Relevant bibliographies by topics / Durable goods, Consumer Econometric models

Academic literature on the topic 'Durable goods, Consumer Econometric models'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Durable goods, Consumer Econometric models"

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Somwaru, Agapi, Francis Tuan, and Sun Ling Wang. "Assessing China’s Long Term Export and Income Growth in the Global Markets." International Journal of Economics and Finance 10, no. 9 (August 25, 2018): 98. http://dx.doi.org/10.5539/ijef.v10n9p98.

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This paper delves into China’s differential growth in exports with high income and developing countries by focusing on bilateral content of China’s trade and particular exports over the time period 1979-2015. In the last 30 plus years, China has specialized in upstream capital goods and exhibited rapid diversification in consumer goods. Performing causality tests reveals a strong evidence of causality from the export growth of capital goods and consumer non-durable goods to gross domestic product (GDP) per capita. There is also evidence that the causality is bi-directional for consumer durable goods, intermediate goods, and primary non-energy goods with income. Econometric analysis shows a positive and statistical significant relationship between income and export growth of capital goods, consumer non-durable goods, intermediate goods, and primary non-energy goods. Trade openness allows stimulation of growth and efficiency as producers in China are exploiting areas in which they have a comparative advantage.
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Arruda, Elano Ferreira, Antônio Clécio de Brito, and Pablo Urano de Carvalho Castelar. "Exchange Rate and Trade Balances in Brazil: A Disaggregated Analysis by Major Economic Categories." International Journal of Economics and Finance 14, no. 6 (May 30, 2022): 62. http://dx.doi.org/10.5539/ijef.v14n6p62.

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This work investigates the repercussions of real devaluations in the exchange rate on the trade balance for Brazil, when considering major economic categories, i.e., capital goods, durable consumer goods, semi-durable and non-durable consumer goods, intermediate goods, and fuels and lubricants. To this end, monthly data are used for the period January 2000 and July 2019, and vector error correction (VEC) models. The results suggest that, in the long run, real devaluations in the exchange rate have positive and elastic impacts on the trade balance in all sectors, except for fuels and lubricants. Only the durable consumer goods and fuels and lubricants sectors do not show the occurrence of the J curve. Domestic income has a negative impact on the trade balance in most models analyzed, while foreign income has a positive impact on all sectors, except for fuels and lubricants.
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Vijay, Dr S. "A Study On Impact Of White Goods Towards consumers Preference." Journal of University of Shanghai for Science and Technology 23, no. 12 (December 18, 2021): 300–315. http://dx.doi.org/10.51201/jusst/21/121029.

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The market’s level of competition has risen as a result of the advent of the overseas white goods industry. With rising earnings, dual-income families, changing lifestyles, credit availability, greater consumer knowledge, and the introduction of new models by Indian and multinational companies, India’s consumer durable sector is riding the crest of the country’s economic boom. As the Durable market is growing rapidly, an understanding of the consumer behavior regarding the characteristic of consumers in influencing their buying behavior is crucial. Consumer requirements of Air-condition, Washing machine and Refrigerator are at present not limited to its basic function but also on other values like – efficiency, ease of use and comfort. The consumer durables industry is marked by the growth of multinational corporations (MNCs), exchange offers, discounts, and fierce competition. MNCs have a 65 percent market share in the consumer durables industry. The expanding Indian middle class is a major focus for multinational corporations. They compete on the basis of a firm grasp on the local market, well-known brands, and a large distribution network, whereas Indian companies compete on the basis of a firm grasp on the local market, well-known brands, and a large distribution network. Consumer durables penetration, on the other hand, is still low in India. At this juncture, this study has been undertaken for to find out the impact and reality of white goods market in India.
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Sengupta, Indrani, and Dhaval Maheta. "Stock Price Volatility of NSE Thematic Consumption Index: An Econometric Analysis." Management Insight - The Journal of Incisive Analysers 16, no. 02 (December 25, 2020): 17–22. http://dx.doi.org/10.21844/mijia.16.2.3.

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Had the Indian economy were a person, its income in 2020-21 and 2021-22 would be much less than what it was in 2019-20. This is what the recent World Bank predictions says. There is vast, perhaps unparalleled, economic pain ahead. The World Bank released its Global Economic Prospects report in the second week of June, expecting India’s gross domestic product (GDP) to contract by 3.2% in 2020-21. A moderate recovery growth is expected from 3.1% in 2021-22. India is not the only country which will face this quandary. As per the statistics, generally March and April each contributes to the sales turnover of 12% every year, but March 2020 has witnessed a downfall of 55% year on year amidst the corona- induced lockdown. Undoubtedly, the pandemic has a tremendous impact on these, but the industry certainly needs to cope us with the current situation and some key transitions should be made in their approach to sales, logistics, marketing to customer service. So, as an investor we need to know how the consumption market was just before the Covid-19 hit the Indian premise. The consumption industry is further segregates into durable, non-durable goods and services industry. This paper compares the price volatility of the stock prices of three firms who are into consumer goods with its related NSE Nifty consumption index. Data has been taken from NSE website and the time period of the study is 2015-2019. The data has further been treated with time series analysis using multiple regression which tries to test whether there is any connect between the trends of the stock prices of firms vis-à-vis the Nifty index of the sector. The study also attempts to identify patterns between the regressor and the regressands.
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Urban, Glen L., John S. Hulland, and Bruce D. Weinberg. "Premarket Forecasting for New Consumer Durable Goods: Modeling Categorization, Elimination, and Consideration Phenomena." Journal of Marketing 57, no. 2 (April 1993): 47–63. http://dx.doi.org/10.1177/002224299305700204.

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The authors extend previous models for premarket forecasting of new durable consumer goods by including parameters that reflect consumers’ categorization and consideration processes. They propose a model and measurement methodology, which they apply to the premarket forecasting of a new automobile. They describe empirical data collection, parameter estimation, managerial implications, validation issues, and future research needs. The extended model generates new managerial insights into positioning and marketing planning effectiveness, can be used to simulate the effects of changes in positioning strategy on consideration and choice, and provides more detailed information about why consumers consider or reject a new brand. The relevance of the categorization extension for other new product models that condition choice on a consideration set is also explored.
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Avila-Foucat, Veronique Sophie, Karla J. Rodriguez-Robayo, Kelly W. Jones, Erin C. Pischke, David Torrez, Jacob Salcone, Theresa Selfa, and Kathleen E. Halvorsen. "Household’s Allocation of Payment for Ecosystem Services in “La Antigua” Watershed, Veracruz, México." Journal of Environment & Development 30, no. 2 (April 5, 2021): 191–213. http://dx.doi.org/10.1177/10704965211003148.

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Payment for ecosystem services (PES) is an environmental policy looking to improve ecosystem conservation and well-being. Assets have been used to evaluate socioeconomic outcomes of the program; however, the allocation of PES at a household level and its explaining variables have not been addressed. Thus, the aim of this article is to study the allocation of PES in nondurable and durable goods and the determinants of this household decision. Results from the La Antigua watershed located in Mexico indicate that the PES program is primarily used in durable goods, mainly on health, house infrastructure, agricultural inputs, and reforestation. Econometric models show that this allocation to one or several assets depends on the average age of the household head, on participation in a community organization, and on the average income. In contrast, government transfers are not significant. Based on this, policy recommendations are made related to the program’s socioeconomic outcomes and alignment with other conditional cash transfer.
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Muranko, Żaneta, Catriona Tassell, Anouk Zeeuw van der Laan, and Marco Aurisicchio. "Characterisation and Environmental Value Proposition of Reuse Models for Fast-Moving Consumer Goods: Reusable Packaging and Products." Sustainability 13, no. 5 (March 1, 2021): 2609. http://dx.doi.org/10.3390/su13052609.

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Problem: Fast-Moving Consumer Goods (FMCGs) are products that are purchased and consumed frequently to satisfy continuous consumer demand. In a linear economy, FMCGs are typically offered as single-use and disposable products. Limitations in product design, insufficient collection systems, and inefficient recovery processes prevent high recycling rates. As a result, FMCGs often end up in landfill or the environment, contributing to waste accumulation, and pollution. Whilst recycling is the most common waste prevention strategy practiced by the industry, the process is limited to addressing only the final stage of the product life cycle, omitting the overproduction and consumption of materials typical of FMCGs. Instead, reuse is a strategy that is capable of extending the value of resources by slowing material flows. Novel reuse models that require the consumer to interact with durable primary packaging and products are emerging in the FMCG industry. However, the constituent elements and operation principles of such reuse models are not fully understood. The aim of this research is to develop a comprehensive characterisation of reuse models and to evaluate their potential to deliver environmental value. Method: Ninety-two reuse offerings were selected and analysed to identify their reuse system elements. The analysis led to the identification of a framework including five reuse models, which were also evaluated to establish their capability to deliver environmental value when compared to conventional single-use and disposable FMCGs. Results: Currently in the FMCG sector, reusable products are mostly durable packaging, such as bottles and containers for beverages, foods, personal and home care goods, and are infrequently durable products, such as personal and baby care goods, including razors and nappies. Three reuse models involve exclusive reuse, a behaviour by which a reusable product is used and kept by a single user throughout the product lifetime. In exclusive reuse models, users are provided with either a reusable product (model 1), a reusable product with preparation for reuse infrastructure (model 2), or access to preparation for reuse infrastructure (model 3). Two reuse models involve sequential reuse, a behaviour by which a reusable product is used by multiple users throughout the product lifetime and returned after each use to a provider. In sequential reuse models, users are provided with either a reusable product with preparation for reuse infrastructure and provider-operated recovery services (model 4), or a reusable product and provider-operated services for recovery and preparation for reuse (model 5). Whilst the five reuse models can operate standalone, some offerings were found to embed a multi-model approach. Both exclusive and sequential reuse models are capable of delivering environmental value by reducing the use of natural resources and retaining their value in the economy. In particular, sequential reuse models were found to have a greater capability to increase the share of recyclable resources by offering access to infrastructure for the closure of material loops. Conclusions: Consumers can currently access five reuse models and choose between exclusive and sequential reuse behaviours. When adopted in conjunction with recycling, reuse models can enable a more efficient consumption of FMCGs. Providing the infrastructure necessary to enable reuse and recycling is key to the successful and sustainable deployment of the reuse models.
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Abhishek, Vibhanshu, Jose A. Guajardo, and Zhe Zhang. "Business Models in the Sharing Economy: Manufacturing Durable Goods in the Presence of Peer-to-Peer Rental Markets." Information Systems Research 32, no. 4 (December 2021): 1450–69. http://dx.doi.org/10.1287/isre.2021.1034.

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With peer-to-peer sharing of durable goods like cars, boats, and condominiums, it is unclear how manufacturers should react. They could seek to encourage these markets or compete against them by offering their own rentals. This work shows why the best business model depends on whether consumer usage rates vary or not. Contrary to what might be expected, this paper shows that manufacturers have an incentive to facilitate transactions of P2P rental markets in a large variety of cases. We find that when consumer variation in usage rates is intermediate, the manufacturer is surprisingly best off avoiding offering its own direct rentals option and instead, facilitating a peer-to-peer rental market where consumers can share among themselves. The reason for this is an effect unique to the sharing economy, the equalizing effect. The equalizing effect shows that peer-to-peer rentals uniquely make previously heterogeneous willingness-to-pay among consumers more similar, making it easier for the firm to discriminate between the higher- and lower-value consumers, thus allowing it to extract a higher portion of consumers’ surplus. Surprisingly, there are some cases where peer-to-peer rentals benefit the manufacturer, but consumers are hurt overall (though the lower-usage consumers do always benefit from the availability of peer-to-peer rentals).
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Abhishek, Vibhanshu, Jose A. Guajardo, and Zhe Zhang. "Business Models in the Sharing Economy: Manufacturing Durable Goods in the Presence of Peer-to-Peer Rental Markets." Information Systems Research 32, no. 4 (December 2021): 1450–69. http://dx.doi.org/10.1287/isre.2021.1034.

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With peer-to-peer sharing of durable goods like cars, boats, and condominiums, it is unclear how manufacturers should react. They could seek to encourage these markets or compete against them by offering their own rentals. This work shows why the best business model depends on whether consumer usage rates vary or not. Contrary to what might be expected, this paper shows that manufacturers have an incentive to facilitate transactions of P2P rental markets in a large variety of cases. We find that when consumer variation in usage rates is intermediate, the manufacturer is surprisingly best off avoiding offering its own direct rentals option and instead, facilitating a peer-to-peer rental market where consumers can share among themselves. The reason for this is an effect unique to the sharing economy, the equalizing effect. The equalizing effect shows that peer-to-peer rentals uniquely make previously heterogeneous willingness-to-pay among consumers more similar, making it easier for the firm to discriminate between the higher- and lower-value consumers, thus allowing it to extract a higher portion of consumers’ surplus. Surprisingly, there are some cases where peer-to-peer rentals benefit the manufacturer, but consumers are hurt overall (though the lower-usage consumers do always benefit from the availability of peer-to-peer rentals).
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10

Romanyuk, Kirill. "Impact of the COVID-19 Pandemic on the US Credit Default Swap Market." Complexity 2021 (November 30, 2021): 1–5. http://dx.doi.org/10.1155/2021/1656448.

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The COVID-19 pandemic affected the US economy at different levels. Since credit default swaps can be viewed as a default probability indicator, the article shows the credit default swap market perspective on how the US economy was hit by the pandemic. Forecasting models are built to estimate the predictability of the CDS market sectors during the pandemic, i.e., manufacturing, energy, banks, consumer goods, and services and financial sector excluding banks. Econometric tests are applied to check the uniqueness of credit default swap market sectors after the declaration of the pandemic. The results indicate that the financial sector excluding banks performed uniquely during the pandemic; i.e., the predictability of this sector dropped significantly, and the Chow breakpoint test and Wald coefficient test can identify the shift in the data after declaration of the pandemic.
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Dissertations / Theses on the topic "Durable goods, Consumer Econometric models"

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Shu, Hui. "Disequilibrium Transition of the Consumer Goods Market in China, 1954-1991." PDXScholar, 1995. https://pdxscholar.library.pdx.edu/open_access_etds/1161.

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This is an in-depth study of the structural change and transition of the Chinese consumer goods market from 1954 to 1991 using disequilibrium econometric methodology. The model for the Chinese consumer goods market is based on the Portes-Winter disequilibrium model for centrally planned economies (1980). The demand function is derived from the Houthakker-Taylor savings function. The supply function is composed of approximations to the government's long-term and short-term plans. The transaction quantity in the market is defined as the smaller of effective demand and supply. Using the traditional global fitting method, three models are evaluated: one model that assumes no structural change, and two models that assume structural change. The estimations show that the structures of the demand and supply functions of the Chinese consumer goods market have changed since the economic reform in 1980. An innovative non-parametric method of locally weighted optimization is applied to further test the variations in model parameters during the period between 1954 and 1991 without assuming explicit functional forms of demand and supply. The estimation results show that the Chinese consumer goods market fits the Portes-Winter model well in the earlier years. The results confirm that the structures of demand and supply functions have changed since the economic reform. In the late 1980's, the Chinese consumer goods market is shown to have shifted away from a pure centrally planned system. Other main conclusions of this study include, first, that chronic shortage does not exist in the Chinese consumer goods market from 1954 to 1991. Second, a rigid price level has not caused the market to be persistently in disequilibrium. Third, the classical disequilibrium model of consumer goods market in centrally planned economies does not fit the Chinese consumer goods market in the later years.
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Abdul-Hadi, Ahmad Ibrahim Malawi. "The impact of monetary policy on consumer durable goods : empirical study by using vector autoregression (VAR) models /." free to MU campus, to others for purchase, 1999. http://wwwlib.umi.com/cr/mo/fullcit?p9953841.

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Books on the topic "Durable goods, Consumer Econometric models"

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Barsky, Robert. Do flexible durable goods prices undermine sticky price models? Cambridge, Mass: National Bureau of Economic Research, 2003.

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Porter, Robert H. Patterns of trade in the market for used durables: Theory and evidence. Cambridge, MA: National Bureau of Economic Research, 1999.

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Caplin, Andrew. Durable goods cycles. Cambridge, MA: National Bureau of Economic Research, 1999.

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Caballero, Ricardo J. Durable goods: An explanation for their slow adjustment. Cambridge, MA: National Bureau of Economic Research, 1991.

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Krishna, Kala. Lumpy consumer durables, market power, and endogenous business cycles. Cambridge, MA: National Bureau of Economic Research, 2001.

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Ferson, Wayne E. Habit persistence and durability in aggregate consumption: Empirical tests. Cambridge, MA: National Bureau of Economic Research, 1991.

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Arrondel, Luc. Cycle de vie et composition du patrimoine: Un regard théorique. Paris: Economica, 1993.

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Hackworth, John. How many cars in the twenty first century? Bedford [England]: Cranfield Press, 1988.

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Hackworth, John. How many cars in the twenty-first century? (Bedford): Cranfield, 1988.

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Leahy, John Vincent. The timing of purchases and aggregate fluctuations. Cambridge, MA: National Bureau of Economic Research, 2000.

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Book chapters on the topic "Durable goods, Consumer Econometric models"

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Tanaka, Migiwa. "Deflation in Durable Goods Markets: An Empirical Model of the Tokyo Condominium Market." In Structural Econometric Models, 337–86. Emerald Group Publishing Limited, 2013. http://dx.doi.org/10.1108/s0731-9053(2013)0000032011.

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Işığıçok, Erkan, Ramazan Öz, and Savaş Tarkun. "Forecasting and Technical Comparison of Inflation in Turkey With Box-Jenkins (ARIMA) Models and the Artificial Neural Network." In Research Anthology on Artificial Neural Network Applications, 1194–216. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-2408-7.ch057.

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Inflation refers to an ongoing and overall comprehensive increase in the overall level of goods and services price in the economy. Today, inflation, which is attempted to be kept under control by central banks or, in the same way, whose price stability is attempted, consists of continuous price changes that occur in all the goods and services used by the consumers. Undoubtedly, in terms of economy, in addition to the realized inflation, inflation expectations are also gaining importance. This situation requires forecasting the future rates of inflation. Therefore, reliable forecasting of the future rates of inflation in a country will determine the policies to be applied by the decision-makers in the economy. The aim of this study is to predict inflation in the next period based on the consumer price index (CPI) data with two alternative techniques and to examine the predictive performance of these two techniques comparatively. Thus, the first of the two main objectives of the study are to forecast the future rates of inflation with two alternative techniques, while the second is to compare the two techniques with respect to statistical and econometric criteria and determine which technique performs better in comparison. In this context, the 9-month inflation in April-December 2019 was forecast by Box-Jenkins (ARIMA) models and Artificial Neural Networks (ANN), using the CPI data which consist of 207 data from January 2002 to March 2019 and the predictive performance of both techniques was examined comparatively. It was observed that the results obtained from both techniques were close to each other.
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