Relevant bibliographies by topics / Consumer Econometric models

Academic literature on the topic 'Consumer Econometric models'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Consumer Econometric models"

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Zamulko, A., and O. Ishchenko. "PECULIARITIES OF USING TARIFFS FOR INTERRUPTION IN THE CONDITIONS OF THE ELECTRICITY MARKET OF UKRAINE." POWER ENGINEERING: economics, technique, ecology, no. 1 (October 11, 2021): 98–107. http://dx.doi.org/10.20535/1813-5420.1.2021.242187.

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The use of schedules to disconnect consumers from electricity to reduce the load on the UES of Ukraine is an outdated model and may not meet the standards and requirements of the new model of the electricity market in Ukraine. The study of consumer desires and needs is a very promising area in improving the efficiency of the balancing mechanism in the electricity market and is an important factor in calculating interruption tariffs. In this paper, to minimize costs due to power outages, the consumer considers the creation of a hybrid econometric approach that combines the advantages and minimizes the disadvantages of two models: the popular consumer survey model and the econometric model. An econometric model that uses the added value created by a group of consumers for the year is a practical way to estimate the cost of planned outages. The method of consumer surveys is the most popular tool for assessing reliability in the electricity market. The paper proposes to use publicly available consumer data collected through a simple survey of consumers about their actions in case of undesirable power outages, taking into account the specifics of their work. It is worth noting that this study focuses on the interruption scenario that will lead to the highest shutdown costs, it covers only winter outages in the afternoon and eliminates the effect of the difference between time of day and season.
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Karmeliuk, Hanna, Svitlana Plaskon, and Halyna Seniv. "Econometric estimation of the pension in Ukraine." Herald of Ternopil National Economic University, no. 2(84) (May 31, 2017): 48–59. http://dx.doi.org/10.35774//visnyk2017.02.048.

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The research paper analyzes the dynamics of minimum and average pensions, minimum wage, living wage, consumer price index, and gross external debt of Ukraine. The causal connections between the minimum pension and the researched parameters are presented in UAH and dollar terms. The necessity of econometric modeling for studying socio-economic indicators of living standards is highlighted. The main trends of the impact of the minimum wage, the living wage, the consumer price index, the gross external debt on the minimum pension are overviewed. The predicted values of the minimum pension in Ukraine in UAH in 2017-2021 are calculated, and the confidence intervals of them with a high degree of confidence are given. The ratio of the minimum pension to the minimum wage in UAH and dollar terms is calculated. The econometric models of the dependencies of minimum pension on the minimum wage are presented in UAH and dollar terms. According to econometric models a rise of the minimum wage is accompanied by a rise of the minimum pension. The econometric models of the dependencies of the minimum pension on the subsistence minimum in UAH and dollar terms are presented. According to the models, a rise of the subsistence minimum is accompanied by an increase in the minimum pension. Also, the econometric models of the dependencies of the minimum pension on the consumer price index in UAH and dollar terms are developed. The econometric models prove that a rise of the inflation rate leads to a rise of the minimum pension. Since 2014 the growth of consumer price index has been accompanied by a rapid decline of the minimum pension in dollar terms. The econometric model which shows the dependence of the consumer price index on the minimum pension is developed in UAH and dollar terms. From the model it follows that an increase of the minimum pension results in higher inflation. The econometric models of the dependencies of the minimum pension on the gross external debt are presented in UAH and dollar terms. It is shown that by 2014, foreign loans in UAH and dollar terms were welcome in order to raise pensions which led to the rapid rise of the latter. In recent years the growth of debt in the UAH slightly affected the growth of the minimum pension in UAH, whereas the growth of debt in dollars led to a significant decline in the minimum pension in dollar terms.
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Słaba – Wiącek, Marcelina. "Checking econometric models in times of market and consumer change." VUZF Review 7, no. 2 (June 28, 2022): 127–34. http://dx.doi.org/10.38188/2534-9228.22.2.13.

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The aim of the article is to present the checking of econometric models in times of market and consumer changes. The development of the SFP balance, the budget deficit against real GDP in the years 2010-2019 and the debt forecast for the years 2021-2024 are presented here. It can be noted that different factors in different countries shape the budget balance. In 2009, the Baltic States were in the most difficult situation. The budget deficit and real GDP in Poland mean that a large part of the deficits in the economic situation is subordinated here. This shows that it is not cyclical factors that are behind it, but factors related to fiscal policy. The biggest problem was the problem in which the global financial crisis began and our deficits began to increase rapidly. The source of coverage had to be found. An additional problem was the pension reform related to OFE when we did not see it in the deficit, but we still had to incur a debt for funds transferred to OFE about PLN 20 billion per year. There was an idea to take some of these funds out of the sector. The pandemic has cast a shadow over our finances. The strategy prepared before the pandemic assumed that public debt would increase in nominal terms, but there would also be a significant decrease in relative terms to GDP. The flexibility that took place in 2015 caused that there was an expenditure expansion in Poland, and this consequently led to the appearance of the "gluttony effect". In Poland, there was a high increase in GDP, but Poles spent more, which made Poles "overeat" this increase. In addition, we are glad that we have a high GDP, and in fact it is falsified by inflation.
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Kozinova, A. T. "An econometric analysis of retail turnover in Russia." Economic Analysis: Theory and Practice 19, no. 6 (June 29, 2020): 1133–53. http://dx.doi.org/10.24891/ea.19.6.1133.

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Subject. The article deals with econometric analysis of retail turnover in Russia and its relationship with macroeconomic indicators, like real disposable household income, consumer prices, etc. Objectives. The purpose is to create effective models to analyze the retail turnover in Russia and its relationship with other macroeconomic indicators, taking into account the existence of periods of economic instability. Methods. I apply correlation and regression methods to analyze statistics. To quantify changes in the retail turnover of Russia during the periods of economic instability, I use dummy variables. Results. The Russia’s retail trade turnover index had a reverse and moderate relationship with the consumer price index, direct and strong relationship with the indices of real disposable household income and imports, direct relationship with the manufacturing index. I offer statistically significant regression models of Russia’s retail turnover with the said macroeconomic indicators. Conclusions. The main advantage of models of retail turnover that are built using a large number of observations is a greater number of simultaneously considered factors. The quantitative assessment of retail turnover elasticity by consumer prices confirms the need for inflation targeting by the Central Bank of the Russian Federation. The higher elasticity of retail turnover in manufacturing as compared with the imports denotes the importance of import substitution policy.
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Lazarov, Nikolai. "EVALUATION OF THE FACTORS INFLUENCING HOUSEHOLD LENDING IN BULGARIA." Economic Thought journal 67, no. 2 (June 23, 2022): 221–38. http://dx.doi.org/10.56497/etj2267205.

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Consumer and housing lending are an expression of one of the significant functions of Bulgaria's banking system. The development of housing and consumer lending has a magnitude in several societal systems, making any changes related to household lending of significant interest to society, government authorities and regulators. The object of the study is bank housing and consumer lending. The aim is to identify and assess the factors influencing household lending. In this regard, a critical analysis of the econometric models used to estimate and identify the factors in the area of household lending is carried out. The time horizon of the historical data of the econometric analysis is the period 2004-2020, covering an entire economic cycle.
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Athey, Susan, and Guido W. Imbens. "Machine Learning Methods That Economists Should Know About." Annual Review of Economics 11, no. 1 (August 2, 2019): 685–725. http://dx.doi.org/10.1146/annurev-economics-080217-053433.

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We discuss the relevance of the recent machine learning (ML) literature for economics and econometrics. First we discuss the differences in goals, methods, and settings between the ML literature and the traditional econometrics and statistics literatures. Then we discuss some specific methods from the ML literature that we view as important for empirical researchers in economics. These include supervised learning methods for regression and classification, unsupervised learning methods, and matrix completion methods. Finally, we highlight newly developed methods at the intersection of ML and econometrics that typically perform better than either off-the-shelf ML or more traditional econometric methods when applied to particular classes of problems, including causal inference for average treatment effects, optimal policy estimation, and estimation of the counterfactual effect of price changes in consumer choice models.
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Fan, Chaozhi, Siong Hook Law, Saifuzzaman Ibrahim, and N. A. M. Naseem. "Research on the Correlation between Information and Communication Technology Development and Consumer Spending Based on Artificial Intelligence and Time Series Econometric Model." Journal of Electrical and Computer Engineering 2022 (June 13, 2022): 1–11. http://dx.doi.org/10.1155/2022/1645232.

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In order to explore the correlation between ICT development and consumer spending, this paper uses artificial intelligence and time series econometric models to study the correlation between ICT development and consumer spending. Moreover, this paper organically combines the advantages of wavelet analysis and hidden Markov model to construct a wavelet domain hidden Markov chain model. It is used to examine the flow of information on different scales related to the development of communication technology and consumer spending, so as to infer the potential mechanism of the interaction of different traders’ behaviors from the other side. Through cluster analysis, it can be seen that the correlation analysis method of information and communication technology development and consumption expenditure based on artificial intelligence and time series econometric model proposed in this paper has certain reliability. At the same time, there is a strong correlation between the development of communication technology and consumer spending.
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Yang, Jing, Rathindra Sarathy, and Stephen M. Walsh. "Do review valence and review volume impact consumers’ purchase decisions as assumed?" Nankai Business Review International 7, no. 2 (June 6, 2016): 231–57. http://dx.doi.org/10.1108/nbri-11-2015-0028.

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Purpose To explore the psychological mechanism through which consumer reviews affect people’s purchasing decisions and behavior, this study aims to examine the impact of statistical evidence embedded in product reviews on consumers’ perceptions and purchasing intentions. Design/methodology/approach The effects review valence and review volume are tested using a 3 (valence: positive vs neutral vs negative) × 2 (volume: high vs low) quasi-experimental design and online questionnaires. Findings The study finds that review valence has a stronger impact on consumers’ perceptions than review volume does. Negative reviews induce higher risk perception and a less favorable attitude toward purchases compared to positive reviews. In addition, although both attitude toward purchase and subjective norm are good antecedents of purchase intention, the attitude statistically has a stronger impact than the subjective norm. Research limitations/implications This study contributes to extant literature from three perspectives. The authors have reexamined the findings of econometric models and advanced their implications by explaining the related psychological changes in people’s perceptions. Second, the authors have extended the application of the theory of reasoned action and found it to be a good fit in explaining consumers’ behavior related to consumer reviews. And finally, the authors have provided a clear guideline on the magnitude of the effects of review valence and volume on consumers’ perceptions. Originality/value This study provides a good complement to econometric studies from both theoretical and practical perspectives. It bridges the gap between exploratory studies and behavioral studies in the field of consumer reviews.
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Lewbel, Arthur. "Demand Systems With and Without Errors." American Economic Review 91, no. 3 (June 1, 2001): 611–18. http://dx.doi.org/10.1257/aer.91.3.611.

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Revealed preference theory assumes that each consumer has demands that are rational, meaning that they arise from the maximization of his or her own utility function. In contrast, econometric or statistical demand models assume that each consumer's demands equal a rational systematic component derived from a common utility function, plus an individual-specific, additive error term. This paper reconciles these differences, by providing necessary and sufficient conditions for rationality of statistical demand models given individual consumer rationality. (JEL D11, D12, C30, C43)
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Nevezhin, Victor P. "STUDY OF MODELS WITH FACTORS INVOLVED IN THE FORMATION OF INVESTMENT ATTRACTIVENESS OF REGIONS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 4/1, no. 124 (2022): 139–46. http://dx.doi.org/10.36871/ek.up.p.r.2022.04.01.015.

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The article presents the result of a study of a number of economic factors that influence the formation of investment attractiveness of Russian regions. Approaches to the formation of these factors and their content are given. A number of econometric models describing the volume of investments in fixed assets in the Central, North-Western and Southern Federal Districts are considered. The factors that can significantly affect the investment attractiveness of the region are highlighted, some of them are investigated. Hypotheses are put forward about the importance of economic, social and consumer quantitative factors. The study of econometric models: linear, polynomial, power, hyperbolic and exponential. The results allow us to use them to form a forecast of the investment attractiveness of the region.
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Dissertations / Theses on the topic "Consumer Econometric models"

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Zajicek, Edward K. "Valuation of quality determinants in consumer demand for automobile : a hedonic price approach /." Diss., This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-08232007-112211/.

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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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Andriamanjay, Eric. "An econometric analysis of the consumer demand for dairy products in Canada 1968-1982 /." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61840.

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Vashi, Vidyut H. "The effect of price, advertising, and income on consumer demand : an almost ideal demand system investigation /." Diss., This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-06062008-165751/.

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Staudigel, Matthias [Verfasser]. "Obesity, food demand, and models of rational consumer behaviour : econometric analyses and challenges to theory / Matthias Staudigel." Gießen : Universitätsbibliothek, 2014. http://d-nb.info/1068591528/34.

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Zaidan, Thamer Mahmood. "The relation between input-output and econometric models for Iraq : a macro-economic model of the Iraqi economy is constructed and integrated with input-output relationships to determine the effect of macropolicies on sectoral output." Thesis, University of Bradford, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292705.

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Chambers, Marcus James. "Durability and consumers' demand : Gaussian estimation and some continuous time models." Thesis, University of Essex, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238563.

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Pereda, Paula Carvalho. "Estimação das equações de demanda por nutrientes usando o modelo Quadratic Almost Ideal Demand System (QUAIDS)." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/12/12138/tde-04092008-105503/.

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O objetivo deste trabalho foi analisar a dieta alimentar dos brasileiros. Para tal, estimouse o sistema de equações de demanda do consumidor por nutrientes e as elasticidades, que trazem informações sobre a sensibilidade do consumidor frente a variações nos preços e na renda. A base de dados utilizada foi a Pesquisa de Orçamentos Familiares (POF) de 2002/3, realizada pelo Instituto Brasileiro de Geografia e Estatística (IBGE). Utilizou-se o modelo QUAIDS para estimar as equações de demanda e as elasticidades preço e renda/dispêndio foram calculadas. A hipótese de não-linearidade do dispêndio total não foi rejeitada, ratificando a utilização do Modelo QUAIDS. Para os nutrientes lipídios, colesterol, proteína, vitaminas A e B e fibras alimentares, as elasticidades da demanda se reduziram com a evolução da renda, o que indica o consumo mais elevado destes nutrientes em domicílios mais ricos. Os carboidratos não apresentaram grande oscilação no consumo conforme a variação da renda. Sobre os efeitos dos preços no consumo de nutrientes, os que se mostraram mais sensíveis a mudanças de preços foram: carboidratos; cálcio; ferro; colesterol; e vitamina C, nutrientes estes que compõem os alimentos básicos brasileiros.
This work was carried out in order to analyze the Brazilian food diet by estimating the consumer demand system of equations for nutrients and their elasticities, which bring information about the consumer sensibility face to price and income changes. The database used was from Household Expenditure Survey (POF, 2002/03) produced by IBGE (Brazilian Bureau of Statistics). The QUAIDS model was used to estimate the equations for eleven nutrients. The hypothesis of the total income\'s non-linearity was not rejected, reaffirming the use of the QUAIDS\' Model. For lipids, cholesterol, protein, vitamins A and B and fibers, the income elasticities showed a decrease as income raises, this behavior indicates the higher consumption of these nutrients in richer households. The carbohydrates did not present much variation as income changes. When it comes to the price effect on the nutrients consumption, the results suggest that the most sensible nutrients were: carbohydrates; calcium; iron; cholesterol; and vitamin C. These nutrients represent most of the basic diet food in Brazil
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Hall, Edward John. "The influence of occasion on consumer choice: an occasion based, value oriented investigation of wine purchase, using means-end chain analysis." Title page, contents and abstract only, 2003. http://web4.library.adelaide.edu.au/theses/09PH/09phh1756.pdf.

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Includes list of Supplementary refereed publications relating to thesis; and of Refereed conference papers, as appendix 1 Includes bibliograhical references (p. 316-343) Focusses particularly on the purchase of wine and the factors that influence consumer choice and the values that drive the decision process across different consumption occasions. The effectiveness of occasion as part of the theoretical model of means-end chain analysis is investigated, as well as the feasibility of occasion in the Olsen and Thach (2001) conceptual framework of consumer behavior relating to wine.
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Dias, Victor Pina. "Ensaios em econometria aplicada." reponame:Repositório Institucional do FGV, 2013. http://hdl.handle.net/10438/11746.

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Housing is an important component of wealth for a typical household in many countries. The objective of this paper is to investigate the e§ect of real-estate price variation on welfare, trying to close a gap between the welfare literature in Brazil and in other developed countries as U.S. and U.K. Our Örst motivation relates to the fact that real estate is probably more important here than elsewhere as a proportion of wealth, which potentially makes the impact of a price change bigger here. Our second motivation is the boom of the real-estate prices in Brazil in the last Öve years. Prime real estate in Rio de Janeiro and S„o Paulo have tripled in value in that period, and a smaller but generalized increase has been observed throughout the country. Third, we have also seen a recent consumption boom in Brazil in the last Öve years. Indeed, the recent rise of some of the poor to middle-income status is well documented not only for Brazil but for other emerging countries as well. Regarding consumption and real-estate prices in Brazil, one cannot imply causality from correlation, but one can do causal inference with an appropriate structural model and proper inference, or with a proper inference in a reduced-form setup. Our last motivation is related to the complete absence of studies of this kind in Brazil, which makes ours a pioneering study. We assemble a panel-data set for the determinants of non-durable consumption growth by Brazilian states, merging the techniques and ideas in Campbell and Cocco (2007) and in Case, Quigley and Shiller (2005). With appropriate controls, and panel-data methods, we investigate whether house-price variation has a positive e§ect on non-durable consumption. The results show a non-negligible signiÖcant impact of the change in the price of real estate on welfare (consumption), although smaller then what Campbell and Cocco have found. Our Öndings support the view that the channel through which house prices a§ect consumption is a Önancial one.
Este tese é composta por quatro ensaios sobre aplicações econométricas em tópicos econômicos relevantes. Os estudos versam sobre consumo de bens não-duráveis e preços de imóveis, capital humano e crescimento econômico, demanda residencial de energia elétrica e, por fim, periodicidade de variáveis fiscais de Estados e Municípios brasileiros. No primeiro artigo, 'Non-Durable Consumption and Real-Estate Prices in Brazil: Panel-Data Analysis at the State Level', é investigada a relação entre variação do preço de imóveis e variação no consumo de bens não-duráveis. Os dados coletados permitem a formação de um painel com sete estados brasileiros observados entre 2008- 2012. Os resultados são obtidos a partir da estimação de uma forma reduzida obtida em Campbell e Cocco (2007) que aproxima um modelo estrutural. As estimativas para o caso brasileiro são inferiores as de Campbell e Cocco (2007), que, por sua vez, utilizaram microdados britânicos. O segundo artigo, 'Uma medida alternativa de capital humano para o estudo empírico do crescimento', propõe uma forma de mensuração do estoque de capital humano que reflita diretamente preços de mercado, através do valor presente do fluxo de renda real futura. Os impactos dessa medida alternativa são avaliados a partir da estimação da função de produção tradicional dos modelos de crescimento neoclássico. Os dados compõem um painel de 25 países observados entre 1970 e 2010. Um exercício de robustez é realizado para avaliar a estabilidade dos coeficientes estimados diante de variações em variáveis exógenas do modelo. Por sua vez, o terceiro artigo 'Household Electricity Demand in Brazil: a microdata approach', parte de dados da Pesquisa de Orçamento Familiar (POF) para mensurar a elasticidade preço da demanda residencial brasileira por energia elétrica. O uso de microdados permite adotar abordagens que levem em consideração a seleção amostral. Seu efeito sobre a demanda de eletricidade é relevante, uma vez que esta demanda é derivada da demanda por estoque de bens duráveis. Nesse contexto, a escolha prévia do estoque de bens duráveis (e consequentemente, a escolha pela intensidade de energia desse estoque) condiciona a demanda por eletricidade dos domicílios. Finalmente, o quarto trabalho, 'Interpolação de Variáveis Fiscais Brasileiras usando Representação de Espaço de Estados' procurou sanar o problema de baixa periodicidade da divulgação de séries fiscais de Estados e Municípios brasileiros. Através de técnica de interpolação baseada no Filtro de Kalman, as séries mensais não observadas são projetadas a partir de séries bimestrais parcialmente observadas e covariáveis mensais selecionadas.
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Books on the topic "Consumer Econometric models"

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Musto, David K. A portfolio view of consumer credit. Cambridge, MA: National Bureau of Economic Research, 2005.

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Musto, David K. A portfolio view of consumer credit. Cambridge, Mass: National Bureau of Economic Research, 2005.

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Ameriks, John. The absent-minded consumer. Cambridge, MA: National Bureau of Economic Research, 2004.

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Ameriks, John. The absent-minded consumer. Cambridge, Mass: National Bureau of Economic Research, 2004.

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Antizipationsvariablen in der makroökonomischen Konsumfunktion: Eine vergleichende Untersuchung für die Bundesrepublik Deutschland. Göttingen: Unitext, 1986.

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Magri, Silvia. Italian households' debt: Determinants of demand and supply. Roma: Banca d'Italia, 2002.

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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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Gabaix, Xavier. Shrouded attributes, consumer myopia, and information suppression in competitive markets. Cambridge, MA: National Bureau of Economic Research, 2005.

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Gabaix, Xavier. Shrouded attributes, consumer myopia, and information suppression in competitive markets. Cambridge, Mass: National Bureau of Economic Research, 2005.

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Dubin, Jeffrey A. Studies in consumer demand: Econometric methods applied to market data. Boston: Kluwer Academic Publishers, 1998.

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Book chapters on the topic "Consumer Econometric models"

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Bartels, Robert, and Denzil G. Fiebig. "Efficiency of Alternative Estimators in Generalized Seemingly Unrelated Regression Models." In Contributions to Consumer Demand and Econometrics, 125–39. London: Palgrave Macmillan UK, 1992. http://dx.doi.org/10.1007/978-1-349-12221-9_7.

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Wansbeek, Tom, and Arie Kapteyn. "Simple Estimators for Dynamic Panel Data Models with Errors in Variables." In Contributions to Consumer Demand and Econometrics, 238–51. London: Palgrave Macmillan UK, 1992. http://dx.doi.org/10.1007/978-1-349-12221-9_13.

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Raj, Baldev. "The Perils of Underestimation of Standard Errors in a Random-coefficients Model and the Bootstrap." In Contributions to Consumer Demand and Econometrics, 222–37. London: Palgrave Macmillan UK, 1992. http://dx.doi.org/10.1007/978-1-349-12221-9_12.

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Dubin, Jeffrey A. "The Demand for Cameras by Consumers—A Model of Purchase, Type Choice, and Brand Choice." In Studies in Consumer Demand — Econometric Methods Applied to Market Data, 197–237. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5665-7_7.

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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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Ceylan, Özcan. "Dynamics of the Relation Between Producer and Consumer Price Indices." In Applied Econometric Analysis, 24–40. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1093-3.ch002.

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The relation between the Producer Prices Index (PPI) and the Consumer Price Index (CPI) in the U.S. is analyzed for two sub-periods: one spanning from 1947 to 1982, the post-war period marked by demand-side economic policies, and the other one starting by 1983 when supply-side policies pioneered by the Reagan government came into effect. As the series in question are found to be cointegrated, a Vector Error Correction Model is employed for the analysis. Regarding the long-run equilibrium relationships, it is found that the loading for the PPI series are statistically significant for both periods, while the loading for the CPI is barely significant for the first period, and it is insignificant at any acceptable level for the second. Thus, the CPI represents the common trend in the system in both periods, but it does more clearly so in the second period.
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Barnett, William A., and Ikuyasu Usui. "Chapter 6 The Theoretical Regularity Properties of the Normalized Quadratic Consumer Demand Model." In International Symposia in Economic Theory and Econometrics, 107–27. Elsevier, 2007. http://dx.doi.org/10.1016/s1571-0386(07)18006-6.

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Capps, Oral. "Forecasting Weekly Shipments of Hass Avocados from Mexico to the United States Using Econometric and Vector Autoregression Models." In Business, Management and Economics. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.107316.

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Domestic production cannot meet the U.S. demand for avocados, satisfying only 10% of the national demand. Due to year-round production and longer shelf-life, the Hass variety of avocados accounts for about 85% of avocados consumed in the United States and roughly 95% of total avocado imports, primarily from Mexico. Using weekly data over the period July 3, 2011, to October 24, 2021, econometric and vector autoregression models are estimated regarding the seven main shipment sizes of Hass avocados from Mexico to the United States. Both types of models discern the impacts of inflation-adjusted and exchange-rate adjusted prices per box as well as U.S. disposable income, holidays and events, and seasonality on the level of Hass avocado shipments by size. In general, these impacts are robust across the respective models by shipment size. These types of models also mimic the variability in the level of shipments by size quite well based on goodness-of-fit metrics. Based on absolute percent error, these models provide reasonably accurate forecasts of the level of Hass avocado shipments from Mexico by size associated with a time horizon of 13 weeks. But neither type of models provides better forecast performance universally across all avocado shipment sizes.
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Conference papers on the topic "Consumer Econometric models"

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Frischknecht, Bart, Katie Whitefoot, and Panos Papalambros. "Methods for Evaluating Suitability of Econometric Demand Models in Design for Market Systems." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87165.

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This paper articulates some of the challenges for what has been an implicit goal of design for market systems research: To predict demand for differentiated products so that counterfactual experiments can be performed based on changes to the product design (i.e., attributes). We present a set of methods for examining econometric models of consumer demand for their suitability in product design studies. We use these methods to test the hypothesis that automotive demand models that allow for nonlinear horizontal differentiation perform better than the conventional functional forms, which emphasize vertical differentiation. We estimate these two forms of consumer demand in the new vehicle automotive market, and find that using an ideal-point model of size preference rather than a monotonic model has model fit but different attribute substitution patterns. The generality of the evaluation methods and the range of demand model issues to be explored in future research are highlighted.
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Özer, Ali, Aslı Cansın Doker, and Adem Türkmen. "Analysis of Capital Flight in Developing Countries: A Study on Turkey between 1980 and 2010." In International Conference on Eurasian Economies. Eurasian Economists Association, 2013. http://dx.doi.org/10.36880/c04.00702.

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The aim of this study is to determine whether there is a relationship between Capital flight and some macroeconomic variables by using anual data between 1980 and 2010 in Turkey. Capital flight measured by World Bank (1985) method, was used as dependent variable and external debt, foreign direct investment, uncertainty, real GDP growth, exchange rates, trade balance and consumer price index were used as independent variables. Ordinary Least squares estimation method, Johansen-Jeselius cointegration test, Granger causality test and variance decomposition results produced by VEC model were used in the study. After those econometrics and economics analysis, this paper put forward that there is a long run relationship between some macroeconomic variables and capital flight.The results show external debt, foreign direct investment inflows, and foreign reserves to be the major effector of capital flight.
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Volkov, Artiom, Mangirdas Morkūnas, and Viktorija Skvarciany. "Is it possible to predict food retail prices? Evidence from Lithuanian market." In Contemporary Issues in Business, Management and Economics Engineering. Vilnius Gediminas Technical University, 2019. http://dx.doi.org/10.3846/cibmee.2019.018.

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Purpose – the purpose of the article is to develop a model that could be used for estimating the level of the effect of the highlighted determinants on food retail prices. Research methodology – the study is based on the obtained monthly data of food retail prices that covers the period from 2016 I m. to 2018 XII m. (36 observations). Multiple regression modelling is used in order to create a model of food retail prices. Findings – the results provide evidence that the most influential determinants are the price of the alternative products and purchasing power. It also contributes to scholarly thinking, stating, that it is possible to predict the future retail price of a particular product. Research limitations – the limitation of the current study is that the proposed econometric model is sufficient for the Lithuanian market and ought to be modified if used in other countries. Practical implications – the development model allows to predict/forecast the food retail prices which are crucial for households budget planning. Originality/Value – the current study examines the main determinant of retail food prices. It laid a background for future researches, based on examining possibilities to forecast food prices. The research results contribute to classic economic views about market imperfections influence onto supply-demand equilibrium and unproductiveness of consumer illicit market.
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King, Carey W., Jay Zarnikau, and Phil Henshaw. "Defining a Standard Measure for Whole System EROI Combining Economic “Top-Down” and LCA “Bottom-Up” Accounting." In ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90414.

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Business investments rely on creating a whole system of different parts, technologies, field and business operations, management, land, financing and commerce using a network of other services. Using the example of a wind farm development, a typical life cycle assessment (LCA) focuses upon the primary technology inputs and their countable embodied direct impacts. What LCA omits are the direct and indirect impacts of the rest of the business system that operates the primary technology, the labor, commerce and other technology employed. A total environmental assessment (TEA) would include the physical costs to the environment of the labor, commerce and other technology too. Here a simplified “system energy assessment” (SEA) is used to combine a “top-down” method of measuring implied indirect business impacts using econometric methods, with a “bottom-up” method of adding up the identifiable direct impact parts. The top-down technique gives an inclusive but rough measure. The bottom-up technique gives a precise accounting for the directly identifiable individual parts that is highly incomplete. SEA allows these two kinds of measures to be combined for a significantly improved understanding of the whole business system and its impacts, combining the high and low precision measures indentified by each method. The key is exhaustively accounting for energy uses within the natural boundary of a whole business system as a way of calibrating the measure. That allows defining a standardized measure of complex distributed system energy flows and their energy returns on invested energy resources (EROI). The method is demonstrated for a generic business operation. Starting from the easily accountable inputs and outputs, SEA successively uses larger natural system boundaries to discover a way of finding the limiting value of EROI after all parts of the whole are included. Some business choices and a net present value model of cash flow for the 20 year project help illustrate the related financial issues. The business model used shows that the EROI of a generic “Texas Wind Farm” is 31 when accounting for direct and indirect fuels only, but decreases to 4–6 after accounting for the economic energy consumed by all necessary business units and services.
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