研究数据普通数据

中介效应与调节效应检验案例合集

数据格式 Excel / Stata / CSV / Stata代码 / PDF / Word / ZIP / RAR更新日期

数据摘要

资料汇集中介效应、调节效应及有调节的中介模型相关案例,包含检验结果、Bootstrap分析和配套示例资料。可用于学习效应路径检验、结果解释与实证报告表达,具体操作需结合对应案例的软件与模型设定。

基本信息

数据频率年度
当前预览样本量17592 行
文件格式Excel / Stata / CSV / Stata代码 / PDF / Word / ZIP / RAR
文件包大小136.27 MB
包含内容数据表28份、代码32份、文档64份、图片4份、压缩文件2份、其他文件14份
所属分类

样本年份分布

合计 17,592 行 · 7 个年份

查看年份明细
年份样本量
20102,011
20112,293
20122,447
20132,449
20142,573
20152,796
20163,023

测算方法

中介效应分析通过联合估计中介变量方程和结果变量方程,识别自变量经中介变量传导的间接效应,并由相关路径系数的乘积计算效应大小。调节效应分析在模型中加入调节变量及交互项,考察自变量或中介变量的影响是否随调节变量取值变化。对于被调节的中介效应,分别在调节变量均值、均值减一个标准差和均值加一个标准差处计算条件间接效应;两个调节变量的模型考察相应的九种取值组合。采用结构方程模型获取路径系数,通过Delta方法或Bootstrap计算标准误与置信区间,Bootstrap示例采用500次重复,并报告百分位及偏差校正置信区间。资料包含多种中介、调节和条件过程模型,应按各案例的路径设定构建方程。

以下字段、样本量及样本仅对应当前展示的数据表,不代表资料包全部文件。查看文件结构

字段列表共 15 个字段

字段含义 / 说明类型均值标准差最小值最大值缺失率
stkcd—整数279402.707275637.313116039990.0000%
year—整数2013.2369261.990462349201020160.0000%
y企业环境战略数值0.54833983740.956659887504.0943446160.0000%
x高管团队环境注意力数值1.9604669184.530579041014.593063350.0000%
med1—数值6.6367832676.882807489017.291196820.0000%
med2—数值0.15758845490.120167556500.55833923820.0000%
SIZESize数值22.001200751.40705035619.07334927.027942660.0000%
ROA—数值3.8379046775.562451938-22.4313869520.606887820.0000%
LEVLeverage数值44.0238058523.097460394.6918109.95310.0000%
ATTRStateOwned整数0.3864824920.4869571384010.0000%
TOP1Top1数值35.2431235115.356276370.28999999289.989997860.0000%
ACADEMIC—整数0.3864824920.83712211620130.0000%
MARKETmarket数值7.8709114121.901479928-0.310.768460830.0000%
INDgroup(ind_a)整数5.0655411553.5921913861180.0000%
公众号【马克数据网】www.macrodatas.cn—————100.0000%

数据样本预览

资料样本(部分数据)

仅可预览前100 行、100 列,滚动查看其余行列,完整数据以下载文件为准。

stkcdyearyxmed1med2SIZEROALEVATTRTOP1ACADEMICMARKETIND
120100000.056081727147127.02794265750.86362421512695.3941014.9600000407.7310
120110000.0018996017752227.02794265750.82583498954894.0087042.1599998507.9110
120120.693147182465000.0011359906056927.02794265750.84098619222694.7216042.1599998518.3710
120130000.00086120987543827.02794265750.80513179302294.0752050.2000007618.6910
120140001.75498153112e-0527.02794265750.90566486120294.0109050.2000007619.3510
12015000027.02794265750.87210577726493.5584049.5600013709.9424581670510
120161.098612308500027.02794265750.76517814397893.1547049.56000137010.560783544410
220100000.47560688853326.09686660774.0992822647174.6861014.7299995427.7311
220110000.47745865583426.41432762153.9160339832377.0997014.7299995437.9111
220120000.48885190486926.66028022774.1347689628678.3163014.7200002738.3711
220130.693147182465000.53124266862926.89539337163.8183135986377.997014.6999998138.6911
220140000.52481472492226.95455169683.7937023639777.2046014.9099998539.3511
220150000.50115549564427.02794265754.2449874877977.7015015.2299995419.9424581670511
220160000.50154638290427.02794265753.4129219055280.5367015.23999977110.560783544411
420100000.074641562998319.07334899910.965874671929.8574026.1000003827.733
420110000.130025252719.09519195564.6830005645829.4935026.1000003817.913
420120000.11156068742319.0777530674.0506353378323.2528026.1000003818.373
420130000.30634856224119.30507659912.3938467502640.3239026.1000003818.693
420140011.52733135220.38126021623619.63939285284.6188645362953.4754026.1000003809.353
42015011.48710536968.294300079350.018504949286619.8036537171.7199918031759.0402028.4200000809.942458167053
42016008.294300079350.044584583491119.225889205917.752983093320.3456028.42000008010.56078354443
520100000.058376412838720.9807014465-0.34217360615747.796020.1499996207.7314
520110000.20971709489820.95484352110.90550345182447.6484020.1499996207.9114
520120000.24930258095321.00067138671.6686805486748.3142020.1499996208.3714
520130000.19258642196720.8960876465-3.5624122619647.4831020.1499996208.6914
520140015.49168300630.17993757128721.03563880923.1583440303850.9964020.1499996209.3514
52015011.002116203314.84840488430.1763224005721.5089969635-2.4626936912544.704017.4099998509.9424581670514
52016013.774689674400.19906011223821.65039253234.6280779838646.3708017.40999985010.560783544414
620100000.27824521064822.87133598335.7942056655970.1421119.9300003127.7311
620110000.37581181526222.84216499335.216514587465.2855119.9300003117.9111
620120000.18650943040822.95793914796.7380542755162.0165119.9300003118.3711
620130000.22383908927423.02266120917.0023865699857.9972120.3099994718.6911
620140000.16971151530723.18739318854.3601131439264.142121.9300003109.3511
620150000.21626146137723.26514434813.454054117264.6151121.9300003109.9424581670511
620160000.18389873206623.30123710636.1036672592261.0499121.93000031110.560783544411
720100000.069595895707619.62191390996.52790307999109.8531021.7399997707.7311
720110000.31216162443219.70830154422.2930989265419.342017.4099998507.9111
720120000.048179388046320.48713874820.56140416860662.4158017.4099998508.3711
720130000.25738689303420.30397415162.8639180660246.2754017.4099998508.6911
720140000.016812361776820.3389625549-4.9025421142647.4294013.4200000819.3511
720150000.014475425705319.99005508422.7560055255922.3847015.1700000809.9424581670511
720160000.024140905588920.058448791515.857909202614.9962013.52999973010.560783544411
820100000.016587862744919.0733489991.140668511394.6918023.1499996207.663
820110000.078502081334619.073348999-0.6984406709674.6918023.1499996207.833
820120000.066830545663820.23522758486.3745751380911.8931062.7099990808.313
820130000.070835314691120.25586128233.6318242549910.0605062.7099990808.73
820140013.89535331730.097350604832220.32878303531.152237296111.2276051.4799995409.083
82015013.815277099616.21471023560.07993849366922.00123786935.2908997535718.9809028.2199993109.391475967113
82016013.567255973814.86451244350.072439901530722.82650375376.4758191108724.6583012.4600000409.750809597593
920100015.70187282560.13187599182123.02831268314.4050831794762.95308.4399995817.7318
920110016.56319236760.12672001123423.19014739993.2279601097165.0402011.9600000417.9118
920120016.3740482330.12305693328423.30130767822.3331062793764.3669012.3400001518.3718
92013012.807655334516.16119194030.12505477666923.33420372013.2629864215962.8798012.3400001518.6918
92014014.137595176716.34012794490.10663225501823.41284561163.2090508937862.8934012.3400001519.3518
92015013.926605224616.23843002320.089472003281123.61994743355.119718074863.8202011.9099998519.9424581670518
92016012.028744697616.56378173830.11789017915723.79701995851.9399876594562.3791011.90999985110.560783544418
1020100000.33205348253319.17304611211.8060520887459.742024.0699996907.735
1020110013.59236812590.33254906535119.28886413573.5148866176660.644024.0699996907.915
1020120010.81979846950.17155894637119.29523086551.498619198860.2239024.0699996908.375
1020130000.14567808806920.75067710880.37077236175535.8152029.9899997718.695
1020140000.14133673906320.5053806305-9.365408897431.4128029.9899997719.355
1020150000.17883102595822.36703872680.62703812122357.818021.5100002319.942458167055
1020160000.29434007406222.30548858640.80018931627354.3325021.51000023110.56078354445
1120100000.11308096349221.79254531866.0069217681969.9635154.2200012207.7311
1120110000.2471965849421.97591781627.3568539619467.6791154.3100013707.9111
1120120000.10502276569622.09716033949.4874725341861.9304154.3300018308.3711
1120130000.052559416741122.07736015327.7671298980753.4334154.3300018308.6911
1120140000.19268043339322.079948425310.751164436346.5632154.3300018309.3511
1120150000.39842283725722.20026016243.5805578231852.0347154.3300018309.9424581670511
1120160000.18707324564522.61853790285.3327059745863.7636154.33000183010.560783544411
1220101.6094379425000.10388224571923.246561050412.806793212945.794503.69000005707.733
1220112.39789533615000.10037133097623.44990158088.7525815963752.190603.61999988607.913
1220122.99573230743000.076049134135223.38602638242.5796015262649.300403.61999988618.373
1220132.56494927406000.070531621575423.436559677111.110346794144.286803.61999988618.693
1220142.56494927406000.066467948257923.43907356266.2166876792942.756103.61999988619.353
1220150.693147182465000.077693745493923.46343421944.1307244300849.144011.0799999219.942458167053
1220160000.09260971844223.56507873544.690238475852.5907015.44999981110.56078354443
1420100000.12005484104221.18684577944.8823280334564.7874132.0200004617.7311
1420110000.19121593236921.30955696113.596099615166.3812132.0200004607.9111
1420120000.11415878683321.4266128541.6419211626168.6526132.0200004608.3711
1420130000.14448013901721.36127853391.8601747751264.9425132.0200004618.6911
1420140000.15748181939121.52828216552.806916475367.6601132.0200004619.3511
1420150000.14077441394321.49822998052.4607412815164.3892132.0200004629.9424581670511
1420160000.29903179407121.35124206541.5536601543457.5952132.86999893210.560783544411
1620104.09434461594016.00976753230.2176086604623.52461814880.61450254917174.347711907.733
1620113.29583692551015.72357082370.24298717081523.55096054080.14301857352374.940811907.913
1620122.63905739784016.70966339110.27882733941123.53043174740.27433919906674.359311908.373
1620132.89037179947015.9133567810.25976365804723.47967910770.38012358546372.813211908.693
1620142.07944154739000.29889604449323.54341506960.36070924997374.3884121.7509.353
1620150.693147182465000.30303153395723.3800487518-8.9530658721978.4184121.7509.942458167053
1620160000.2034872621323.57067871090.5345631241880.7546121.75110.56078354443
1720100000.55833923816719.07334899920.6068878174109.9531011.8100004207.733
1720110000.55833923816719.07334899920.6068878174109.9531011.8100004217.913
1720120000.089518286287819.073348999-22.4313869476109.9531011.8100004208.373
1720130000.25003305077619.07334899920.606887817494.9187011.5200004608.693
1720140000.21392469108119.07334899911.2313823773.7887011.5200004609.353
1720150000.26018649339719.073348999-0.23093712329970.8077011.5200004609.942458167053
1720160000.18592555820919.0733489997.1948676109368.0489011.52000046010.56078354443
1820100000.034920688718619.09225845341.2113144397727.6472025.5100002307.735
1820110000.034988194704119.073348999-10.11590480831.68025.5100002307.915

代码公开披露

仅展示前 30 行,供了解变量构造与处理流程,完整代码请下载文件查看。

'
use data.dta, clear 

* 控制控制变量 ControlVariables
global ControlVariables SIZE ROA LEV ATTR TOP1 ACADEMIC MARKET i.IND  i.year 
 

* 链式中介命令
capture program drop mediation
program mediation, rclass
  gsem (med1 <- x $ControlVariables) (med2 <- x $ControlVariables) (y <- med2 med1 x $ControlVariables), vce(cluster stkcd) nocaps 
  return scalar cie1 = _b[med1:x]*_b[y:med1]
  return scalar cie2 = _b[med2:x]*_b[y:med2]
  return scalar direct_effect=_b[y:x]              
  return scalar total_effect=_b[y:x]+_b[med1:x]*_b[y:med1]+_b[med2:x]*_b[y:med2]
  end
set seed 12345

* 运行命令
mediation

* Bootstrap 中介效应
bootstrap r(direct_effect) r(cie1) r(cie2)  r(total_effect), reps(20) : mediation
estat boot, bc percentile