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Journal articles on the topic 'Endogenous models'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

Barthélemy, Jean, and Magali Marx. "Solving endogenous regime switching models." Journal of Economic Dynamics and Control 77 (April 2017): 1–25. http://dx.doi.org/10.1016/j.jedc.2017.01.011.

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2

Minozzi, William. "Endogenous Beliefs in Models of Politics." American Journal of Political Science 57, no. 3 (March 20, 2013): 566–81. http://dx.doi.org/10.1111/ajps.12021.

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3

Garcon, Manuel, Josselin Garnier, and Abdennebi Omrane. "On Some Endogenous Probability-Migration Models." Revue d'Économie Régionale & Urbaine décembre, no. 5 (2013): 877. http://dx.doi.org/10.3917/reru.135.0877.

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4

Dolmas, Jim. "Endogenous Growth in Multisector Ramsey Models." International Economic Review 37, no. 2 (May 1996): 403. http://dx.doi.org/10.2307/2527330.

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5

Tramontana, Fabio, Laura Gardini, and Anna Agliari. "Endogenous cycles in discontinuous growth models." Mathematics and Computers in Simulation 81, no. 8 (April 2011): 1625–39. http://dx.doi.org/10.1016/j.matcom.2010.12.002.

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6

Chen, Roger B. "Models of Count with Endogenous Choices." Transportation Research Procedia 23 (2017): 460–79. http://dx.doi.org/10.1016/j.trpro.2017.05.026.

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7

NISHIMURA, KAZUO, ALAIN VENDITTI, and MAKOTO YANO. "ENDOGENOUS FLUCTUATIONS IN TWO-COUNTRY MODELS." Japanese Economic Review 57, no. 4 (December 2006): 516–32. http://dx.doi.org/10.1111/j.1468-5876.2006.00401.x.

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8

Chu, C. Y. Cyrus, and Huei‐Chung Lu. "Predator‐prey models with endogenous decisions." Mathematical Population Studies 8, no. 1 (June 2000): 55–71. http://dx.doi.org/10.1080/08898480009525473.

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9

Chen, Roger B. "Models of count with endogenous choices." Transportation Research Part B: Methodological 117 (November 2018): 862–75. http://dx.doi.org/10.1016/j.trb.2017.08.019.

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10

Bal, Frans, and Peter Nijkamp. "Exogenous and endogenous spatial growth models." Annals of Regional Science 32, no. 1 (February 16, 1998): 63–89. http://dx.doi.org/10.1007/s001680050063.

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11

Martínez-García, María Pilar. "Local stability in endogenous growth models." Optimal Control Applications and Methods 22, no. 5-6 (September 2001): 281–300. http://dx.doi.org/10.1002/oca.697.

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12

Jones, C. I. "Time Series Tests of Endogenous Growth Models." Quarterly Journal of Economics 110, no. 2 (May 1, 1995): 495–525. http://dx.doi.org/10.2307/2118448.

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13

Samuele Centorrino and Jeffrey S. Racine. "Semiparametric Varying Coefficient Models with Endogenous Covariates." Annals of Economics and Statistics, no. 128 (2017): 261. http://dx.doi.org/10.15609/annaeconstat2009.128.0261.

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14

Ozlu, Elvan. "Aggregate economic fluctuations in endogenous growth models." Journal of Macroeconomics 18, no. 1 (December 1996): 27–47. http://dx.doi.org/10.1016/s0164-0704(96)80002-4.

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15

Karakaplan, Mustafa U. "Fitting Endogenous Stochastic Frontier Models in Stata." Stata Journal: Promoting communications on statistics and Stata 17, no. 1 (March 2017): 39–55. http://dx.doi.org/10.1177/1536867x1701700103.

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In this article, I introduce sfkk, a new command for fitting endogenous stochastic frontier models. sfkk provides estimators for the parameters of a linear model with a disturbance assumed to be a mixture of two components: a measure of inefficiency that is strictly nonnegative and a two-sided error term from a symmetric distribution. sfkk can handle endogenous variables in the frontier or the inefficiency, and the sfkk estimates outperform the standard frontier estimates that ignore endogeneity.

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16

Jones, Larry E., Rodolfo E. Manuelli, and Peter E. Rossi. "Optimal Taxation in Models of Endogenous Growth." Journal of Political Economy 101, no. 3 (June 1993): 485–517. http://dx.doi.org/10.1086/261884.

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17

Wang, Ruxian, and Zizhuo Wang. "Consumer Choice Models with Endogenous Network Effects." Management Science 63, no. 11 (November 2017): 3944–60. http://dx.doi.org/10.1287/mnsc.2016.2520.

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18

Sedgley, Norman, and Bruce Elmslie. "THE DYNAMIC PROPERTIES OF ENDOGENOUS GROWTH MODELS." Macroeconomic Dynamics 17, no. 5 (March 11, 2013): 1118–34. http://dx.doi.org/10.1017/s1365100512000119.

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This paper explores the dynamics of semiendogenous versus fully endogenous growth models in “lab equipment” specifications of the models with expanding sectors. Capital is allowed to accumulate and is used, together with other inputs, to produce new knowledge. The stability of the steady state path is found to be determined by the inequality and/or knife-edge restrictions needed to produce steady state growth. This paper takes the ratio of the shadow price of capital to knowledge and the level of consumption as jump variables. Semiendogenous growth models lead to a 4 × 4 dynamic system where the sign of the coefficient matrix of the log linearized dynamic system is indefinite, leading to a potential for both stable and unstable equilibria. The knife-edge restrictions needed to generate policy influences on growth are shown to be restrictions that reduce the system to 3 × 3 with a positive definite coefficient matrix, thereby guaranteeing a globally stable equilibrium. Implications for empirical testing are addressed.

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19

Vytlacil, Edward, and Nese Yildiz. "Dummy Endogenous Variables in Weakly Separable Models." Econometrica 75, no. 3 (May 2007): 757–79. http://dx.doi.org/10.1111/j.1468-0262.2007.00767.x.

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20

Gomes, Orlando. "On the stability of endogenous growth models." Journal of Economic Studies 36, no. 1 (January 23, 2009): 17–35. http://dx.doi.org/10.1108/01443580910923786.

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21

Koop, Gary, and Simon M. Potter. "Bayesian Analysis of Endogenous Delay Threshold Models." Journal of Business & Economic Statistics 21, no. 1 (January 2003): 93–103. http://dx.doi.org/10.1198/073500102288618801.

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22

Xu, Bin. "Tax Policy Implications in Endogenous Growth Models." IMF Working Papers 94, no. 38 (1994): i. http://dx.doi.org/10.5089/9781451977554.001.

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23

Song, Suyong, Susanne M. Schennach, and Halbert White. "Estimating nonseparable models with mismeasured endogenous variables." Quantitative Economics 6, no. 3 (November 2015): 749–94. http://dx.doi.org/10.3982/qe275.

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24

Boldrin, Michele, Kazuo Nishimura, Tadashi Shigoka, and Makoto Yano. "Chaotic Equilibrium Dynamics in Endogenous Growth Models." Journal of Economic Theory 96, no. 1-2 (January 2001): 97–132. http://dx.doi.org/10.1006/jeth.2000.2677.

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25

Hong, Han, and Elie Tamer. "Inference in Censored Models with Endogenous Regressors." Econometrica 71, no. 3 (May 2003): 905–32. http://dx.doi.org/10.1111/1468-0262.00430.

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26

Jun, Sung Jae, Joris Pinkse, and Haiqing Xu. "Discrete endogenous variables in weakly separable models." Econometrics Journal 15, no. 2 (June 1, 2012): 288–303. http://dx.doi.org/10.1111/j.1368-423x.2012.00373.x.

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27

Delgado, Michael S., Deniz Ozabaci, Yiguo Sun, and Subal C. Kumbhakar. "Smooth coefficient models with endogenous environmental variables." Econometric Reviews 39, no. 2 (March 16, 2019): 158–80. http://dx.doi.org/10.1080/07474938.2018.1552413.

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28

Boldrin, Michele, and Michael Woodford. "Equilibrium models displaying endogenous fluctuations and chaos." Journal of Monetary Economics 25, no. 2 (March 1990): 189–222. http://dx.doi.org/10.1016/0304-3932(90)90013-t.

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29

Amsler, Christine, Artem Prokhorov, and Peter Schmidt. "Endogenous environmental variables in stochastic frontier models." Journal of Econometrics 199, no. 2 (August 2017): 131–40. http://dx.doi.org/10.1016/j.jeconom.2017.05.005.

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30

Boldrin, Michele. "Perfectly competitive models of endogenous business fluctuations." European Economic Review 35, no. 2-3 (April 1991): 300–305. http://dx.doi.org/10.1016/0014-2921(91)90130-b.

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31

Greene, William. "Models for count data with endogenous participation." Empirical Economics 36, no. 1 (March 28, 2008): 133–73. http://dx.doi.org/10.1007/s00181-008-0190-5.

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32

Bettin, Giulia, and Riccardo Lucchetti. "Interval regression models with endogenous explanatory variables." Empirical Economics 43, no. 2 (August 10, 2011): 475–98. http://dx.doi.org/10.1007/s00181-011-0493-9.

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33

Kim, Chang-Jin. "Time-varying parameter models with endogenous regressors." Economics Letters 91, no. 1 (April 2006): 21–26. http://dx.doi.org/10.1016/j.econlet.2005.10.007.

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34

Kim, Chang-Jin. "Markov-switching models with endogenous explanatory variables." Journal of Econometrics 122, no. 1 (September 2004): 127–36. http://dx.doi.org/10.1016/j.jeconom.2003.10.021.

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35

MALIAR, LILIA, and SERGUEI MALIAR. "ENDOGENOUS GROWTH AND ENDOGENOUS BUSINESS CYCLES." Macroeconomic Dynamics 8, no. 5 (November 2004): 559–81. http://dx.doi.org/10.1017/s1365100504040064.

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This paper presents a computable general equilibrium model of endogenous (stochastic) growth and cycles that can account for two key features of the aggregate data: balanced growth in the long run and business cycles in the short run. The model is built on Schumpeter's idea that economic development is the consequence of the periodic arrival of innovations. There is growth because each subsequent innovation leads to a permanent improvement in the production technology. Cycles arise because innovations trigger a reallocation of resources between production and R&D. The quantitative implications of the calibrated version of our model are very similar to those of Kydland and Prescott's (1982) model. Moreover, under some parameterizations, our model can correct two shortcomings of RBC models: It can account for the persistence in output growth and the asymmetry of growth within the business cycle.

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36

Terza, Joseph V. "Estimating count data models with endogenous switching: Sample selection and endogenous treatment effects." Journal of Econometrics 84, no. 1 (May 1998): 129–54. http://dx.doi.org/10.1016/s0304-4076(97)00082-1.

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37

Bratti, Massimiliano, and Alfonso Miranda. "Endogenous treatment effects for count data models with endogenous participation or sample selection." Health Economics 20, no. 9 (June 29, 2011): 1090–109. http://dx.doi.org/10.1002/hec.1764.

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38

Bhargava, Alok. "Identification and Panel Data Models with Endogenous Regressors." Review of Economic Studies 58, no. 1 (January 1991): 129. http://dx.doi.org/10.2307/2298050.

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39

Vella, Francis, and Marno Verbeek. "Estimating and Interpreting Models with Endogenous Treatment Effects." Journal of Business & Economic Statistics 17, no. 4 (October 1999): 473. http://dx.doi.org/10.2307/1392404.

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40

Chirwa, Themba G., and Nicholas M. Odhiambo. "Exogenous and Endogenous Growth Models: a Critical Review." Comparative Economic Research. Central and Eastern Europe 21, no. 4 (December 10, 2018): 63–84. http://dx.doi.org/10.2478/cer-2018-0027.

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The main divisions of the theoretical economic growth literature that we study today include exogenous and endogenous growth models that have transitioned through a number of notions and criticisms. Proponents of exogenous growth models argue that technological progress is the key determinant of long‑run economic growth as well as international productivity differences. Within the endogenous growth models, there are two notions that are propagated. The first postulates that capital used for innovative purposes can exhibit increasing returns to scale and thus account for the international productivity differences we observe today. The key determinants include knowledge, human capital, and research and development. The second argues that factors that affect the efficiency of capital, and hence cause capital flight, can also explain international productivity differences. These factors that affect the efficiency of capital include government spending, inflation, real exchange rates, and real interest rates. Our study results reveal that there is still no agreement on the dominant theoretical economic growth model amongst economists that can fully account for international productivity differences. We conclude that the future of theoretical economic growth is far from over and more work needs to be done to develop more practical structural economic growth models.

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41

Privileggi, Fabio. "Takeoff vs. stagnation in endogenous recombinant growth models." Mathematics and Computers in Simulation 108 (February 2015): 184–214. http://dx.doi.org/10.1016/j.matcom.2014.05.012.

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42

Liu, Xiaodong, and Paulo Saraiva. "GMM estimation of SAR models with endogenous regressors." Regional Science and Urban Economics 55 (November 2015): 68–79. http://dx.doi.org/10.1016/j.regsciurbeco.2015.09.002.

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43

KOBAYASHI, Kiyoshi, and Katsumi FUJITAKA. "Route choice models with endogenous rational expectations formation." Doboku Gakkai Ronbunshu, no. 458 (1993): 17–26. http://dx.doi.org/10.2208/jscej.1993.17.

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44

Spreen, Thomas H. "Price Endogenous Mathematical Programming Models and Trade Analysis." Journal of Agricultural and Applied Economics 38, no. 2 (August 2006): 249–53. http://dx.doi.org/10.1017/s1074070800022276.

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Takayama and Judge introduced the price endogenous mathematical programming model as an alternative to the traditional econometric approach to sector-level policy analysis. McCarl and Spreen provided a review of price endogenous mathematical programming models. In that paper, they showed how price endogeneity can be introduced into a standard firm-level linear programming model. The introduction of price endogeneity allows expansion of the firm-level specification to a market-level analysis. At the time of publication of McCarl and Spreen, however, the application of price endogenous mathematical programming models was limited by the availability of software packages that could directly solve such models. The typical application used linear supply and/or demand relationships, which resulted in a quadratic programming (QP) specification. The advent of MINOS in the 1980s and then its incorporation into GAMS has lifted the computation constraint. In the present day, numerous price endogenous models have been developed. I can lay claim to six such models.

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45

Vella, Francis, and Marno Verbeek. "Estimating and Interpreting Models With Endogenous Treatment Effects." Journal of Business & Economic Statistics 17, no. 4 (October 1999): 473–78. http://dx.doi.org/10.1080/07350015.1999.10524835.

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46

Pérez, Javier J., and Paul Hiebert. "Identifying endogenous fiscal policy rules for macroeconomic models." Journal of Policy Modeling 26, no. 8-9 (December 2004): 1073–89. http://dx.doi.org/10.1016/j.jpolmod.2004.07.004.

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47

Kang, Changhui, and Myoung-jae Lee. "Estimation of Binary Response Models With Endogenous Regressors." Pacific Economic Review 19, no. 4 (October 2014): 502–30. http://dx.doi.org/10.1111/1468-0106.12076.

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48

POWERS, DANIEL A. "Endogenous Switching Regression Models with Limited Dependent Variables." Sociological Methods & Research 22, no. 2 (November 1993): 248–73. http://dx.doi.org/10.1177/0049124193022002004.

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49

Hodes, Anastasia, Haim Rosen, Joseph Deutsch, Tzuri Lifschytz, Haim Einat, and David Lichtstein. "Endogenous cardiac steroids in animal models of mania." Bipolar Disorders 18, no. 5 (July 9, 2016): 451–59. http://dx.doi.org/10.1111/bdi.12413.

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50

Butter, Frank den, and Marjan W. Hofkes. "Endogenous technology and environmental quality in economic models." International Journal of Environmental Technology and Management 1, no. 1/2 (2001): 32. http://dx.doi.org/10.1504/ijetm.2001.000738.

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