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Relevant bibliographies by topics / Econometrics probit analysis

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Academic literature on the topic 'Econometrics probit analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "Econometrics probit analysis"

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DE Bondt, G. J., and C. C. A. Winder. "Countries' creditworthiness: An indicator from a probit analysis." De Economist 144, no. 4 (December 1996): 617–33. http://dx.doi.org/10.1007/bf01371942.

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Perry, Gregory M., M. Edward Rister, James W. Richardson, and Warren R. Grant. "Analyzing Tenure Arrangements and Crop Rotations Using Farm Simulation and Probit Analysis." Journal of Agricultural and Applied Economics 18, no. 2 (December 1986): 165–74. http://dx.doi.org/10.1017/s008130520000621x.

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AbstractWhole farm simulation analysis and econometric techniques are employed in an analysis of crop rotations and tenure arrangement strategies. The FLIPSIM model is used to analyze a representative Texas Upper Gulf Coast rice and soybean farm. Probit analysis is then used to determine the impact of net cash farm income, land tenure, and crop rotation on probability of survival. Results suggest that, although the simulation model is useful in providing information on the effect at the farm level of following the different strategies, probit results provide greater understanding into the returns and risk inherent to each strategy.

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Parikh, Ashok, and Kunal Sen. "Probit with heteroscedasticity: an application to Indian poverty analysis." Applied Economics Letters 13, no. 11 (September 15, 2006): 699–707. http://dx.doi.org/10.1080/13504850500402096.

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Hudson, John, and Richard Lark. "A polychotomous probit measure and analysis of inflationary expectations." Journal of Macroeconomics 11, no. 2 (March 1989): 269–80. http://dx.doi.org/10.1016/0164-0704(89)90042-6.

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Harrison, R. Wes, Jeffrey Gillespie, and Deacue Fields. "Analysis of Cardinal and Ordinal Assumptions in Conjoint Analysis." Agricultural and Resource Economics Review 34, no. 2 (October 2005): 238–52. http://dx.doi.org/10.1017/s106828050000839x.

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Of twenty-three agricultural economics conjoint analyses conducted between 1990 and 2001, seventeen used interval-rating scales, with estimation procedures varying widely. This study tests cardinality assumptions in conjoint analysis when interval-rating scales are used, and tests whether the ordered probit or two-limit tobit model is the most valid. Results indicate that cardinality assumptions are invalid, but estimates of the underlying utility scale for the two models do not differ. Thus, while the ordered probit model is theoretically more appealing, the two-limit tobit model may be more useful in practice, especially in cases with limited degrees of freedom, such as with individual-level conjoint models.

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Matos, Pedro Verga, Nicoletta Rosati, and Horácio C. Faustino. "Convergence in corporate governance: a probit analysis." International Journal of Economics and Business Research 12, no. 3 (2016): 181. http://dx.doi.org/10.1504/ijebr.2016.080329.

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Alem, Yonas, and Eyoual Demeke. "The persistence of energy poverty: A dynamic probit analysis." Energy Economics 90 (August 2020): 104789. http://dx.doi.org/10.1016/j.eneco.2020.104789.

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Rifaat, S. M., and H. C. Chin. "Accident severity analysis using ordered probit model." Journal of Advanced Transportation 41, no. 1 (September 2007): 91–114. http://dx.doi.org/10.1002/atr.5670410107.

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High, Sammy. "A PROBIT ANALYSIS OF THE SENATE VOTE ON WIRTH/WILSON." Humanomics 15, no. 4 (April 1999): 48–54. http://dx.doi.org/10.1108/eb018837.

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Edwards, Yancy D., and Greg M. Allenby. "Multivariate Analysis of Multiple Response Data." Journal of Marketing Research 40, no. 3 (August 2003): 321–34. http://dx.doi.org/10.1509/jmkr.40.3.321.19233.

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Multiple response questions, also known as a pick any/J format, are frequently encountered in the analysis of survey data. The relationship among the responses is difficult to explore when the number of response options, J, is large. The authors propose a multivariate binomial probit model for analyzing multiple response data and use standard multivariate analysis techniques to conduct exploratory analysis on the latent multivariate normal distribution. A challenge of estimating the probit model is addressing identifying restrictions that lead to the covariance matrix specified with unit-diagonal elements (i.e., a correlation matrix). The authors propose a general approach to handling identifying restrictions and develop specific algorithms for the multivariate binomial probit model. The estimation algorithm is efficient and can easily accommodate many response options that are frequently encountered in the analysis of marketing data. The authors illustrate multivariate analysis of multiple response data in three applications.

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Dissertations / Theses on the topic "Econometrics probit analysis"

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Bom, Conselho Thiérs Hofman do. "The Use of the Educational Voucher Program in Brazil: A Socio-Economic Study of an Alternative Educational Funding System in Brazil." Ohio University / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1121357082.

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Durham, Catherine Alison. "ANALYSIS OF THE FACTORS INFLUENCING THE INSTALLATION OF SOLAR HOT WATER HEATERS IN HOMES (ENERGY, TAX CREDIT, ECONOMETRIC, PROBIT)." Thesis, The University of Arizona, 1985. http://hdl.handle.net/10150/275403.

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Maredza, Andrew. "Profit incentives and technical efficiency in the provision of health care in Zimbabwe: an application of data envelopment analysis and econometric methods." Thesis, University of Fort Hare, 2009. http://hdl.handle.net/10353/294.

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This study examines issues surrounding efficiency in the Zimbabwean health sector with specific emphasis on for-profit hospitals in order to find out whether they are significantly more efficient than non-profit hospitals. The study attempts to explore the significance of profit incentives on efficiency. This study uses the Data Envelopment Analysis (DEA) methodology to examine hospital efficiency scores for the 100 hospitals in the sample classified as for-profit, mission and public. Outputs of the study include inpatient days and outpatient visits. The number of beds, doctors and nurses were used to capture hospital inputs. The findings indicated that there was a marked deviation of efficiency scores from the best practice frontier with for-profit hospitals having the highest mean PTE of 71.1 percent. The mean PTE scores for mission and public hospitals were 64.8 percent and 62.6 percent respectively. About 85 percent, 83 percent and 91 percent of the for-profit, mission and public hospitals were found to be operating below their average PTE. More than half of the hospitals are being run inefficiently. Of more importance to this study is the fact that the hypothesis of for-profit hospital superiority was accepted implying that for profit hospitals are significantly more efficient than the non-profit category. The study indicated that the amount of inputs being used could be decreased substantially without decreasing the quantity of outputs achieved. In each of the hospitals included in the study, the total input reductions needed to make inefficient hospitals efficient are more than 50 percent. These input savings could go a long way in achieving other health concerns without mobilizing additional resources in the sector

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WU, ZHAO-RONG, and 吳肇榮. "Prediction of investment performance of Taiwan stock market : application of econometric analysis (discriminant analysis, probit model and logit model)." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/40113559142910856170.

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Books on the topic "Econometrics probit analysis"

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Blanchard, Olivier. The stock market, profit and investment. Cambridge, MA: National Bureau of Economic Research, 1990.

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Pagano, Marco. Why do companies go public?: An empirical analysis. London: Centre for Economic Policy Research, 1996.

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Pagano, Marco. Why do companies go public?: An empirical analysis. Cambridge, MA: National Bureau of Economic Research, 1995.

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Lamont, Owen A. Earnings and expected returns. Cambridge, MA: National Bureau of Economic Research, 1996.

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Engle, R. F. Valuation of variance forecasts with simulated option markets. Cambridge, MA: National Bureau of Economic Research, 1990.

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W, Cooper Russell. Exhuming Q: Market power vs. capital market imperfections. Cambridge, MA: National Bureau of Economic Research, 2001.

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W, Cooper Russell. Exhuming Q: Market power vs. capital market imperfections. [Minneapolis, MN]: Federal Reserve Bank of Minneapolis, Research Dept., 2001.

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Patibandla, Murali. International Trade and Investment Behaviour of Firms. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190126865.001.0001.

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During last four decades the world has been significantly impacted by globalization and rapid technological changes. This in turn had major effects on the global economy. Several developing and socialist economies that earlier followed closed door and import substitution policies started to open their economies to world trade and investments. Some such countries, as India, managed to achieve a degree of economic prosperity over the last few years after opening their economy. The analyses in this book show that there are significant benefits from international trade and investment to emerging economies that possess critical-level initial conditions in technology, infrastructure, and ease of doing business, and have friendly policies. Focusing on Indian firms, the book spans the period from the pre-reform era to the post-reform era, when the market was responding to policy reforms and global market dynamics. It analyses firm-level behaviour with systematic theory and corresponding rigorous econometrics and qualitative information from field study across the country. In the Pre-reforms era, it was mostly small and medium scale firms that contributed to exports while most large firms were inward oriented in search of monopoly profits. This changed significant in the Post-reform era owing increased competitive conditions especially multinational firms. Large firms started to play important role in international trade and investment behaviour by acquiring world class technology and organizational practices.

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Silva, Elvira, Spiro E. Stefanou, and Alfons Oude Lansink. Dynamic Efficiency and Productivity Measurement. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190919474.001.0001.

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The book takes on a systematic treatment of dynamic decision making and performance measurement. The analytical foundations of the dynamic production technology are introduced and developed in detail for several primal representations of the technology with an emphasis on dynamic directional distance functions. Dynamic cost minimization and dynamic profit maximization are developed for primal and dual representations of the dynamic technology. A dynamic production environment can be characterized as one where current production decisions impact future production possibilities. Consequently, the dynamic perspective of production relationships necessarily involves the close interplay between stock and flow elements in the transformation process and how current decisions impact the changes in future stocks. Stock elements in the production transformation process can involve physical elements that can be effectively employed in the transformation process, which can include the stock of technical knowledge and expertise available to the decision maker during the decision period. The dynamic generalization of concepts measuring the production structure (e.g., economies of scale, economies of scope, capacity utilization) and performance (e.g., allocative, scale and technical inefficiency, productivity) are developed from primal and dual perspectives. As an important source of productivity growth, production efficiency analysis is the subject of countless studies. Yet, theoretical and empirical studies focusing on production efficiency have ignored typically the time interdependence of production decisions and the adjustment paths of the firm over time. The empirical implementation of these production and performance measures is developed at length for both nonparametric and econometric approaches.

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Book chapters on the topic "Econometrics probit analysis"

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Dhrymes, Phoebus. "Discrete Choice Models: Logit and Probit Analysis." In Introductory Econometrics, 527–59. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65916-9_9.

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Beron, Kurt J., and Wim P. M. Vijverberg. "Probit in a Spatial Context: A Monte Carlo Analysis." In Advances in Spatial Econometrics, 169–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05617-2_8.

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Elveren, Adem Yavuz. "An econometric analysis of the nexus of military expenditure and the profit rate." In The Economics of Military Spending, 95–111. Abingdon, Oxon ; New York, NY : Routledge, 2019. | Series: Routledge Frontiers of Political Economy: Routledge, 2019. http://dx.doi.org/10.4324/9780429430947-6.

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Jaitang, Chalerm, Paravee Maneejuk, Aree Wiboonpongse, and Songsak Sriboonchitta. "Analysis of Small and Medium-Sized Enterprises’ Insolvency Probability by Financial Statements Using Probit Kink Model: Manufacture Sector in Songkhla Province, Thailand." In Structural Changes and their Econometric Modeling, 607–19. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04263-9_48.

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Tawada, Makota, and Koji Shimomura. "On the Heckscher-Ohlin Analysis and the Gains from Trade with Profit-Maximizing and Labour Managed Firms." In Econometric Advances in Spatial Modelling and Methodology, 33–43. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2899-6_4.

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McCulloch, Robert E., and Peter E. Rossi. "Bayesian analysis of the multinomial probit model." In Simulation-based Inference in Econometrics, 158–76. Cambridge University Press, 2000. http://dx.doi.org/10.1017/cbo9780511751981.009.

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"Two econometric techniques for the study of technology adoption: probit/logit models and duration analysis." In The Adoption of Sustainable Agricultural Technologies, 123–45. Routledge, 2018. http://dx.doi.org/10.4324/9780429427541-16.

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Özelkan, Ertunga C., and Agnes Galambosi. "When Does RFID Make Business Sense for Managing Supply Chains?" In Ubiquitous and Pervasive Computing, 1250–83. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-960-1.ch077.

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Radio frequency identification (RFID) is believed to change how supply chains operate today. While RFID’s promise for improved inventory visibility and automation in inventory management is making many supply chain players hopeful for increased sales and reduced operating costs, these benefits do come at a cost and involve risks. This article presents financial returns analysis that captures RFID’s costs and benefits, and quantifies the financial risks of implementing RFID for various business sizes and products with different unit profits to understand when RFID makes business sense. More precisely, the returns analysis is performed using an econometric model to understand how break-even sales volumes, unit profits, tag prices, return on investment, and risks vary between a manufacturer and a retailer in a supply chain. The results are extended to multiproduct cases as well. A sensitivity analysis is also performed to understand the returns in pessimistic and optimistic scenarios.

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Cohn, Samuel. "What Can Go Wrong When Western Companies Invest in Poor Nations." In All Societies Die, 73–75. Cornell University Press, 2021. http://dx.doi.org/10.7591/cornell/9781501755903.003.0022.

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This chapter examines the case of multinational corporations to demonstrate how the West is still causing economic damage to poor nations. Multinational corporations are companies that are based in one country but have subsidiaries in many other nations of the world. Multinational corporations investing in poor nations is supposed to be good; the multinational corporations offer to bring in capital and technology, which are just what struggling economies need. The problem is capital repatriation, which is when a foreign-owned subsidiary of a multinational corporation transfers its profits out of the local country and into the home country where the multinational's headquarters are located. The chapter then considers a famous study by Barnet and Muller of the Latin American subsidiaries of American manufacturing companies in the 1960s. They found that the American companies actually started very few new manufacturing operations in Latin America. They instead shopped for preexisting successful companies, taking operations that already had a substantial income flow and diverted that flow to the United States. Meanwhile, econometric analyses of both the short-term and the long-term effects of foreign direct investment find that the turnaround point is about five years after the investment. From year zero to year five, foreign direct investment raises rates of economic growth. From year five to year twenty, foreign direct investment lowers rates of economic growth.

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Conference papers on the topic "Econometrics probit analysis"

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Nocoń, Aleksandra, and Irena Pyka. "EFFECTIVENESS OF RISK CAPITAL (OWN FUNDS) IN THE POLISH BANKING SECTOR IN THE YEARS OF 2002–2016." In Business and Management 2018. VGTU Technika, 2018. http://dx.doi.org/10.3846/bm.2018.02.

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The analysis of effectiveness of risk capital in the Polish banking sector have become the main aim of the study. In the article, statistical and econometric methods were used, based on a linear regres-sion model of net profit in relation to the value of own funds of the banking sector in Poland in the years of 2002–2016. Next, through the quartile method, there were estimated the relations between effectiveness and a level of risk capital of the largest banks in Poland. Conducted research were aimed to verify the research hypothesis stating that in the Polish banking sector there is a positive cor-relation between net profit and banks’ own funds, which constitute an essential component of bank risk capital.

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Frischknecht, Bart D. "A Bayesian Approach to Extrinsic Versus Intrinsic Uncertainty in Design for Market Systems." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12712.

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This article illustrates how variance in the predictive distribution of the profit objective function in a design for market systems model can be decomposed into two components using a simulation based Bayesian approach introduced in the econometrics literature. The first component, intrinsic uncertainty, would be retained in the model even if the model calibration parameter values, such as parameters representing customer preferences, were known with certainty. The second component, extrinsic uncertainty, stems from lack of precision regarding model calibration parameters such as customer preferences. The simulation based approach overcomes a key problem in decomposing uncertainty for the typical design for market systems problem by overcoming the difficulties associated with analytical treatment of non-normal distributions. The variance decomposition approach is demonstrated for the design of a handheld grinder power tool. Following the same Bayesian decision analysis framework the variance simulation method can be applied to other design for market system problems with other objective functions and with additional sources of uncertainty.

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Sakur, Reşat. "The Relationship between Intellectual Capital and Firm Financial Performance; An Econometric Analysis on the Banks which Processed to the BIST." In International Conference on Eurasian Economies. Eurasian Economists Association, 2017. http://dx.doi.org/10.36880/c08.01883.

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Nowadays, the rapid development of information, communication and information technology increases the importance of information. The concept of knowledge management for businesses is becoming the biggest competitive element of the business and the prospect of intangible assets is steadily increasing. This situation gives priority to the concept of intellectual capital, which contributes the most to the value of the enterprises. In the literature, there are many studies on the relationship between intellectual capital concept and firm financial performance, and these studies generally focus on how intellectual capital is calculated. Human capital, structural capital and customer capital, which are the elements of the intellectual capital concept, are more prominent in the banking sector than the service producing sectors and are more evident than the company performance. The aim of our work is to examine the effect of intellectual capital on banks operating in Turkey and whose stocks are traded on the Stock Exchange Istanbul. In this context, the Intellectual Value Added Coefficient (VAIC) method developed by Ante Pulic was used to calculate the intellectual capital of the banks. In our study, the data of 13 banks under independent supervision during the period of 2009-2016 were analyzed by panel data analysis method and the relationship between intellectual capital and profitability of the banks, profitability of assets, net profit margin and equity profitability ratios were tested. As a result of the analysis made, a positive relationship was found between the intellectual capital of the banks and the financial performance.

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Wassenaar, Henk Jan, Wei Chen, Jie Cheng, and Agus Sudjianto. "Enhancing Discrete Choice Demand Modeling for Decision-Based Design." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/dtm-48683.

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Our research is motivated by the need for developing a rigorous Decision-Based Design framework and the need for developing an approach to demand modeling that is critical for assessing the profit a product can bring. Even though demand modeling techniques exist in market research, little work exists on product demand modeling that addresses the specific needs of engineering design in particular that facilitates engineering decision-making. Building upon our earlier work on using the discrete choice analysis approach to demand modeling, in this work, we provide detailed guidelines for implementing the discrete choice demand modeling approach in product design. The modeling of a hierarchy of product attributes is introduced to cascade customer desires to specific key customer attributes that can be represented using engineering language. To improve the predictive capability of demand models, we propose to use the Kano method for providing the econometric justification when selecting the shape of the customer utility function. A real (passenger) vehicle engine case study, developed in collaboration with the market research firm J.D. Power & Associates and Ford Motor Company, demonstrates the proposed approaches. The example focuses on demand analysis and does not reach beyond the key customer attribute level. The obtained demand model is shown to be satisfactory through cross validation.

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