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Journal articles on the topic 'The Solow model'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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1

Synenko, Oleksandr, Kateryna Yarema, and Yuliia Bezsmertna. "Solow economy model." Problems of Innovation and Investment Development, no. 21 (December 27, 2019): 150–57. http://dx.doi.org/10.33813/2224-1213.21.2019.15.

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The subject of the research is the approach to the possibility of using the Solow model to perform the regression analysis on the example of the Ukrainian economy model. The purpose of writing this article is to investigate the notion of regres- sion analysis, Solow’s economy model, algorithm for performing regression analy- sis on the example of Ukraine’s economy model. This model can be adapted for the economy of enterprises. Methodology. The research methodology is system-struc- tural and comparative analyzes (to study the structure of GDP); monograph (when studying methods of regression analysis on the example of the Ukrainian economy); economic analysis (when assessing the impact of factors on Ukraine’s GDP). The scientific novelty consists the features of the use of the Solow model on the ex- ample of Ukrainian economy are determined. An algorithm for calculating the basic parameters of a model using the Excel application package is disclosed. The main recommendations on the development of the national economy and economic growth through the use of macroeconomic instruments are given. Conclusions. The use of the Solow model enables forecasting and analysis. The results obtained re- vealed the problem of low resource return of capital as a resource, along with the means of macroeconomic regulation of the investment process, using which can improve the situation. A special place in these funds belongs to the accelerated depreciation and interest rate policies.

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2

Kulikov, D. A. "The generalized Solow model." Journal of Physics: Conference Series 1205 (April 2019): 012033. http://dx.doi.org/10.1088/1742-6596/1205/1/012033.

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3

Mixon, J. Wilson, and William D. Sockwell. "The Solow Growth Model." Journal of Economic Education 38, no. 4 (2007): 483. http://dx.doi.org/10.3200/jece.38.4.483.

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4

Brock, William A., and M. Scott Taylor. "The Green Solow model." Journal of Economic Growth 15, no. 2 (2010): 127–53. http://dx.doi.org/10.1007/s10887-010-9051-0.

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5

Durlauf, Steven N., Andros Kourtellos, and Artur Minkin. "The local Solow growth model." European Economic Review 45, no. 4-6 (2001): 928–40. http://dx.doi.org/10.1016/s0014-2921(01)00120-9.

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6

Cai, Donghan, Hui Ye, and Longfei Gu. "A Generalized Solow-Swan Model." Abstract and Applied Analysis 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/395089.

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We set up a generalized Solow-Swan model to study the exogenous impact of population, saving rate, technological change, and labor participation rate on economic growth. By introducing generalized exogenous variables into the classical Solow-Swan model, we obtain a nonautomatic differential equation. It is proved that the solution of the differential equation is asymptotically stable if the generalized exogenous variables converge and does not converge when one of the generalized exogenous variables persistently oscillates.

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7

Frisch, Helmut. "The Hahn-Solow macro model." Journal of Evolutionary Economics 9, no. 2 (1999): 265–70. http://dx.doi.org/10.1007/s001910050084.

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8

Dalgaard, Carl-Johan, and Holger Strulik. "The history augmented Solow model." European Economic Review 63 (October 2013): 134–49. http://dx.doi.org/10.1016/j.euroecorev.2013.07.001.

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9

Temple, J. "Equipment investment and the Solow model." Oxford Economic Papers 50, no. 1 (1998): 39–62. http://dx.doi.org/10.1093/oxfordjournals.oep.a028635.

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10

Rylova, A. A. "Taxation in the Ramsey–Solow Model." Journal of Mathematical Sciences 211, no. 6 (2015): 863–73. http://dx.doi.org/10.1007/s10958-015-2640-x.

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11

Tebaldi, Edinaldo, and Ramesh Mohan. "Institutions-augmented solow model and income clubs." A Economia em Revista - AERE 17, no. 2 (2011): 5. http://dx.doi.org/10.4025/aere.v17i2.13063.

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Growth economists still face major challenges and limitations to incorporate institutions into the standard growth framework. This article develops a simple institutions-augmented Solow growth model --that can be used in the classroom and for policy discussions --that accounts for the interactions between institutions and factor-productivity and examine the impacts of the quality of institutions on levels and growth rates of output. The institutions-augmented growth model shows that differences in the quality of institutions preclude income convergence and determine both the level and the growth rate of output per worker. The model also shows that poor institutions induce poverty traps. Furthermore, the income gap between rich and poor countries will not disappear if poor countries’ institutions do not improve relative to their rich counterpart.

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12

Brumm, Harold J. "The human capital augmented Solow model revisited." Applied Economics Letters 3, no. 11 (1996): 711–14. http://dx.doi.org/10.1080/135048596355718.

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13

Temple, Jonathan R. W. "Robustness tests of the augmented Solow model." Journal of Applied Econometrics 13, no. 4 (1998): 361–75. http://dx.doi.org/10.1002/(sici)1099-1255(199807/08)13:4<361::aid-jae483>3.0.co;2-1.

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14

Stein, Sheldon H. "A Beginner's Guide to the Solow Model." Journal of Economic Education 38, no. 2 (2007): 187–93. http://dx.doi.org/10.3200/jece.38.2.187-193.

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15

Nikonorov, Valentin Mikhailovich, and Igor Vasilyevich Ilyin. "Stochastic demand as an addition to the Solow Growth Model." Теоретическая и прикладная экономика, no. 2 (February 2021): 44–54. http://dx.doi.org/10.25136/2409-8647.2021.2.33336.

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The subject of this research is the Solow Growth Model. The relevance is substantiated by the fact that the Solow Growth Model is conceptually simple, and simultaneously it can be complicated with clarifications and additions. The authors believe that one of such clarification is consideration of the demand as a stochastic variable. The goal of this research is to propose a model that takes into account the random nature of consumer demand based on the Solow Growth Model. The article aims to examine the Solow Growth model; conduct a literature overview of the most common modifications of the model; analyze the well-known modifications and complications of the model; outline the methods of such modifications and complications; offer Solow Growth Model supplemented with microeconomic substantiation with consideration of the stochastic demand. The article employs the methods of analysis, synthesis, comparison, and differential calculus. The novelty lies in the statement&nbsp; that consumption depends on demand; it is intuitively obvious that demand can be considered as stochastic variable. This is explained by the individual traits of the consumers. Therefore, the demand can be described via stochastic differential equation based on the standard Wiener process (analogy with Brownian motion). The article offers a stochastic differential equation of demand. The Solow Growth Model is supplemented with the stochastic differential equation of demand. In conclusion, the authors determine the key modification and complication trends of the Solow Growth Model; developed the model based on the Solow Growth Model with the stochastic differential equation of demand as its addition. Further research should be aimed at solution of the obtained mathematical model supplemented with the stochastic differential equation of demand.

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16

Paudel, Ramesh Kumar. "Empirics of Solow growth model in Nepali economy." Management Dynamics 23, no. 1 (2020): 125–36. http://dx.doi.org/10.3126/md.v23i1.35567.

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Economic growth model developed by R. M. Solow explained the steady-state equilibrium in long run based on neoclassical production function with factor substitutions and diminishing returns in context of developed economy. As the nature of Nepali economy is different than developed economy, this paper aims to analyze economic growth of Nepal in the Solow growth model standard. Specifically, it aims to examine the effect of saving rate, labor growth and human capital on economic growth. On basis of steady-state equilibrium equation developed by Solow, regression equation is developed to find the effect of exogenous variables saving rate and labor growth rate on per capita GDP. Further, the model is extended by adding human capital as regressor. Data of 44 years of Nepali economy are used to analyze the model. Since time series of all the variables are stationary at first difference and they contain same stochastic trend, coefficients are estimated by using ordinary least square method. The analysis shows that the Solow model is applicable to Nepali economy as the predicted coefficients are very close to estimated coefficients. However, the estimated coefficients are very less than the predicted coefficients of the extended model. Furthermore, coefficient of labor growth rate is statistically insignificant in the extended model.

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17

Wulwick, Nancy J. "Kaldor's Growth Theory." Journal of the History of Economic Thought 14, no. 1 (1992): 36–54. http://dx.doi.org/10.1017/s1053837200004387.

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The last decade has seen an outburst of growth models designed to replace the conventional Solow growth model, with its exogenous trend of technical progress, by more realistic models that generate increasing returns (to labor, capital and/or scale) as a result of endogenous technical progress. In contrast to the Solow model, the new models suggest that policy interventions can affect the long-run rate of economic growth. Nicholas Kaldor's growth model, designed in the late 1950s and early 1960s to replace the Solow growth model, is a precursor of the new growth models.

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18

Clarke, Andrew J., and Alok Johri. "PROCYCLICAL SOLOW RESIDUALS WITHOUT TECHNOLOGY SHOCKS." Macroeconomic Dynamics 13, no. 3 (2009): 366–89. http://dx.doi.org/10.1017/s1365100509080043.

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Most real business cycle models have a hard time jointly explaining the twin facts of strongly procyclical Solow residuals and extremely low correlations between wages and hours. We present a model that delivers both these results without using exogenous variation in total factor productivity (technology shocks). The key innovation of the paper is to add learning-by-doing to firms' technology. As a result, firms optimally vary their prices to control the amount of learning, which in turn influences future productivity. We show that exogenous variation in labor wedges (preference shocks) measured from aggregate data deliver around 50% of the standard deviation in the efficiency wedge (Solow residual) as well as realistic second moments for key aggregate variables, which is in sharp contrast to the model without learning-by-doing.

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19

Hamilton, James D., and Josefina Monteagudo. "The augmented Solow model and the productivity slowdown." Journal of Monetary Economics 42, no. 3 (1998): 495–509. http://dx.doi.org/10.1016/s0304-3932(98)00036-1.

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20

Kufenko, Vadim, Klaus Prettner, and Vincent Geloso. "Divergence, convergence, and the history-augmented Solow model." Structural Change and Economic Dynamics 53 (June 2020): 62–76. http://dx.doi.org/10.1016/j.strueco.2019.12.008.

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21

Sorger, Gerhard. "Bubbles and cycles in the Solow–Swan model." Journal of Economics 127, no. 3 (2018): 193–221. http://dx.doi.org/10.1007/s00712-018-0638-9.

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22

Zhong, Yue, and Wenyi Huang. "Spatial Dynamics for a Generalized Solow Growth Model." Discrete Dynamics in Nature and Society 2018 (July 17, 2018): 1–8. http://dx.doi.org/10.1155/2018/6945032.

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The existence of nontrivial equilibrium and poverty traps for a generalized Solow growth model with concave and nonconcave production functions is investigated. The explicit solutions of the growth model, which is expressed by a differential equation with corresponding boundary conditions, are employed to illustrate the spatial dynamics of the model in different economic regions. Numerical method is used to justify the validity of the theoretical analysis.

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23

McAdam, P., and C. Allsopp. "The 50th Anniversary of the Solow Growth Model." Oxford Review of Economic Policy 23, no. 1 (2007): 1–2. http://dx.doi.org/10.1093/oxrep/grm006.

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24

Gulati, Harmeet Singh, and Deepinder Kaur. "Solow Model and Its Linkage with Harrod-Domar." International Journal of Mathematics Trends and Technology 45, no. 2 (2017): 71–78. http://dx.doi.org/10.14445/22315373/ijmtt-v45p512.

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25

Corchón, Luis C. "A Malthus-Swan-Solow model of economic growth." Journal of Dynamics and Games 3, no. 3 (2016): 225–30. http://dx.doi.org/10.3934/jdg.2016012.

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26

Cayssials, Gaston, and Santiago Picasso. "The Solow-Swan model with endogenous population growth." Journal of Dynamics & Games 7, no. 3 (2020): 197–208. http://dx.doi.org/10.3934/jdg.2020014.

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27

Nakamura, Hideki. "An Empirical Reexamination of the Solow Growth Model." Journal of the Japanese and International Economies 15, no. 3 (2001): 323–40. http://dx.doi.org/10.1006/jjie.2001.0471.

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28

Marsiglio, Simone. "Stochastic shocks in a two-sector Solow model." International Journal of Mathematical Modelling and Numerical Optimisation 3, no. 4 (2012): 313. http://dx.doi.org/10.1504/ijmmno.2012.049604.

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29

Fabião, Fátima, João Teixeira, and Maria João Borges. "Long cycles in a modified Solow growth model." Journal of Economic Interaction and Coordination 10, no. 2 (2014): 247–63. http://dx.doi.org/10.1007/s11403-013-0122-0.

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30

Gemmell, Norman. "Endogenous growth, the Solow model and human capital." Economics of Planning 28, no. 2-3 (1995): 169–83. http://dx.doi.org/10.1007/bf01263636.

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31

Brestovanská, Eva, and Milan Medveď. "Solow differential equations on time scales - A unified approach to continuous and discrete Solow growth model." Differential Equations & Applications, no. 4 (2013): 473–88. http://dx.doi.org/10.7153/dea-05-27.

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32

Boyko, A. A., V. V. Kukartsev, V. S. Tynchenko, D. V. Eremeev, A. V. Kukartsev, and S. V. Tynchenko. "Simulation-dynamic model of long-term economic growth using Solow model." Journal of Physics: Conference Series 1353 (November 2019): 012138. http://dx.doi.org/10.1088/1742-6596/1353/1/012138.

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33

Nkalu, Chigozie Nelson, Richardson Kojo Edeme, and Queen O. Chukwuma. "Testing the Validity of the Solow Growth Model: Empirical Evidence from Cross-Country Panel Data." American Economic & Social Review 3, no. 1 (2018): 18–22. http://dx.doi.org/10.46281/aesr.v3i1.197.

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This study seeks to test for the validity of the Solow growth model using cross-country panel data. Panel OLS analysis was adopted following an extensive review of recent and related literature with output-side of the real GDP as the dependent variable with other variables like population, capital stock and employment as the independent. However, population and capital stock are positively impacting the output with statistically significant value, while employment is not an important variable in the model even though it exhibits a negative and statistically significant effect to the output. In conclusion, the estimation result conforms the postulations of the basic Solow and augmented Solow growth model thereby validating the Solow model across-countries.

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34

Juchem Neto, João Plínio, Julio Cesar Ruiz Claeyssen, Daniele Ritelli, and Giovanni Mingari Scarpello. "Closed-Form Solution for the Solow Model with Constant Migration." TEMA (São Carlos) 16, no. 2 (2015): 147. http://dx.doi.org/10.5540/tema.2015.016.02.0147.

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In this work we deal with the Solow economic growth model, when the labor force is ruled by the Malthusian law added by a constant migration rate I. Considering a Cobb-Douglas production function, we prove some stability issues and find a closed-form solution for the emigration case, involving Gauss' Hypergeometric functions. In addition, we prove that, depending on the value of the emigration rate, the economy could collapse, stabilize at a constant level, or grow more slowly than the standard Solow model. Immigration also can be analyzed by the model if the Malthusian manpower is declining.

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35

Ozdemir, Dicle. "A Post-Keynesian Criticism of the Solow Growth Model." Journal of Economics, Business and Management 5, no. 3 (2017): 134–37. http://dx.doi.org/10.18178/joebm.2017.5.3.500.

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36

Antoci, Angelo, Paolo Russu, Serena Sordi, and Elisa Ticci. "Industrialization and environmental externalities in a Solow-type model." Journal of Economic Dynamics and Control 47 (October 2014): 211–24. http://dx.doi.org/10.1016/j.jedc.2014.08.009.

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37

Juchem Neto, João Plínio, and Julio Cesar Ruiz Claeyssen. "Capital-induced labor migration in a spatial Solow model." Journal of Economics 115, no. 1 (2014): 25–47. http://dx.doi.org/10.1007/s00712-014-0404-6.

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38

Zaslavski, Alexander J. "Optimal programs in the Robinson, Solow and Srinivasan model." International Journal of Economic Theory 1, no. 2 (2005): 151–65. http://dx.doi.org/10.1111/j.1742-7363.2005.00010.x.

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39

Hoeffler, Anke E. "The augmented Solow model and the African growth debate*." Oxford Bulletin of Economics and Statistics 64, no. 2 (2002): 135–58. http://dx.doi.org/10.1111/1468-0084.00016.

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40

Schenk-Hoppé, Klaus Reiner, and Björn Schmalfuß. "Random fixed points in a stochastic Solow growth model." Journal of Mathematical Economics 36, no. 1 (2001): 19–30. http://dx.doi.org/10.1016/s0304-4068(01)00062-3.

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41

Szydłowski, Marek, and Adam Krawiec. "A note on Kaleckian lags in the Solow model." Review of Political Economy 16, no. 4 (2004): 501–6. http://dx.doi.org/10.1080/0953825042000256711.

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42

Carstensen, Kai, Susanne Hartmann, and Erich Gundlach. "The Augmented Solow Model with Mincerian Schooling and Externalities." German Economic Review 10, no. 4 (2009): 448–63. http://dx.doi.org/10.1111/j.1468-0475.2009.00490.x.

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Abstract We combine the augmented Solow model with the Mincer equation to derive a specification that identifies an education externality within a production function framework. The previous empirical literature has not reached a consensus about the size of the education externality, which is given by the difference between the microeconomic and the macroeconomic return to education. Relative to our benchmark value that is based on a parameterization of the derived specification, we find that the estimated education externality is too large when the empirical model is not properly restricted, and appears to be absent when all control variables of the empirical model are properly accounted for. We note that the absence of an education externality is difficult to reconcile with observed levels of education subsidies for efficiency reasons.

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43

Jensen, Bjarne S. "Dynamic Extensions of the Solow Growth Model (1956): Editorial." German Economic Review 10, no. 4 (2009): 378–83. http://dx.doi.org/10.1111/j.1468-0475.2009.00493.x.

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44

Dohtani, Akitaka. "A growth-cycle model of Solow–Swan type, I." Journal of Economic Behavior & Organization 76, no. 2 (2010): 428–44. http://dx.doi.org/10.1016/j.jebo.2010.07.006.

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45

Khan, M. Ali, and Tapan Mitra. "On topological chaos in the Robinson–Solow–Srinivasan model." Economics Letters 88, no. 1 (2005): 127–33. http://dx.doi.org/10.1016/j.econlet.2005.02.002.

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46

Zhang, Wei-Bin. "A Discrete Monetary Economic Growth Model with the MIU Approach." Discrete Dynamics in Nature and Society 2008 (2008): 1–14. http://dx.doi.org/10.1155/2008/435787.

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This paper proposes an alternative approach to economic growth with money. The production side is the same as the Solow model, the Ramsey model, and the Tobin model. But we deal with behavior of consumers differently from the traditional approaches. The model is influenced by the money-in-the-utility (MIU) approach in monetary economics. It provides a mechanism of endogenous saving which the Solow model lacks and avoids the assumption of adding up utility over a period of time upon which the Ramsey approach is based.

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47

Zhang, Wei-Bin. "Cournot-Nash Equilibrium and Perfect Competition in the Solow-Uzawa Growth Model." Revista CEA 7, no. 15 (2021): e1801. http://dx.doi.org/10.22430/24223182.1801.

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The purpose of this study is to contribute to economic growth theory by introducing Cournot competition into the Solow-Uzawa neoclassical growth model with Zhang’s concept of disposable income and utility function. The Solow-Uzawa two-sector growth model deals with economic growth with two sectors with all the markets perfectly competitive. The final goods sector in this study is the same as that in the Solow model with perfect competition. The consumer goods sector is composed of two firms and characterized by Cournot competition. All the input factors are traded in perfectly competitive markets. The duopoly’s product is solely consumed by consumers. Perfectly competitive firms earn zero profit, while duopolists earn positive profits. This study assumes that the population shares the profits equally. First, we built the dynamic model. Afterward, we found a computational procedure to describe the time-dependent path of the economy and conducted comparative dynamic analyses of some parameters. Finally, we compared the economic performances of the model with Cournot competition and the perfectly competitive model.

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48

Okada, Toshihiro. "What Does the Solow Model Tell Us about Economic Growth?" Contributions in Macroeconomics 6, no. 1 (2006): 1–30. http://dx.doi.org/10.2202/1534-6005.1228.

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49

Ferrara, Massimiliano, Luca Guerrini, and Mauro Sodini. "Stability and nonlinear dynamics in a Solow model with pollution." Nonlinear Analysis: Modelling and Control 19, no. 4 (2014): 565–77. http://dx.doi.org/10.15388/na.2014.4.3.

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50

Khan, M. Ali, and Alexander J. Zaslavski. "On locally optimal programs in the Robinson–Solow–Srinivasan model." Journal of Economics 99, no. 1 (2009): 65–92. http://dx.doi.org/10.1007/s00712-009-0102-y.

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