Package estprod. May 2, 2018
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1 Title Estimation of Production Functions Version 1.1 Date Package estprod May 2, 2018 Estimation of production functions by the Olley-Pakes, Levinsohn- Petrin and Wooldrge methodologies. The package aims to reproduce the results obtained with the Stata's user written opreg < and levpet < commands. The first was originally proposed by Olley, G.S. and Pakes, A. (1996) <doi: / >. The second by Levinsohn, J. and Petrin, A. (2003) <doi: / x.00246>. And the third by Wooldrge (2009) <doi.org/ /j.econlet >. Depends R (>= 3.0) License GPL-3 Encoding UTF-8 LazyData true RoxygenNote Imports lazyeval, boot, minpack.lm, Formula, gmm NeedsCompilation no Author Rodrigo R Remédio [aut, cre] Maintainer Rodrigo R Remédio <rremedio@hotmail.com> Repository CRAN Date/Publication :12:47 UTC R topics documented: estprod_data interactions levinsohn_petrin olley_pakes panel_lag poly_elements wooldrge
2 2 interactions Index 7 estprod_data randomly generated variables in panel data format randomly generated variables in panel data format. estprod_data Format A data frame with rows and 10 variables: Identifies the 1000 randomly generated indivuals. year The year associated to each indivual observation. g1 Put indivuals in 25 groups. g2 Put indivuals in 50 groups. var1 Randomly generated variable. var2 Randomly generated variable. var3 Randomly generated variable. var4 Randomly generated variable. var5 Randomly generated variable. exit The last year an appears. interactions Total number of poly elements. This function aims calculates the total number of terms of a polynomial interactions. interactions(n, d) n d The number of variables. Degreess of the polynomial interaction.
3 levinsohn_petrin 3 levinsohn_petrin Levinsohn-Petrin Estimation of Production Functions This function aims the estimation of production functions using Levinsohn-Petrin (2000). levinsohn_petrin(data, formula = y ~ free capital proxy controls, exit = NULL, gross = FALSE, = "", = "year", bootstrap = TRUE, reps = 2, degree = c(3, 3), = TRUE, maxiter = 100,...) data formula exit gross bootstrap reps Details degree maxiter A data.frame or tibble containing the variables of the model. An object of the class formula. An optional formula with the name of the variabe indicator of firm s last period. ~exit, for example. If TRUE dependent variable is gross output. An optional logical. If TRUE calculate bootstrap standard errors. The number of bootstrap replications. A vector with the number of polynomial interactions in each stage of the routine. Verify if inputs are sorted. Parameter of nls.lm at second stage.... Additional arguments. Multipart formula must be specified in the following order: y ~ free capital proxy controls. Additional controls are optional. It is possible to use more than one variable, although the use of more than one capital may not be theoretically entified. The function returns an object of the estprod or boot classes (if bootstrap is TRUE). Examples data(estprod_data) levinsohn_petrin(data = estprod_data, var1 ~ var2 var3 var4, exit = ~exit, = "", = "year", bootstrap = TRUE)
4 4 olley_pakes olley_pakes Olley-Pakes Estimation of Production Functions This function aims the estimation of production functions using Olley-Pakes (1996). olley_pakes(data, formula = y ~ free capital proxy controls, exit = NULL, = "", = "year", bootstrap = TRUE, reps = 2, degree = c(3, 2), = TRUE, maxiter = 100,...) data formula exit bootstrap reps degree maxiter A data.frame or tibble containing the variables of the model. An object of the class formula. An optional formula with the name of the variabe indicator of firm s last period. ~exit, for example. An optional logical. If TRUE calculate bootstrap standard errors. The number of bootstrap replications. A vector with the number of the polynomial interactions in each stage of the routine. Verify if inputs are sorted. Parameter of nls.lm at second stage.... Additional arguments. Details Multipart formula must be specified in the following order: y ~ free capital proxy controls. Additional controls are optional. It is possible to use more than one variable, although the use of more than one capital may not be theoretically entified. The function returns an object of the estprod or boot classes (if bootstrap is TRUE). Examples data(estprod_data) olley_pakes(data = estprod_data, var1 ~ var2 var3 var4, exit = ~exit, = "", = "year", bootstrap = TRUE)
5 panel_lag 5 panel_lag Panel data lag function This function aims create the lags of a specified variable from panel data. panel_lag(x,,, lag = 1, = TRUE) x lag A vector, data.frame, tibble or matrix. Number of lags. Check if panel is sorted by and variables. Note Based on Paul Schrimpf s lag function. poly_elements Number of poly elements. This function aims calculate the number of terms of a polynomial interactions. poly_elements(n, d) n d The number of variables. Degreess of polynomial interaction.
6 6 wooldrge wooldrge Wooldrge Estimation of Production Functions (Cobb-Douglas) This function aims the estimation of Cobb-Douglas production functions using Wooldrge (2009) method. wooldrge(data, formula = y ~ free capital proxy controls, gross = FALSE, = "", = "year", bootstrap = FALSE, reps = 2, degree = c(3, 2), = TRUE,...) data formula gross bootstrap reps Details degree A data.frame or tibble containing the variables of the model. An object of the class formula. If TRUE dependent variable is gross output. An optional logical. If TRUE calculate bootstrap standard errors. The number of bootstrap replications. A vector with the number of the polynomial interactions in each stage of the routine. Verify if inputs are sorted.... Additional arguments. Multipart formula must be specified in the following order: y ~ free capital proxy controls. Additional controls are optional. It is possible to use more than one variable, although the use of more than one capital may not be theoretically entified. The function returns an object of the estprod or boot classes (if bootstrap is TRUE). Examples data(estprod_data) wooldrge(data = estprod_data, var1 ~ var2 var3 var4, = "", = "year", bootstrap = TRUE)
7 Index Topic datasets estprod_data, 2 estprod_data, 2 formula, 3, 4, 6 interactions, 2 levinsohn_petrin, 3 olley_pakes, 4 panel_lag, 5 poly_elements, 5 wooldrge, 6 7
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