Relevant bibliographies by topics / Econometrics probit analysis

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  1. Journal articles

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"

1

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

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2

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 (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 retu
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3

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

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4

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

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5

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 (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
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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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7

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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8

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

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9

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

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10

Edwards, Yancy D., and Greg M. Allenby. "Multivariate Analysis of Multiple Response Data." Journal of Marketing Research 40, no. 3 (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-diago
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