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Relevant bibliographies by topics / Demand curve

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Academic literature on the topic 'Demand curve'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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Journal articles on the topic "Demand curve"

1

Bostaph, S., and Y. N. Shieh. "Jevons's Demand Curve." History of Political Economy 19, no. 1 (March 1, 1987): 107–26. http://dx.doi.org/10.1215/00182702-19-1-107.

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Frasco, Gregg P. "The Kinked Demand Curve When Demand Shifts." Journal of Economic Education 24, no. 2 (April 1993): 137–43. http://dx.doi.org/10.1080/00220485.1993.10844787.

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Frasco, Gregg P. "The Kinked Demand Curve When Demand Shifts." Journal of Economic Education 24, no. 2 (1993): 137. http://dx.doi.org/10.2307/1183162.

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Bhaskar, V. "The kinked demand curve." International Journal of Industrial Organization 6, no. 3 (January 1988): 373–84. http://dx.doi.org/10.1016/s0167-7187(88)80018-3.

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Vatter, Marc H. "OPEC's kinked demand curve." Energy Economics 63 (March 2017): 272–87. http://dx.doi.org/10.1016/j.eneco.2017.02.010.

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Naqellari, Alqi. "Positive Slope Model of Aggregate Demand." Academic Journal of Interdisciplinary Studies 7, no. 3 (November 1, 2018): 63–85. http://dx.doi.org/10.2478/ajis-2018-0059.

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Abstract This paper analyzes Internal Aggregate Demand. This aggregate, along with other production indicators, is the main indicator of the country’s economic performance rate. Objective analysis is important for their perspective, as well as for a set of other related indicators, such as inflation rate, unemployment rate, etc. In economic theory, the Aggregate Demand Curve (AD) deals with negative slope. At the point where AD interrupts the AS (aggregate supply curve) there is macroeconomic equilibrium. Creating this equilibrium, shifting curves, creates a number of other figures that show how the level of output, prices and employment will be, and overall the level of economy in the future. In this study, with the data of the Albanian economy, was built, for a period of 17 years, the Internal Demand Curve. Three effects are analyzed: the real balance sheet effect, the interest rates and the external trade effect. The internal demand curve has resulted in a Positive Slope. The equilibrium is not created at the intersection point of the curves. These curves stand facing each other. The equilibrium is set by the different aggregate price level. The Gross Domestic Product Curve (GDP) is the equilibrium curve created by the interaction of Aggregate Demand and Aggregate Supply. This position is real, and creates opportunities for objective analysis of the economy. This paper uses econometric, statistical, comparative and synthesis methods.

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Hudik, Marek. "The Marshallian demand curve revisited." European Journal of the History of Economic Thought 27, no. 1 (December 2, 2019): 108–30. http://dx.doi.org/10.1080/09672567.2019.1651361.

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Sen, Debapriya. "The kinked demand curve revisited." Economics Letters 84, no. 1 (July 2004): 99–105. http://dx.doi.org/10.1016/j.econlet.2004.01.005.

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Barron, John M., and Gerald J. Lynch. "The Aggregate Demand Curve: A Defense." Journal of Economic Education 18, no. 1 (1987): 41. http://dx.doi.org/10.2307/1182394.

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Hansen, Richard B., Ken McCormick, and Janet M. Rives. "The Aggregate Demand Curve: A Reply." Journal of Economic Education 18, no. 1 (1987): 47. http://dx.doi.org/10.2307/1182395.

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Dissertations / Theses on the topic "Demand curve"

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Al-Faris, Abdul-Razak Faris. "Market structure and price behaviour : a kinked demand curve approach to the world oil market." Thesis, University of Oxford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305853.

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Morici, Riccardo Vanni. "A curva da demanda e seu papel na institucionalização do marketing." Pontifícia Universidade Católica de São Paulo, 2014. https://tede2.pucsp.br/handle/handle/13299.

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Made available in DSpace on 2016-04-28T14:16:20Z (GMT). No. of bitstreams: 1 Riccardo Vanni Morici.pdf: 935106 bytes, checksum: df71b6fb476933b37f1fe62bd1f1d45e (MD5) Previous issue date: 2014-12-09
The objective of this dissertation is to understand the role that the Economic Sciences, and, specially the Demand Curve popularized by the British economist Alfred Marshall, had in the process of institutionalization of the Marketing area. Marshall was one of the responsible for the institutionalization of the Economic Sciences, by the end of the XIXth century. We intend to evaluate whether the Demand Curve, one of the elements worked by Marshall in his most important book Principles of Economics vol.I (1890) was indeed present in the pioneering documents in Marketing, participating, even indirectly, in its institutionalization, too. Marketing as academic discipline appeared in the United States, in the first years of the XXth century. It was part of a strong process of professionalization in business since the so-called Second Industrial Revolution, in the second half of the XIXth century, and the emergence of the consumption society. From an eminently empirical origin, without the use of methodologies, and sometimes called distribution, the area sought, in the following years, the use of scientific principles, as a way of legitimacy, besides an improvement in its efficiency. To fulfill the objective of reaching legitimacy, a probable way would have been to incorporate principles and laws of Economics, social science that in one of its applied forms gave rise to studies in Business Administration, from which Marketing is a specialization. When we evaluate the current textbooks of Marketing, it is constant the presence of the Demand Law and its graphical mathematical derivation, the Demand Curve. Therefore, we will focus on the Demand Curve and its links with Marshall and the beginning of Marketing
O Objetivo dessa dissertação é compreender o papel que as Ciências Econômicas, e, especialmente a Curva da Demanda popularizada pelo economista britânico Alfred Marshall, tiveram no processo de institucionalização da área de Marketing. Marshall foi um dos responsáveis pela institucionalização das Ciências Econômicas no final do século XIX. Pretendemos avaliar se a Curva da Demanda, um dos elementos trabalhados por Marshall em seu livro principal Principles of Economics vol. I (1890) esteve, de fato, presente nos documentos pioneiros em Marketing, participando, ainda que indiretamente, também de sua institucionalização. O Marketing, como disciplina acadêmica, surgiu nos Estados Unidos, nos primeiros anos do século XX. Foi parte de um forte processo de profissionalização nos negócios a partir da chamada Segunda Revolução Industrial, na segunda metade do século XIX, e do surgimento da sociedade de consumo. De origem eminentemente empírica, sem o uso de metodologias e, por vezes, denominada de distribuição, a área buscou nas décadas seguintes o uso de princípios científicos como uma forma de legitimação, além de uma melhoria na sua eficiência. Para cumprir o objetivo de atingir a legitimação, um caminho provável teria sido o de incorporar princípios e leis da Economia, ciência social que em uma de suas formas aplicadas deu origem aos estudos em Administração de Empresas, da qual o Marketing é uma das especializações. Quando avaliamos os atuais livros-texto de Marketing, é constante a presença da Lei da Demanda e de sua derivação matemática gráfica, a Curva da Demanda. Dessa forma, nossa pesquisa focará a Curva da Demanda e suas ligações com Marshall e o início do Marketing

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Omaghomi, Toritseju O. "Analysis of Methods for Estimating Water Demand in Buildings." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406881340.

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Omaghomi, Toritseju O. "Estimating Peak Water Demand in Buildings with Efficient Fixtures: Methods, Merits, and Implications." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1562843108109428.

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KE, XUAN. "The Willingness to Pay Tuition Fee at KTH." Thesis, KTH, Entreprenörskap och Innovation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153768.

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This paper investigates how the number of students changed due to tuition fee was introduced at KTH. Since fall in 2011, all universities in Sweden have started to charge tuition fee from non-EU/EEA students. Setting tuition fee is always a topic in free education countries. After tuition fee is charged, if non-EU potential master students would invest in a master program and whether they will invest at KTH. There are some important factors influencing the decisions and resulted in two approaches (cross country comparison and willingness to pay tuition fee). According to countries‟ tuition fee and students‟ living cost, we made estimation of education demand curve and categories showing various groups of students studying abroad. Compare with other countries‟ tuition setting, we see phenomenon of KTH and other universities of Sweden about tuition fee and enrollments. According to data from several questionnaires, the paper shows how international students consider of tuition fee at KTH. The data also indicates how factors such as reputation, education quality and tuition cost, living cost affect their choices, and how much tuition fee students would like to pay for studying at KTH by experience. KTH has some students‟ package to compensate fee-paying students, and give some students scholarships, but students are still very few to come. Meanwhile, KTH has competitors which are not only Swedish universities, but also other universities in other countries. How to compete with them and by the society comments, KTH has heavy pressure on its shoulders.
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Tsivras, Sotirios-Ilias. "Load Demand Forecasting : A case study for Greece." Thesis, Högskolan i Gävle, Energisystem och byggnadsteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-29841.

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It is more than a fact that electrical energy is a main production factor of every economic activity. Since electrical power is not easy to store, it needs to be consumed as it is generated in order to keep a constant balance between supply and demand. As a result, for developing an efficient energy market it is significant to create a method for accurately forecasting the electricity consumption. This thesis describes a method for analyzing data provided by the ENTSO-E transparency platform. The ENTSO-E (European Network of Transmission System Operators) is a network of electricity operators from 36 countries across Europe. Its main objective is to provide transparency concerning data of electricity generation and consumption in Europe in order to promote the development of efficient and competitive electricity markets. By using the method described in this thesis, one may use historical data provided by ENTSO-E to forecast the electricity consumption of an EU country for the years to come. As an example, data of electricity consumption in Greece during the years 2015-2018 have been used in order to calculate the average load demand of a weekday during the year 2030. On the other hand, in order to correctly predict the electricity demand of a specific region over the next decade, one should take into account some crucial parameters that may influence not only the evolution of the load demand, but also the fuel mix that will be used in order to cover our future electricity needs. Advances in power generation technologies, evolution of fuel prices, expansion of electricity grid and economic growth are a subset of parameters that should be taken into account for an accurate forecast of the electricity consumption in the long run. Particularly for Greece, a set of parameters that may affect the electricity consumption are being computationally analyzed in order to evaluate their contribution to the load demand curve by the year 2030. These include the interconnection of Greek islands to the mainland, the development of Hellinikon Project and the increase of the share of electric vehicles. The author of this thesis has developed code in Python programming language that can be found in the Appendix. These scripts and functions that implement most of the calculations described in the following chapters can also be used for forecasting the load demand of other EU countries that are included in the ENTSO-E catalogue. The datasets used as input to these algorithms may also be used from the readers to identify more patterns for predicting the load demand for a specific region and time. A sustainable energy system is based on consumers with environmental awareness. As a result, citizens living inside the European Union should become a member of a community that promotes energy saving measures, investments in renewable energy sources and smart metering applications.

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Manikonda, Nikhil. "Performance of Deep Geothermal Energy Systems." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23219.

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Geothermal energy is an important source of clean and renewable energy. This project deals with the study of deep geothermal power plants for the generation of electricity. The design involves the extraction of heat from the Earth and its conversion into electricity. This is performed by allowing fluid deep into the Earth where it gets heated due to the surrounding rock. The fluid gets vaporized and returns to the surface in a heat pipe. Finally, the energy of the fluid is converted into electricity using turbine or organic rankine cycle (ORC). The main feature of the system is the employment of side channels to increase the amount of thermal energy extracted. A finite difference computer model is developed to solve the heat transport equation. The numerical model was employed to evaluate the performance of the design. The major goal was to optimize the output power as a function of parameters such as thermal diffusivity of the rock, depth of the main well, number and length of lateral channels. The sustainable lifetime of the system for a target output power of 2 MW has been calculated for deep geothermal systems with drilling depths of 8000 and 10000 meters, and a financial analysis has been performed to evaluate the economic feasibility of the system for a practical range of geothermal parameters. Results show promising an outlook for deep geothermal systems for practical applications.

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Duguay-Arbesfeld, Jonathan. "The effects of creations and redemptions in the index participation unit market : evidence of the downward sloping demand curve for equity." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ59279.pdf.

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Trzaskaliková, Eva. "Matematické modely poptávky." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2010. http://www.nusl.cz/ntk/nusl-222595.

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The diploma thesis deals with the analyses of demand using standard tools of engineering mathematics. Mathematical models of demand, both single and multi- factor are investigated. Elasticity of demand is applied for decision making in price policy. Problems of optimization of demand reflecting utility and budget constraints are under consideration. Constructions of demand curve and compensated demand curve are presented. The text is accompanied by illustrative examples aiming at methodical aspects of the work

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Pitarresi, Salvatore. "Metodologia per la costruzione delle curve di consumo idrico a partire dai dati di monitoraggio. Applicazione alla rete idrica di Rapallo." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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Tra gli strumenti a supporto degli interventi infrastrutturali e della gestione efficiente di un sistema di distribuzione idrica, vi è certamente la disponibilità di un buon modello idraulico. Le curve di consumo descrivono la richiesta idropotabile nel tempo, generalmente nell’arco delle 24 ore, e sono necessarie sia in fase di creazione, sia in fase di calibrazione del modello. L’obiettivo è stato quello di definire una metodologia per la costruzione di curve di consumo a partire dai dati di monitoraggio di una rete di distribuzione idrica. La metodologia sviluppata si basa sul metodo del Minimum Night Flow e sulla relazione che lega la perdita idrica reale alla pressione in rete. L’algoritmo è stato implementato nell’ambiente open source R; consente inoltre di svolgere un’analisi di sensitività sui parametri che influenzano la stima del consumo. Lo studio si inserisce nella costruzione e calibrazione del modello numerico della rete di distribuzione idrica di Rapallo (GE), che il DICAM dell’Università di Bologna sta realizzando in collaborazione con IREN SpA. Sono stati raccolti i dati di monitoraggio di 9 distretti relativi all’estate 2018, associando ad essi informazioni censuarie ISTAT. Sono stati adottati valori del consumo minimo notturno pari a 2.9 e 4.08 l/(ua*h), ottenuto dai consumi in telelettura di Fano (PU). Sono stati posti come parametri variabili il passo della media mobile delle portate per la ricerca del minimo notturno e l’esponente di perdita N. I risultati a livello di distretto, per coppie di passo ed N fissati, sono il coefficiente stagionale; le curve di perdita e consumo giornaliero; la stima della perdita idrica; la curva di consumo adimensionale (demand pattern) mediana. L’analisi di sensitività ha evidenziato come all’aumentare del passo della media mobile, vi sia una conseguente sovrastima delle perdite idriche. Le curve di consumo adimensionale mostrano andamenti tipici, con differenze legate alle caratteristiche dei distretti.

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Books on the topic "Demand curve"

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Martin, Christopher. Turnover costs and the labour demand curve. London: London University, Queen Mary and Westfield College, Department of Economics, 1994.

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Newell, A. Stylised facts and the labour demand curve. London: University College, 1988.

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Martin, C. Turnover costs and the labour demand curve. London: Queen Mary and Westfield College Department of Economics, 1994.

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Cubitt, Robin P. Lumpsum menu costs and the labour demand curve. Norwich: University of East Anglia, School of Economic and Social Studies, 1991.

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Evans, Alan. Road congestion and the "backward bending" demand curve. Reading: University of Reading. Department of Economics, 1989.

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Bhaskar, V. Testing a model of the kinked demand curve. London: University College, 1989.

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Skinner, F. Interpretation of ultimate biochemical oxygen demand data via kinetic curve extrapolation models. Vegreville, Alta: Environmental Technology Division, Alberta Environmental Centre, 1990.

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Jones, Donald L. Value-based power trading: Using the overlay demand curve to pinpoint trends & predict market turns. Chicago, Ill: Probus, 1993.

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Borjas, George J. The labor demand curve is downward sloping: Reexamining the impact of immigration on the labor market. Cambridge, Mass: National Bureau of Economic Research, 2003.

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Mankiw, N. Gregory. Sticky information versus sticky prices: A proposal to replace the new Keynesian Phillips curve. Cambridge, MA: National Bureau of Economic Research, 2001.

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Book chapters on the topic "Demand curve"

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Bhaskar, V. "Kinked Demand Curve." In The New Palgrave Dictionary of Economics, 7314–16. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_781.

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Sawyer, M. "Kinked Demand Curve." In The New Palgrave Dictionary of Economics, 1–3. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1057/978-1-349-95121-5_781-1.

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Bhaskar, V. "Kinked Demand Curve." In The New Palgrave Dictionary of Economics, 1–3. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_781-2.

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Gram, Harvey. "Offer Curve or Reciprocal Demand Curve." In The New Palgrave Dictionary of Economics, 1–8. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1057/978-1-349-95121-5_1646-1.

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Gram, Harvey. "Offer Curve or Reciprocal Demand Curve." In The New Palgrave Dictionary of Economics, 1–8. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_1646-2.

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Gram, Harvey. "Offer Curve or Reciprocal Demand Curve." In The New Palgrave Dictionary of Economics, 9733–40. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_1646.

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Mátyás, Antal. "Attempts at Constructing the Demand Curve by the Indifference-Curve Approach." In History of Modern Non-Marxian Economics, 123–45. London: Macmillan Education UK, 1985. http://dx.doi.org/10.1007/978-1-349-18005-9_12.

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Palley, Thomas I. "The Phillips Curve and Demand-Pull Inflation." In Post Keynesian Economics, 166–81. London: Palgrave Macmillan UK, 1996. http://dx.doi.org/10.1057/9780230374126_10.

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Eichner, Alfred S. "The Demand Curve for Money Further Considered." In Toward a New Economics, 98–112. London: Palgrave Macmillan UK, 1985. http://dx.doi.org/10.1007/978-1-349-18060-8_5.

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Forman, Leonard, Miles Groves, and Alfred S. Eichner. "The Demand Curve for Money Further Considered." In Money and Macro Policy, 29–45. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-015-7715-1_2.

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Conference papers on the topic "Demand curve"

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Hui, Guangping, and Changjun Wu. "Demand Curve and Bliss Point." In First International Conference Economic and Business Management 2016. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/febm-16.2016.15.

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Ioanes, Andrei, and Radu Tirnovan. "Energy Demand Curve Modeling with Machine Learning Algorithms." In 2019 8th International Conference on Modern Power Systems (MPS). IEEE, 2019. http://dx.doi.org/10.1109/mps.2019.8759660.

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Hart, James D., Nasir Zulfiqar, and Joe Zhou. "Evaluation of Anisotropic Pipe Steel Stress-Strain Relationships Influence on Strain Demand." In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90495.

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Buried pipelines can be exposed to displacement-controlled environmental loadings (such as landslides, earthquake fault movements, etc.) which impose deformation demands on the pipeline. When analyzing pipelines for these load scenarios, the deformation demands are typically characterized based on the curvature and/or the longitudinal tension and compression strain response of the pipe. The term “strain demand” is used herein to characterize the calculated longitudinal strain response of a pipeline subject to environmentally-induced deformation demands. The shape of the pipe steel stress-strain relationship can have a significant effect on the pipe strain demands computed using pipeline deformation analyses for displacement-controlled loading conditions. In general, with sufficient levels of imposed deformation demand, a pipe steel stress-strain curve with a relatively abrupt or “sharp” elastic-to-plastic transition will tend to lead to larger strain demands than a stress-strain curve with a relatively rounded elastic-to-plastic transition. Similarly, a stress-strain curve with relatively low strain hardening modulus characteristics will tend to lead to larger strain demands than a stress-strain curve with relatively high strain hardening modulus characteristics. High strength UOE pipe can exhibit significant levels of anisotropy (i.e., the shapes of the stress-strain relationships in the longitudinal tension/compression and hoop tension/compression directions can be significantly different). To the extent that the stress-strain curves in the different directions can have unfavorable shape characteristics, it follows that anisotropy can also play an important role in pipeline strain demand evaluations. This paper summarizes a pipeline industry research project aimed at evaluation of the effects of anisotropy and the shape of pipe steel stress-strain relationships on pipeline strain demand for X80 and X100 UOE pipe. The research included: a review of pipeline industry literature on the subject matter; a discussion of pipe steel plasticity concepts for UOE pipe; characterization of the anisotropy and stress-strain curve shapes for both conventional and high strain pipe steels; development of representative analytical X80 and X100 stress-strain relationships; and evaluation of a large matrix of ground-movement induced pipeline deformation scenarios to evaluate key pipe stress-strain relationship shape and anisotropy parameters. The main conclusion from this work is that pipe steel specifications for high strength UOE pipe for strain-based design applications should be supplemented to consider shape-characterizing parameters such as the plastic complementary energy.

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Fouad, Ahmed Hussein Othman, and Cristian Bovo. "Modelling of the Demand Curve of the Italian Capacity Market." In 2019 IEEE Milan PowerTech. IEEE, 2019. http://dx.doi.org/10.1109/ptc.2019.8810453.

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Lawal, S. M., H. Hizam, A. Toudeshki, C. Gomes, and J. Jasni. "Optimal power demand curve: A case study in Universiti Putra Malaysia." In 2012 IEEE International Conference on Power and Energy (PECon). IEEE, 2012. http://dx.doi.org/10.1109/pecon.2012.6450211.

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Dewan, Farhana, and Nathan Fisher. "Efficient Admission Control for Enforcing Arbitrary Real-Time Demand-Curve Interfaces." In 2012 IEEE 33rd Real-Time Systems Symposium (RTSS). IEEE, 2012. http://dx.doi.org/10.1109/rtss.2012.65.

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Traverso, Michael G., and Ali E. Abbas. "Demand curve prediction via Bayesian probability assignment over a functional space." In 2009 Winter Simulation Conference - (WSC 2009). IEEE, 2009. http://dx.doi.org/10.1109/wsc.2009.5429229.

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Rodriguez, Cristian David Bedoya, Jose Alejandro Jimenez Segura, Maria Camila Ceballos Ruiz, Guillermo Andres Jimenez Estevez, and Patricio A. Mendoza Araya. "Evaluating the Impact of a V2G Scheme on the Demand Curve." In 2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON). IEEE, 2019. http://dx.doi.org/10.1109/chilecon47746.2019.8987549.

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Isai Garcia-Mercado, J., and G. Gutierrez-Alcaraz. "Contingency-Constrained Transmission Expansion Planning Considering a Representative Daily Demand Curve." In 2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA). IEEE, 2018. http://dx.doi.org/10.1109/tdc-la.2018.8511668.

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Xu, Meng, Chris J. Dent, and Amy Wilson. "Zonal operating reserve demand curve applied to day-ahead deterministic unit commitment." In 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, 2016. http://dx.doi.org/10.1109/pmaps.2016.7764192.

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Reports on the topic "Demand curve"

1

Barth, Erling, James Davis, Richard Freeman, and Kristina McElheran. Twisting the Demand Curve: Digitalization and the Older Workforce. Cambridge, MA: National Bureau of Economic Research, November 2020. http://dx.doi.org/10.3386/w28094.

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Borjas, George. The Labor Demand Curve is Downward Sloping: Reexamining the Impact of Immigration on the Labor Market. Cambridge, MA: National Bureau of Economic Research, June 2003. http://dx.doi.org/10.3386/w9755.

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3

Coutts, D. A. Single Tube Test Program Demand Curve Data Tables. Columbia University Flow Instability Experimental Program, Volume 9. Office of Scientific and Technical Information (OSTI), September 1993. http://dx.doi.org/10.2172/10168219.

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Kroft, Kory, René Leal Vizcaíno, Matthew Notowidigdo, and Ting Wang. Parallel Inverse Aggregate Demand Curves in Discrete Choice Models. Cambridge, MA: National Bureau of Economic Research, June 2020. http://dx.doi.org/10.3386/w27437.

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Carlsson, Mikael, Julián Messina, and Oskar Nordström Skans. Firm-Level Shocks and Labor Flows. Inter-American Development Bank, January 2021. http://dx.doi.org/10.18235/0003002.

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Abstract:

This paper analyzes how labor ows respond to permanent idiosyncratic shifts in rm-level production functions and demand curves using very detailed Swedish micro data. Shocks to rms physical productivity have only modest eects on rm-level employment decisions. In contrast, the paper documents rapid and substantial employment adjustments through hires and separations in response to rm-level demand shocks. The choice of adjustment margin depends on the sign of the shock: rms adjust through increased hires if these shocks are positive and through increased separations if the shocks are negative.

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Carlsson, Mikael, Julián Messina, and Oskar Nordström Skans. Firm-Level Shocks and Labor Flows. Inter-American Development Bank, January 2021. http://dx.doi.org/10.18235/0003002.

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Abstract:

This paper analyzes how labor ows respond to permanent idiosyncratic shifts in rm-level production functions and demand curves using very detailed Swedish micro data. Shocks to rms physical productivity have only modest eects on rm-level employment decisions. In contrast, the paper documents rapid and substantial employment adjustments through hires and separations in response to rm-level demand shocks. The choice of adjustment margin depends on the sign of the shock: rms adjust through increased hires if these shocks are positive and through increased separations if the shocks are negative.

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