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Libros sobre el tema "Production function estimation"

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Publicado: 1 de junio de 2024

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1

Ray, Amit Shovon. Drivers of academic research and patenting in India: Econometric estimation of the research production function. New Delhi: Indian Council for Research on International Economic Relations, 2010.

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2

Hellerstein, Judith K. Production function and wage equation estimation with heterogeneous labor: Evidence from a new matched employer-employee data set. Cambridge, MA: National Bureau of Economic Research, 2004.

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3

Hagŏp sŏngch'wido punsŏk ŭl t'onghan ch'ojungdŭng kyoyuk ŭi kaesŏn panghyang yŏn'gu: Estimation of education production function focusing on school effects and policy directions for primary and secondary education. Sŏul T'ŭkpyŏlsi: Han'guk Kaebal Yŏn'guwŏn, 2012.

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4

Harrigan, James. Estimation of cross-country differences in industry production functions. [New York, N.Y.]: Federal Reserve Bank of New York, 1998.

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5

Harrigan, James. Estimation of cross-country differences in industry production functions. [New York]: Federal Reserve Bank of New York, 1997.

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6

Harrigan, James. Estimation of cross-country differences in industry production functions. Cambridge, MA: National Bureau of Economic Research, 1997.

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7

Field, K. F. Estimation of direct and indirect production functions: An example from Indian paddy production. Glasgow: Dept. of Economics, Univ. of Strathclyde, 1986.

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8

Field, K. F. An estimation of direct and indirect production functions: An example from Indian paddy production. Glasgow: Department of Economics, University of Strathclyde, 1986.

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9

Levinsohn, James Alan. Estimating production functions using inputs to control for unobservables. Cambridge, MA: National Bureau of Economic Research, 2000.

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10

Sengupta, Jatikumar. Efficiency analysis by production frontiers: The nonparametric approach. Dordrecht: Kluwer Academic, 1989.

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11

Holzner, Christian. Search equilibrium, production parameters and social returns to education: Theory and estimation. Bonn, Germany: IZA, 2005.

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12

Kassouf, Ana Lucia. Estimation of health demand and health production functions for children in Brazil. St. Paul, Minn: Center for International Food and Agricultural Policy, University of Minnesota, 1993.

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13

Wolak, Frank A. Identification and estimation of cost functions using observed bid data: An application to electricity markets. Cambridge, MA: National Bureau of Economic Research, 2001.

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14

Fuss, Melvyn A. Heteroskedasticity-consistent estimation of the variance-covariance matrix for the almost ideal demand system. Toronto: University of Toronto, 1989.

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15

Soloaga, Isidro. The treatment of non-essential inputs in a Cobb-Douglas technology: An application to Mexican rural household level data. Washington, DC: World Bank, Development Research Group, Trade, 2000.

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16

E, Reichman Nancy y National Bureau of Economic Research., eds. Typically unobserved variables (TUVs) and selection into prenatal inputs: Implications for estimating infant health production functions. Cambridge, Mass: National Bureau of Economic Research, 2006.

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17

Conlon, John R. Inputs, environment, and production function estimation. 1989.

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18

Aizcorbe, Ana M. The competitiveness of U.S. automobile firms: A neoclassical cost function estimation of the production costs of U.S. and Japanese firms. 1986.

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19

Hasenkamp, G. Specification and Estimation of Multiple-Output Production Functions. Springer London, Limited, 2012.

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20

Epstein, Natan P. y Corrado Macchiarelli. Estimating Poland's Potential Output: A Production Function Approach. International Monetary Fund, 2010.

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21

Epstein, Natan P. y Corrado Macchiarelli. Estimating Poland's Potential Output: A Production Function Approach. International Monetary Fund, 2010.

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22

Epstein, Natan P. y Corrado Macchiarelli. Estimating Poland's Potential Output: A Production Function Approach. International Monetary Fund, 2010.

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23

Biddle, Jeff E. Progress Through Regression: Estimating the Production Function, 1927-1965. University of Cambridge ESOL Examinations, 2020.

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24

Bhide, S. Estimation and analysis of beef gain roughage-concentrate production functions.. 1990.

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25

Balassone, Fabrizio, Maura Francese y Angelo Pace. Public Debt and Economic Growth. Editado por Gianni Toniolo. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199936694.013.0018.

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This chapter investigates the link between the government debt-to-GDP ratio and real per capita income growth in Italy over 1861-2007. By estimation of a standard production function, we find support for the hypotheses of a negative relation between the two variables which appears to work mainly through reduced investment. A descriptive analysis of fiscal policy in 1880-1914 (when the negative correlation between the two variables is particularly strong) and 1985-2007 (when the correlation appears to break down when debt starts declining) suggests that differences in the timing of fiscal consolidation, as well as in the size and composition of the budget, are additional significant explanatory factors.
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26

Stanig, Piero. Considerations on the Method of Constructing Governance Indices. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198817062.003.0006.

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Seemingly technical decisions about estimation are highly consequential in terms of results and interpretation of composite indices of governance. This chapter argues that the choice of the aggregation rule defines an iso-governance curve or, alternatively, a governance production function. Iso-governance curves are loaded with substance. Hence, it might be desirable to pay attention to theory when designing methodology to arrive at a composite index of governance. The chapter also suggests that discrete methods of classification hold some promise for projects that aim at measuring governance. In this case, empirical exercises would isolate ‘syndromes of governance’ rather than rank countries from best to worst performer. The chapter concludes with some considerations about the role of governance indices in state-of-the-art political science and political economy.
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