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R/datasets.R
In micsr: Microeconometrics with R
#' Cigarette smoking and birth weight
#' @name birthwt
#' @docType data
#' @keywords dataset
#' @description a cross-section of 1388 individuals from 1988
#' @format a tibble containing:
#' - birthwt: birth weight
#' - cigarettes: number of cigarettes smoked per day during pregnancy
#' - parity: birth order
#' - race: a factor with levels `"other"` and `"white"`
#' - sex: a factor with levels `"female"` and `"male"`
#' - edmother: number of years of education of the mother
#' - edfather: number of years of education of the father
#' - faminc: family income
#' - cigtax: per-pack state excise tax on cigarettes
#' @source kindly provided by John Mullahy
#' @references
#' \insertRef{MULL:97}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Intergenerational transmission of charitable giving
#' @name charitable
#' @docType data
#' @keywords dataset
#' @description a cross-section of 2384 households from 2001
#' @format a tibble containing:
#' - donation: the amount of charitable giving
#' - donparents: the amount of charitable giving of the parents
#' - education: the level of education of household's head, a factor with levels `"less_high_school"`, `"high_school"`, `"some_college"`, `"college"`, `"post_college"`
#' - religion: a factor with levels `"none"`, `"catholic"`, `"protestant"`, `"jewish"` and `"other"`
#' - income: income
#' - married: a dummy for married couples
#' - south: a dummy for households living in the south
#' @source kindly provided by Mark Ottoni Wilhelm.
#' @references
#' \insertRef{WILH:08}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Cigarette smoking behaviour
#' @name cigmales
#' @docType data
#' @keywords dataset
#' @description a cross-section of 6160 individuals from 1979 to 1980
#' @format a tibble containing:
#' - cigarettes: number of daily cigarettes smoked
#' - habit: smoking habit stock measure
#' - price: state-level average per-pack price of cigarettes in 1979
#' - restaurant: an indicator of whether the individual's state of residence had restrictions on smoking in restaurants in place in 1979
#' - income: family income in thousands
#' - age: age in years
#' - educ: schooling in years
#' - famsize: number of family members
#' - race: a factor with levels `"other"` and `"white"`
#' - reslgth: number of years the state's restaurant smoking restrictions had been in place in 1979
#' - lagprice: one-year lag of cigarette price
#' @source kindly provided by John Mullahy
#' @references
#' \insertRef{MULL:97}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Physician advice on alcohol consumption
#' @name drinks
#' @docType data
#' @keywords dataset
#' @description a cross-section of 2467 individuals from 1990
#' @format a tibble containing:
#' - drinks: number of drinks in the past 2 weeks
#' - advice: 1 if reveived a drining advice
#' - age: age in 10 years cathegories
#' - race: a factor with levels `"white"`, `"black"` and `"other"`
#' - marital: marital status, one of `"single"`, `"married"`, `"widow"`, `"separated"`
#' - region: one of `"west"`, `"northeast"`, `"midwest"` and `"south"`
#' - empstatus: one of `"other"`, `"emp"` and `"unemp"`
#' - limits: limits on daily activities, one of `"none"`, `"some"` and `"major"`
#' - income: monthly income ($1000)
#' - educ: education in years
#' - medicare: insurance through medicare
#' - medicaid: insurance through medicaid
#' - champus: military insurance
#' - hlthins: health insurance
#' - regmed: regoular source of care
#' - dri: see same doctor
#' - diabete: have diabetes
#' - hearthcond: have heart condition
#' - stroke: have stroke
#' @source JAE data archive
#' @references
#' \insertRef{KENK:TERZ:01}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Foreign exchange derivatives use by large US bank holding companies
#' @name federiv
#' @docType data
#' @keywords dataset
#' @description a cross-section of 794 banks from 1996 to 2000
#' @format a tibble containing:
#' - federiv: foreign exchange derivatives use, a dummy
#' - optval: option awards
#' - eqrat: leverage
#' - bonus: bonus
#' - ltass: logarithm of total assets
#' - linsown: logarithm of the percentage of the total shares outstanding that are owned by officers and directors
#' - linstown: logarithm of the percentage of the total shares outstanding that are owned by all institutional investors
#' - roe: return on equity
#' - mktbk: market to book ratio
#' - perfor: foreign to total interest income ratio
#' - dealdum: derivative dealer activity dummy
#' - div: dividends paid
#' - year: year, from 1996 to 2000
#' - no_emp: number of employees
#' - no_subs: number of subsidiaries
#' - no_off: number of offices
#' - ceo_age: CEO age
#' - gap: 12 month maturity mismatch
#' - cfa: ratio of cash flow to total assets
#' @source Lee Adkin's home page \url{https://learneconometrics.com/}
#' @references
#' \insertRef{ADKI:12}{micsr}
#'
#' \insertRef{ADKI:CART:SIMP:07}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Political economy of financial reforms
#' @name fin_reform
#' @docType data
#' @keywords dataset
#' @description a pseudo-panel of 35 countries from 1973 to 1996
#' @format a tibble containing:
#' - country: the country id
#' - year: the year
#' - region: the region
#' - pol: political orientation of the government
#' - fli: degree of policy liberalization index (from 0 to 18)
#' - yofc: year of office
#' - gdpg: growth rate of the gdp
#' - infl: inflation rate
#' - bop: balance of payments crises
#' - bank: banking crises
#' - imf: IMF program dummy
#' - usint: international interest rates
#' - open: trade openess
#' - dindx: difference of the inflation rate
#' - indx: inflation rate divided by 18
#' - indxl: lag value of indx
#' - rhs1: indxl * (1 - indxl)
#' - max_indxl: maximumum value of indxl by year and region
#' - catchup: difference between max_indxl and indxl
#' - dum_bop: balance of paiement crisis in the first two previous years
#' - dum_bank: bank crises in the first two previous years
#' - dum_1yofc: dummy for first year of office
#' - recession: dummy for recessions
#' - hinfl: dummy for inflation rate greater than 50 percent
#' @source AEA website
#' @references
#' \insertRef{ABIA:MODY:05}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Household Production
#' @name housprod
#' @docType data
#' @keywords dataset
#' @description a cross-section of 819 households from 1984
#' @format a tibble containing:
#' - mjob: dummy, 1 if male has paid job
#' - fjob: dummy, 1 if female has paid job
#' - mtime: home production time male (minutes per day)
#' - ftime: home production time female (minutes per day)
#' - mwage: net hourly wage rate male (estimate imputed if mjob=0)
#' - fwage: net hourly wage rate female (estimate imputed if fjob=0)
#' - mage: age male
#' - meduc: years of schooling male
#' - fage: age female
#' - feduc: years of schooling female
#' - owner: dummy, 1 if houseownwers
#' - fsize: family size
#' - ychild: number of children younger than 7 years old in the household
#' - cars: number of cars in the household
#' - nonlabinc: non-labour income (in units of 1000 Swedish Kronor)
#' @source JAE data archive
#' @references
#' \insertRef{KERK:KOOR:03}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Choice between car and transit
#' @name mode_choice
#' @docType data
#' @keywords dataset
#' @description a cross-section of 842 individuals
#' @format a tibble containing:
#' - mode: 1 for car, 0 for transit
#' - cost: transit fare minus automobile travel cost in US$
#' - ivtime: transit in-vehicule travel time minus in-vehicule travel time (minutes)
#' - ovtime: transit out-of vehicule time minus out-of vehicule travel time (minutes)
#' - cars: number of cars owned by the traveler's household
#' @source GAMS's website \url{https://www.gams.com/latest/gamslib_ml/libhtml/gamslib_mws.html}
#' @references
#' \insertRef{HORO:93}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Lobying from Capitalists and Unions and Trade Protection
#' @name trade_protection
#' @docType data
#' @keywords dataset
#' @description a cross-section of 194 United States
#' @format a tibble containing:
#' - ntb: nontariff barrier coverage ratio
#' - vshipped: value of shipments
#' - imports: importations
#' - elast: demand elasticity
#' - cap: lobying
#' - labvar: labor market covariate
#' - sic3: 3-digit SIC industry classification
#' - k_serv: physical capital, factor share
#' - inv: Inventories, factor share
#' - engsci: engineers and scientists, factor share
#' - whitecol: white collar, factor share
#' - skill: skilled, factor share
#' - semskill: semi-skilled, factor share
#' - cropland: cropland, factor shaer
#' - pasture: pasture, factor share
#' - forest: forest, factor share
#' - coal: coal, factor share
#' - petro: petroleum, factor share
#' - minerals: minerals, factor share
#' - scrconc: seller concentration
#' - bcrconc: buyer concentration
#' - scrcomp: seller number of firms
#' - bcrcomp: buyer number of firms
#' - meps: scale
#' - kstock: capital stock
#' - puni: proportion of workers union
#' - geog2: geographic concentration
#' - tenure: average worker tenure, years
#' - klratio: capital-labor ratio
#' - bunion:
#' @source American Economic Association Data Archive : \url{https://www.aeaweb.org/aer/}
#' @references
#' \insertRef{MATS:SHER:06}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Determinants of household trip taking
#' @name trips
#' @docType data
#' @keywords dataset
#' @description a cross-section of 577 households from 1978
#' @format a tibble containing:
#' - trips: number of trips taken by a member of a household the day prior the survey interview
#' - car: 1 if household owns at least one motorized vehicule
#' - workschl: share of trips for work or school vs personal business or pleasure
#' - size: number of individuals in the household
#' - dist: distance to central business district in kilometers
#' - smsa: a factor with levels `"small"` (less than 2.5 million population) and `"large"` (more than 2.5 million population)
#' - fulltime: number of fulltime workers in household
#' - adults: number of adults in household
#' - distnod: distace from home to nearest transit node, in blocks
#' - realinc: household income divided by median income of census tract in which household resides
#' - weekend: 1 if the survey period is either saturday or sunday
#' @source kindly provided by Joseph Terza
#' @references
#' \insertRef{TERZ:98}{micsr}
#'
#' \insertRef{TERZ:WILS:90}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Temporary help jobs and permanent employment
#' @name twa
#' @docType data
#' @keywords dataset
#' @description a cross-section of 2030 individuals
#' @format a tibble containing:
#' - id: identification code
#' - age: age
#' - sex: a factor with levels `"female"` and `"male"`
#' - marital: marital status, `"married"` or `"single"`
#' - children: number of children
#' - feduc: father's education
#' - fbluecol: father blue-color
#' - femp: father employed at time 1
#' - educ: years of education
#' - pvoto: mark in last degree as fraction of max mark
#' - training: received professional training before treatment
#' - dist: distance from nearest agency
#' - nyu: fraction of school-to-work without employment
#' - hour: weekly hours of work
#' - wage: monthly wage
#' - hwage: hourly wage at time 1
#' - contact: contacted a temporary work agency
#' - region: one of `"Tuscany"` and `"Sicily"`
#' - city: the city
#' - group: one of `"control"` and `"treated"`
#' - sector: the sector
#' - occup: occupation, one of `"nojob"`, `"selfemp"`, `"bluecol"` and `"whitecol"`
#' - empstat: employment status, one of `"empl"`, `"unemp"` and `"olf"` (out of labor force)
#' - contract: job contract, one of `"nojob"`, `"atyp"` (atypical) and `"perm"` (permanent)
#' - loc: localisation, one of `"nord"`, `"centro"`, `"sud"` and `"estero"`
#' - outcome: one of `"none"`, `"other"`, `"fterm"` and `"perm"`
#' @source Journal of Applied Econometrics Data Archive : \url{http://qed.econ.queensu.ca/jae/}
#' @references
#' \insertRef{ICHI:MEAL:NANN:08}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Apple production
#' @name apples
#' @docType data
#' @keywords dataset
#' @description yearly observations of 173 farms from 1984 to 1986
#' @format a tibble containing:
#' - id: farm's id
#' - year: year
#' - capital: capital stock
#' - labor: quantity of labor
#' - materials: quantity of materials
#' - apples: production of apples
#' - otherprod: other productions
#' - pc: price of capital
#' - pl: price of labor
#' - pm: price of materials
#' @source Journal of Applied Econometrics Data Archive : \url{http://qed.econ.queensu.ca/jae/}
#' @references
#' \insertRef{IVAL:LADO:OSSA:SIMI:96}{micsr}
#' @importFrom Rdpack reprompt
NULL
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#' Cigarette smoking and birth weight
#' @name birthwt
#' @docType data
#' @keywords dataset
#' @description a cross-section of 1388 individuals from 1988
#' @format a tibble containing:
#' - birthwt: birth weight
#' - cigarettes: number of cigarettes smoked per day during pregnancy
#' - parity: birth order
#' - race: a factor with levels `"other"` and `"white"`
#' - sex: a factor with levels `"female"` and `"male"`
#' - edmother: number of years of education of the mother
#' - edfather: number of years of education of the father
#' - faminc: family income
#' - cigtax: per-pack state excise tax on cigarettes
#' @source kindly provided by John Mullahy
#' @references
#' \insertRef{MULL:97}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Intergenerational transmission of charitable giving
#' @name charitable
#' @docType data
#' @keywords dataset
#' @description a cross-section of 2384 households from 2001
#' @format a tibble containing:
#' - donation: the amount of charitable giving
#' - donparents: the amount of charitable giving of the parents
#' - education: the level of education of household's head, a factor with levels `"less_high_school"`, `"high_school"`, `"some_college"`, `"college"`, `"post_college"`
#' - religion: a factor with levels `"none"`, `"catholic"`, `"protestant"`, `"jewish"` and `"other"`
#' - income: income
#' - married: a dummy for married couples
#' - south: a dummy for households living in the south
#' @source kindly provided by Mark Ottoni Wilhelm.
#' @references
#' \insertRef{WILH:08}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Cigarette smoking behaviour
#' @name cigmales
#' @docType data
#' @keywords dataset
#' @description a cross-section of 6160 individuals from 1979 to 1980
#' @format a tibble containing:
#' - cigarettes: number of daily cigarettes smoked
#' - habit: smoking habit stock measure
#' - price: state-level average per-pack price of cigarettes in 1979
#' - restaurant: an indicator of whether the individual's state of residence had restrictions on smoking in restaurants in place in 1979
#' - income: family income in thousands
#' - age: age in years
#' - educ: schooling in years
#' - famsize: number of family members
#' - race: a factor with levels `"other"` and `"white"`
#' - reslgth: number of years the state's restaurant smoking restrictions had been in place in 1979
#' - lagprice: one-year lag of cigarette price
#' @source kindly provided by John Mullahy
#' @references
#' \insertRef{MULL:97}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Physician advice on alcohol consumption
#' @name drinks
#' @docType data
#' @keywords dataset
#' @description a cross-section of 2467 individuals from 1990
#' @format a tibble containing:
#' - drinks: number of drinks in the past 2 weeks
#' - advice: 1 if reveived a drining advice
#' - age: age in 10 years cathegories
#' - race: a factor with levels `"white"`, `"black"` and `"other"`
#' - marital: marital status, one of `"single"`, `"married"`, `"widow"`, `"separated"`
#' - region: one of `"west"`, `"northeast"`, `"midwest"` and `"south"`
#' - empstatus: one of `"other"`, `"emp"` and `"unemp"`
#' - limits: limits on daily activities, one of `"none"`, `"some"` and `"major"`
#' - income: monthly income ($1000)
#' - educ: education in years
#' - medicare: insurance through medicare
#' - medicaid: insurance through medicaid
#' - champus: military insurance
#' - hlthins: health insurance
#' - regmed: regoular source of care
#' - dri: see same doctor
#' - diabete: have diabetes
#' - hearthcond: have heart condition
#' - stroke: have stroke
#' @source JAE data archive
#' @references
#' \insertRef{KENK:TERZ:01}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Foreign exchange derivatives use by large US bank holding companies
#' @name federiv
#' @docType data
#' @keywords dataset
#' @description a cross-section of 794 banks from 1996 to 2000
#' @format a tibble containing:
#' - federiv: foreign exchange derivatives use, a dummy
#' - optval: option awards
#' - eqrat: leverage
#' - bonus: bonus
#' - ltass: logarithm of total assets
#' - linsown: logarithm of the percentage of the total shares outstanding that are owned by officers and directors
#' - linstown: logarithm of the percentage of the total shares outstanding that are owned by all institutional investors
#' - roe: return on equity
#' - mktbk: market to book ratio
#' - perfor: foreign to total interest income ratio
#' - dealdum: derivative dealer activity dummy
#' - div: dividends paid
#' - year: year, from 1996 to 2000
#' - no_emp: number of employees
#' - no_subs: number of subsidiaries
#' - no_off: number of offices
#' - ceo_age: CEO age
#' - gap: 12 month maturity mismatch
#' - cfa: ratio of cash flow to total assets
#' @source Lee Adkin's home page \url{https://learneconometrics.com/}
#' @references
#' \insertRef{ADKI:12}{micsr}
#'
#' \insertRef{ADKI:CART:SIMP:07}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Political economy of financial reforms
#' @name fin_reform
#' @docType data
#' @keywords dataset
#' @description a pseudo-panel of 35 countries from 1973 to 1996
#' @format a tibble containing:
#' - country: the country id
#' - year: the year
#' - region: the region
#' - pol: political orientation of the government
#' - fli: degree of policy liberalization index (from 0 to 18)
#' - yofc: year of office
#' - gdpg: growth rate of the gdp
#' - infl: inflation rate
#' - bop: balance of payments crises
#' - bank: banking crises
#' - imf: IMF program dummy
#' - usint: international interest rates
#' - open: trade openess
#' - dindx: difference of the inflation rate
#' - indx: inflation rate divided by 18
#' - indxl: lag value of indx
#' - rhs1: indxl * (1 - indxl)
#' - max_indxl: maximumum value of indxl by year and region
#' - catchup: difference between max_indxl and indxl
#' - dum_bop: balance of paiement crisis in the first two previous years
#' - dum_bank: bank crises in the first two previous years
#' - dum_1yofc: dummy for first year of office
#' - recession: dummy for recessions
#' - hinfl: dummy for inflation rate greater than 50 percent
#' @source AEA website
#' @references
#' \insertRef{ABIA:MODY:05}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Household Production
#' @name housprod
#' @docType data
#' @keywords dataset
#' @description a cross-section of 819 households from 1984
#' @format a tibble containing:
#' - mjob: dummy, 1 if male has paid job
#' - fjob: dummy, 1 if female has paid job
#' - mtime: home production time male (minutes per day)
#' - ftime: home production time female (minutes per day)
#' - mwage: net hourly wage rate male (estimate imputed if mjob=0)
#' - fwage: net hourly wage rate female (estimate imputed if fjob=0)
#' - mage: age male
#' - meduc: years of schooling male
#' - fage: age female
#' - feduc: years of schooling female
#' - owner: dummy, 1 if houseownwers
#' - fsize: family size
#' - ychild: number of children younger than 7 years old in the household
#' - cars: number of cars in the household
#' - nonlabinc: non-labour income (in units of 1000 Swedish Kronor)
#' @source JAE data archive
#' @references
#' \insertRef{KERK:KOOR:03}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Choice between car and transit
#' @name mode_choice
#' @docType data
#' @keywords dataset
#' @description a cross-section of 842 individuals
#' @format a tibble containing:
#' - mode: 1 for car, 0 for transit
#' - cost: transit fare minus automobile travel cost in US$
#' - ivtime: transit in-vehicule travel time minus in-vehicule travel time (minutes)
#' - ovtime: transit out-of vehicule time minus out-of vehicule travel time (minutes)
#' - cars: number of cars owned by the traveler's household
#' @source GAMS's website \url{https://www.gams.com/latest/gamslib_ml/libhtml/gamslib_mws.html}
#' @references
#' \insertRef{HORO:93}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Lobying from Capitalists and Unions and Trade Protection
#' @name trade_protection
#' @docType data
#' @keywords dataset
#' @description a cross-section of 194 United States
#' @format a tibble containing:
#' - ntb: nontariff barrier coverage ratio
#' - vshipped: value of shipments
#' - imports: importations
#' - elast: demand elasticity
#' - cap: lobying
#' - labvar: labor market covariate
#' - sic3: 3-digit SIC industry classification
#' - k_serv: physical capital, factor share
#' - inv: Inventories, factor share
#' - engsci: engineers and scientists, factor share
#' - whitecol: white collar, factor share
#' - skill: skilled, factor share
#' - semskill: semi-skilled, factor share
#' - cropland: cropland, factor shaer
#' - pasture: pasture, factor share
#' - forest: forest, factor share
#' - coal: coal, factor share
#' - petro: petroleum, factor share
#' - minerals: minerals, factor share
#' - scrconc: seller concentration
#' - bcrconc: buyer concentration
#' - scrcomp: seller number of firms
#' - bcrcomp: buyer number of firms
#' - meps: scale
#' - kstock: capital stock
#' - puni: proportion of workers union
#' - geog2: geographic concentration
#' - tenure: average worker tenure, years
#' - klratio: capital-labor ratio
#' - bunion:
#' @source American Economic Association Data Archive : \url{https://www.aeaweb.org/aer/}
#' @references
#' \insertRef{MATS:SHER:06}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Determinants of household trip taking
#' @name trips
#' @docType data
#' @keywords dataset
#' @description a cross-section of 577 households from 1978
#' @format a tibble containing:
#' - trips: number of trips taken by a member of a household the day prior the survey interview
#' - car: 1 if household owns at least one motorized vehicule
#' - workschl: share of trips for work or school vs personal business or pleasure
#' - size: number of individuals in the household
#' - dist: distance to central business district in kilometers
#' - smsa: a factor with levels `"small"` (less than 2.5 million population) and `"large"` (more than 2.5 million population)
#' - fulltime: number of fulltime workers in household
#' - adults: number of adults in household
#' - distnod: distace from home to nearest transit node, in blocks
#' - realinc: household income divided by median income of census tract in which household resides
#' - weekend: 1 if the survey period is either saturday or sunday
#' @source kindly provided by Joseph Terza
#' @references
#' \insertRef{TERZ:98}{micsr}
#'
#' \insertRef{TERZ:WILS:90}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Temporary help jobs and permanent employment
#' @name twa
#' @docType data
#' @keywords dataset
#' @description a cross-section of 2030 individuals
#' @format a tibble containing:
#' - id: identification code
#' - age: age
#' - sex: a factor with levels `"female"` and `"male"`
#' - marital: marital status, `"married"` or `"single"`
#' - children: number of children
#' - feduc: father's education
#' - fbluecol: father blue-color
#' - femp: father employed at time 1
#' - educ: years of education
#' - pvoto: mark in last degree as fraction of max mark
#' - training: received professional training before treatment
#' - dist: distance from nearest agency
#' - nyu: fraction of school-to-work without employment
#' - hour: weekly hours of work
#' - wage: monthly wage
#' - hwage: hourly wage at time 1
#' - contact: contacted a temporary work agency
#' - region: one of `"Tuscany"` and `"Sicily"`
#' - city: the city
#' - group: one of `"control"` and `"treated"`
#' - sector: the sector
#' - occup: occupation, one of `"nojob"`, `"selfemp"`, `"bluecol"` and `"whitecol"`
#' - empstat: employment status, one of `"empl"`, `"unemp"` and `"olf"` (out of labor force)
#' - contract: job contract, one of `"nojob"`, `"atyp"` (atypical) and `"perm"` (permanent)
#' - loc: localisation, one of `"nord"`, `"centro"`, `"sud"` and `"estero"`
#' - outcome: one of `"none"`, `"other"`, `"fterm"` and `"perm"`
#' @source Journal of Applied Econometrics Data Archive : \url{http://qed.econ.queensu.ca/jae/}
#' @references
#' \insertRef{ICHI:MEAL:NANN:08}{micsr}
#' @importFrom Rdpack reprompt
NULL
#' Apple production
#' @name apples
#' @docType data
#' @keywords dataset
#' @description yearly observations of 173 farms from 1984 to 1986
#' @format a tibble containing:
#' - id: farm's id
#' - year: year
#' - capital: capital stock
#' - labor: quantity of labor
#' - materials: quantity of materials
#' - apples: production of apples
#' - otherprod: other productions
#' - pc: price of capital
#' - pl: price of labor
#' - pm: price of materials
#' @source Journal of Applied Econometrics Data Archive : \url{http://qed.econ.queensu.ca/jae/}
#' @references
#' \insertRef{IVAL:LADO:OSSA:SIMI:96}{micsr}
#' @importFrom Rdpack reprompt
NULL
Try the micsr package in your browser
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