might elect to purchase vintage products. A concept called consumer pastness is introduced, developed and defined to achieve this end. Consumer pastness demonstrably affected consumers’ perceptions of vintage products’ scarcity and consumers’ propensity to purchase vintage items. When applied inside marketing contexts, consumer pastness may also explain how and why consumers distinguish vintage products that are “of the past” from new and second-hand products. The data suggest that when consumers perceive products are characterized by higher consumer pastness the products will be perceived as scarcer, more desirable and more valuable than new or second-hand versions of the same item.

A scale was developed to capture three dimensions that comprise consumer pastness and then a pilot study and two experiments were conducted to test the research propositions.

Study propositions were confirmed. Consumers perceive vintage products as scarcer and more desirable than other types of products.

A novel and useful concept is introduced to the marketing literature inside this study. To the best of the authors’ knowledge, this study is the first to investigate and develop theoretical insights regarding how and why consumers perceive vintage products differently from new and second-hand products. The investigations reported below are also the first to develop practical insights regarding how management might respond to these insights about the role consumer pastness plays.

The purpose of this paper is to examine the impact of pharmaceutical innovation on the longevity of Australians. The approach utilized involves estimation of difference-in-differences models using longitudinal, disease-level data during the period 1995–2003 to determine whether the diseases that had above-average increases in mean vintage (FDA approval year) of drugs had above-average reductions in mortality. Our findings are that the mean age at death increased more for diseases with larger increases in mean drug vintage. A 5-year increase in mean drug vintage is estimated to increase mean age at death by almost 11 months. The number of years of potential life lost before the ages of 65 and 70 (but not before age 75) was reduced by use of newer drugs. During the period 1995–2003, mean age at death increased by about 2.0 years, from 74.4 to 76.4. The estimates imply that, in the absence of any increase in drug vintage, mean age at death would have increased by only 0.7 years. The increase in drug vintage accounts for about 65% of the total increase in mean age at death. Estimated cost per life-year gained from using newer drugs is $10,585. An estimate by previous investigators of the value of a statistical Australian life-year ($70,618) is 6.7 times as large. We acknowledge potential limitations of this study by discussing several reasons why our estimate of the cost per life-year gained from using newer drugs could be too high or low. The value of this paper's evidence is primarily due to the government's Pharmaceutical Benefits Scheme: Australia has much better data on drug utilization than most other countries.

In 2010, Vintage Radio, a community radio station in Birkenhead set up and run entirely by older people for older people, received funding from communications charity Media Trust as part of the Community Voices scheme – a nationwide campaign that aims to support disadvantaged and isolated communities to get their stories told. The purpose of this paper is to record and document the creation and development of Vintage Radio and its outcomes to date. The paper seeks to outline the importance of inspiring, engaging, and supporting older communities to get their voices heard through digital media.

Data were gathered via interviews with listeners, members, and volunteers from Vintage Radio via phone and e‐mail to find out about their involvement with the station and what it means to them. Quotes were recorded and included in this paper. Information was also gathered from the Vintage Radio web site.

The findings demonstrate that Vintage Radio has made a significant difference to the local community in a number of ways. A greater number of older volunteers have learned new digital and technical skills and this has improved the quality of the station's programming. Participants have forged new friendships and enabled other older people to overcome the sense of invisibility they sometimes suffer from. The radio station has reached out to those in care homes giving isolated and lonely residents a sense of belonging.

Owing to geographical distance, face‐to‐face interviews are not possible.

This paper demonstrates how important it is to inspire, engage, and support older communities to get their voices heard through digital media and aims to encourage further similar activity in the UK.

Entering and exiting the Pandemic Recession, the author study the high-frequency real-activity signals provided by a leading nowcast, the ADS Index of Business Conditions produced and released in real time by the Federal Reserve Bank of Philadelphia. The author tracks the evolution of real-time vintage beliefs and compares them to a later-vintage chronology. Real-time ADS plunges and then swings as its underlying economic indicators swing, but the ADS paths quickly converge to indicate a return to brisk positive growth by mid-May. The author shows, moreover, that the daily real-activity path was highly correlated with the daily COVID-19 cases. Finally, the author provides a comparative assessment of the real-time ADS signals provided when exiting the Great Recession.

The empirical properties of benchmark revisions to key US macroeconomic aggregates are examined. News versus noise impact of revisions is interpreted via the cointegration property of successive benchmark revisions. Cointegration breaks down in the last two years before a benchmark revision. Hence, we conclude that there is some information content in benchmark revisions. This last point is illustrated by reporting that inflation forecasts could be improved by the addition of a time series that reflects benchmark revisions to real GDP. Standard backward- and forward-looking Phillips curves are used to explore the statistical significance of benchmark revisions.