Skip to main content
Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Code code:"if (foo != bar)"
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Saves in:saves
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with
Search options answers only not deleted user 61

Use this tag to discuss empirical papers and issues arising when applying theoretical models to data. For theoretical econometric issues, use the `econometrics` tag

1 vote
Accepted

Producer Econometrics: Univariate modelling with missing data

It is called "imputing" values. Find the linear trend between 2012 and 2014 revenue and impute this value for 2013. In your case, it is just the average between the revenues before and after.
Alecos Papadopoulos's user avatar
3 votes
Accepted

Interpretation of a differenced regression

If the levels specification is deemed acceptable, $$y_t = \beta_0 + \beta_1 x_t + \beta_2 x_t^2$$ then it follows that the first-difference specification should not include a constant term in order …
Alecos Papadopoulos's user avatar
3 votes

Demand function estimation

It appears that you suspect that the regressor "price" is endogenous, i.e. correlated with the error term, and that you consider what kind of instrument to use in order to tackle endogeneity. You t …
Alecos Papadopoulos's user avatar
1 vote

How to detect if Ergodicity, Stationarity and Martingale. dif. sequence are satisfied?

I have to disagree on some points in @Michale answer. For a Weak Law of Large numbers to hold, stationarity, either strict or "weak"(alternatively called "2nd-order" or "covariance-stationarity"), i …
Alecos Papadopoulos's user avatar
2 votes

Forecasting vs econometrics, how is regression used differently?

In forecasting, we just want to predict what will happen. So assuming that there is a certain degree of stability in the relation, so that the relation is valid outside the sample, we estimate how pas …
Alecos Papadopoulos's user avatar
2 votes
Accepted

Endogeneity and Partial effect interpretation of coefficients

I am not sure where the interpretation issue lies. If we look at a relation $$y = b_0 + b_1x_1 + u \tag{1}$$ and we declare that we would like to estimate $b_0$ and $b_1$ but that $x_1$ is "endogeno …
Alecos Papadopoulos's user avatar
1 vote

Detecting the presence of measurement error

With observational data, I would say measurement error always exists. The real issue is "how severe" is the measurement error. Evidently in order to be able to assess the severity, "experimental-lik …
Alecos Papadopoulos's user avatar
1 vote

Expected Value of a Infinite Process

You are asking about the expected value of the leading term of a sequence. There can be no general answer given the assumptions you make, since for example $$x_{t+1} = x_{t} + v_{t+1}, \;\;\;E(v_{t+1 …
Alecos Papadopoulos's user avatar
1 vote

Macroeconometrics:How to measure capital depreciation?

In order to measure the depreciation rate from the law of motion of capital, you need to have data on capital. But usually capital data series are constructed from investment, with a more-or-less arbi …
Alecos Papadopoulos's user avatar
1 vote
Accepted

Estimating production functions with time series data

How do we develop concise production functions from a set of equations like these? It goes the other way around. VAR's are a special group of models for time series data, developed mainly for …
Alecos Papadopoulos's user avatar
1 vote

Is health care equal in the emergancy room?

Instead of just flagging this question for closing as "unclear what you are asking" (which I did), I will also provide an answer to show why this is so, in the hope that the OP will rework their quest …
Alecos Papadopoulos's user avatar
5 votes
Accepted

The Econometrics of the Stone Geary Production function

Stone-Geary production functions attempt to reflect the real-world observation that for production to be feasible, there exist minimum thresholds in the quantities of inputs employed. This is not abou …
Alecos Papadopoulos's user avatar
2 votes
Accepted

Substitute a continuos variable with a categorical one in Linear regression

You can use the continuous variable "Assets" as stand-alone, and use its categorical incarnation for the interaction term. While we may be accustomed to use "automatically generated" interaction terms …
Alecos Papadopoulos's user avatar
2 votes

Interpretation of ACF and PACF

In some statistical software (not all), in a correlogram the "zero lag" is also depicted - but the zero lag is just the correlation of a random variable with its own self, so it is by construction equ …
Alecos Papadopoulos's user avatar
1 vote
Accepted

Why $v_i=(X_i-\mu _X)u_i$ is i.i.d?

Even after the comments exchange I am not totally sure what is the problem of the OP, but I will answer the question in the title. Assume that we have a model $$Y_i = \beta X_i + u_i,\;\;\; i=1,.. …
Alecos Papadopoulos's user avatar

15 30 50 per page